Consolidated
Non-Financial Statement 2023
Prepared pursuant to Legislative Decree no. 254/2016

2023 Non-Financial Statement

II   Datalogic GroupConsolidated
Non-Financial Statement 2023
Prepared pursuant to Legislative Decree no. 254/2016

Table of Contents
Letter to Stakeholders5Background82023 at a glance

10

About us12European Taxonomy

22

Responsible business conduct

34

Materiality analysis

45

Product and Supply Chain

48

Environment

60

People68

Methodological Note

80

GRI Table of Contents

84

Independent Auditors Report

92

Datalogic Group   3

Dear Stakeholders,
2023 was a challenging year dominated by great uncertainty. The macroeconomic scenario was marked
by persistent geopolitical tensions, high inflationarypressures and restrictive monetary policies, whichdampened investment activities in our major markets.
This consequently led to a drop in demand and orders
for the Group.
Amidst these challenges, our dedication to sustainability has grown stronger. We redefined andimproved the Materiality Analysis process, incorporating feedback from our key stakeholders in defining sustainability priorities and in identifying 10
material topics. This has laid a solid foundation for
the formulation of strategic sustainability goals inalignment with evolving Sustainability Reporting
legislation.
We also implemented the principles of the E­ uropean
Taxonomy on Sustainable Finance (the first internationally unified classification system identifying
sustainable economic activities). Anticipating certain
regulatory obligations on a voluntary basis, we already disclosed this year the share of revenue, operating
costs, and investments eligible and aligned with the 6
objectives of the Taxonomy.

Datalogic’s activities continue to align with the path
towards sustainable development, particularly regarding the transition to a circular economy. As evidence, 96% of our Group Revenue is eligible and alignedwith the objectives of the Taxonomy.
Research, development and innovation remain pivotal issues for our Group. Innovation continues to be acompetitive lever for our success. In 2023, the totalmonetary costs for Research and Development (R&D
Cash Out) amounted to €66.7 million with a percentage of revenue of 12.4%. The Vitality Index in 2023
stood at 7.4%.
Product Quality and Safety, along with Customer
Centricity, represent our commitment to continuallyenhancing the Quality Management System. This ensures the delivery of high-quality, effective, and certified product offerings, with the primary objective ofcustomer satisfaction, spanning from product use toafter-sales service. We continuously monitor any product non-conformities, which, at December 31, 2023,
were identified in approximately 0.8% of the total
active stock. No instances of non-compliance with regulations or self-regulatory codes concerning the health and safety impacts of our products and services

Datalogic Group   5

2023 Non-Financial Statement

were recorded. Additionally, from a customer safety
perspective, there were no complaints regarding privacy violations or losses of customer data. We consistently monitor the customer experience by examining“Critical Customer Complaints” and ensuring timely
feed-­back. In 2023, 94.7% of responses were provided within one business day, while 92.6% of cases
were concluded within 3 business days. Net Promoter­Score (NPS), the main metric of customer satisfaction,
was 65 in 2023 (10 points higher than in 2022).
Responsible supply chain - our direct supplier qualification process includes risk and financial sustainability assessments. Qualification procedures entail
signing up to the Code of Ethics, which includes references to compliance with current regulations, including REACH and RoHS, for assessing environmental
impacts and human rights. In 2023, 75% of new directmaterial suppliers were also evaluated based on ESG
parameters.
Energy and emissions - while our processes are notparticularly energy-intensive, we are actively involved
in monitoring and reducing the environmental impactof our consumption. In 2023, total consumption was
68,473 GJ versus 76,964 GJ in 2022 (-11%).
Waste and packaging - at all our sites, waste is managed in accordance with current regulations, keeping
track of the waste generated, distinguishing between
hazardous and non-hazardous materials. The types ofwaste generated include materials from production
processes, maintenance (routine and extraordinary)and laboratory activities, demolition if any, and officeactivities. In 2023, the Group’s total waste amounted

6   Datalogic Groupto 757.2 t versus 810.7 t in the prior year (-7%). Additionally, in the packaging area, we focused on utilising
recyclable materials and reducing over-packaging. In
2023, 66% of the total value of the product boxes consisted of approximately 80% recycled material.
Material sustainability - in 2023, a number of material sustainability projects were launched; in addition
to packaging, we launched a project aimed at increasing the use of recycled plastics instead of virgin plastics in the manufacturing of our products.
People well-being - people remain one of our priorities. In 2023, our commitment to listening to our employees continued. Following up on the Virtual Focus
Groups held in 2022, we launched several initiatives(including increased working time flexibility, “kindergarten” and “book” bonuses, and a Smart Working Policy) in our main countries of operation. The focus on
people growth is shown by the percentage of internal
promotions to senior management positions of 58%
in 2023.
Worker Health and Safety - our Health and Safety Policy includes ongoing prevention in workplace ­healthand safety, and environmental protection in compliance with applicable legislation. To this end, the implementation of the ISO 45001 standard in the Groupreached 60% coverage globally. In Italy, the systemcovers 100% of employees, ensuring full compliance with occupational health and safety standards. All
Group companies routinely conduct information andtraining activities on health and safety issues. These
activities are based on the results of risk ­assessments,
internal or external monitoring, and critical events

such as near misses, accidents, or contextual circumstances. Courses are developed in accordance withcurrent regulations in the relevant country. In 2023
there were 22 minor accidents, most of them due toaccidental falls or collisions, with an annual accident
frequency rate of 3.7.
The journey we have embarked on since 2017 in
non-financial reporting, aligning with our aim of contributing to the Sustainable Development Goals of theUnited Nations 2030 Agenda, has led us to continuously enhance and refine the content of this document.
This path will prepare us for the implementation of the
Corporate Sustainability Reporting Directive (CSRD)
starting next year.
Enjoy your reading!

Valentina VoltaGroup CEO

Datalogic Group   7

2023 Non-Financial Statement

Background
Challenges and opportunities
for the automatic data capture
and automation industry
In 2023, the global economy faced notable challenges, marked by a structural slowdown in the post-pandemic recovery. Advanced economies experienced
modest growth of 1.4%, while emerging economies boasted stronger performance with a 4.1%
increase. High inflation and tight monetary policy
have held back investment in many sectors, while
geopolitical tensions have contributed to ­global uncertainty1.
This scenario negatively affected Datalogic’s industry,
which saw a sharp drop in demand in 20232.
Nevertheless, the industry’s medium-to long-term
projections remain optimistic. These forecasts areunderpinned by structural growth trends in technological innovation and industrial automation, regardless of macroeconomic cycles and variables.
However, recent developments have opened up newmarket prospects for the automatic data capture
and automation industry. This is primarily due tothe increasing demand for automation and the needto restructure supply chains to enhance efficiency
and minimise vulnerabilities. The shift toward omni-­channel is also spurring investment in more advanced logistics infrastructure. In this context, the“smart factories”, focusing on integration, automation, sustainability and flexibility, represent a significant opportunity for the industry. In fact, Automatic
Identification and Data Capture (AIDC) technologies
are key to achieving these goals, enabling improved
1
2

International Monetary Fund.
VDV Research, AutoID & data capture predictions, 2023.

8   Datalogic Group

traceability, asset and industrial process management, and operational efficiency, key elements forfactories of the future that increasingly rely on IT,
OT, and IoT to optimise processes and reduce costs3.
Moreover, AIDC technologies are emerging as pivotal tools to facilitate the transition to sustainable
practices. They enable companies to provide consumers with information on product provenanceand comply with circular economy initiatives. The
introduction of the Digital Product Passport (DPP) in
the EU Strategy significantly strengthens their use,encouraging investment in AIDC to improve producttransparency and traceability. This approach promotes more responsible and sustainable consumption, underscoring the sector’s contribution to fostering a more responsible economy.
In this context, through the Green Deal, the E­ uropean
Union has set a goal of becoming the first continent
in the world to achieve carbon neutrality by 2050.
This has been further delineated into intermediate targets, as outlined in the “Fit for 55” climate package
introduced in July 2021. These targets encompass a
55% reduction in greenhouse gas emissions from1990 levels, a 40% increase in the share of energy
from renewable sources in the European energy mix,
and a 36% energy efficiency goal.

National ICT Business Association, The Digital Push Toward the
Smart Factory3

Sustainable finance plays a key role in achieving
the goals under the European Green Deal. In 2018,
the EU implemented a plan to channel capital towards
sustainable investments, overseen by the European
Commission through various mechanisms, one ofwhich is the EU Taxonomy for Sustainable Finance.
Additionally, the Corporate Sustainability Reporting
Directive (CSRD), effective January 5, 2023, will require environmental and social performance reporting
for approximately 50,000 companies by 2028, according to the standards of the European Financial Reporting Advisory Group (EFRAG).

Datalogic Group   9

2023 Non-Financial Statement

2023 at a glance50+
years of history

536.6€ million in revenue in 2023

2,910

29

13

66.7

employees

countries of Datalogic operations

manufacturing and repair plants(Italy, China, Slovakia, Hungary,USA, Australia, Vietnam)€ million in R&D cash-out,
accounting for 12.4% of revenue

11~1,2007.4%

research centres(USA, Italy, China, Vietnam)10   Datalogic Group

number of patents

Vitality Index(new product sales revenue
as a percentage of total revenue)

4

65

75%

ISO certifications for environment,
worker safety, quality andinformation security

Net Promoter Score(10 points higher than in 2022)of the new direct material suppliers
were also evaluated on ESG criteria

-11%

66%

120

reduction of energy consumption
with resulting reduction ofemissionsof the valueof packaging (product box)
is 80% recycled material

the estimated tons of virgin plastics
that can be replaced with plastics
containing recycled material

58%

35%

SA8000% of internal promotions
to senior management rolesof the new hires are young people
under 30

certifies respect for human rights
and compliance with labour law(extended to an additional 2Group companies in 2023)

Datalogic Group   11

2023 Non-Financial Statement

About us[GRI 2-1] [GRI 2-2]

Group Profile
Datalogic S.p.A., a company listed on the Euronext
STAR Milan of Borsa Italiana S.p.A. since 2001, is aworld leader in the fields of automatic data capture
and industrial automation. Starting in 2023, Datalogic
S.p.A. became part of Euronext Tech Leaders, a segment comprising over 120 European companies listed
on Euronext’s high-growth markets and recognised
leaders in the technology sector.
The Group is specialised in the design and productionof barcode readers, mobile computers, detection,measurement and safety sensors, vision and laser
marking systems and RFID. Its pioneering solutions
help increase the efficiency and quality of processes
along the entire value chain in the Retail, Manufacturing, Transportation & Logistics and Healthcare
segments.

13 Manufacturing & Repair sites
11 R&D centres and 3 DL Labs
Oﬃces in 29 countries

12   Datalogic Group

Customer proximity and responsiveness to specific needs,
coupled with ongoing technological innovation and thedelivery of high-quality offerings, have been the cornerstones of Datalogic’s success for over fifty years now.
With products used extensively in more than onethird of supermarkets and retail outlets worldwide,
and in one-third of airports, transportation companies and postal services as well as in major manufacturing industries and hospital facilities globally,
Datalogic offers its customers a wide range of solutions that meet all market needs.
The Group has also developed a strong foothold ininternational markets through acquisitions, with apresence in 29 countries in Europe, Asia Pacific, andthe United States.

VisionShaping the future with intelligence andinnovation.

MissionWe enable our customers to gain acompetitive edge by offering the mostadvanced Data Capture and Industrial
Automation products and solutions.

2023 Non-Financial Statement

Company scope and shareholder base
[GRI 2-2]
The Datalogic Group’s global expansion underscores its international bent and dedication to meeting the needs of customers worldwide, thanks to thequality of its products and investment in research anddevelopment, as well as acquisitions made over time.
Today Datalogic has approximately 2,900 employees
spread across 29 countries, with 13 manufacturing
plants and repair centres located in the United States,

Datalogic S.p.A.
R4i S.r.l.
(20%)(50.0%)CAEN RFID S.r.l.
(20%)

Datalogic IP Tech S.r.l.

Datasensor GmbH(30%)

Datalogic USA, Inc.
(100%)

Datalogic S.r.I.
(100%)

Datalogic (Shenzhen)
Industrial Automation Co.,
Ltd. (100%)

Datalogic Automation AB(Sweden)(20%)(99.9%)(50.0%)

Datalogic Singapore
Asia Paciﬁc Pte. Ltd.
(100%)(0.1%)

Datalogic Technologias
de Mexico
S. de R.L. de C.V.
(99.999%)

Datalogic (Shenzhen)
Industrial Automation Co. Ltd.
(Shangai Branch)(0.001%)

Datalogic do Brasil
Ltda.

Datalogic (Shenzhen)
Industrial Automation Co. Ltd.
(Beijing Branch)

Datalogic Singapore
Asia Paciﬁc Pte. Ltd.
(Korea Branch)Suzhou Mobydata
Smart System Co. Ltd.
(51%)

BranchLegal entity

ITALY/EMEAAMERICAS

14   Datalogic GroupAPAC

IP TECHREAL ESTATEOTHER

Hungary, Slovakia, Italy, China, Vietnam and Australia.
The company’s global presence highlights its capacity
to operate on an international scale, providing innovative solutions and high-quality services worldwide.
At December 31, 2023, the Group’s shareholder
base consisted mainly of Hydra S.p.A. (64.85% of theshare capital), with the remaining share being on thestock market (35.15%).
Datalogic also holds treasury shares amounting to
8.2% of the share capital and 5.0% of voting rights
having the Company adopted the so-called increased voting rights system.

Datalogic Real Estate UK
Ltd. (100%)

Datalogic S.r.l. UK

Datalogic Australia
Pty, Ltd.
(100%)

Datalogic Vietnam LLC(100%)
Datalogic Slovakia S.r.o.
(100%)

Datalogic Real EstateFrance Sas(100%)

Datalogic S.r.l.
(Succursale en France)

Datalogic S.r.l.
(Sucursal en España)

Datalogic Hungary Kﬅ.
(100%)
Datalogic S.r.l. Benelux

Informatics Holdings,
Inc. (100%)

Datalogic Japan Co. Ltd(100%)
Datalogic S.r.l. Italian Filial

Datasensing S.r.l.
(100%)

Wasp Barcode
Technologies, Ltd.
(100%)

Datalogic S.r.l.
(Spòlka z ograniczona
odpowiedzialnoscia)
oddzial w Polsce

Datasensing S.r.l.
(Succursale en France)

Datalogic S.r.l. Merkezi Italya
Istanbul Merkez Subesi
Datalogic S.r.l.
Niederlassung
Deutschland

Datalogic S.r.l.
incorporated
in Bologna Italy

Datasensing
Ibérica S.A.U.
(100%)

M.D. Micro Detectors(Tianjin) Co. Ltd.
(100%)

Pekat odštěpný závod

Pekat S.r.l.
(100%)

Datalogic S.r.l.
Organizačná zložka
zahraničnej
osoby pre Slovensko

Datalogic Scanning Eastern
Europe GmbH (Germany)(100%)

Datalogic S.r.l.
Sucursala Bucuresti

Datalogic S.r.l.
Niederlassung Central Europe

Datalogic Group   15

2023 Non-Financial Statement

Group History
Today

2002
2015

2001
■

Datalogic is listedon the New Marketof the Milan Stock
Exchange.

1995
1999

■

■

■ Datalogic invests
The Group expands its
over €50 million
presence through key
acquisitions, becoming a world in research anddevelopment, with anleader in barcode readers inever-expanding wealth2005 with PSC, consolidatingof approximately 1,200
Industrial Automation inpatents and pending
2008 with Datasensor, andpatent applications inenhancing “machine vision”
several jurisdictions.
with Evolution Robotics Retailin 2010 and PPT Vision in
2011. In 2012, the acquisitionof Accu-Sort Systems doubles
its presence in Industrial
Automation, while in 2015,
the acquisition of 20% of
CAEN RFID Srl expands its
solutions, particularly in Retail,Warehousing and Transport& Logistics, with UHF RFID
technology.

A joint venture is created ■ The first automatedbaggage handlingwith the Japaneseapplication is successfully
Izumi Group. In 1997,
Datalogic acquires IDWare implemented at Milan
Linate Airport. In thisMobile Computing &Communications, Europe’s decade, Datalogic
has a presence withleading manufacturer offactories, subsidiaries
mobile terminals. In 1999, and distributors in thethe company implements
five continents of Europe,
the world’s first RFID
America, Oceania, Asia
application in a post office. and Africa.

16   Datalogic Group■■ In 2021, Datalogic strengthens
The Group implementsa new organisational
Industrial Automation bystrategy: Retail,acquiring MD Micro Detectors,
Manufacturing, Healthcare specialised in industrial
and Transportation &sensors, complementing its
Logistics. It also acquires
product portfolio. In 2022,
SOREDI Touch Systems
together with MD MicroGmbH, a world leader
Detectors, it establishes
in industrial computer
Datasensing, focused ontechnologies based inmachine vision deep learning
Munich.
and sensor solutions & safety
for Industrial Automation.
In 2022 again, it acquires
the entire share capital of
Pekat S.r.o. (now Pekat S.r.l.),a start-up specialising inmachine learning algorithms
for automation in the
manufacturing, transportationand logistics sectors, withpotential applications in retail.

1976
1978

1984
1988

■

Marketing of Datalogic
products in Japan
begins, and the firstsales company isestablished in the
United States.

2021
2022

2017

2016

1974

■

The first barcode isscanned, prompting
Romano Volta torecognise the potentialof this technology, andintegrate production
with barcode readers.

1972

■

Romano Volta establishes
Datalogic: initially focusedon the production ofelectronic devices, it later
turns to the design andproduction of photoelectric
controls for industries
such as textiles, ceramics
and packaging.

Datalogic Group   172023 Non-Financial Statement

Portfolio and range of Datalogic Group
products

Stationary retail scanners | solutions for checkout
payment transactions in the retail sector.
Handheld scanners | handheld barcode readers forautomatic data capture and process automation in industries such as retail, manufacturing, transportation
logistics, and healthcare.
Mobile computing | handheld devices for data collection using barcodes. They integrate key components
such as display, Wi-Fi system, keyboard, and professional scanning engine. Versatile for a multitude ofapplications including inventory management, pricecontrol, and assisted selling, these solutions provide capabilities for reading both 1D and 2D barcodes
across diverse industries, improving the efficiency andreliability of tracing activities.
Laser marking systems | solutions for reliable traceability applications in industrial manufacturing andassembly that easily integrate into existing systems,
interacting with MES and ERP for more flexible andefficient integrated manufacturing. Datalogic offers
solutions for different applications on various materials, supporting laser technologies such as Fiber,
DPSS, UV infrared, Green and CO2.
Stationary industrial scanners | barcode readers forautomated and unmanned applications and mounted
inside various types of equipment (e.g., conveyors,
packaging and sorting machines). Datalogic’s versatile portfolio of stationary industrial scanners covers
a wide range of barcode reading needs, including 1Dand 2D codes, Direct Part Marking (DPM) and Digimarc™ packaging.

18   Datalogic Group

RFID devices | technology that reads multiple tags
simultaneously, tracking and collecting data in realtime while minimising human error, from production
to post-sales. Datalogic provides high-frequency RFID
devices, facilitating the unique tracking of each item
and lowering operational costs across industries suchas retail, transportation, logistics, manufacturing, andhealthcare.
OEM barcode readers | OEM scan engines and scan
modules solutions to integrate readers in various industries, offering different options for data capture
and output via different interfaces. These devices ensure speed, accuracy and efficiency in data collection.
Machine Vision | intelligent devices for automatic factory inspection. Compact cameras and vision processors provide solutions for identification, defect detection, robotic guidance and production control. IMPACT
software simplifies configuration with more than 120
instruments. Accessories include filters, lenses, lighting and cables.
Sensors | crucial in industrial automation, detecting
objects, checking integrity, measuring sizes. Photoelectric sensors cover various sizes and surfaces,
while inductive sensors are specific to metal parts.
Capacitive sensors detect liquids or powders, while
ultrasonic sensors are suitable for transparent objects. They are applied in industries such as automotive, electronics, food, pharmaceutical, wood, metals,
textiles, ceramics, glass, stone and paper but are also
used in logistics for automated handling such as conveyor belts, storage, picking, warehouses and distribution centres.

Security devices | optoelectronic instruments that include light barriers, grids and light beams to detect bodyparts. Safety laser scanners are invaluable for protecting
configurable areas and dynamic applications, such as
robotic cells and self-driving vehicles. They are appliedin manufacturing (automotive equipment, electronics,
food processing, pharmaceutical, chemical, etc.) and logistics (automated handling, conveyors, storage, picking, warehouses and AGVs, integrating Lidar and encoders for guidance, navigation and speed measurement).

Datalogic Group   19

2023 Non-Financial Statement

Economic results and value generated
and distributed[GRI 201-1]

The Group ended December 31, 2023 with revenueof €536.6 million, down by 18.0% versus €654.6
million in 2022.
The decline in revenue is primarily attributed to reduced sales volumes across all geographical areas,
stemming from weak demand and industry uncertainty throughout 2023.

In 2023, the value generated by the Group was approximately €519.1 million. 93.2% of the economic value produced by Datalogic was distributed to stakeholders, bothinternal and external, and the remaining 6.8% retained.
The distribution table of the economic value generated enables us to examine how it is allocated among the stakeholders who contributed in diverse ways to its generation.
45

The economic value generated and distributed (483.9 M/€)
2023

2022

2021
Restated4

Consolidated Revenue

536,617654,633

597,846

Change in inventory(27,636)(5,615)55,803

Other components of directly generated economic value

10,147

1,384

4,995

Directly generated economic value

519,128

650,402658,644

Reclassified Operating Costs

287,063389,714404,624

Payments to employees

179,571

186,499

173,622

3,713

3,451

3,022

Payments to shareholders5

6,438

17,61017,561

Payments to the Community

53

53

154

7,112

12,417

7,203

Economic value distributed

483,950

609,744

606,186

Economic value retained

35,17840,65751,858

Payments to lenders

Payments to the PA

4
5

In 2021, the value generated and distributed was restated due to the acquisition of M.D. Microdetectors S.p.A..
The profit attributable to the Group distributed is equal to the allocation of Datalogic S.p.A.’s profit for the year to dividends that the Boardof Directors will propose to the Shareholders’ Meeting convened for April 30, 20244520   Datalogic GroupDatalogic Group   21

2023 Non-Financial Statement

European Taxonomy
On June 18, 2020, the European Parliament approved the European Taxonomy for Sustainable Finance through
EU Regulation 2020/852, which represents the first ever international unified classification system aimed at
identifying sustainable economic activities. Its objective is to enhance transparency and consistency in classifying such activities while mitigating the risk of greenwashing.
The regulations outline the criteria for assessing whether an economic activity qualifies as environmentally sustainable, focusing on six objectives:
1. Climate change mitigation – CCM;
2. Climate change adaptation – CCA;
3. Sustainable use and protection of water and marine resources – WTR;
4. Transition to a circular economy – CE;
5. Pollution prevention and control – PPC;
6. Protection and restoration of biodiversity and ecosystems - BIO.
Delegated Acts identify the economic activities that are eligible for an environmental objective and the criteria tobe assessed, so that each economic activity contributes substantially and does not significantly harm any of theother objectives. To date, the Commission has adopted the following delegated acts:
 The Climate Delegated Act (2021/2139 EU) on climate change mitigation and adaptation objectives (hereinafter also “the climate objectives”), applicable from the first year of reporting on the Taxonomy and supplemented by Delegated Act 2023/2485 EU of June 2023, introduced additional eligible activities with regard to theseobjectives, specifying their technical criteria for substantial contribution and DNSH;
 The Environmental Delegated Act (2023/2486 EU, June 2023) on the other four environmental objectives(hereinafter also “the environmental objectives”), which came into effect for Non-Financial Statements published after January 1, 2024.
Activities carried out by a company that match those listed by the Taxonomy are defined as eligible as they havethe potential to make a substantial contribution to at least one of the six defined objectives. According to theRegulations, an eligible activity can be considered sustainable, and thus aligned, if: it meets the technical screening criteria that define the conditions under which an activity contributes significantly to the achievement of at least one of the six environmental objectives; does no significant harm (“Do no significant harm”, DNSH) to the other five environmental objectives;
 complies with minimum social safeguards, understood as those policies that ensure compliance with aset of international principles on human and labour rights protection, anti-corruption, fair competition andtaxation.

22   Datalogic GroupDatalogic Group’s contribution
Eligibility
In accordance with the regulatory requirements of the Delegated Act on Disclosure (2021/2178 EU), for thisthird year of application, non-financial companies are required to verify whether their economic activities can beconsidered aligned with the first two environmental objectives (Climate Change Mitigation and Climate Change
Adaptation) and eligible for the other four (sustainable use and protection of water and marine resources, transition to a circular economy, pollution prevention and control, and protection and restoration of biodiversity andecosystems).
The analysis conducted showed that for 2023, Datalogic has the following 6 eligible activities.
Code

Activity

Objective

Description of eligibility

6.5

Transport by motorbikes, passenger cars and light commercial
vehiclesCCM

Company car fleet

7.3

Installation, maintenance and repair of energy efficiency
equipment

CCM

Replacement work on lighting fixtures and a central air
conditioning system

1.2

Manufacture of electrical and electronic equipment

CE

Productions of devices for automatic data capture and industrial
automation

4.1

Provision of IT/OT data-driven solutions and software

CE

Software development for remote monitoring and predictive
maintenance

5.1

Repair, refurbishment and remanufacturing

CE

Datalogic offers repair service for its devices

5.2

Sale of spare parts

CE

Datalogic offers the service of selling spare parts

Referring to the previously mentioned eligible activities, the Group then carried out appropriate analyses to assess their alignment, not only in relation to climate objectives, but also (undertaken voluntarily and ahead of
regulatory requirements) to the four environmental objectives (specifically, for the circular economy objective).
The voluntary disclosure is presented in conjunction with the mandatory disclosure for 2023.

Substantial contribution
The Group checked the technical screening criteria for substantial contribution for all eligible activities. Specifically, with regard to the core business activity 1.2 CE - Manufacture of electrical and electronic equipment,
it was verified that Datalogic Group products include a design conceived for a long service life, could be repaired
under warranty, and were conducive to reuse, remanufacturing, dismantling, recyclability, and did not containhazardous substances. Additionally, the Company provides customers with all the necessary information about
the options of using, repurchasing, selling and recalling the product, and appropriately labels the product withsymbols indicating separate collection for electrical and electronic equipment. Lastly, in terms of producer responsibility, Datalogic complies with the Waste Electrical and Electronic Equipment (WEEE) regulations for the
management of waste electrical and electronic equipment in the European Union.

Datalogic Group   23

2023 Non-Financial Statement

DNSH Criteria
For each eligible activity that met the criteria for substantial contribution to at least one of the six environmental
objectives, an analysis was conducted to verify that the activity under review did not cause significant harm to theother objectives of the Taxonomy. This process involved the verification of both stringent criteria for each activity
and objective and general criteria, which were elucidated within dedicated Appendices in the Delegated Acts.

Minimum social safeguards
Datalogic is dedicated to upholding the fundamental human rights of all its stakeholders across the value chain:
within operations, throughout the supply chain, and within the communities where the company is active. Theserights are internationally recognised and enshrined in the International Bill of Human Rights, the ILO Declaration
on Fundamental Principles and Rights at Work and the Convention on the Rights of the Child. Datalogic’s commitment to human rights is illustrated in the Code of Conduct and Human Rights & Social Accountability Policy6.
Additionally, Datalogic achieved SA8000 certification, the international standard for certifying certain aspects ofcorporate management regarding corporate social responsibility such as respect for human rights, respect for
labour law, protection against child exploitation, and guarantees of safety and health in the workplace.

Datalogic has fitted itself with the “Direct Material Suppliers Search, Select and Qualification” procedure for supplier qualification; refer tothe “Responsible Supply Chain” chapter for more details.
624   Datalogic GroupEconomic KPIs
In line with the required disclosure requirements, Datalogic has calculated the economic KPIs required by theRegulations, to define the shares of revenue, investments (CapEx) and operating expense (OpEx) attributable totaxonomy eligible and aligned activities. In 2023, 97% of revenue are eligible and 96% aligned. The share ofeligible investments is 79% and the aligned share 74%, while 56% of Operating Expenditure is eligible and
53% aligned.

1%

3%

21%

Revenue5%(total 536.6 M/€)

Investments(total 26.8 M/€)

74%

96%

Eligible and Aligned

Operating Expenses

44%(total 36.8 M/€)

53%

Eligible but not Aligned
Not Eligible

3%

Datalogic Group   25

2023 Non-Financial Statement

Accounting Principles
The following is the qualitative information required by the Regulations on the construction of the economic-financial KPIs required by the Taxonomy. Specifically, it explains how the percentages of revenue, investments(CapEx) and operating expense (OpEx) related to the Group’s eligible and aligned activities and defined basedon the guidance in Annex 1 to Delegated Act 2178/2021 are established. The present data refer to the Group’s
performance for 2023, including all Companies included in the reporting scope of the Consolidated Financial
Statements.

Revenue Numerator: revenue from sales and services obtained from products or services, including intangibles, associated with taxonomy-eligible and -aligned economic activities. Excluded is a minor share of revenue related
mainly to revenue from installation of equipment at customer sites (field service) and some types of software.
 Denominator: all consolidated Group revenue (including the share of revenue considered ineligible for numerator) is provided.
Revenue is measured at fair value of the amount collected or collectable from the sale of goods or provisionof services within the scope of the Group’s core operations. Revenue (in compliance with IFRS15) is shown
net of value-added tax, returns, discounts and rebates.

Investments
 Numerator: taxonomy-eligible and -aligned investments.
 Denominator: total value of investments forming the Group’s “total investments” item. Increases in tangible
and intangible fixed assets in 2023 were included in the calculation. Regarding to IFRS 16, it should be notedthat all period capitalisation on leased assets was included.

26   Datalogic GroupOperating expense Numerator: taxonomy-eligible and -aligned operating expense.
 Denominator: operating expense related to non-capitalised direct costs associated with research and development; building renovation measures; short-term leases; maintenance and repair; only the share of personnel expense related to employees dedicated to repairs; R&D consulting; quality certification expense.
The analyses were conducted based on the interpretations of the regulations provided by the Taxonomy available to date, also taking into account where possible the clarifications officially provided by the EU Commission
regarding the practical application of the regulations, as well as the preparation of relevant disclosures. In thiscontext, consistent with evolving interpretations and regulatory requirements, the information presented in thischapter may be subject to further updates and revisions. Lastly, the disclosure required by Article 8 (6) and (7) of
EU Delegated Regulation 2021/2178 is not applicable, as the Group does not operate in nuclear energy/fossil gas
related business sectors and therefore has not identified eligible/aligned activities in these areas.

Datalogic Group   27

2023 Non-Financial Statement

Share of revenue derived from products or services associated with taxonomy-aligned economic activities
Financial year 2023

Substantial contribution criteria

Economic activities

Activity
code

Text

Absolute
Sharerevenuof(€ thousands) Revenue€%

Mitigation

Yes; No; N/EL

Adaptation

Water

Pollution

Yes; No; N/EL Yes; No; N/EL

CirculareconomyBiodiversity

Yes; No; N/EL Yes; No; N/EL Yes; No; N/EL

A. Taxonomy-eligible activities
A.1. Environmentally sustainable activities (taxonomy-aligned)
Manufacture of electrical andelectronic equipment

1.2 EC481,377

90%

N/EL

N/EL

N/EL

N/EL

Yes

N/EL

Provision of IT/OT data-driven
solutions and software

4.1 EC

10,930

2%

N/EL

N/EL

N/EL

N/EL

Yes

N/EL

Repair, Refurbishment andremanufacturing

5.1 EC

24,038

4%

N/EL

N/EL

N/EL

N/EL

Yes

N/EL

Revenue from environmentally sustainable
activities (taxonomy-aligned) (A.1)

516,346

96%

0%

0%

0%

0%

96%

0%

Of which enabling

10,930

2%

0%

0%

0%

0%

2%

0%

Of which transitional

0

0%

0%

A.2. Taxonomy-eligible but not environmentally sustainable activities (not taxonomy-aligned activities)
Transport by motorbikes, passenger
cars and light commercial vehicles

6.5 CCM

0

0%

EL

N/EL

N/EL

N/EL

N/EL

N/EL

Sale of spare parts

5.2 EC

2,773

1%

N/EL

N/EL

N/EL

N/EL

EL

N/EL

Revenue from taxonomy-eligible but notenvironmentally sustainable activities (nottaxonomy-aligned activities) (A.2)

2,773

0%

0%

0%

0%

0%

0%

0%

Revenue from taxonomy-eligible
activities (A.1+A.2)

519,119

96%

0%

0%

0%

0%

96%

0%

Revenue from not taxonomy-eligible
activities

17,498

4%

Total

536,617100%

B. Not taxonomy-eligible activities

Share of revenue/total revenue
Taxonomy-aligned by Objective

Taxonomy-eligible by Objective

CCM

0%

0%

CCA

0%

0%

WTR

0%

0%

CE

96%

97%

PPC

0%

0%

BIO

0%

0%

28   Datalogic GroupDNSH (Do No Signiﬁcant Harm) criteria
Mitigation

Adaptation

Water

Pollution

CirculareconomyBiodiversity

Minimum
safeguards

Share of taxonomyaligned or eligible
revenue, year N-1

Enabling
activity

Transition
activities

Y/N

Y/N

Y/N

Y/N

Y/N

Y/N

Y/N

%

A

T

Y

Y

Y

Y

Y

Y

Y

0%

-

-

Y

Y

Y

Y

Y

Y

Y

0%

A

-

Y

Y

Y

Y

Y

Y

Y

0%

-

-

Y

Y

Y

Y

Y

Y

Y

0%

Y

Y

Y

Y

Y

Y

Y

0%

Y

Y

Y

Y

Y

Y

Y

0%

A
T

0%

0%

0%

Datalogic Group   29

2023 Non-Financial Statement

Share of CapEx derived from products or services associated with taxonomy-aligned economic activities
Financial year 2023

Substantial contribution criteria

Economic activities

Activity
code

Text

Absolute
Share
CapEx
of CapEx(€ thousands)€%

Mitigation

Yes; No; N/EL

Adaptation

Water

Pollution

Yes; No; N/EL Yes; No; N/EL

CirculareconomyBiodiversity

Yes; No; N/EL Yes; No; N/EL Yes; No; N/EL

A. Taxonomy-eligible activities
A.1. Environmentally sustainable activities (taxonomy-aligned)
Manufacture of electrical andelectronic equipment

1.2 EC19,128

71%

N/EL

N/EL

N/EL

N/EL

Yes

N/EL

Provision of IT/OT data-driven
solutions and software

4.1 EC

593

2%

N/EL

N/EL

N/EL

N/EL

Yes

N/EL

Repair, refurbishment andremanufacturing

5.1 EC

22

0%

N/EL

N/EL

N/EL

N/EL

Yes

N/EL

19,806

19,743

74%

0%

0%

0%

74%

0%

Of which enabling

657

593

2%

0%

0%

0%

2%

0%

Of which transitional

0

0

0%

CapEx of environmentally sustainable
activities (taxonomy-aligned) (A.1)

A.2. Taxonomy-eligible but not environmentally sustainable activities (not taxonomy-aligned activities)
Transport by motorbikes, passenger
cars and light commercial vehicles

6.5 CCM

1,415

5%

EL

N/EL

N/EL

N/EL

N/EL

N/EL

Installation, maintenance and repairof energy efficiency equipment

7.3 CCM

64

0%

EL

N/EL

N/EL

N/EL

N/EL

N/EL

CapEx of taxonomy-eligible but notenvironmentally sustainable activities (nottaxonomy-aligned activities) (A.2)

1,415

5%

5%

0%

0%

0%

0%

0%

CapEx of taxonomy-eligible activities(A.1+A.2)

21,158

79%

5%

0%

0%

0%

74%

0%

CapEx of not taxonomy-eligible activities

5,624

21%

Total

26,782100%

B. Not taxonomy-eligible activities

Share of CapEx/Total CapEx
Taxonomy-aligned by Objective

Taxonomy-eligible by Objective

CCM

0%

0%

CCA

0%

0%

WTR

0%

0%

CE

74%

79%

PPC

0%

0%

BIO

0%

0%

30   Datalogic GroupDNSH (Do No Signiﬁcant Harm) criteria
Mitigation

Adaptation

Water

Pollution

CirculareconomyBiodiversity

Minimum
safeguards

Share of taxonomyaligned or eligible
CapEx, year N-1

Enabling
activity

Transition
activities

Y/N

Y/N

Y/N

Y/N

Y/N

Y/N

Y/N

%

A

T

Y

Y

Y

Y

Y

Y

Y

0%

-

-

Y

Y

Y

Y

Y

Y

Y

0%

A

-

Y

Y

Y

Y

Y

Y

Y

0%

-

-

Y

Y

Y

Y

Y

Y

Y

0%

Y

Y

Y

Y

Y

Y

Y

0%

Y

Y

Y

Y

Y

Y

Y

0%

A
T

0%
0%

0%

0%

Datalogic Group   31

2023 Non-Financial Statement

Share of OpEx derived from products or services associated with taxonomy-aligned economic activities
Financial year 2023

Substantial contribution criteria

Economic activities

Activity
code

Text

Absolute
Share
OpEx
of OpEx(€ thousands)€%

Mitigation

Adaptation

Yes; No; N/EL

Water

Pollution

Yes; No; N/EL Yes; No; N/EL

CirculareconomyBiodiversity

Yes; No; N/EL Yes; No; N/EL Yes; No; N/EL

A. Taxonomy-eligible activities
A.1. Environmentally sustainable activities (taxonomy-aligned)
Manufacture of electrical andelectronic equipment

1.2 EC

6,803

18%

N/EL

N/EL

N/EL

N/EL

Yes

N/EL

Provision of IT/OT data-driven
solutions and software

4.1 EC

1,744

5%

N/EL

N/EL

N/EL

N/EL

Yes

N/EL

Repair, refurbishment andremanufacturing

5.1 EC

10,808

29%

N/EL

N/EL

N/EL

N/EL

Yes

N/EL

OpEx from environmentally sustainable
activities (taxonomy-aligned) (A.1)

19,403

53%

0%

0%

0%

0%

53%

0%

Of which enabling

1,792

5%

0%

0%

0%

0%

5%

0%

Of which transitional

0

0%

0%

A.2. Taxonomy-eligible but not environmentally sustainable activities (not taxonomy-aligned activities)
Transport by motorbikes, passenger
cars and light commercial vehicles

6.5 CCM

1,249

3%

EL

N/EL

N/EL

N/EL

N/EL

N/EL

Installation, maintenance and repairof energy efficiency equipment

7.3 CCM

48

0%

EL

N/EL

N/EL

N/EL

N/EL

N/EL

OpEx from taxonomy-eligible but notenvironmentally sustainable activities(not taxonomy-aligned activities) (A.2)

1,249

3%

3%

0%

0%

0%

0%

0%

OpEx from taxonomy-eligible activities(A.1+A.2)

20,604

56%

3%

0%

0%

0%

53%

0%

OpEx from non-taxonomy eligible
activities

16,24344%

Total

36,847100%

B. Not taxonomy-eligible activities

Share of OpEx/ Total OpEx
Taxonomy-aligned by Objective

Taxonomy-eligible by Objective

CCM

0%

0%

CCA

0%

0%

WTR

0%

0%

CE

53%

56%

PPC

0%

0%

BIO

0%

0%

32   Datalogic GroupDNSH (Do No Signiﬁcant Harm) criteria
Mitigation

Adaptation

Water

Pollution

CirculareconomyBiodiversity

Minimum
safeguards

Share of taxonomyaligned or eligible OpEx,
year N-1

Enabling
activity

Transition
activities

Y/N

Y/N

Y/N

Y/N

Y/N

Y/N

Y/N

%

A

T

Y

Y

Y

Y

Y

Y

Y

0%

-

-

Y

Y

Y

Y

Y

Y

Y

0%

A

-

Y

Y

Y

Y

Y

Y

Y

0%

-

-

Y

Y

Y

Y

Y

Y

Y

0%

Y

Y

Y

Y

Y

Y

Y

0%

Y

Y

Y

Y

Y

Y

Y

0%

A
T

0%
0%

0%

0%

Datalogic Group   33

2023 Non-Financial Statement

Responsible businessconduct
An ethical and transparent business
On November 12, 2020, Datalogic’s Board of Directors adhered to the Corporate Governance Code, approved by
the Corporate Governance 2020 Committee and published on the website of Borsa Italiana. Guided by principles of fairness and transparency in corporate management and public information, the Code underscores theimportance of a continuous process to verify the actual implementation and effectiveness of these principles. It
identifies “sustainable success” as the objective guiding the actions of the governing body. This involves creating
long-term value for shareholders while also considering the interests of other relevant stakeholders.

Board of Directors and statutory bodies[GRI 2-9] [GRI 2-10] [GRI 2-11] [GRI 2-12] [GRI 2-13] [GRI 2-14] [GRI 2-17] [GRI 2-18] [GRI 405-1]
Datalogic’s Board of Directors (BOD) is responsible for the strategic guidance and oversight of the company’sbusiness. Specifically, the governing body reviews and approves the strategic, business, and financial plans of
Datalogic and the Group, based also on the analysis of issues relevant to long-term value generation.
The Board presides over the Group’s sustainability strategy with the goal of generating long-term value for the
benefit of stakeholders and shareholders. Additionally, the Board annually reviews and approves the materiality
analysis, which requires assessing the significance of environmental, economic, and social impacts arising fromthe conduct of business activities, separately and independently from the review and approval of the Non-Financial Statement. Moreover, the governing body sets guidelines for gradually integrating sustainability goals into
the Business Plan, and also with a view to the pursuit of sustainable success, the governing body on November
11, 2021 approved a policy for managing dialogue with the shareholders in general to promote ongoing dialogue
with shareholders and other stakeholders relevant to the Company. The Chairman and CEO of the Group havebroad management powers. The Group CEO, in line with the Code of Corporate Governance, is responsible for establishing and maintaining the internal control and risk management system by governing, among other things,
the organisation’s impacts on the environment, people and the economy.
Most recently on April 29, 2021, the Board of Directors confirmed Romano Volta as Executive Chairman of ­Datalogic
Group and Valentina Volta as Chief Executive Officer and Group Chief Executive Officer, giving both of them broad
management powers. Based on the financial calendar prepared by the Company and the Board of Directors’ resolution on delegated powers, the delegated bodies are required to provide quarterly reports to the Board of Directors on the exercise of their delegated powers.
Due to the granting of powers to the Company’s Chairman, the Board of Directors on April 29, 2021, in accordancewith the best practices of the Corporate Governance Code, appointed independent director Angelo Manaresi Lead
Independent Director, assigning him duties and responsibilities as set forth in the Corporate Governance Codeand the Board of Directors’ Regulations.

34   Datalogic GroupThe current Board of Directors was appointed by the Shareholders’ Meeting on April 29, 2021, and will remain in
office until the approval of the financial statements for 2023. Specifically, the Shareholders’ Meeting of April 29,
2022 resolved to: confirm as Independent Director Maria Grazia Filippini, co-opted by the Board of Directors on November 11,
2021, following the resignation of Director Mr. Pisa on October 29, 2021. Maria Grazia Filippini is part of thesame list as Mr. Pisa submitted at the April 29, 2021 Shareholders’ Meeting by a grouping of minority shareholders; expand the number of members of the Board of Directors from 7 to 8 in order to improve its operation byenabling it to act more effectively in the ultimate interest of shareholders; appoint Pietro Todescato as a director until the approval of the financial statements at December 31, 2023 by
the Shareholders’ Meeting.
At December 31, 2023, the Board of Directors consists of 8 members, including the Chairman, the CEO, and 6
non-executive directors, 4 of whom are independent.
Composition of the Board of Directors
Name

Role

Independence

Term

GenderRomano Volta

Chairman

Executive (No)2021-2023

M

Valentina Volta

Chief Executive Officer

Executive (No)2021-2023

F

Angelo Manaresi

Independent Director

Non-Executive (Yes)2021-2023

M

Chiara Giovannucci Orlandi

Independent Director

Non-Executive (Yes)2021-2023

F

Filippo Maria Volta

Director

Non-Executive (No)2021-2023

M

Vera Negri Zamagni

Independent Director

Non-Executive (Yes)2021-2023

F

Maria Grazia Filippini

Independent Director

Non-Executive (Yes)2021-2023

F

Pietro Todescato7

Director

Non-Executive (No)2022-2023

M

Diversity in governance bodies
Information

2023

2022

2021

By gender

Men

Women

Total

Men

Women

Total

Men

Women

Total

Members of governance bodies

50%

50%

100%

50%

50%

100%

43%

57%

100%

By age group< 30

30 - 50

> 50

< 30

30 - 50

> 50

< 30

30 - 50> 50

Members of governance bodies

0%

25%

75%

0%

25%

75%

0%

29%

71%

On July 1, 2023, Mr. Todescato resigned from the executive positions he held within the Group due to age limits while retaining the position of Director.
7

Datalogic Group   35

2023 Non-Financial Statement

All board members boast years of experience in the field of automatic data capture and industrial automation.
The Group ensures that Directors receive appropriate training to enhance their knowledge of the industry in which
the Company operates.
As part of the Board’s self-assessment process conducted in application of the Corporate Governance Code­Recommendations, the Board of Directors at its meeting on February 13, 2024, assessed the Board members’ skills
in sustainability issues as more than good, also with regard to the size of the Board and the Company’s business.
In compliance with the Corporate Governance Code, the Company ensures diversity in the composition of the governing body. Indeed, since 2018, the Board of Directors has adopted a diversity policy on the composition of thegoverning, management, and supervisory bodies with regard to aspects such as age, gender composition, andeducational and professional background. The Board of Directors adopted this policy after conducting an analysis
on the composition of the Company’s internal bodies in order to review their consistency with the regulatory,
statutory and own requirements of the Corporate Governance Code, including compliance with the requirements
of integrity, professionalism, technical expertise and independence of its members, as well as diversity profiles,
in terms of gender, age and professional background.
Moreover, the Company, thanks to the Human Rights & Social Accountability Policy, applies diversity and inclusion criteria for the composition of corporate bodies.
In carrying out its duties, the Board of Directors, in accordance with the best practices of the Corporate Governance Code, is supported by the “Control, Risks, Remuneration and Appointments Committee”, also referred toas the “Single Committee”, with powers in the areas of appointments, remuneration, control and risks.
The Single Committee also has the task of supporting, through adequate preliminary activity, the Board’s assessments and decisions regarding the adequacy of the internal control and risk management system and thedefinition of its guidelines. The Committee also evaluates the adequacy of non-financial information to accurately
represent the Company’s business model, strategies, the impact of its activities, and the performance achieved.
This assessment includes an analysis of factors pertinent to long-term value generation. Additionally, the Committee reviews the content of the non-financial statement related to the internal control and risk management
system. With regard to the 2023 NFS, the Committee on February 1, 2024 reviewed and approved the materiality
analysis and proposed its approval by the Board of Directors. Subsequently, the Board approved the materiality
analysis on 13 February 2024.
Additionally, the Committee is responsible for supporting the Board of Directors in the development of the remuneration policy and periodically assessing its overall consistency and the tangible application adopted by the Group.
Control, Risks, Remuneration and Appointments Committee
Name

Role

GenderAngelo Manaresi

ChairmanM

Chiara Giovannucci Orlandi

Independent Director

F

Vera Negri Zamagni

Independent Director

F36   Datalogic GroupThe Board of Statutory Auditors is responsible for supervising compliance with the law and the bylaws, theadequacy of the administrative and accounting organisation, and the proper administration of the Company. The
Board coincides with the Internal Control and Audit Committee (CCIRC), which oversees the financial reportingand statutory audit process.
Board of Statutory Auditors
Name

Role

GenderDiana Rizzo

Chair

F

Elena Lancellotti

Standing Auditor

F

Roberto SantagostinoStanding Auditor

M

Giulia De Martino

Alternate AuditorF

Eugenio Burani

Alternate Auditor

M

Patrizia Cornale

Alternate Auditor

F

SHAREHOLDERSINDEPENDENT AUDITORSBOARD OF STATUTORY AUDITORSBOARD OF DIRECTORS

Director in charge of the internal
Control and Risk Management System

Head of Internal Audit

Control, Risk, Remuneration
and Appointment Committee

CHIEF EXECUTIVE OFFICER

Supervisory Body ex D.Lgs. 231/01

Manager responsible for preparing theCompany’s ﬁnancial reports

Datalogic Group   37

2023 Non-Financial Statement

Remuneration Policy[2-19] [2-20] [2-21]
Each year, the remuneration strategy and related policy are submitted to the Single Committee and the Board of
Statutory Auditors, and then approved by the Board of Directors and the Shareholders’ Meeting. The document
includes the remuneration of the top senior executives and the overall Company Rewards strategy that is published on the Group’s website.
https://www.datalogic.com/eng/company/corporate-governance/remuneration-irp-11547.html
In the three-year (2022-2024) “Performance Shares 2022-2024” plan, among the indicators is the percentage offemale employees in management and clerical roles (“White Collars”) at end 2024. The ratio of the annual total payof the individual receiving the highest pay to the median annual total pay of all employees (excluding the above
person) is 36.3 times8. The annual total pay of the highest paid individual showed no change in 2023 versus 20229.

Organisational management and control model[GRI 2-16] [GRI 2-26] [GRI 205-2] [GRI 205-3]
To prevent the risk of unlawful behaviour or crimes by its employees and to promote the adoption of virtuous
behaviour, Datalogic has adopted, for its Italian subsidiaries, the Organisational, Management and Control
Model pursuant to Legislative Decree. 231/2001 (OMCM). The Model includes a specific assessment of risks
associated with potential crimes, as well as the presence of internal controls to oversee and guard against suchrisks. Dissemination and awareness of the Model is promoted among all recipients - the Board, committees,
employees and associates who are required to cooperate to ensure its effective implementation and immediately
report any violations.
Datalogic S.p.A. and its Italian subsidiaries implement mandatory training programs to ensure that employees
acquire knowledge of the Decree and the Model, including through the administration of evaluation questionnaires.
The adoption of the Model requires each company to establish a Supervisory Board (SB) responsible for monitoring the effectiveness of and compliance with the principles and rules contained within the OMCM.
To enable employees to communicate any reports anonymously, Datalogic has established a “whistleblowing”
channel. Applicable globally for all Group companies, this system enables anonymous reporting through various
channels, including voicemail, meetings with designated officials or through a dedicated platform on Datalogic’s
website. The Group is committed to protecting whistleblowers from possible retaliation and ensuring their confidentiality by concurrently providing those involved with the necessary elements during investigations, in compliancewith legal requirements. The processing of information and personal data complies with applicable data protection
laws, with detailed privacy notices available on Datalogic’s website for all parties involved in the reporting process.

The median value (as in 2022) does not consider the pays of Suzhou Mobydata Smart System Co. Ltd.
For the purpose of calculating indicator 2-21, target values, i.e., 100% of the achievable bonus, were considered for the variable part ofremuneration. The three-year equity portion (long term incentive) was not included for either the highest paid individual (CEO) or the otherbeneficiaries of the above incentive plan, as it cannot be determined a priori in terms of result and share value.
8938   Datalogic GroupThe Board of Directors of Datalogic S.p.A., in order to ensure the proper management of corporate information,at the proposal of the Chairman of the Board in agreement with the Group CEO, has adopted a procedure for theinternal management and external communication of documents and information concerning Datalogic, withparticular regard to insider information, in order to ensure the full and timely information parity of shareholders
and stakeholders in general. In application of this procedure, in the reporting period there were no market communications on critical concerns reviewed by the Board of Directors.

Code of Ethics[GRI 205-3] [GRI 206-1]
The Group’s Code of Ethics outlines and describes the guiding principles that Subsidiaries follow in conducting their activities and managing their relationships with parties acting on their behalf. The Code establishes
ethical principles and rules of conduct, aiming to recommend, promote or prohibit certain behaviours in accordance with applicable laws and regulations.
The Code applies to members of corporate bodies, directors, employees, associates, external consultants andsuppliers. Datalogic is committed to disseminating the Code, ensuring that it is kept up-to-date, providing training support, ensuring non-retaliation for reports of violations, and monitoring compliance with the principles.
The Group is committed to making the Code available to all recipients, conducting periodic reviews and ensuring
its effectiveness for Group companies as well. Collaboration and constructive contributions from employees andthird parties are encouraged and welcomed.
In 2023, risk analysis related to corruption incidents was again carried out on 100% of Datalogic’s organisational
processes; there were no confirmed incidents of corruption, nor were there any pending or concluded legal actions regarding anti-competitive behaviour and violations of antitrust and monopolistic practice regulations inwhich the organisation was identified as a participant.

Risk assessment and management[GRI 2-15] [GRI 2-25]
In conducting its business, Datalogic is exposed to several types of risk, including environmental, financial, operational, and competitive-regulatory risks.
Operational risks are identified and periodically reassessed by Group management, supported by the Single Committee and through the various Management Systems adopted. The Report on Operations provides an assessment of the Group’s exposure to various types of risks, including financial and other risks that may affect theoperating and financial situation.
Additionally, Datalogic implements measures to manage and mitigate conflicts of interest, through: the obligation of Directors to inform the other Directors and the Board of Statutory Auditors (on theirown behalf or on behalf of third parties) of any interest they may have in certain transactions of the Company, and the obligation of Directors with delegated powers to refrain from carrying out transactions in
the presence of interests by investing the Board of Directors as a collegial body at the decision-making
level;

Datalogic Group   39

2023 Non-Financial Statement

 the obligation of the Statutory Auditors under the Corporate Governance Code to inform the Board of any
interest in certain transactions of the Company;
 the adoption of a procedure for the management of related-party transactions, the establishment within the
Board of Directors of a committee for related-party transactions composed entirely of independent directors
as well as the issuance of a periodic disclosure in aggregate form in the Company’s financial report on related-party transactions conducted during the year; a report (provided for in the bylaws) to the Board of Statutory Auditors by the Board of Directors or the directors, on the activities carried out and on the transactions having a significant impact on the balance sheet,income statement and cash flows carried out by the Company or the companies belonging to the Group, withparticular regard to the transactions in which they have an interest, on their own behalf or on behalf of third
parties; the code of conduct, which dictates that directors, employees, associates and/or consultants in various
capacities of the Company and Group companies must avoid any situation and refrain from any activity that
may conflict with personal interests, whether direct or indirect, with those of the Company. This includes
activities that may interfere with the ability to make impartial and objective decisions in the interest of theCompany.
The Group identifies current and potential risks of a non-financial nature, with regard to those aspects considered
to be of greatest significance, including in the context of materiality analysis for non-financial reporting purposes. These risks, which are included in internal analyses and assessments, include aspects related to personnel
management, human rights and combating corruption.

Scope of risk

Main risks

Aspects regarding
corruption

Risks related to corruption and bribery Regarding the management of risks detected in the area of bribery and corruption, thewere analysed as part of a risk as- company has defined and adopted the Group Code of Conduct, which stipulates:
sessment activity involving Datalogic  the ethical principles and behaviours to be followed by the recipients;
Group management. The analysis  the adoption of Group procedures to cover most business processes exposed to risk;
considered the entirety of business  the development and implementation of a proxy and power of attorney system, witha view to the Segregation of Duty;
processes, including: sales and purchasing, public financing and bidding,  the control system related to the Model under Legislative Decree 231/2001 to all
Group companies;
personnel recruitment, and system the internal control system related to Legislative Decree 262/2005;
and product certification processes.
 the development and adoption of appropriate Information Technology Tools to support all Group companies.

Aspects regarding
worker protection andhuman rights

The main risks identified concerning  At the Group level, risk management concerning staff and human rights begins with
the Welcome On Board stage.
the Group's personnel and humanrights involve the lack of involvement  On this occasion, the Datalogic Code of Conduct and procedures are shared with all
new employees.
of qualified personnel during selection and management, risks associat-  Among the relevant policies on social issues, the “Human Rights and Social Accountability” policy holds a special place, accompanied by a series of HR manageed with worker health and safety, andment tools, including Performance Review, training programs, corporate welfare
non-compliance with human rights
system, and ongoing employee listening activities.
and gender diversity standards.
 In the area of health and safety, there are specific procedures in accordance with thevarious ISO45001 certifications in place for several Group companies.
 System controls related to the Model under Legislative Decree 231/2001 are partly
extended to other Group companies.
 Datalogic S.p.A. obtained SA8000 certification at end 2022.

40   Datalogic Group

Main management procedures

Scope of risk

Main risks

Main management procedures

Environmental aspects

The analysis of Datalogic’s production In order to mitigate risks related to environmental aspects, Datalogic has:processes revealed the most signifi-  distributed to all group employees, and made available on the Datalogic website, for
all internal and external stakeholders, the Environmental, Health & Safety Policy.10
cant risks to be: failure to comply with environ-  maintained ISO14001 certification in all plants where a Management System andmental regulations.
certification is in place.
 risk related to climate change.
 extended ISO14001 certification to the Italian site at Castiglione Messer Raimondo(Datalogic Srl) in 2022.
 included climate change risk within the corporate risk assessment model under
Health Emergency and Disaster, assigning it the lowest value of the metrics related to
the likelihood of occurrence. This assessment is updated periodically and is groundedin the type of activities carried out (basically components assembly) at the Group’s
factories, as well as in the maturity of the Environmental Management Systems implemented at all major manufacturing sites (Italy, Vietnam, Slovakia and Hungary).
Mention should also be made that to date, the Group’s manufacturing sites have never been
affected or damaged by natural phenomena attributable to ongoing climate change. While theGroup currently perceives a relatively low risk profile in relation to climate change, Datalogic
endeavours to operate in alignment with the principles of Carbon Neutrality, striving to achievea balance between carbon emissions and absorption whenever feasible. Datalogic has also
taken measures to reduce greenhouse gas emissions from its operations, for example, byimplementing energy efficiency measures in the buildings it uses and entering into agreements
to procure energy from renewable sources. The gradual shift towards a low-carbon economy
will not, in the Directors’ view, have a material impact on the business, and the technologicalchange that may ensue is not currently expected to have a significant effect on the core market.

Aspects related toinnovation, data and information security, andInformation Technology
Business Continuity

The most significant risk concerning In order to minimise the risk associated with the inability to generate innovative products
innovation is the inability to generate and solutions and patent infringement, Datalogic has:and implement innovative products  addressed the issue in its Quality Policy and has developed, and operationalised, a numand solutions, compounded by theber of procedures (such as New Product Development, Product Certification and Patentrisk of patent infringement.
Marking); developed processes that help create value through ongoing engagement with its customers (such as Voice of Customer).

Aspects related toinnovation, data and information security, andInformation Technology
Business Continuity

The primary risk is the breach of cor- Confidentiality, integrity and availability of data are the principles to guarantee which
porate information systems, which ­Datalogic has opted to define, implement and certify an Information Security Management
manage customer, supplier, and em- System in accordance with the ISO27001 standard concerning Datalogic S.p.A., Datalogic
Srl, Datalogic USA Inc and Datalogic Vietnam LLC. In addition to this Management Systemployee data, through cyberattacks.
(comprising the Information Security Policy and various operational procedures), the riskof breaches to corporate information systems is mitigated by:
 Group Code of Conduct; ongoing IVS (Internal Vulnerability Scan) and EVS (External Vulnerability Scan) activities for early identification of new vulnerabilities;
 adoption of continuous monitoring of the entire infrastructure (SOC); Cybersecurity Committee and the “Security Access Agreement” in Vietnam, Italy andthe United States. Datalogic also periodically provides training to employees on cybersecurity and GDPR issues.

Aspects related to
strategic supply chain
management alignedwith sustainability
principles

The main risks identified along the In managing risks attributable to the supply chain, Datalogic has developed several topics
Group’s supply chain are related to related to the environment and social responsibility within the following documents:
suppliers’ violation of environmental,  Group Code of Conduct;social and human rights regulations.  Group Policy and Procedures related to supplier management (especially for directmaterial suppliers) and General Purchasing Conditions; Framework contractual agreements signed with major suppliers.

Aspects related tocustomer relations

The main risk in this area appears to To mitigate the risks listed herein, Datalogic:
be the lack of regulatory compliance,  ensures that all tests required by European directives and regulations of the countries where Datalogic markets its products are performed to ensure compliance andsafety and quality of products andservices offered to customers.
safety for the user and the installation environment; implements high internal product-related quality standards by investing in additional
voluntary certifications and marks for greater assurance on safety (e.g., UL, CSA,etc.). The third party ensures, through its own audits, compliance with security issues without conflicts of interest.

10

https://www.datalogic.com/eng/company/company-overview/iso-sa-management-systems-co-153.html
Datalogic Group   41

2023 Non-Financial Statement

Certified Management Systems
Datalogic is committed every day to providing outstanding products and services while respecting the environment and ensuring the safety of workers and the protection of information. These values are the cornerstonesof the Group’s corporate policy and are constantly monitored, integrated into a systematic process aimed atcontinuous improvement.
The Group has obtained several certifications for quality, information security, environmental management,
health and safety, and social responsibility.
Certification

Description

Companies included

ISO 9001

Identifies regulations and guidelines that define the requirements for a quality management system in an organisation

Datalogic Slovakia S.r.o., Datalogic S.p.A., Datalogic S.r.l.,
Datalogic S.r.l., Datalogic USA Inc., Datalogic Vietnam LLC

ISO 27001

Identifies the requirements for setting up and operating an
information security management system

Datalogic S.p.A., Datalogic S.r.l., Datalogic USA Inc.
e Datalogic Vietnam LLC

ISO 14001

Specifies the requirements of an environmental management
system applicable to the organisation

Datalogic Slovakia S.r.o., Datalogic S.p.A., Datalogic S.r.l.,
Datalogic Vietnam LLC

ISO 45001

Establishes formal procedures for managing worker health and Datalogic Slovakia S.r.o., Datalogic S.p.A., Datalogic S.r.l,
safetyDatalogic Vietnam LLC

SA 8000

Certifies certain aspects of corporate management relevant tocorporate social responsibility: respect for human rights andcompliance with labour law

Datalogic Group, Datalogic IP TECH S.r.l., Datalogic S.p.A.,
Datalogic S.r.l.

Fair tax practices[GRI 2-27] [GRI 207-1] [GRI 207-2] [GRI 207-3] [GRI 207-4]
Datalogic has adopted a tax approach based on the balance between business activities and ethical, social andsustainable development values, in accordance with current regulations. The Group acts according to the principle of “Corporate Responsibility”, promoting honesty and integrity in tax management in all countries where it
operates. The main objectives of the Group’s tax approach are: to contribute to public finances in accordance withregulations, to develop a positive corporate reputation with tax authorities, and to balance the efficiency of tax
management to reduce the risks of tax litigation. The Group Tax Department, with a corporate area and several
regional areas, is committed to tax compliance, ensuring compliance with reporting and communication obligations with tax authorities. Datalogic uses tools such as the Code of Conduct, policies related to the Patent Box andTransfer Pricing, as well as organisational methods to manage tax activities and monitor related risk. Evaluationof the effectiveness of tax management takes place through internal information flows and external bodies suchas the Boards of Statutory Auditors and the Supervisory Board.
In 2023 too, there were no cases of non-compliance with laws and regulations globally during the reporting period.

42   Datalogic GroupCountries

Company Name

Activity

Employees

Revenuevs. third
parties

Revenuevs.
Group11

Profit/(Loss)
beforetax12

Tangible
AssetsTax
paid13

Accrued
Tax14

Italy

Datalogic S.p.A./S.r.l./IP Tech S.r.l/Datasensing
S.r.l.

Holding/Investment
Company/Sub Holding/
Manufacturer

1,035

244,484

221,145(21,470)

33,800(2,007)

5,659

VietnamDatalogic Vietnam LLC

Manufacturer

527

3,643

128,110

4,178

13,026

(359)

(331)

USA

Datalogic USA Inc. / Informatics Holdings, Inc.

Sub Holding/ Manufacturer/Distributor

457

165,715

3,735

17,902

21,961(1,139)(5,543)

Hungary

Datalogic Hungary Kft

Manufacturer

241

554

36,769

2,091

7,144

(265)

(280)

Slovakia

Datalogic Slovakia S.r.o.

Manufacturer

204

1,892

74,890

2,696

3,012

(978)

(471)

China

Datalogic Shenzhen /M.D. Micro Detectors(Tianjin) CO, LTD/ Suzhou Mobydata

Sales Distributor

161

31,749

3,715

346

699

(222)

(139)

Germany

Datalogic Scanning Eastern Europe GmbH/
Niederlassung Central Europe / Datasensing
S.r.l. Niederlassung Deutschland

Sales Distributor

60

25,873

9

1,941

8,185

465

420

Spain

Datalogic Espana/Datasensing Ibérica, S.A.U.

Sales Distributor

39

11,531

0

494

172

(143)

(114)

FranceDatalogic France/ Datalogic Real Estate France/
Datasensing S.r.l. succursale en France

Sales Distributor/Real
Estate

29

8,744

0

1,025

2,076

(391)

(333)

Holland

Datalogic S.r.l. Benelux

Sales Distributor

20

6,222

0

595

26

(52)

(68)

Czech Rep.

PEKAT S.r.o.

Services

21

425

33

(1,023)600UnitedKingdom

DL UK/Datalogic Real Estate UK/ WASPBARCODE

Distributor/real estate

22

5,451

0

994

3,694

0

(165)

BrazilDatalogic do Brasil Ltda

Sales Distributor

16

34

0

260

23

0

(102)

Japan

Datalogic Japan Co., Ltd.

Sales Distributor

11

5,698

0

139

101

(88)

(114)

Australia

Datalogic Australia Pty Ltd.

Sales Distributor

16

5,671

4

168

52

(466)

(34)

Sub Holding/Sales Distributor

Singapore

Datalogic Singapore Asia Pacific Pte Ltd.

10

18,034

0

776

10

(163)

(153)

MexicoDatalogic Technologias de Mexico S. de R.L. de C.V. Sales Distributor

10

0

0

49

3

(63)

(59)

Korea

Datalogic Singapore Asia Pacific Pte Ltd (Korea
Branch)Sales Distributor

10

0

0

29

21

(12)

(1)

SwedenDatalogic S.r.l. Sweden

Sales Distributor

6

899

0

152

8

(172)

(61)

TurkeyDatalogic S.r.l. Turkey

Services

5

0

0

(41)

6

0

(9)

PolandDatalogic S.r.l. Poland

Services

5

0

0

19

14

0

(2)

South Africa

Datalogic S.r.l. South Africa

Sales Distributor

3

0

0

90

1

0

(27)

Romania

Datalogic S.r.l. Romania

Services

2

0

0

8

0

0

(4)

2,910 536,617 468,410

11,41994,040 (6,052)(1,933)

Total

Regarding the difference between the corporate income tax accrued on profit/loss, the tax due, and the statutory
tax rate applied on pre-tax profit/loss, refer to the details in the Group’s Consolidated Annual Financial Report.

The value of revenue for each jurisdiction does not include the value of Intercompany transactions carried out between entities in the same jurisdiction.
The value of pre-tax profit/loss represents the value derived from the separate financial statements prepared by individual entities andincludes consolidation adjustments.
13
Transactions in the tax paid column are exclusively cash outflows for income tax payments by individual entities.
14
The value of tax set aside represents the value of income tax derived from the separate financial statements prepared by individual
entities and includes tax amounts related to consolidation adjustments.
11

12

Datalogic Group   43

2023 Non-Financial Statement44   Datalogic GroupMateriality analysis[GRI 2-29] [GRI 3-1] [GRI 3-2]

The materiality analysis enables the identification of the most significant issues for an organisation in its interactions with the environment, the economy, and people. Conducting such an analysis enables a comprehensive
assessment of the sustainability context in which the Company operates and the interests of stakeholders potentially affected by business activities.
In 2023, Datalogic updated its material topics, based on the identification and assessment of impacts (positive and negative, current and potential), both of its activities and along the value chain, on the environment,
economy and people in the contexts in which the Group operates. The analysis was conducted in line with therequirements of GRI Standard 2021, which takes into account the impacts generated on the external environment
by Datalogic.
The result of this analysis, conducted by the Company, led to the definition of a shortlist of 17 topics, potentiallyrelevant according to Datalogic’s priorities. In line with the GRI Standards, this list of potentially material impacts
and issues was shared with key stakeholders to test its completeness and relevance. This process enabled theGroup to identify the 10 material topics deemed to be of greatest significance, associated with their impacts. The
materiality analysis thus defined was approved first by the Single Committee and then by the Board of Directors,
with the favourable opinion of the Committee and after hearing the Board of Statutory Auditors, on February 13,
2024.

The views of external and internal stakeholders
Datalogic has adopted an approach that involves both external and internal stakeholders in order to ensure
a comprehensive and balanced view. In terms of external involvement, interviews were conducted with 6 key
stakeholders, including customers, banking institutions/investors, and business partners who not only made ashort list but also made substantial and qualitative contributions to the analysis, for example, ensuring that all
major topics for Datalogic were considered. Concurrently, Datalogic sent out 21 questionnaires to other stakeholders to gather their views on the Company’s level of commitment to sustainability. The Sustainability Executive Committee compiled the list of key stakeholders for the Datalogic Group, to whom interviews or questionnaires would be conducted or sent.
Internally, the Company assessed the relevance of material topics and their impacts through 30 questionnaires toa selection of employees. This group, again chosen by the Sustainability Executive Committee, helped establish
the internal priority order, thus providing their input into corporate decision-making to promote sustainability.
The result was a ranking according to 3 clusters: customers, banking institutions/others, and employees, summarised and submitted to the CEO for appropriate considerations and subsequent validation. It turned out that allclusters basically agreed upon the Datalogic priority.

Datalogic Group   45

2023 Non-Financial Statement

The 10 material topics, below, were approved by the Board of Directors.

The key topics
Impact in the value chain
N.

Material
topics

Impacts

Type

Status

Upstream Datalogic Downstream

Type of involvement in thegeneration of the impacts

1°

Research,development
andinnovation

Technological innovation in linewith the developments in the green Positive
economyPotentialx2°

Product
quality andsafetyHealth and safety hazards inherent
in Datalogic products

Negative

Potentialx

Failure to respect Human Rights
and social compliance along the
supply chain

Negative

Violation of environmental
regulations by suppliers

Negative

Potential

Presence of corruption incidents inall countries where the organisation Negative
operates

Potentialx

Through its activities

Non-compliance related to local tax
and business regulations and lack
Negativeof fair competitive practices in all
countries where the organisation
operates

Potentialx

Through its activities

Violation of Human Rights of all
Datalogic Employees

Negative

Potentialx

Through its activities

Creating value for shareholders andPositivestakeholders

Currentx

Through its activities

Lack in Datalogic's productofferings

Negative

Potentialx

Through its activities

Implementation of strategies tomonitor and increase customer
satisfaction

Positive

Currentx

Potentialx

Through its activities

Currentx

Through its activities

Negative

Currentx

Through its activities

Positive

Currentx

Through its activities

3°

4°

5°

6°

Responsible
supply chain

Responsible
business
conduct

Customer
centricity

Use of non-recyclable materials andharmful substances in production
Negative
Sustainability processesof materials
Use of recycled materials for
Positivepackaging construction
Health and safety issues related tointernal working conditions

7°

Worker healthand safety
Raising awareness of health andsafety among workers and the
younger generation

46   Datalogic Group

Potential

Through its activitiesx

Through its activities
and to which it contributesx

As a result of its business
relationsx

As a result of its business
relationsx

Through its activities and as aresult of its business relations

Impact in the value chain
N.

8°

9°

Material
topicsEnergy andemissions

Peoplewell-being

Waste and10°
packagingType of involvement in thegeneration of the impacts

Impacts

Type

Status

Upstream Datalogic Downstream

Corporate energy consumption

Negative

Currentx

Through its activities

Direct (Scope 1) and indirect (Scope2) GHG emissions generated by
Negativebusiness operations

Currentx

x

Through its activities and as aresult of its business relations

Indirect emissions (Scope 3) fromthe value chain

Negative

CurrentxxCreating a peaceful and positive
work climate for employees andassociates

Positive

Currentx

Through its activities

Generation of waste fromproduction processes (possibly
including hazardous materials)

Negative

Currentx

Through its activities

Disposal of end-of-life products

Positive

Currentx

x

x

Through its activities, as aresult of its business dealings
and to which it contributes

Through its activities and towhich it contributes

The updated materiality analysis re-evaluated the importance of material topics, focusing on prioritising themost significant impacts generated by the Company.
In order to focus resources and avoid scattering efforts, governance topics (Anti-corruption, Fair Tax Practices,
Data and Information Security, Fair Competitive Practices, Economic & Financial Value creation and Growth Strategy) were integrated into Responsible Business Conduct.
Additionally, the topics “Energy Management” and “GHG Emissions” were merged into the topic “Energy and Emissions”; the topics “Waste Management” and “Management of Impacts related to Product Lifecycle” were includedin the topic “Waste and Packaging”; and the topics “Welfare/Well-being”, “Employee Training and Development”,
and “Equal Opportunities & Diversity” were included in the topic “People Well-Being”.
Lastly, for the reporting year 2023, downstream of the Stakeholder Engagement activity, the new material topic“Sustainability of Materials” was introduced.

Datalogic Group   47

2023 Non-Financial Statement

Product and Supply Chain
Research, Development and Innovation
Innovation is a core part of Datalogic’s corporate history and serves as a pivotal driver in addressing customer needs. This commitment translates into advanced technologies that optimise tracking and capture
processes, ensuring efficiency, security and sustainability to best meet customer needs. It also represents adriver for the adoption of green economy principles, integrating eco-design solutions and product life cycle
optimisation.
With 11 global research and development centres and more than 1,200 patents, Datalogic aims to simplify
and optimise automatic capture and tracking processes using cutting-edge opto-mechatronic technologies,
developing advanced artificial intelligence algorithms for edge computing platforms to ensure efficiency, speed,
security, reliability and sustainability.
Research laboratories, known as “Datalogic Labs”, drive the Company’s innovation, renewing core technologies.
In these labs, pivotal components of forthcoming products are conceptualised, such as Edge Computing platforms, connectivity modules, Engine SW based on traditional Computer Vision and Artificial Intelligence, as wellas capabilities for cloud-based product management and supervision,.
The Vitality Index (i.e., sales revenue from new products launched in the past 24 months as a percentage of total
revenue) stands at 7.4%.
Total cash costs (R&D Cash-Out) for R&D amounted to €66.7 million, accounting for 12.4% of revenue.

A portfolio of about 1,200 patents andpatent applications

48   Datalogic Group

450+ Engineers in 11 R&D centers and
3 DL Labs in Italy, USA, Vietnam, and China

Eco-design of new products
Eco-design processes are established internationally according to ISO 14006:2011, which provides guidelines for
implementing environmental management systems. Processes are considered to meet the standard when theymeet six steps:
 specification of product functions
 environmental assessment
 improvement strategies
 environmental objectives
 product specifications
 technical solutions
To ensure dependable eco-design, adopting product life cycle assessment (LCA) is essential for quantifying theenvironmental impact.
Datalogic has initiated LCA screening on a number of existing products, such as the Gryphon 4500 scanner. The
analysis focused on data such as component weight, types of materials, final distribution destinations, energy
consumption during use, emissions from energy production, and raw materials, as well as considering end-oflife scenarios such as collection and recycling.
Initial results on the Gryphon 4500 scanner showed that the product’s environmental impact focuses on twoareas:
1. Use phase: electricity consumption was found to be the main cause of impact. Specifically, it was found thatthe standby mode is highly significant.
2. Production phase: electronic components were found to be the main source of impact, followed by plastics,
cables and/or battery cells.
The insights that emerged are guiding the development of future product generations to improve the Eco Designof new models. This approach aims to identify and analyse eco-design options at the business model level, integrating additional environmental solutions. The LCA analysis on the new generation will highlight the improvements introduced by the development process.

Datalogic product lifecycle optimisation
For a company such as Datalogic, embracing the circular economy is crucial to optimising resource utilisation,
minimising waste, and advancing environmental sustainability while fostering an efficient and responsible production cycle.
At end 2023, Datalogic initiated analysis activities in each Business Unit and in the Operations department to
identify business processes and products for enhancing the adoption of circular economy solutions. The analyses
aim to define the strategy and initiate a pilot program on the identified lines of solution to develop products thatare increasingly easy to repair and refurbish.
When a customer returns a product, it undergoes a health check. If the device passes the health test, it undergoes a refurbishing process to restore it to an optimal state. Options from refurbishing include selling to new

Datalogic Group   49

2023 Non-Financial Statement

customers, making the refurbished product available in the market, or assigning it to an exchange pool andsending it to the repair centre for further improvement.
On the other hand, if the product is found to be unsuitable for refurbishing, its working components are extracted
for reuse through a recovery process. The recovered components are then sent to the repair centre for use in
future processes. The non-recoverable part of the device is handled responsibly, with a distinction between electronic waste (WEEE) and non-WEEE, ensuring proper disposal of the residue.

50   Datalogic GroupDatalogic Group’s new products in 2023
The Magellan 9600i and 9900i scanners are a unique solution to make self-checkout lanes unmanned, addressing problems such as operational errors and theft. The Magellan 9600i and 9900i, boasting an innovative design,advanced ergonomics, and exceptional scanning performance (improving reading speed by 50% over 2D barcode
products), also integrate AI capabilities aimed at improving the checkout process and preventing loss.
The QuickScan 2200 series is a 1D entry-level, corded barcode reader with optimal scanning performance. Ideal
for retail point-of-sale checkouts, it excels at reading linear barcodes. It can also handle long barcodes found in
utility bills, document processing, and packaging, overcoming the challenges posed by full-area imagers. Ergonomic and lightweight, it simplifies user tasks with its “laser-like” pointer and the “green-spot” that confirms inreal time when the code is read correctly.
The Memor™ 11 family of mobile computers offers unprecedented flexibility for a variety of applications. With achoice of Wi-Fi-only or Wi-Fi/Cellular models, this enterprise-ready device offers high scanning performance andefficiency. Thanks to the unique wireless charging, the device is always ready to use; additionally, the SafeSwap
battery enables smart battery management by extending the battery life by up to 20% and slowing down thewear and tear process of the device. The 5-inch touch display, 2.3 GHz Octa-Core processor, and industrial-grade
barcode scanner enhance user experience and reading performance. Certified as an Android™ Enterprise Recommended device, the Memor 11 family prioritises security and privacy.

Magellan 9600i

QuickScan 2200

Memor 11 mobile computer

Datalogic Group   51

2023 Non-Financial Statement

The stationary series Gryphon 4500 is a versatile scanning device designed for self-service applications in retail,manufacturing, healthcare and transportation. Available in two versions, GFS4500 and GFE4500, it features arugged design for outdoor use, a Megapixel sensor for efficient barcode scanning (1D, 2D and smartphone display), and connectivity options that include USB and RS-232.
PowerScan 9600 Auto Range is a handheld scanner designed for retail, manufacturing and transportation, offering efficient barcode reading up to 20 metres. With its robust design, wireless charging, and multiple communication options, it is a cost-effective solution for business needs. The series also includes PowerScan™ 9600
DPX, an industrial scanner for reading codes obtained from direct part marking (DPM) in critical industries suchas automotive, electronics and healthcare. With DPX 4D self-learning technology, weather resistance and long
battery life, the PowerScan DPX series promises greater efficiency, reduced downtime and cost of ownership,
making it ideal for industries such as automotive, electronics, healthcare and tires.
The Blade series, including Blade 100 and Blade 200, is a compact 1D barcode reader designed for easy integration and low maintenance in logistics and distribution centres. It replaces the DS2X00 series, offering both
greater reliability and longer life due to imager technology that eliminates any moving parts. Blade improves
productivity by reading damaged or low-quality labels while maintaining a compact shape. The series stands out
for its ease of use, solid-state design, and cost-effectiveness.

Gryphon 4500

52   Datalogic GroupPowerScan 9600 DPX

Blade series barcode readersP3x Smart cameras offer higher performance with 5MP resolution models, twice the speed of the previous series, and full compatibility with accessories and support for the latest IMPACT 13.3.0 software release.
The S3N line includes miniature photoelectric sensors that offer state-of-the-art detection functions, solid mechanics, and cutting-edge parameterisation options such as Teach-in button and intelligent IO-Link. Featuring
state-of-the-art mechanical features and superior optical performance, the S3N sensor is the perfect solution
for a variety of industrial applications, from automotive to food and beverage packaging; in fact, it provides highadaptability to any format to be produced, decreasing production time and amount of waste in the line; but alsosaving materials such as paper and plastic in packaging. The S3N line is enhanced with T5x models for the detection of transparent objects, equipped with coaxial optical architecture, based on TIR (Total Internal Reflection)lens, and an innovative received signal processing system.
Smart-VS+ is an advanced vision sensor based on machine learning through artificial intelligence ­technology.
With up to 20 learning dataset images, higher accuracy and faster response time, Smart-VS+ offers bettermachine learning assistance, increased speed, versatility and flexibility for various automation applications.

P3xSmart cameras

S3N sensor

Smart VS+ sensor

Datalogic Group   53

2023 Non-Financial Statement

Open Innovation
Datalogic continues its innovation partnerships in 2023, focusing on developing resources, skills and technologies. The most significant include Google, Qualcomm, and other Asian manufacturers, through which it obtained “Android Enterprise Recommended” certification for rugged mobile computers.
Additionally, Datalogic is involved in the CRIT consortium for scientific and technical research and collaborates
with start-ups specialising in machine learning and deep learning such as Pekat Vision, acquired in 2022. Collaboration with academic institutes is demonstrated by a partnership with the University of Bologna and Modena
Reggio Emilia for research, development and innovation activities in the field of data capture and processing.

MUSE: Mobile computer & Scan Engine
Datalogic was awarded a MIMIT (Ministry of Enterprise and Made in Italy) grant to create a new generation of ground-breaking products with cross-cutting impact in key sectors such as Retail, Manufacturing,Transportation, Logistics, and Healthcare.
The technologies developed within this project are fully integrated into the national smart specialisation
strategy “Smart Factory”. As indicated by the target markets, these technologies also positively affect the“Agrifood” and “Life Sciences” supply chains.
The integration of advanced ICT solutions in new generations of Mobile Computers and Scan Engines introduces innovations in the collaborative, dynamic, and adaptive dimensions of the supply chains they are
deployed in. They leverage the potential of data collection based on the IoT paradigm. The MUSE project
involves the development of: A completely revamped X5 Mobile Computing Platform (DATALOGIC SRL) for the Personal Data
Terminal market, based on the use of System-On-Module (SoM). These systems are built on a single
printed circuit board, providing efficiency and flexibility.
 A next-generation scan engine (DATALOGIC IPTECH) developed with a focus on high-performance
applications requiring significant read distances. Specifically, a mid-range reading platform will enable
decoding of 1D/2D barcodes up to 4 metres away. Additionally, a platform for long-distance readings(Extra Long Range or XLR) will enable 1D/2D decoding up to 20 metres, opening up new possibilities
for use in advanced industrial settings.

54   Datalogic GroupLeonardo Da Vinci - Best patent of the Year
In 2023, Datalogic celebrated the tenth anniversary of the “Leonardo da Vinci - Best Patent of the Year” award,a prestigious honour established by founder Romano Volta and CEO Valentina Volta. The award recognises the
top inventor and patent granted during the reporting period, acknowledging Datalogic inventors for their role inconceiving and designing new products and solutions, contributing to the Company’s long-term success. Award
ceremonies held in Eugene, Bologna, and Ho Chi Minh City offered a chance to celebrate and express gratitude to
all inventors from various locations worldwide for their contributions to the Company’s advancement.

Datalogic Group   55

2023 Non-Financial Statement

Product quality and safety and Customer centricity[416-1] [416-2]
Datalogic is committed to continuous improvement of the Quality Management System and to meeting all applicable requirements to ensure a high-quality, effective and certified product offering. The goal is customer satisfaction, from product use to after-sales service.
With a view to customer security, there were no substantiated complaints regarding privacy breaches and lossesof customer data in 2023.

Safe and quality products
Datalogic initiates risk identification and assessment at the specification stage of a new product, considering all
relevant mandatory and optional regulations, with a particular focus on Product Safety. This evaluation process
is extended to 100% of Datalogic products.
To ensure that the new product complies with identified regulations and internal standards, several tests are
performed during the product life cycle:
 During the development phase, specific tests are conducted in internal or external laboratories; During the production of the first batch, the Manufacturing Validation Test is performed to validate the production process; During mass production, checks include: functional tests performed on all products according to specifications, On-going Reliability Test to ensure product reliability over time, and Product Audit, which consists oftaking product samples from the warehouse to verify compliance.
Datalogic also conducts constant monitoring to prevent any product non-conformities. At December 31, 2023,
product non-conformities were found on approximately 0.8% of the total active product base. No instances of
non-compliance with regulations or self-regulatory codes concerning the health and safety impacts of products
and services were recorded.
The ongoing improvement process is ensured through implementation of corrective actions such as monthly
meetings with product business units for data analysis, weekly meetings with technical support to address any
issues following a PDCA cycle (Plan, Do, Check, Act), which includes data analysis and request for defective samples, and physical analysis of samples with rigorous root cause investigation (Root Cause Analysis).

Quality at the service of our customers
In 2023, Datalogic solidified processes aimed at collecting customer needs, perceptions, and suggestions at
various touchpoints throughout the customer journey, to provide a tangible answer to their needs and enhance
visibility across the various business functions.
Understanding and meeting customer expectations is pivotal for driving ongoing customer experience improvement initiatives, aimed also at aligning product and service offerings with what really matters to customers.
Datalogic conducts annual monitoring of the experience offered to its Customers through: Customer Complaints | a critical analysis to identify any issues during order processing or other situations
that affect the customer experience. Specifically, the review of “Critical Customer Complaints” allows for theidentification of significant issues in the field and facilitates the prompt resolution of relevant technical prob-

56   Datalogic Grouplems in an efficient and transparent manner. This process enables detailed analysis of the root causes, facilitating the management of corrective actions with the oversight of the Quality department and the collaboration of all relevant business areas for each specific problem.
 Supply Chain Management | due to the shortage of electronic components that has hit the industrial
automation industry over the past three years, Datalogic has implemented new processes to meet thismarket challenge. Initiatives comprise: daily analysis of customer requirements to pinpoint the mostsought-after components and schedule their production accordingly; continuous evaluation of criticalcomponent availability for production to secure optimal deals from suppliers; and product redesign efforts to reduce reliance on critical components, thereby alleviating delays stemming from their limited
availability.
 Instant Survey | Datalogic provides an opportunity for customers to give their assessment of the Customer
Support service. This tool quickly measures customer satisfaction and enables prompt action in case of deviations from standards. In 2023, the average survey result was 4.9 out of 5, reflecting a high level of satisfaction. A notable achievement was also the response time success: 94.7% of responses were delivered within
one business day, and 92.6% of cases were resolved within 3 business days.
 “Net Promoter Score” (NPS) metric | Datalogic has confirmed the Net Promoter Score (NPS) as a performance metric of customer satisfaction for 2023 as well. The year-on-year increase in this metric confirms
Datalogic’s strong commitment to ensuring the highest quality and efficiency for its customers.
Net Promoter Score
2023

2022

2021

65

55

45

SERVICE PROGRAM
Datalogic ensures excellence not only in products, but also in services. Datalogic’s specialised teams areavailable to provide customers with support as quickly as possible to resolve any product-related issues.
Through the EASEOFCARE program, managed directly by Datalogic, comprehensive support is provided tocustomers throughout the entire product life cycle. Customised support includes facilitated maintenanceand return options through the Support Team or web service. Instead, 24/7 telephone support offers
immediate access to experienced Group technicians. Lastly, Datalogic offers online or on-site training
courses tailored to specific needs to make customers self-sufficient in using and maintaining the devices.

Datalogic Group   57

2023 Non-Financial Statement

Responsible supply chain[GRI 308-1] [GRI 414-1]
Over the past three years, Datalogic has faced a significant shortage of electronic components. This shortfall,caused by a combination of factors including the Covid-19 pandemic, heightened demand for electronic devices, and disruptions in supply chains (exacerbated by U.S.-China trade tensions) has had a major impact on the
production of a wide range of technology products, leading to production delays and escalating prices. Despitea gradual economic improvement witnessed in the second half of 2023, the persistent fragility in global supply chains remains largely unchanged, underscoring the continued strategic importance of effectively managing
them.
Datalogic categorises its suppliers into two main macro-areas: those from whom Datalogic directly acquires
materials for production, and those who provide “indirect” goods and services, encompassing various purchasessuch as consulting, professional services, logistics, marketing and communications, and other types of material
procurement.
Purchased value
Amounts in €/000

2023
Purchased%

Direct suppliers

203,180.4

73%

Indirect suppliers

73,800.7

27%

Total suppliers

276,981.7

100%

Datalogic follows a meticulous qualification process for direct suppliers, which includes risk and financial viability assessments. Qualification procedures include signing the Code of Ethics and compliance audits. Includedin the “Code of Conduct” are references to compliance with applicable regulations, including REACH and RoHS,
for the assessment of environmental and human rights impacts, with special focus on minerals from conflictzones (conflict minerals). Regarding “conflict minerals”, the Company assures that it is not involved in activities
that could in any way support armed groups responsible for terrorism or violence in the Democratic Republicof Congo. As an additional measure, Datalogic has required all suppliers to comply with the Electronic Industry
Citizenship Coalition’s (EICC) Code of Conduct, ensuring safe working conditions, respect for workers, and ethicaland sustainable business activity.
The Company conducts quarterly analyses of inventories along the supply chain, monitors procurement targets,and engages in benchmarking activities with other companies. Additionally, through “Denied Party Screening”,
Datalogic uses a computer system to periodically check whether potential trading partners are included insanctioned or unauthorised party lists, minimising the risk of incurring export regulation violations. This exclusion process is based on verifying that employees, customers, sellers, suppliers, transactions, and company data
belong on sanctioned or unauthorised lists, with more than 1,300 global lists created by government authorities,
agencies, and organisations to identify individuals at risk for corruption offenses, links to terrorist organisations,or threats to national security.

58   Datalogic GroupESG assessment of suppliers
The introduction of new direct suppliers follows an organised process called “Direct Material Suppliers Search,
Select and Qualification”. This process, focused on categories considered critical, includes from the earliest
stages the collection of information regarding the management of environmental and social aspects througha self-assessment questionnaire called “Supplier Self Evaluation & Supplier Quality Verification”. Gathering thisinformation allows Datalogic to make an initial assessment and selection of potential suppliers.
If successful, Datalogic decides whether to proceed with a qualification audit aimed at verifying the statements inthe self-assessment questionnaire and evaluating additional requirements.
In 2023, the list of the Group’s suppliers receiving ESG/SA8000 verification questionnaires underwent a criticalreview. This review was carried out with the aim of covering at least 90% of the total value of purchases andobtaining at least 80% of responses throughout 2024. Analysis of the responses received will be the fundamental
basis for making improvements in the allocation criteria for new projects.
Lastly, in 2023, Datalogic assessed environmental and social criteria for 75% of new direct material suppliers15, administering the assessment questionnaire on sustainability issues (Environment, Health & Safety)16.

Regarding 4 new direct material suppliers, 3 were also assessed with ESG criteria.
Under the “Direct Material Suppliers Search, Select and Qualification” procedure, Datalogic suppliers who are scheduled to be administered the sustainability issues assessment questionnaire (Environment, Health & Safety) are those in certain categories considered relevant from the perspective of the criticality of the supplier (excluding for example brokers and distributors).
15
16

Datalogic Group   59

2023 Non-Financial Statement

Environment
Monitoring environmental impacts is an issue of paramount importance to Datalogic. Through Environmental
Management Systems implemented at each relevant site (in terms of the size of the site or the criticality of its
processes), Datalogic carries out systematic management of the environmental impacts arising from the performance of office and/or manufacturing activities.
Management of the risks and potential impacts generated by environmental management activities is focused on the manufacturing plants, identified as the most significant areas of activity, both in terms of the typeof activities carried out and the number of people working there.
In addition to impacts from the type of production activity, a number of Datalogic sites (specifically those in Italy)
produce two additional impacts: atmospheric emissions and water discharges (not significant)17 which are constantly monitored through periodic sampling. This timely supervision allows for monitoring the environmental
impact and, consequently, minimising the risks associated with non-compliance with national laws. In 2023 too,
the main area of environmental risk (which is nevertheless “unlikely”) to which the plants are subject is identified
as the potential spillage of chemicals that could pollute soil and water. In order to reduce impact and likelihood asmuch as possible, specific safeguards are defined in accordance with the ISO 14001 standard.
With regard to the 2023 reporting period, the environmental data collected and reported in this NFS refer to thefollowing locations: Monte San Pietro - BO (Italy), Castiglion Messer Raimondo - TE (Italy), Modena (Italy), Lippodi Calderara - BO (Italy), Trnava (Slovakia), Balatonboglar (Hungary), Ho Chi Minh (Vietnam), Eugene (USA), Plano(USA), Hatfield (USA).
A Facility Manager is in charge of monitoring the environmental aspects associated with the manufacturing sites.
Overall, taking into account the type of activities carried out at the Group’s plants and the maturity of the Environmental Management Systems implemented at the sites, the level of environmental risk is assessed as low. There
were no cases of non-compliance with environmental laws and regulations globally in 2023.

17

Refer to the Methodological Note.

60   Datalogic GroupEnergy and emissions[GRI 302-1] [GRI 305-1] [GRI 305-2]
Datalogic’s manufacturing activities are mainly aimed at component assembly and do not include energy-intensive operations.
Given the low environmental risk profile of Datalogic’s operations, energy consumption is the most significant
aspect in terms of the environmental impact of the Group’s plants and locations worldwide. While the Company’s
processes are not particularly energy intensive, Datalogic is actively committed to monitoring and reducing
the environmental impact of its consumption, through constant research and implementation of innovative andenergy-efficient solutions, as well as the use of energy sourcing from renewable sources.
The energy consumption is broken down into direct and indirect consumption. For direct consumption, natural
gas for heating, diesel for heating and car fleet, LPG and petrol for car fleet are considered.
Indirect consumption, on the other hand, regards consumption resulting from the use of electricity.
Direct and indirect energy consumption (GJ)18
2023
GJ∆% 23-22

2022
GJ∆% 22-21

2021
GJ

Direct energy consumption from non-renewablesources

18,246-13%

20,862-10%

23,121Natural gas

16,496-13%

18,854-9%

20,694

Diesel

23

53%

15

0%

15

LPG

1,727

-13%

1,993

-17%

2,412

Energy consumption of the car fleet

575

-70%

1,890

6%

1,780

Diesel

520

-69%

1,669

0%

1,677

Petrol

55

-75%

221

115%

103

Indirect energy consumption

49,639-8%

54,212-4%

56,620Electricity purchased from non-renewable sources

44,969-8%

49,112-4%

51,143

Electricity purchased from renewable sources19

4,670

-8%

5,100

-7%

5,477

Total Energy consumption (no car fleet)

67,885-10%

75,074-6%

79,741

Total Energy consumption (with car fleet)

68,460-11%

76,964-6%

81,521

The following conversion factors were used to calculate energy consumption in GJ:– Natural gas: 45.03 GJ/t (source: DEFRA 2021) for 2021; 45,195GJ/t (source: DEFRA 2022) for 2022; GJ/t (source: DEFRA 2023) for 2023;– Diesel for heating: 42.57 GJ/t (source: DEFRA 2021) for 2021; 42.569 GJ/t (source: DEFRA 2022) for 2022;– LPG: 45.94 GJ/t (source: DEFRA 2021) for 2021; 45.94 GJ/t (source: DEFRA 2022) for 2022;– Electricity: constant of 0.0036 GJ/kWh (International System);– Automotive diesel: 42.47 GJ/t (source: DEFRA 2021) for 2021; 42.60 GJ/t (source: DEFRA 2022) for 2022;– Petrol: 43.8 GJ/t (source: DEFRA 2021) for 2021; 40.72 GJ/t (source: DEFRA 2022) for 2022.
19
Purchase from photovoltaic system at the factory in Vietnam.
18

Datalogic Group   612023 Non-Financial Statement

In 2023, total consumption was 68,460 GJ versus 76,964 GJ in 2022 (-11%). The reduced consumption can be
attributable to seasonal reasons but also to lower production.
Electricity consumption is also the dominant share (72% of total energy consumption) in 2023.
2023 energy consumption
Consumption

2023

2022

2021

Electricity consumption

72%

70%

70%

Direct Consumption For Heating (Natural Gas, Diesel, LPG)

27%

27%

28%

Car Fleet Consumption (Diesel, Petrol)

1%

3%

2%

In terms of electricity consumption alone, the countries where consumption is highest are Italy, Vietnam and the
U.S., countries where the main manufacturing sites are located.
Proportion of electricity consumption in 2023 by country
Country

2023

2022

2021

Italy

34%

34%

33%

Vietnam

34%

34%

34%

USA

19%

18%

18%

Hungary

10%

10%

12%

Slovakia

3%

4%

3%

Regarding the consumption of company fleets (diesel and petrol), only company fleet cars (excluding leased andmixed-use cars) were included in the reporting scope.
Direct (Scope 1) and indirect (Scope 2) CO2 emissions for the whole Datalogic group, those related to direct andindirect energy consumption are reported, with details of emissions attributable to the car fleet. In 2023, emissions decreased due to reduced consumption resulting from lower production volumes.

62   Datalogic GroupIn 2024, Datalogic will consider actions to be put in place regarding Scope 3 reporting.
Direct and indirect emissions (tons CO2 e)20
2023

2022
∆% 23-22

TON CO2
equivalent
Direct emissions (Scope 1) - no car fleet

TON CO2
equivalent2021∆% 22-21

TON CO2
equivalent

1,041

-12%

1,188

-10%

1,317

929

-12%

1,059

-9%

1,161

Derived from Diesel

2

100%

1

0%

1

Derived from LPG

110

-14%

128

-17%

154

Emissions - Car fleet

41

201%

137

8%

127

Derived from Diesel

37

-69%

119

2%

117

Derived from Petrol

4

200%

18

80%

10

Indirect Emissions (Scope 2) - Location-based

6,799

-6%

7,261

-6%

7,740

Indirect Emissions (Scope 2) - Market-based

5,863

-11%

6,609

-7%

7,119

Derived from Natural Gas

20

The following emission factors were used to calculate Scope 1 emissions:
2023

2022

2021

SourceNatural Gas (tCO2e /m3)

0.00204

0.002020.00202

Defra 2023

Gas/Diesel Oil (tCO2e/l)

0.00276

0.00276

0.00276

LPG (tCO2e/l)

2.939362.939292.93929

Oil Fuel (tCO2e/l)-

0.003180.00318

Automotive petrol (tCO2e/l)

0.00209--

Automotive diesel (tCO e/l)

0.00251

0.00256

0.00251

For the calculation of Scope 2 emissions, in line with the GRI Standards, both calculation methodologies (Market-based and Location-based.
The Market-based method is based on CO2 emissions from energy suppliers from which the organisation purchases electricity under anagreement, and can be calculated considering: Energy Guarantee of Origin certificates and direct agreements with suppliers, supplier-specific emission factors, emission factors related to the “residual mix”, i.e. energy and emissions not monitored or claimed (methodology
used, with source emission factor Residual Mix AIB 2022 for Italy, Hungary and Slovakia, with source emission factor IGES Grid emission
factors v.11,3- Nov 2023 for Vietnam, and with source emission factor 2023 Green-e® Residual Mix Emission Rates (2021 Data) for USA(regional factors of the states where the sites are located, i.e., Texas (ERCT), Oregon (NWPP), Pennsylvania (RFCE) were considered.
The Location-based method is based on average emission factors related to energy generation for well-defined geographic boundaries,
including local, subnational, or national boundaries (methodology used, with Terna 2019 source emission factor for Italy, Slovakia, Brazil,
Hungary, and the U.S., and with IGES Grid emission factors v.11,3 - Nov. 2023 source emission factor for Vietnam)
Scope 2 emissions are shown in tons of CO2; however, the percentage of methane and nitrous oxide has a negligible effect on the total
greenhouse gas emissions (CO2 equivalent), as inferred from the relating technical literature.

Datalogic Group   63

2023 Non-Financial Statement

Waste[GRI 306-1] [GRI 306-2] [GRI 306-3]
Datalogic is committed to reducing waste generation by optimising business processes and promoting material
reuse, with the goal of minimising landfilling and incineration, while complying with the laws and quality of its
products.
At all Datalogic sites, waste is managed according to current regulations. Each Group site keeps track of thewaste generated, distinguishing it between hazardous and non-hazardous, and manages the issue through processes in compliance with applicable laws. These processes cover the management of temporary waste storage,
the management of disposal activities, and the management of the filing of all supporting record documents.
The types of waste generated include materials from production processes, maintenance (routine and extraordinary) and laboratory activities, demolition if any, and office activities.
In 2023, the Group’s total waste amounted to 757.2 t versus 810.7 t in the prior year (-7%).
Waste by type and disposal method
Type of waste

Hazardous waste

Non-hazardous waste

Total waste generated

Destination

2023
t

2022
t

2021
t

Reuse

0.0

0.0

0.0

Recycling

0.6

0.6

1.0

Composting

0.0

0.0

0.0

Recovery, including energy recovery

0.8

2.2

0.5

Incineration (mass burning)

16.7

20.7

20.1

Landﬁll

1.0

2.0

1.8

Total hazardous waste

19.2

25.5

23.4

Reuse

40.2

3.9

0.6

Recycling

507.4

552.0

705.8

Composting

0.8

0.8

0.8

Recovery, including energy recovery

95.8

105.1

109.9

Incineration (mass burning)

8.3

12.6

13.1

Landﬁll

85.5

110.7

186.5

738.0

785.1

1,016.7

757.2

810.6

1,040.1

98% of the waste generated by the Group falls into the non-hazardous waste category, recording a 6% decrease.

64   Datalogic GroupThe description of waste generated in 2023 by destination is described in the table below:
Destination of waste 2023

2023

2022

2021

t

%

t

%

t

%

Reuse

40.2

5.3%

3.9

0.5%

0.6

0.1%

Recycling

508.0

67.1%

552.7

68.2%

706.8

68.0%

Composting

0.8

0.1%

0.8

0.1%

0.8

0.1%

Recovery, including energy recovery

96.6

12.8%

107.2

13.2%

110.4

10.5%

Incineration (mass burning)

25.0

3.3%

33.3

4.1%

33.2

3.2%

Landﬁll

86.6

11.4%

112.7

13.9%

188.3

18.1%

Total

757.2

100%

810.6

100%

1,040.1

100%

Among the data provided, mention should be made of the increase in waste reused as a resource: in 2023, Datalogic implemented cardboard shredding machines in its warehouses, facilitating the reuse of cardboard forfiller purposes in finished product packaging. This innovation has also led to a reduction in waste generation
earmarked for recycling.
Datalogic complies with the Waste Electrical and Electronic Equipment (WEEE) Directive (2012/19/EU), whichaims to promote the recycling and proper disposal of waste electrical and electronic equipment (WEEE) to minimise its environmental impact. Datalogic’s equipment and batteries are marked WEEE, alerting users to the needto separate and return them for proper recycling at the end of their life cycle. Datalogic sends monthly sales data
to WEEE EUROPE, a service partner, for statements on placing products on the market and annually to national
registries for compliance. Regarding end-of-life product management, users are responsible for ensuring theirproper disposal. Consumers can bring their devices to local collection centres, while companies are encouraged
to coordinate with local Datalogic offices to arrange pickups.

Datalogic Group   65

2023 Non-Financial Statement

Sustainability of materials[GRI 301-1] [GRI 301-2]
In 2023, Datalogic adopted a proactive strategy toward sustainability of packaging materials, aiming to reduce
environmental impact through innovation and responsibility. The Company has prioritised the use of recyclable
materials and reduced over-packaging by opting for uncoloured cardboard packaging and minimising the use oflabels. This approach has led to a significant reduction in the use of plastic bags.
Through eco-design and collaboration with suppliers to develop environmentally sustainable packaging solutions, Datalogic is committed to promoting environmentally responsible practices.
These efforts, along with detailed analysis of consumption and costs associated with packaging, reflect theCompany’s goal of continuously improving efficiency and sustainability, contributing positively to resource
preservation and reducing the Group’s environmental impact.
66% of the total value of packaging belonging to the product box category - equal to 3.4 million in total value - ismade up of approximately 80% recycled material21. In 2024, Datalogic will consider the actions to be taken regarding reporting on the materials used.

Green Innovation: recycled plastics
As part of environmentally sustainable innovation, Datalogic’s R&D department has launched a project on theuse of non-virgin plastics for specific mechanical products and handheld devices. In 2023, the Group began
preparations to use this technology firstly on scanners and later to HHS readers for the retail market. The Company has identified an estimated potential of 120 tons of virgin plastics that could be replaced with plastics witha high recycled content.

21

The data refer to the following legal entities: DL Inc, DL Slovakia, DL Vietnam, DL Teramo, DL Monte San Pietro, DL Hungary.

66   Datalogic GroupDatalogic Group   67

2023 Non-Financial Statement

PeoplePeople well-being
Breakdown of staff[GRI 2-7] [GRI 2-8] [GRI 2-30] [GRI 405-1] [GRI 406-1]
Datalogic recognises that the success of its products and services is the result of the daily commitment of its
people. Therefore, the Group is dedicated to implementing personnel management policies founded on principles such as respecting moral integrity, safeguarding personal dignity, combatting discriminatory or harmful behaviour, and fostering the professional development and growth of employees. For Datalogic, employee well-being also includes meeting professional development and training needs, as well as the welfare tools available toemployees and maintaining a positive work climate.
At December 31, 2023, Datalogic counts a total of 2,910 people, 92.1% of whom on open-ended contracts and97.7% full-time. Datalogic does not employ any individuals under non-guaranteed hourly contracts, and thus noreporting is conducted in this regard within the organisation.
At the Group level, approximately 56.8% of employees are covered by a national collective agreement22. For
employees not covered by collective bargaining agreements, Datalogic ensures that consistent standards areapplied globally. This is achieved through the implementation of internal policies and the Code of Ethics, whichtake precedence over any less stringent legislation.
58.2% of Datalogic’s employees work in the EMEA region, while 16.3% work in the Americas and the remaining
25.4% in APAC.
Total employees by region and gender (n)23
2023
Men

% Women

2022
%

Total

%

Men

% Women

2021
%

Total

%

Men

% Women

%

Total

%

EMEA

967

33.2%

728

25.0%

1,695

58.2%

1,002

32.6%

802

26.1%

1,804

58.8%

981

32.8%

768

25.7%

1,749

58.5%

APAC

446

15.3%

294

10.1%

740

25.4%

458

14.9%

307

10.0%

765

24.9%

442

14.8%

313

10.5%

755

25.3%

AMERICAS

376

12.9%

99

3.4%

475

16.3%

397

12.9%

103

3.4%

500

16.3%

374

12.5%

112

3.7%

486

16.3%

Total
employees

1,789 61.5%

2,910 100.0%

1,857

60.5

1,212 39.5%

1,121 38.5%

3,069 100.0%

1,797 60.1%

1,193 39.9%

2,990 100.0%

Where required by law, 100% of employees are covered by a national collective agreement.
All employee data were accurately calculated at 31/12/2023, using the headcount at that date as the criterion. In contrast, due to thenature of their work, consultants’ data were based on an annual average of hours worked, providing the final figure in FTE (full-time equivalent). In this regard, it should be noted that there was no significant fluctuation in their figures during the year.
222368   Datalogic GroupTotal employees by type of employment and gender2023

Open-ended

Fixed-term

Full time

Part time

Total

2022

2021

Men

Women

Total

Men

Women

Total

Men

Women

Total

N

1,639

1,040

2,679

1,660

1,074

2,734

1,626

1,072

2,698

%

91.6%

92.8%

92.1%

89.4%

88.6%

89.1%

90.5%

89.9%

90.2%

N

150

81

231

197

138

335

171

121

292

%

8.4%

7.2%

7.9 %

10.6%

11.4%

10.9%

9.5%

10.1%

9.8%

N

1,776

1,066

2,842

1,837

1,093

2,930

1,791

1,137

2,928

%

99.3%

95.1%

97.7%

98.9%

90.2%

95.5%

99.7%

95.3%

97.9%

N

13

55

68

20

119

139

6

56

62

%

0.7%

4.9%

2.3%

1.1%

9.8%

4.5%

0.3%

4.7%

2.1%

N

1,789

1,121

2,910

1,857

1,212

3,069

1,797

1,193

2,990

Total employees by type of employment and geographical area
2023

Open-ended

Fixed-term

Full time

Part time

Total

2022

2021

EMEA

APAC Americas

Total

EMEA

APAC Americas

Total

EMEA

APAC Americas

Total

N

1,681

523

475

2,679

1,747

487

500

2,734

1,705

507

486

2,698

%

99.2%

70.7%

100.0%

92.1%

96.8%

63.7%

100.0%

89.1%

97.5%

67.2%

100.0%

90.2%

N

14

217

-

231

57

278

-

335

44

248

-

292

0.8%

29.3%

-

7.9%

3.2%

36.3%

0.0%

10.9%

2.5%

32.8%

-

9.8%

N

1,632

740

470

2,842

1,675

759

496

2,930

1,692

755

485

2,932

%

96.3%

100.0%

98.9%

97.7%

92.8%

99.2%

99.2%

95.5%

96.7%

100.0%

99.8%

98.1%

N

63

0

5

68

129

6

4

139

57

-

1

58

%

3.7%

0.0%

1.1%

2.3%

7.2%

0.8%

0.8%

4.5%

3.3%

-

0.2%

1.9%

N

1,695

740

475

2,910

1,804

765

500

3,069

1,749

755

486

2,990

97.7% of employees have full-time contracts, while the utilisation of part-time employment forms fulfils the needfor flexibility, due partly to emerging phenomena and personal or family needs observed in the post-pandemic
period.
The category of non-employee workers employed in the Group are divided into temps and consultants. Temps are
predominantly found in manufacturing (137 Blue Collars vs 43 White Collars).

Datalogic Group   69

2023 Non-Financial Statement

Total non-employee workers by occupational category (n)24
2023

2022

White collars

43

58Blue collars

137

432

Total

180

490

Datalogic is committed to providing equal opportunities based on each employee’s abilities and skills, avoiding
discrimination in terms of hiring, training, compensation, promotion or transfer. In 2023, there were no reported
cases of discrimination among employees.
To enhance Diversity and Inclusion in the Group, Datalogic has included gender gap improvement goals in theThree-Year Long-Term Incentive Plan for executives, with particular regard to the percentage of female
White Collars out of total white collars25. The Company also follows the principles of SA8000 Certification
through its “Human Rights and Social Accountability” Policy, committing to identify, address and prevent risks
related to Human Rights. Certification ensures a workplace free from violence, harassment and intimidation,
respectful of worker privacy and dignity.
Total employees by occupational category and gender
2023
Men

% Women

2022
%

Total

%

Men

% Women

2021
%

Total

%

Men

% Women

%

Total

%

White collars

1,412

78.9%

538

48.0%

1,950

67.0%

1,435

77.3%

535

44.1%

1,970

64.2%

1,373

76.4%

516

43.3%

1,889

63.2%

Blue collars

377

21.1%

583

52.0%

960

33.0%

422

22.7%

677

55.9%

1,099

35.8%

424

23.6%

677

56.7%

1,101

36.8%

Total
employees

1,789 100.0%

1,121 100.0%

2,910

1,121

1,857 100.0%

1,212 100.0%

3,069 100.0%

1,797 100.0%

1,193 100.0%

2,990 100.0%

Total employees by job category and age group
2023
<30

% 30 - 50

2022
%

>50

%

<30

% 30 - 50

2021
%

>50

%

<30

% 30 - 50

%

>50

%

White collars

212

55.5%

1,085

64.9%

653

76.4%

211

44.4%

1,139

65.0%

620

73.6%

180

38.6%

1,119

65.1%

590

73.3%

Blue collars

170

44.5%

588

35.1%

202

23.6%

264

55.6%

613

35.0%

222

26.4%

286

61.4%

600

34.9%

215

26.7%

Total
employees

382 100.0%

1,673 100.0%

855 100.0%

475 100.0%

1,752 100.0%

842 100.0%

466 100.0%

1,719 100.0%

805 100.0%

All temp data were accurately calculated at 31/12/2023, using the headcount at that date as the criterion. In contrast, due to the natureof their work, consultants data were based on an annual average of hours worked, providing the final figure in FTE (full-time equivalent).
The decrease in the use of temps is explained by the reduced production.
25 Refer to the remuneration policy published on the Corporate Website: https://www.datalogic.com/eng/company/corporate-governance/
remuneration-irp-11547.html
2470   Datalogic GroupIn 2023, 67.0% of Datalogic’s employees are white collars, i.e., office workers, recording a slight 1.0% decline versus the prior year. Additionally, women make up 27.6% of the total white collar workforce, while workers under
30 make up 10.9% of the total white collar workforce.
Total employees by gender, age group and geographical area
2023
EMEA
N

APAC
%

2022
Americas

N

%

N

Total
%

N

EMEA
%

N

APAC
%

N

Americas
%

N

Total
%

N

%

Total employees

1,695 100.0%

740 100.0%

475 100.0%

2,910 100.0%

1,804 100.0%

765 100.0%

500 100.0%

3,069 100.0%

Men

967

57.1%

446

60.3%

376

79.2%

1,789

61.5%

1,002

55.5%

458

59.9%

397

79.4%

1,857

60.5%

Women

728

42.9%

294

39.7%

99

20.8%

1,121

38.5%

802

44.5%

307

40.1%

103

20.6%

1,212

39.5%

Under 30

157

9.3%

170

23.0%

55

11.6%

382

13.1%

194

10.8%

225

29.4%

56

11.2%

475

15.5%

30 – 50

976

57.6%

530

71.6%

167

35.2%

1,673

57.5%

1,057

58.6%

507

66.3%

188

37.6%

1,752

57.1%

Over 50

562

33.2%

40

5.4%

253

53.3%

855

29.4%

553

30.7%

33

4.3%

256

51.2%

842

27.4%

Listening and well-being[GRI 401-2]
By engaging its people and actively listening to employee feedback, Datalogic aims to create a positive work
experience, enabling tangible initiatives that transform the Company. Bearing this in mind, Datalogic implemented Virtual Focus Groups (VFGs), “virtual rooms” where participants shared opinions anonymously, providing
comments, suggestions and needs to improve the workplace. VFGs have played a crucial role in analysing andidentifying staff needs, thus initiating initiatives aimed at improving their well-being in the Company.
The welfare system is applied to all types of employees (including employees on part-time or fixed-term contracts) and in all countries where Datalogic operates, adjusting its elements according to their relevance in eachgeography.
In Italy, more than 20 initiatives were evaluated based on feedback gathered during the VFGs. Priorities wereassigned to different actions, focusing mainly on improving work-life balance. This has led to increased flexibility
in work time and confirmation of a hybrid work approach, allowing employees to manage their lives more harmoniously. Further work in Italy focused on the benefits communication campaign, including health insurance, thewelfare platform, additional paid leave, and a supplementary pension plan. In order to facilitate the managementof personal responsibilities, “time-saving” services, such as the in-house parcel delivery point, were introduced.
In 2023, Datalogic expanded its parenting support offerings originally aimed at employees with younger children,with initiatives such as the Kindergarten Bonus and optional maternity supplement, and by introducing new
grants such as the Book Bonus targeted specifically at school-age children. The Company also promoted socialisation activities to strengthen ties among employees, supporting volunteer associations such as Casa Santa
Chiara - Società Cooperativa Sociale in Bologna.

Datalogic Group   71

2023 Non-Financial Statement

In the United States, the focus was on the Smart Working Policy, the creation of new services, employee discounts, team building activities, and work environment development. These include outdoor games in Hatfieldand Eugene, seasonal freshly fruits, and weekly yoga classes also in Eugene.
In China, the Company provided grants for schoolbooks, increased allowances for parental responsibilities, andlocal training initiatives. In Slovakia, smart work, change of food stamp supplier, a health day, and informal
meetings with the Plant Manager were implemented. In Vietnam, Datalogic introduced smart working policies,
employee wellness activities and local training initiatives.

Resource enhancement and internal growth[GRI 401-1] [GRI 404-3]
In 2023, Datalogic paid special attention to the professional development and enhancement of its employees. In
Italy, a total of 26 employees reached new professional milestones and career advancements, while another6 professionals were integrated into leadership teams, leading to a 58% as the rate of internal promotions tosenior management roles.
The internal advancement and development of leadership roles serve not only to offer professional growth prospects for internal talent but also to fortify the experience of the leadership team.
In R&D, for example, a professional growth path was designed starting from the role of Junior Engineer, the entry
point into the organisation. By advancing to the role of engineer, individuals can take advantage of horizontal job
rotation to expand their skill set and experience.
Upon reaching the Senior Engineer level, individuals have two pathways available: they can transition into managerial positions, guiding teams towards project success, or they can opt to enhance their expertise, becoming
technical authorities within the organisation.
The transition to the Principal Engineer position involves a significant change in the role’s mission and project
engagement. Principal Engineers play a key role in innovation, offering support on specific technologies, promoting knowledge sharing and fostering a culture of continuous learning. They also ensure that core knowledge isadopted in various projects, thereby contributing to the overall growth and success of the Company.
In 2023, Datalogic recorded a hiring rate of 8.6%. Out of the 251 people placed, 34.3% are women and 35.1% areyoung people under 30. In 2023, the turnover rate declined to 14.1%, down versus 15.8% in 2022.

72   Datalogic GroupNew hires and turnover by gender and geographical area26
2023

2022

2021

Men

Women

Total

Men

Women

Total

Men

Women

Total

Hires

89

63

152

184

175

359

126

114

240

Terminations

123

137

260

165

139

304

150

88

238

Hiring rate

9.2%

8.7%

9.0%

18.4%

21.8%

19.9%

12.8%

14.8%

13.7%

Turnover rate

12.7%

18.8%

15.3%

16.5%

17.3%

16.9%

15.3%

11.5%

13.6%

Hires

47

13

60

70

39

109

51

37

88

Terminations

58

26

84

54

45

99

42

43

85

Hiring rate

10.5%

4.4%

8.1%

15.3%

12.7%

14.2%

11.5%

11.8%

11.7%

Turnover rate

13.0%

8.8%

11.4%

11.8%

14.7%

12.9%

9.5%

13.7%

11.3%

Hires

29

10

39

77

19

96

59

17

76

Terminations

51

14

65

56

26

82

89

25

114

Hiring rate

7.7%

10.1%

8.2%

19.4%

18.4%

19.2%

15.8%

15.2%

15.6%

Turnover rate

13.6%

14.1%

13.7%

14.1%

25.2%

16.4%

23.8%

22.3%

23.5%

Total hiring rate

9.2%

7.7%

8.6%

17.8%

19.2%

18.4%

13.1%

14.1%

13.5%

Total turnover rate

13.0%

15.8%

14.1%

14.8%

17.3%

15.8%

15.6%

13.1%

14.6%

EMEA

APAC

AMERICAS

The rate of new hires is calculated as the ratio of the total number of resources entered (total, by gender and age group) in 2023 to thetotal number of employees (total, by gender and age group) at 31/12/2023. The turnover rate is calculated as the ratio between the total
number of resources who left (total, by gender and age group) in 2023, and the total number of employees (total, by gender and age group)at 31/12/2023.
26

Datalogic Group   73

2023 Non-Financial Statement

New hires and turnover by age group and geographical area
2023

2022

2021

<30

30 - 50>50<30

30 - 50>50<30

30 - 50

>50

Hires

55

79

18

125

195

39

85

126

29

Terminations

49

143

68

68

177

59

63

131

44

Hiring rate

35.0%

8.1%

3.2%

64.4%

18.4%

7.1%

45.0%

12.1%

5.6%

Turnover rate

31.2%

14.7%

12.1%

35.1%

16.7%

10.7%

33.3%

12.6%

8.4%

Hires

21

38

1

62

45

2

41

46

1

Terminations

19

64

1

23

71

5

22

60

3

Hiring rate

12.4%

7.2%

2.4%

27.6%

8.9%

6.1%

17.6%

9.3%

4.0%

Turnover rate

11.2%

12.1%

2.4%

10.2%

14.0%

15.2%

9.4%

12.1%

12.0%

Hires

12

15

12

41

40

15

21

32

23

Terminations

9

34

22

17

34

31

12

46

56

Hiring rate

21.8%

8.8%

4.7%

73.2%

21.3%

5.9%

47.7%

17.5%

8.9%

Turnover rate

16.4%

19.9%

8.7%

30.4%

18.1%

12.1%

27.3%

25.1%

21.6%

Total hiring rate

23.0%

7.9%

3.6%

48.0%

16.0%

6.7%

31.5%

11.9%

6.6%

Total turnover rate

20.2%

14.4%

10.6%

22.7%

16.1%

11.3%

20.8%

13.8%

12.8%

EMEA

APAC

AMERICAS74   Datalogic GroupThe performance evaluation process (PMP- Performance Management Process) based on a goal-oriented
mindset and a culture of excellence continued at Datalogic in 2023.
Percentage of employees receiving periodic performance and professional development evaluation by contract type and gender(of total eligible employees)
2023
Men

White collars

Women

Total

Evaluated

Not evaluatedEvaluated

Not evaluatedEvaluated

Not evaluated91.4%

		8.6%

90.3%

9.7%

91.2%

8.8%

Percentage of employees receiving periodic performance and professional development evaluation by contract type and region(of total eligible employees)
2023
EMEA

White collars

APAC

AMERICAS

Evaluated

Not evaluatedEvaluated

Not evaluatedEvaluated

Not evaluated

91.4%

8.6%

89.3%

10.7%

91.9%

8.1%

Periodic performance and professional development evaluation is provided to 91.1% of eligible employees at theCompany.
The performance evaluation process is an important time for gathering people’s professional aspirations andbuilding individual development plans aimed at sustaining performance over time and professional growth.
Employees are evaluated on two aspects27: achievement of goals and compliance with the values promotedby the Company. This process has 6 steps: goal assignment, mid-year review, self-assessment, Manager’s evaluation, evaluation calibration, and final feedback.
Goal setting follows a cascading approach in order to align individual goals with corporate priorities. In fact,
employees can propose their own Goal Plan by defining 4 professional goals that they aim to achieve (one morethan in 2022): 1 common Function/Organisation goal, the same for all employees;
 2 quantitative individual goals, expressed with a specific metric, a measurable KPI;
 1 qualitative individual goal related to the development of a soft skill of their choice.

27

The Performance Management Process is only applied to the Group’s white collars.

Datalogic Group   75

2023 Non-Financial Statement

In 2023, the notable emphasis is on enhancing communication on the process and its key steps, alongsidetraining on key behaviours conducive to utilising evaluations as a developmental tool. This includes dedicated meetings through digital learning paths (such as bias in the evaluation process, giving and receiving
feedback, etc.).

Skills development[GRI 404-1] [GRI 401-2] [GRI 404-2]
Training hours increased in 2023. Specifically, an average of 11.8 hours of training per capita was delivered to
employees.
Average hours of training per employee by gender and contract type
2023

2022

2021

Men

13.4

12.9

5.9

Women

9.1

9.3

8.3

2023

2022

2021

White collars

15.2

12.2

4.7

Blue collars

4.9

10.2

12.2

Average hours of annual training per employee by contract type2023 was a year of consolidation of Datalogic’s educational offerings, launched in 2022 and revolving around four
key pillars: Datalogic DNA, Talent & Leadership, Tech Fab and Soft Skills.
Talent & Leadership. The Talent Program was enhanced with two new editions. The first, aimed at the EMEA
region, saw the implementation of an EPI (Elevating Personal Impact) session aimed at talent at the beginningof their professional careers and an ELI (Elevating Leadership Impact) session aimed at managers who need todevelop their impact as leaders. A total of 55 new talents participated in the program.

Elevating Personal Impact

Elevating Leadership Impact

Participants, after an analysis of their profile, take partin a two-day workshop that includes group exercises
and simulations with colleagues to experience reallife situations and discuss areas for improvement.

During a two-day workshop, participants collaborate in teams through real-life simulations,facing situations to understand leadership decisions and trade-offs at critical moments.

Participants in both modules work virtually with a coach for a month, with 4 checkpoints with the talentteam, and conclude the course with a customised action plan for their professional development.

76   Datalogic GroupThe second edition included the extension of the program to the APAC area, marking the first participation of
professionals from this region in this initiative. The program was implemented at the Ho Chi Minh headquarters,
involving talent from all APAC locations, with editions specifically dedicated to both EPI and ELI.
Tech Fab. In the context of technical training, certification as a Project Manager was introduced in cooperation
with the Project Management Institute (PMI). Sixteen Project Managers successfully completed the course. Also
as part of technical training, an ESG training course was delivered to a small group of approximately 15 managers
to prepare participants for the new challenges and perspectives related to sustainability.
Soft skills. In 2023, work continued on enhancing the digital library, an online platform open to all employees that
contains more than 1,000 training resources provided by CrossKnowledge, a market leader in cross-cutting andmanagement topics. Each employee has the opportunity to independently explore self-study content, follow theirsupervisor’s suggestions or identify personal development needs in order to foster professional growth.

Focus on | Partnerships with Universities
In 2023, Datalogic expanded its presence in academia with activities and projects in more than 15 universities, present in Vietnam, Italy and the United States.
Factory Tour | 39 German Electrical and Electronic Engineering students from the Fresenius University
MBA program (Germany) had a hands-on experience at the Datalogic factory in Vietnam where they wereintroduced to the Group’s projects and products.
Another 30 economics students from James Cook University and HCM Open University and 18 economics
students from the University of Tennessee and Haslam College of Business carried out similar activities.
Seminars | Datalogic held a seminar focused on the interconnection between Corporate Procurement activities and Sustainability at the Milan Polytechnic.
Additionally, the Company presented case uses at UniMore to share best practices and internship opportunities in Computer Vision & AI. Likewise, case uses were presented at UniBo for the specific areas of Artificial Intelligence and Mathematics, with the aim of offering internship projects. Datalogic also collaborates
directly with students at the University of Bologna (Junior Enterprise Bologna) by organising business cases on the Company’s reality. Concurrently, seminar ideas are being developed with engineering universities
in the United States to identify potential partnerships and areas of common interest.
Career Days | Datalogic participated in the UniBo and UniFe Job Fair where it showcased the Company ina dedicated booth and workshop space to engage with participants.
Open Day | Datalogic opened its doors to 26 students from Bologna Business School, taking them inside
the museum and to the Datalogic retail world to show even more closely how the Company stands out
from companies in the area.
Networking events | Datalogic employees met with OSU Career Development staff to discuss upcoming collaboration opportunities between Datalogic and Ohio State University (USA) students. It is common
practice for Datalogic to hold information sessions with interested faculty students. In 2023, 13 internships
were opened in Italy, 9 in the U.S. and 11 in Vietnam, resulting in the placement of 4 new talents in Italy
and 1 in the U.S.A. total of 57 internships were opened and 24 hires were made between 2022 and 2023.

Datalogic Group   77

2023 Non-Financial Statement

Worker health and safety[GRI 403-1] [GRI 403-2] [GRI 403-3] [GRI 403-4] [GRI 403-5] [GRI 403-6] [GRI 403-7] [GRI 403-8] [GRI 403-9]
Datalogic strives every day to protect the safety, health and mental and physical well-being of its staff and employees. The Group carefully assesses risks that may occur within the Company and recognises the need to keep
this assessment constantly updated to reflect evolving processes, changes and new activities implemented.
Datalogic has a Health and Safety Policy in place that includes ongoing prevention in workplace healthand safety, environmental protection in compliance with applicable legislation and other requirements
which the organisation complies with. To this end, the implementation of the ISO 45001 standard at thecompany has reached 60% coverage globally. In Italy, the system covers 100% of employees, ensuring fullcompliance with occupational health and safety standards. Additionally, the system extends its protection to
125 outside workers, expanding the scope of health and safety management practices beyond the boundariesof the organisation.
Moreover, Datalogic requires all business partners to adhere to the Electronic Industry Citizenship Coalition (EICC)
Code of Conduct, ensuring safe working conditions, respect for workers, and ethical and sustainable businessactivity.

Prevention and management of risks
Health and safety supervision is a priority for all Group Companies. The practices focus on reporting, statistical
data analysis, and worker involvement with the goal of continuous performance improvement. Where required,contingency plans are drawn up to cover possible emergency scenarios; reporting of incidents is encouraged
through communication channels open to the entire corporate population.
Datalogic’s plants in Italy offer additional health services, disease prevention campaigns and access to medical
consultations to contribute to employee well-being.
In addition to legally mandated health services, employees can take advantage of free medical care that covers
medical consultations even if they are not work-related. All employees have access to a health care agreementthat includes examinations and treatments for a variety of conditions, accessible through online portals.
Additionally, with the support of dedicated software, Datalogic analyses and manages risks by preparing a Risk
Assessment Document (RAD) that complies with legal requirements and undergoes minimum six-monthly updates. Risk assessment documents are entirely drafted by the Health & Safety department and are signed by the
Employer, the Workers’ Safety Representative and the Medical Officer, who also manages health surveillance
activities. Reports are handled by the Workers’ Safety Representative, who is responsible for acknowledging andreporting all employee reports to the Health & Safety department, participating in risk assessment and taking
part in periodic meetings on worker health and safety issues.
In any case, workers can always refer to their supervisor, who is responsible for monitoring their work and reporting any dangerous situation to the Head of the Prevention and Protection Service.
In regions where an Occupational Health and Safety Management System is not in place, Datalogic has established Health & Safety committees composed of members of the Human Resources and Operations departments

78   Datalogic Groupthat share and evaluate aspects related to worker health and safety, as well as take measures to manage identified risks. They are also responsible for defining, implementing and monitoring actions to improve and manage
any emergency situations at the national or international level.
In 2023, 22 minor accidents were recorded. Compared to 2022, therefore, the annual frequency rate increased
and stands at 3.7. Most of the accidents occurred due to accidental falls or collisions.
Workplace accidents
2023

2022

2021

Employees

External
workers

Employees

External
workers

Employees

External
workers

Number of deaths

0

0

0

0

0

0

Number of serious accidents

0

0

0

0

0

0

Number of total accidents28

19

3

11

1

8

3

5,363,160

622,925

5,501,434

957,5865,300,135

835,461

Frequency rate of serious accidents

0.00

0.00

0.00

0.00

0.00

0.00

Total accident frequency rate29

3.5

4.8

2.00

1.0

1.5

3.6

Total hours worked

The culture of safety
Attention to health and safety at Datalogic is critical to preserving the well-being of employees, but also to promoting a safe and productive work environment by reducing risks, ensuring business continuity, and consolidating a safety-oriented corporate culture.
All Group companies routinely conduct information and training activities on health and safety issues. These
activities are based on the results of risk assessments, internal or external monitoring, and critical events suchas near misses, accidents, or contextual circumstances. Courses are developed in accordance with current regulations in the relevant country.
Training programs are tailored to the level of risk associated with each job, providing an overview of Datalogic’s
operational risks, job-specific insights, knowledge of the rights and duties of workers, supervisors and managers, and procedures and measures for handling emergencies. Training takes place at the beginning of employment or when there is a change of job, during the introduction of new machinery or procedures, and is periodically updated.
Additionally, the Group organises specific courses on the use of Personal Protective Equipment and training initiatives dedicated to the use of particularly risky machinery, such as X-ray or laser machines.

As for Italy, commuting accidents are not included since they do not involve company-organized transportation.
Accidents that generate: death, work incapacity (absolute or partial), limitations in transfers, medical treatment, first aid intervention are
included, even if they do not generate days of absence from work. Commuting accidents with cars owned by the employee are excluded.
Frequency rates for accident indices were calculated as follows: (Number of accidents/Number of hours worked) x 1,000,000.
28
29

Datalogic Group   79

2023 Non-Financial Statement

Methodological Note[GRI 2-1] [GRI 2-2] [GRI 2-3] [GRI 2-5] [GRI 2-29]

The Datalogic Group, in accordance with the provisions of Article 5 (3) (b) of Legislative Decree 254/2016, has
prepared this Consolidated Non-Financial Statement, hereinafter NFS, which is a separate report from the Reporton Operations.
The publication of the NFS is on an annual basis and includes a comparison with information provided in prioryears, when meaningful. This NFS refers to year 2023 (January 1, 2023 - December 31, 2023). When available, comparisons are made with key data from the previous two years (2022 and 2021) to provide an overview
of Datalogic Group’s performance over time. This NFS includes Datalogic S.p.A. (Parent Company) and all fully
consolidated companies within the Consolidated Financial Statements (in the document, the terms “Datalogic
Group”, “Group”, and “Datalogic” identify the entire consolidation scope).

Subsidiaries

Registered office% ownership

Datalogic S.p.A.

Bologna - Italy

Parent Company

Datalogic IP Tech S.r.l.

Bologna - Italy

100%

Datalogic S.r.l.

Bologna - Italy

100%

Datasensig S.r.l

Modena - Italy

100%

Pekat S.r.l.

Bologna - Italy

100%

Datalogic Real Estate France Sas

Courtabeuf Cedex - France

100%

Datalogic Real Estate UK Ltd.

Redbourn - United Kingdom of Great Britain

100%

Wasp Barcode Technologies Ltd.

Redbourn - United Kingdom of Great Britain

100%

Datalogic Hungary Kft

Balatonboglar - Hungary

100%

Datalogic Slovakia S.r.o.

Trnava - Slovakia

100%

Datalogic Scanning Eastern Europe GmbH

Langen - Germany

100%

Datasensing Ibérica, S.A.U.

Barcelona - Spain

100%

Italy

Europe80   Datalogic GroupSubsidiaries

Registered office% ownership

Informatics Holdings, Inc

Plano Texas - USA

100%

Datalogic USA Inc

Eugene OR - Usa

100%

Datalogic do Brazil Comercio de Equipamentos e Automacao Ltda

Sao Paulo - Brazil

100%

Datalogic Technologias de Mexico S. de R.L. de C. V.

Colonia Cuauhtemoc - Mexico

100%

Datalogic (Shenzhen) Industrial Automation Co. Ltd.

Shenzhen - China

100%

Datalogic Vietnam LLC

Ho Chi Minh - Vietnam

100%

Datalogic Singapore Asia Pacific Pte Ltd.

Singapore100%

M.D. Micro Detectors (Tianjin) Co. Ltd.

Tianjin - China

100%

Datalogic Japan Co., Ltd.

Tokyo - Japan

100%

Suzhou Mobydata Smart System Co. Ltd.

Suzhou, JiangSu - China

51%

Mount Waverley (Melbourne) - Australia

100%

Americas

Asia

Oceania
Datalogic Australia Pty Ltd

The document was prepared in accordance with the Global Reporting Initiatives (GRI) Standards: in accordance
option.
Additionally, the document contains disclosures related to the new business analysis requirements arising fromthe European Taxonomy on Sustainable Finance (EU Regulation 2020/852), applicable to the Datalogic Group in
2023.
Pursuant to Article 8 of EU Regulation 2020/852, the document reports the proportion of the Group’s sales,
investments and operating costs pertaining to eligible economic activities and aligned with regard to climatechange mitigation and adaptation objectives. Voluntarily, and in conjunction with the mandatory reporting for2023 concerning the environmental objectives outlined in Article 10 c.6 of EU Delegated Regulation 2021/2178,
as stipulated in Regulation 2020/852, the Group has also disclosed in the NFS, in addition to eligibility, the alignment of its economic activities with these objectives.
It should also be noted that the disclosure required by Article 8 (6) and (7) of EU Delegated Regulation 2021/2178
is not applicable, as the Group does not operate in nuclear energy/fossil gas related business sectors and therefore has not identified eligible/aligned activities in these areas.
Moreover, the reporting scope for environmental data and information is annually determined through an evaluation of the sites’ significance concerning their environmental impact. Sites that solely engage in office activities
with minimal personnel presence are excluded from this assessment. The environmental data collected andreported in this NFS refer to the following locations: Monte San Pietro, BO (Italy); Castiglion Messer Raimondo, TE (Italy); Lippo di Calderara, BO (Italy);

Datalogic Group   81

2023 Non-Financial Statement

 Trnava - Slovakia;
 Balatonboglár (Hungary); Ho Chi Minh (Vietnam); Eugene (USA); Hatfield (USA);
 Plano (USA); Modena (Italy).
It is also noted that Suzhou Mobydata Smart System Co. Ltd. (a 51% owned subsidiary) was included in the reporting scope only for the purposes of the indicators related to the workforce and worker health and safety, as it
was not relevant to understanding the impacts of the Group’s activities in relation to the other areas covered by
Legislative Decree 254/2016 or in any case to the reporting of the issues identified as material for the purposesof this NFS30.
Regarding the information mandated by Article 3, paragraph 2 of Legislative Decree 254/16, it is important tonote that, considering the business sector, such details were deemed irrelevant for facilitating understanding of
the business activity:
 group water consumption considering both offices and manufacturing sites since they do not involve significant water use; pollutant emissions other than greenhouse gas emissions as the generation of these emissions in the production cycle is negligible.
Datalogic has defined the relevant aspects in terms of impacts through a materiality analysis process outlined in
the section “Materiality Analysis”.
The materiality analysis and preparation of this document were coordinated and supervised by Datalogic’s inhouse sustainability working group. The collection of information and related data was performed in collaboration with all Group departments, each for the activities under its remit, forming a timely and comprehensive
information flow that ensured the solidity of the reporting model.
The NFS is also subject to limited assurance engagement, according to the criteria indicated in ISAE 3000 Revised, by Deloitte & Touche S.p.A..
The limited review of this NFS carried out by the Independent Auditors Deloitte & Touche S.p.A. does not extend
to the disclosure required by the regulations on the so-called “EU Taxonomy” (EU Regulation 2020/852 and its
Delegated Regulations) - refer in this regard to the section “The European Taxonomy”.
For further information or questions, please visit:https://www.datalogic.com/eng/company/company-overview/sustainability-co-9697.html
or write to anna.pierangeli@datalogic.com
Compared to the 2021 NFS, the following companies have been brought into the reporting scope: PEKAT S.r.o. (now Pekat S.r.l), theacquisition of which was completed on March 21, 2022 through the subsidiary Datalogic S.r.l. and Datalogic Japan Co., Ltd. incorporated on
December 6, 2021.
3082   Datalogic GroupApproved by the Board of Directors on 14/03/2024
Knowledge Partner: The European House-Ambrosetti

Datalogic Group   83

2023 Non-Financial Statement

GRI Table of ContentsStatement of Use

Datalogic has reported in accordance with GRI Standards for the period 01.01.2023-31.12.2023

GRI 1 used

GRI 1 - Foundation - 2021

Relevant GRI sector standards

Not applicable

GRI STANDARDDISCLOSURE

LOCATIONOMISSIONOMITTEDREASONREQUIREM.

GENERAL DISCLOSURES
2-1 Organisational details
GRI 2 - General
Disclosures - 2021
2-2 Entities included in theorganisation's sustainability
reporting§ Group Profile§ Methodological Note

2-3 Reporting period, frequency
and contact point§ Methodological Note

2-4 Restatements of information§ No information restatements
were made2-5 External assurance§ Assurance Letter

2-6 Activities, value chain andother business relationships§ Group Profile

2-7 Employees§ Breakdown of staff

2-8 Workers who are not
employees§ Breakdown of staff

2-9 Governance structure andcomposition§ Board of Directors andstatutory bodies

2-10 Nomination and selection of
the highest governance body

§ Board of Directors andstatutory bodies

2-11 Chair of the highest
governance body

§ Board of Directors andstatutory bodies

2-12 Role of the highest§ Board of Directors andgovernance body in overseeing the statutory bodies
management of impacts
2-13 Delegation of responsibility
for managing impacts

84   Datalogic Group§ Board of Directors andstatutory bodies

EXPLANATIONOMISSION
N. OF REF.
GRI SECTOR
STANDARD

GRI STANDARDDISCLOSURE

LOCATIONOMISSIONOMITTEDREASONREQUIREM.

GRI 2 - General
2-14 Role of the highest
Disclosures - 2021 governance body in sustainability
reporting

EXPLANATIONOMISSION
N. OF REF.
GRI SECTOR
STANDARD§ Board of Directors andstatutory bodies

2-15 Conflicts of interest§ Risk assessment andmanagement

2-16 Communication of criticalconcerns§ Organisational, management
and control model

2-17 Collective knowledge of thehighest governance body

§ Board of Directors andstatutory bodies

2-18 Evaluation of the performance § Board of Directors andof the highest governance bodystatutory bodies
2-19 Remuneration policies§ Remuneration policy

2-20 Process to determine
remuneration§ Remuneration policy

2-21 Annual total compensation
ratio§ Remuneration policy

2-22 Statement on sustainable
development strategy§ Letter to Stakeholders

2-23 Policy commitments§ Responsible business conduct

2-24 Embedding policy
commitments§ Responsible business conduct;§ Certified management
systems

2-25 Processes to remediate
negative impacts§ Risk assessment andmanagement

2-26 Mechanisms for seeking
advice and raising concerns§ Organisational, management
and control model

2-27 Compliance with laws andregulations§ Fair tax practices

2-28 Membership associations

Datalogic is a member of majorindustry organisations, including
ANIE (Federation of National
Electrical and Electronics
Companies) and CNA (National
Confederation of Craft andSmall and Medium Companies),
Confartigianato Area Nord,
Confindustria and Assonime

2-29 Approach to stakeholder
engagement§ Materiality analysis

2-30 Collective bargaining
agreements§ Breakdown of staff

Datalogic Group   85

2023 Non-Financial Statement

GRI STANDARDDISCLOSURE

LOCATIONOMISSIONOMITTEDREASONREQUIREM.

EXPLANATIONOMISSION
N. OF REF.
GRI SECTOR
STANDARD

MATERIAL TOPICSGRI 3 - Material
Topics - 2021

3-1 Guidance to determinematerial topics§ Materiality analysis

3-2 List of material topics§ Materiality analysis

RESEARCH, DEVELOPMENT AND INNOVATIONGRI 3 - Material
topics - 2021

3-3 Management of material
topics§ Research and innovation

N/A

3-3 Management of material
topics§ Product quality and safety andCustomer centricity

N/A

416-1 Assessment of the healthand safety impacts of product andservice categories§ Product quality and safety andCustomer centricity

N/A

416-2 Incidents of non-compliance § Product quality and safety andCustomer centricity
concerning the health and safety
impacts of products and services

N/A

PRODUCT QUALITY AND SAFETY
GRI 3 - Material
topics - 2021

GRI 416 Customer
health and safety- 2016

GRI 416 Customer healthand safety - 2016RESPONSIBLE SUPPLY CHAIN
GRI 3 - Material
topics - 2021

3-3 Management of material
topics§ Responsible supply chain

N/A§ Responsible supply chain

N/A

3-3 Management of material
topics§ Responsible supply chain

N/A

414-1 New suppliers that werescreened using social criteria§ Responsible supply chain

N/A

GRI 308 - Supplier308-1 New suppliers that wereenvironmental
assessment - 2016 screened using environmental
criteria
GRI 3 - Material
topics - 2021

GRI 414 Supplier social
assessment 201686   Datalogic GroupGRI STANDARDDISCLOSURE

LOCATIONOMISSIONOMITTEDREASONREQUIREM.

EXPLANATIONOMISSION
N. OF REF.
GRI SECTOR
STANDARDRESPONSIBLE BUSINESS CONDUCTGRI 3 - Material
topics - 2021

3-3 Management of material
topics§ Responsible business conduct

N/A

GRI 201 - Economic 201-1 Direct economic value
Performance generated and distributed
2016§ Economic results and value
generated and distributed

N/A

GRI 205 Anticorruption 2016

205-3 Confirmed incidents ofcorruption and actions taken§ Organisational, management
and control model

N/A

GRI 206 - Anticompetitive
behaviour - 2016

206-1 Legal actions for anticompetitive behaviour,
antitrust, and monopoly
practices§ Organisational, management
and control model§ Fair tax practices

N/A

GRI 207 - Tax 2019

207-1 Approach to tax§ Fair tax practices

N/A

207-2 Tax governance, control and § Fair tax practices
risk management

N/A

207-3 Stakeholder engagement
and management of concerns
related to tax§ Fair tax practices

N/A

207-4 Country-by-country
reporting§ Fair tax practices

N/A

GRI 406 - Nondiscrimination- 2016406-1 Incidents of discriminationand corrective actions taken§ Breakdown of staff

N/A

GRI 408 - Childlabour - 2016408-1 Operations and suppliers
at significant risk for incidents ofchild labour

Based on the procedures
and the the records relating
to supplier management, nosignificant risk is reported on
the use of child labour at theGroup’s main suppliers

N/A

GRI 409 - Forced or 409-1 Operations and suppliers
compulsory labour at significant risk for incidents of- 2016
forced or compulsory labour

Based on the procedures andrecords related to suppliermanagement, no significant
risk is reported on the use offorced or compulsory labourat the Group’s main suppliers

N/A

Datalogic Group   87

2023 Non-Financial Statement

GRI STANDARDDISCLOSURE

LOCATIONOMISSIONOMITTEDREASONREQUIREM.

EXPLANATIONOMISSION
N. OF REF.
GRI SECTOR
STANDARDCUSTOMER CENTRICITYGRI 3 - Material
topics - 2021

3-3 Management of material
topics§ Product quality and safety andCustomer centricity

N/A

GRI 416 Customer
health and safety- 2016416-1 Assessment of the healthand safety impacts of product andservice categories§ Product quality and safety andCustomer centricity

N/A

GRI 416 Customer healthand safety - 2016416-2 Incidents of non-compliance § Product quality and safety andconcerning the health and safety
Customer centricity
impacts of products and services

N/A

SUSTAINABILITY OF MATERIALSGRI 3 - Material
topics - 2021

3-3 Management of material
topics§ Sustainability of materials

GRI 300 - Materials 301-1 Materials used by weight or § Sustainability of materials- 2016
volume301-2 Recycled input materials
used§ Sustainability of materials

N/A

301-1aInformation not Data currently
available
unavailable atGroup level;in 2024, theCompany
will consider
actions to betaken regarding
reporting onmaterials used

N/A

301-2aInformation not Data currently
available
unavailable atGroup level;in 2024, theCompany
will consider
actions to betaken regarding
reporting onmaterials used

N/A

WORKER HEALTH AND SAFETY
GRI 3 - Material
topics - 2021

3-3 Management of material
topics§ Worker health and safety

N/A

GRI 403 Occupational
health and safety- 2018403-1 Occupational health andsafety management system§ Worker health and safety

N/A

403-2 Hazard identification,risk assessment and incident
investigation§ Worker health and safety

N/A

88   Datalogic GroupGRI STANDARDDISCLOSURE

LOCATIONOMISSIONOMITTEDREASONREQUIREM.

GRI 403 Occupational
health and safety- 2018EXPLANATIONOMISSION
N. OF REF.
GRI SECTOR
STANDARD403-3 Occupational health services § Worker health and safety

N/A

403-4 Worker participation,
consultation, and communication
on occupational health and safety§ Worker health and safety

N/A

403-5 Worker training on
occupational health and safety§ Worker health and safety

N/A

403-6 Promotion of worker health § Worker health and safety

N/A

403-7 Prevention and mitigation§ Worker health and safetyof occupational health and safety
impacts directly linked by business
relationships

N/A

403-8 Workers covered by an
occupational health and safety
management system§ Worker health and safety

N/A

403-9 Work-related injuries§ Worker health and safety

N/A§ Energy and emissions

N/A

GRI 302 - Energy - 302-1 Energy consumption within
2016
the organisation§ Energy and emissions

N/A

GRI 305 Emissions 2016305-1 Direct (Scope 1) GHG
Emissions§ Energy and emissions

N/A

305-2 Indirect (Scope 2) GHG
Emissions§ Energy and emissions

N/A

ENERGY AND EMISSIONSGRI 3 - Material
topics - 2021

GRI 305 Emissions- 2016

3-3 Management of material
topics305-3 Other Indirect (Scope 3) GHG
Emissions305-3 a.;305-3 b.;305-3 c.;305-3 d.;305-3 e.;305-3 f.;
305-3 gN/A
Information not The information
available
required to
calculate indirect
GHG emissions(Scope 3)
is currently
unavailable dueto the complexityof the value chain.
The Company willconsider actions
to be taken in
2024 regarding
Scope 3 reporting.

Datalogic Group   89

2023 Non-Financial Statement

GRI STANDARDDISCLOSURE

LOCATIONOMISSIONOMITTEDREASONREQUIREM.

EXPLANATIONOMISSION
N. OF REF.
GRI SECTOR
STANDARDPEOPLE WELL-BEING
GRI 3 - Material
topics - 2021

3-3 Management of material
topics§ People well-being

GRI 401 Employment 2016

401-1 New employee hires andemployee turnover§ Enhancement and internal
growthN/A

401-2 Benefits provided to fulltime employees§ Listening and well-being

N/A

404-1 Average hours of training
per year per employee§ Skills development

N/A

404-2 Programs for upgrading
employee skills§ Skills development

N/A

404-3 Percentage of employees§ Skills development
receiving regular performance andcareer development reviews

N/A

GRI 404 -Training
and Education 2016

GRI 405 - Diversity 405-1 Diversity of Governance and § Board of Directors andand equal
employees
statutory bodies;
opportunities - 2016
§ Enhancement and internal
growth

-

N/A

N/A

WASTE
GRI 3 - Material
topics - 2021

3-3 Management of material
topics§ WasteN/A

GRI 306 Waste - 2020306-1 Waste generation andsignificant waste-related impacts§ Waste

N/A

306-2 Management of significant
waste-related impacts§ WasteN/A

306-3 Waste generated§ WasteN/A90   Datalogic GroupDatalogic Group   91

2023 Non-Financial Statement

Independent Auditors Reports
Deloitte & Touche S.p.A.
Piazza Malpighi, 4/2
40123 Bologna
ItaliaDeloitte & Touche S.p.A.
Piazza Malpighi, 4/2
Tel:+39Bologna
051 65811
40123
Fax:
Italia+39 051 230874
www.deloitte.it
Tel: +39 051 65811
Fax: +39 051 230874
www.deloitte.it

INDEPENDENT AUDITOR’S REPORTON THE CONSOLIDATED NON-FINANCIAL STATEMENT PURSUANT TO ARTICLE 3,
PARAGRAPH 10 OF LEGIN
ISDLAED
NIoT.O2R5’4S ROEFPDOERCTEMBER 30, 2016, AND
EPTIEVNEDDEENCTRAEU
5 LOIDFACTOEN
AC
TIIO
18ARTICLE 3,
ON THE CAORNTS. O
DSNOOBNR-EFG
INUALNALNSNT.A2T0E2M6E7NOTFPJUARNSUUAARNYT2T0O
PARAGRAPH 10 OF LEGISLATIVE DECREE No. 254 OF DECEMBER 30, 2016, AND
ART. 5 OF CONSOB REGULATION N. 20267 OF JANUARY 2018
To the Board of Directors of
Datalogic S.p.A.
To the Board of Directors of
Pursuant
Datalogicto
S.particle.A. 3, paragraph 10, of the Legislative Decree no. 254 of December 30, 2016 (hereinafter“Decree”) and to article 5, paragraph 1, letter g) of the CONSOB Regulation n. 20267/2018, we havecarriedouttoaarticle
limited3,assurance
on the Consolidated
Non-Financial
Statementof(hereinafter
Datalogic
Pursuant
paragraphengagement
10, of the Legislative
Decree no. 254
of December
30, 2016
S.p.A.
andits
subsidiaries(hereinafter“Datalogic
Group”
or“Group”)
asofDecember
31,
2023
prepared“Decree”) and to article 5, paragraph 1, letter g) of the CONSOB Regulation n. 20267/2018, we have
on
the
basis
of
art.
4
of
the
Decreeandapproved
by
the
Board
of
Directors
on
March
14,
2024
carried out a limited assurance engagement on the Consolidated Non-Financial Statement of Datalogic(hereinafter
S.p.A. and its“NFS”).
subsidiaries (hereinafter “Datalogic Group” or “Group”) as of December 31, 2023 preparedon the basis of art. 4 of the Decree and approved by the Board of Directors on March 14, 2024
Our
limited assurance(hereinafter“NFS”). engagement does not extend to the information required by art. 8 of theEuropean Regulation 2020/852 included in the paragraph “European Taxonomy”.
Our limited assurance engagement does not extend to the information required by art. 8 of the
REuropeanesponsibiRegulationlity of the D2020/852
irectors anincluded
d the Boinardtheof paragraph
Statutory A“European
uditors forTaxonomy”.
the NFS
The
RespDirectors
onsibilityareof tresponsible
he Directorsfor
anthe
d thpreparatione Board of Stof
atthe
utorNFSy Auinditaccordanceors for the Nwith
FS articles 3 and 4 of theDecree and the “Global Reporting Initiative Sustainability Reporting Standards” established by GRI Global
Reporting(hereinafter“GRI Standards”),
which
they have identified
as reporting
The Directors
areInitiative
responsible
for the preparationof the NFS
in accordancewith articles
3 and 4 of theframework.
Decree and the “Global Reporting Initiative Sustainability Reporting Standards” established by GRI Global Reporting Initiative (hereinafter “GRI Standards”), which they have identified as reporting
The
Directors are also responsible, within the terms established by law, for such internal control as theyframework.
determine is necessary to enable the preparation of NFS that is free from material misstatement,
whetherdue toarefraud
error.
The Directors
alsoorresponsible,
within the terms established by law, for such internal control as they
determine is necessary to enable the preparation of NFS that is free from material misstatement,
The
Directors
arefraud
moreoverresponsible for defining the contents of the NFS, within the topics specified
whetherdue toor error.
in article 3, paragraph 1, of the Decree, taking into account the activities and characteristics of theGroup,and to are
the moreover
extent necessary
in orderto ensurethe
thecontents
understandingof theGroup’s
activities,
its
The Directors
responsiblefor definingof the NFS,
withinthe topics
specifiedtrends,performancethetherelatedimpacts.
in article
3, paragraphand1, ofDecree,taking into account the activities and characteristics of theGroup, and to the extent necessary in order to ensure the understanding of the Group’s activities, its
Finally,
Directors aredefining the business management model and the organisation
trends, theperformance
andresponsible
the related for
impacts.
of the Group’s activities as well as, with reference to the topics detected and reported in the NFS, for thepolicies
pursuedby theand forfor
identifying
managingmanagement
the risks generated
or undertakenby theFinally, theDirectors
areGroup
responsible
defining andthe businessmodel andthe organisation
Group.
of the Group’s activities as well as, with reference to the topics detected and reported in the NFS, for thepolicies pursued by the Group and for identifying and managing the risks generated or undertaken by the
The
Board of Statutory Auditors is responsible for overseeing, within the terms established by law, theGroup.
compliance with the provisions set out in the Decree.
The Board of Statutory Auditors is responsible for overseeing, within the terms established by law, thecompliance with the provisions set out in the Decree.
Ancona Bari Bergamo Bologna Brescia Cagliari Firenze Genova Milano Napoli Padova Parma Roma Torino Treviso Udine Verona
Sede Legale: Via Tortona, 25 - 20144 Milano | Capitale Sociale: Euro 10.328.220,00 i.v.
Codice Fiscale/Registro delle Imprese di Milano Monza Brianza Lodi n. 03049560166 - R.E.A. n. MI-1720239 | Partita IVA: IT 03049560166
IlAncona
nome Deloitte
si riferiscea unaBresciao più delle
seguenti
entità:Deloitte
ToucheLimited,unaTorinosocietàTreviso
ingleseUdine
a responsabilità
Bari Bergamo
BolognaCagliariFirenze
GenovaMilanoNapoliTohmatsu
Padova Parma
Roma
Verona limitata (“DTTL”), le member firm aderenti al suo network e
le entità a esse correlate. DTTL e ciascuna delle sue member firm sono entità giuridicamente separate e indipendenti tra loro. DTTL (denominata anche “Deloitte Global”) non fornisce servizi ai
Sede Legale:
Tortona,
25 - 20144 Milano| Capitale
Euro 10.328.220,00
i.v.legale di Deloitte Touche Tohmatsu Limited e delle sue member firm all’indirizzo
clienti.
Si invitaVia
a leggerel’informativa
completa
relativa Sociale:
alla descrizionedella struttura
Codice Fiscale/Registro delle Imprese di Milano Monza Brianza Lodi n. 03049560166 - R.E.A. n. MI-1720239 | Partita IVA: IT 03049560166
www.deloitte.com/about.
Il nome
Deloitte
si riferiscea una o più delle seguenti entità: Deloitte Touche Tohmatsu Limited, una società inglese a responsabilità limitata (“DTTL”), le member firm aderenti al suo network e©
Deloitte& Touche
S.p.A.
le entità a esse correlate. DTTL e ciascuna delle sue member firm sono entità giuridicamente separate e indipendenti tra loro. DTTL (denominata anche “Deloitte Global”) non fornisce servizi aiclienti. Si invita a leggere l’informativa completa relativa alla descrizione della struttura legale di Deloitte Touche Tohmatsu Limited e delle sue member firm all’indirizzo
www.deloitte.com/about.
© Deloitte & Touche S.p.A.

92   Datalogic Group2

Auditor’s Independence and quality control
We have complied with the independence and other ethical requirements of the International Code of
Ethics for Professional Accountants (including International Independence Standards) (IESBA Code) issued
by the International Ethics Standards Board for Accountants, which is founded on fundamental principles
of integrity, objectivity, professional competence and due care, confidentiality and professional
behaviour.
During the year covered by this assurance engagement, our auditing firm applied International Standard
on Quality Control 1 (ISQC Italia 1) and, accordingly, maintained a comprehensive system of quality
control including documented policies and procedures regarding compliance with ethical requirements,
professional standards and applicable legal and regulatory requirements.
Auditor’s responsibility
Our responsibility is to express our conclusion based on the procedures performed about the complianceof the NFS with the Decree and the GRI Standards. We conducted our work in accordance with thecriteria established in the “International Standard on Assurance Engagements ISAE 3000 (Revised) –Assurance Engagements Other than Audits or Reviews of Historical Financial Information” (hereinafter“ISAE 3000 Revised”), issued by the International Auditing and Assurance Standards Board (IAASB) for
limited assurance engagements. The standard requires that we plan and perform the engagement toobtain limited assurance whether the NFS is free from material misstatement. Therefore, the procedures
performed in a limited assurance engagement are less than those performed in a reasonable assurance
engagement in accordance with ISAE 3000 Revised, and, therefore, do not enable us to obtain assurance
that we would become aware of all significant matters and events that might be identified in areasonable assurance engagement.
The procedures performed on NFS are based on our professional judgement and included inquiries,
primarily with company personnel responsible for the preparation of information included in the NFS,
analysis of documents, recalculations and other procedures aimed to obtain evidence as appropriate.
Specifically, we carried out the following procedures:
1. analysis of relevant topics with reference to the Group’s activities and characteristics disclosed in the
NFS, in order to assess the reasonableness of the selection process in place in light of the provisionsof art.3 of the Decree and taking into account the adopted reporting standard;
2. analysis and assessment of the identification criteria of the consolidation area, in order to assess its
compliance with the Decree;
3. comparison between the financial data and information included in the NFS with those included in
the consolidated financial statements of the Datalogic Group;
4. understanding of the following matters:• business management model of the Group’s activities, with reference to the management of the
topics specified by article 3 of the Decree;

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2023 Non-Financial Statement3• policies adopted by the entity in connection with the topics specified by article 3 of the Decree,achieved results and related fundamental performance indicators;• main risks, generated and/or undertaken, in connection with the topics specified by article 3 of theDecree.
Moreover, with reference to these matters, we carried out a comparison with the information
contained in the NFS and the verifications described in the subsequent point 5, letter a);
5. understanding of the processes underlying the origination, recording and management of qualitativeand quantitative material information included in the NFS.
In particular, we carried out interviews and discussions with the management of Datalogic S.p.A. andwith the employees of Datalogic S.r.l., Datasensing S.r.l., Datalogic Hungary KFT and Datalogic
Vietnam LLC and we carried out limited documentary verifications, in order to gather information
about the processes and procedures which support the collection, aggregation, elaboration andtransmittal of non-financial data and information to the department responsible for the preparationof the NFS.
In addition, for material information, taking into consideration the Group’s activities andcharacteristics:• at the parent company’s and subsidiaries’ level:a) with regards to qualitative information included in the NFS, and specifically with reference tothe business management model, policies applied and main risks, we carried out interviews
and gathered supporting documentation in order to verify its consistency with the available
evidence;b) with regards to quantitative information, we carried out both analytical procedures and limited
verifications in order to ensure, on a sample basis, the correct aggregation of data;• for the following companies and sites, Monte San Pietro (BO) production site for Datalogic S.r.l.,
Modena production site for Datasensing S.r.l., Balatonboglar (Hungary) production site for
Datalogic Hungary KFT and Ho Chi Minh City (Vietnam) production site for Datalogic Vietnam LLC,
which we selected based on their activities, their contribution to the performance indicators at theconsolidated level and their location, we carried out site visits or remote meetings, during which
we have met their management and have gathered supporting documentation with reference tothe correct application of procedures and calculation methods used for the indicators.
Conclusion
Based on the work performed, nothing has come to our attention that causes us to believe that the NFSof the Datalogic Group as of December 31, 2023 is not prepared, in all material respects, in accordancewith articles 3 and 4 of the Decree and the GRI Standards.

94   Datalogic Group4

Our conclusion on the NFS of the Datalogic Group does not extend to the information required by art. 8of the European Regulation 2020/852 included in the paragraph “European Taxonomy”.
DELOITTE & TOUCHE S.p.A.
Signed by
Silvia Dallai
Partner
Bologna, Italy
March 27, 2024

This report has been translated into the English language solely for the convenience of international readers.

Datalogic Group   95

Datalogic Headquarter
Via Candini, 240012 Lippo di Calderara di Reno
(BO) - Italy
Tel. +39 051 3147011
Fax +39 051 3147205
www.datalogic.com

Datalogic Group   97

2023 Non-Financial Statement98   Datalogic Group