bluuebunny/crossref_metadata_2025 huggingface dataset:
The Impact of Cultural Change: A Transdisciplinary Engineering Case Study
Authors: Beattie Harley , Newnes Linda B. , Dhokia Vimal , Nickerson David , Crabtree Paul
Published: November 2023

Engineering Change Management (ECM) is a complex process requiring transdisciplinary working across the entire business and product lifecycle. Core to achieving successful transdisciplinary working are collaborative teams focusing on a common goal. However, much of the research and studies presented tend to be academic in nature and often focused on education and health, with a small number of papers providing industrial engineering examples. In this paper, we present an Engineering Change Management case study of a small UK-based automotive business and reflect on the importance of a transdisciplinary engineering approach. We place focus on the importance of social sciences, people and culture, in gaining success i.e. a people-focused approach to ECM. We hypothesized that by using a transdisciplinary approach where people and culture were key, we could accelerate the Engineering Change Management process. Within this paper, we introduce ECM and Quick Release’s role in assisting companies with their engineering change management processes. This is followed by a summary of the case study context and the two-phased approach to the analysis; Diagnostic (Phase 1) and Acceleration sprint (Phase 2). The results of the case study estimated a process throughput increase of a factor of three and a reduction in ECM process time from a 64-day average to approximately 22 days. This eliminated a potential 8-week program delay, valued at over ˇc5 million in engineering costs alone for the case study company.
Connect Your Smart Manufacturing via Smart Work: A Single-Case Study from the Renewable Energy Industry
Authors: Clausen Pernille , Vrabéc David , Mathiasen John Bang
Published: November 2023

The evolvement of new-generation information technologies, such as the Industrial Internet of Things (IIoT), is bringing today’s production systems nearer the Industry 4.0 (I4.0) agenda, to why manufacturers have invested heavily in new equipment to become smarter in the way of working. While the development of organizational capabilities to support these investments is showing slow progress, practitioners are having difficulty getting their manufacturing connected using I4.0 technologies as they provide a limited understanding of how to balance the interrelation of the variables within their sociotechnical system configurations. To close this gap, this study presents a single-case study from the Renewable Energy Industry demonstrating how Smart Work principles (human-centric solutions) prove beneficial in balancing the social and technical variables for implementing IIoT technology in a production environment with a moderate number of I4.0 technologies implemented. By studying the company’s organizational capabilities through the lens of sociotechnical theory, our findings demonstrate that the complexity of implementing new technology is related to the difficulty of handling transdisciplinarity within the sociotechnical system.
Exploring the Adoption of UX-Driven Approaches to Design Industrial PLC User Interfaces
Authors: Peruzzini Margherita , Valentini Lorenzo , Tutarini Alessio , Bilancia Pietro , Raffaeli Roberto
Published: November 2023

Modern automated production systems (e.g., automatic machines, assembly lines, robotic cells) are typically governed by dedicated industrial controllers, such as Programmable Logic Controllers (PLCs), which supervise and coordinate the process by exchanging I/O data, sequencing tasks or triggering actions with the involved automation modules. Different solutions have been developed to offer an intuitive Human-Machine Interface (HMI) programming to the user, based on PLC HMI editors, according to vendor-specific programming languages. However, in the current industrial practice, user interfaces (UIs) are usually generated by software specialists and far from adopting any user-centered approach. As a result, the generated UIs are poorly usable and hard to understand for end users (e.g., operators), diverging from Industry 5.0 ideas that put humans at the center of the modern factory design. In this context, the present paper aims at exploring how the adoption of User eXperience (UX) driven approaches can benefit the design of industrial PLC UIs, reflecting on advantages and limits, and transdisciplinary perspectives. A case study utilizing Beckhoff TwinCAT as PLC environment and Adobe XD as UX design tool is examined and discussed.
Replenishment Policy and SKU Classification to Pod Assignment Design for Robotic Mobile Fulfillment System Performances
Authors: Chou Shuo-Yan , Hendrawan Edwin , Dewabharata Anindhita , Zulvia Ferani E.
Published: November 2023

Robotic Mobile Fulfillment System (RMFS) is a well-known automated parts-to-picker system that is highly suitable in a fast-moving warehouse for handling critical challenges in the e-commerce industry. Implementing this system in the e-commerce industry has been shown to boost the throughput compared with the traditional picker-to-parts picking system. Nevertheless, there are still several ways to increase the efficiency of the warehouse. Therefore, this study proposes product-to-Pod or SKU-to-Pod assignment and replenishment policies that can increase warehouse efficiency using a simulation approach. There are three SKU-to-pod assignment policies evaluated in this study. They are Random Assignments, One Pod One Class, and Mix Class One Pod assignments. In addition, four replenishment policies, including the Emptiest Pod, Pod Inventory Level, Warehouse Inventory-SKU in Pod, and Stockout Probability, are also simulated. The simulation results show that the Mix Class One Pod assignments combined with Warehouse Inventory-SKU in Pod is the best policy. The SKU-to-pod policy can improve pod utilization by increasing pick units in each visit. Pod with more SKU types is likely to fulfill more orders. The replenishment policy has the role of maintaining the inventory of the warehouse and keeping the pod at a high service level. Other than that, replenishment triggers reduced visits to the picking station. A pod with insufficient capacity could not be assigned with the new order, although it already has the most order assigned.
Applying Hybrid Machine Learning Models to Assist Small and Medium Enterprises in Achieving Quality Prediction and Adaptive Digital Transformation: A Case Study of Injection Molding Industry
Authors: Chiu Ming-Chuan , Huang Yu-Jui
Published: November 2023

With the rapid development of smart manufacturing in Industry 4.0, many companies, especially small and medium enterprises (SMEs), face the challenge of transformation. Compared to large corporations, SMEs often face more constraints in terms of resources and technology. Therefore, this study provides effective digital transformation strategies for SMEs. While previous research has utilized machine learning methods for product quality prediction, there is still a need for further exploration of digital transformation strategies that combine adaptability and quality prediction, specifically for SMEs. In this study, the injection molding industry is taken as a case study. A method framework is proposed, which combines feature selection using Xgboost, machine parameter prediction using GRU time series models, and quality classification models using SVM. This framework integrates these three methods to achieve quality prediction and adaptability as part of the digital transformation strategy. In the case study, this method framework demonstrates good accuracy in predicting machine parameters and yield. Furthermore, after the small and medium-sized enterprise adjusted their processes based on the optimization recommendations from this study, the process capability index improved significantly by 41%. In addition to the practical contributions mentioned above, this study fills the research gap in the field of quality prediction and adaptability. It provides an digital transformation strategy for SMEs manufacturing companies.
Using Collaborative Immersive Environments and Building Information Modeling Technology for Holistic Planning of Production Lines
Authors: Amann Sebastian , Beisheim Nicolai , Haefner Polina , Haefner Victor , Kastner Kevin , Mayer Anjela , Michels Felix Longge , Ott Tobias
Published: November 2023

Large and complex building projects need many different experts from different engineering disciplines for different matters. But these experts each use their own IT tools that produce a lot of heterogeneous data. This leads to a strong fragmentation of competencies, what causes problems for interdisciplinary collaboration, because the data might be inconsistent, redundant or there are no interfaces to combine the data. These problems in collaboration increase the risk of planning mistakes that might significantly impair the overall project success. So only one database should be used for all engineering tasks to improve the transdisciplinary collaboration. The Building Information Modelling (BIM) working methodology enables the digital collaboration of virtual production planning and architecture tasks for developing a building. By means of lean optimization in combination with early integration of future-oriented production facilities, process-relevant production data can be included in the planning phase before construction begins. This article presents a real time immersive 3D virtualization system using the digital twin of complex buildings with a modern production line as the single source of truth and creates a consistent integrated data model, that enables transdisciplinary collaboration of all involved engineering disciplines. In this way, a continuous comparison can be made between the real construction project and its digital twin in an interactive, intuitive and collaborative manner. The same model is also used by production planners to optimize the material flow and in general the value chain of a production line through a holistic planning, which brings many benefits for all stakeholders.
Developing an Intelligent Warning System to Detect Unsafe Driving Behaviors
Authors: Feng Pin-Rui , Hung Sheng-Po , Chen Yi-Husan , Chiu Ming-Chuan , Bai Zhe-Rui
Published: November 2023

At present, most studies only conduct individual studies on distraction or fatigue, but only discussing these two accident factors cannot fully explain and avoid all car accident factors. In addition, most of the current research and application of physiological information belongs to the follow-up analysis, and the application of physiological information is not realized in real time, and there is also a lack of intelligent warning system integrating computer vision and physiological information. In order to solve this problem and increase the application of real-time practical and physiological information, this study uses YOLOv5 computer vision for detection. In addition to considering distraction and fatigue, YOLOv5 also includes emotion as a factor (Alkinani et al., 2020), and through the real-time auxiliary judgment of physiological information (EEG, HRV), an intelligent warning system is established to more comprehensively explain the factors of traffic accidents. It also addresses the lack of integration of distraction, fatigue, and emotion in previous driving safety research. However, there is currently a lack of public datasets that integrate distraction, fatigue, and emotion for use in the field of automotive safety. Therefore, this study also builds a well-generalized dataset for training in a driving simulation environment. In the research, YOLOv5 of deep learning is used to image the driver’s facial and body movement characteristics, and through the real-time processing of physiological information, it can assist in detecting driving emotions and driving fatigue, and establish a personalized intelligent driving warning system. A more practical vehicle warning system for the driver.
A Flexible and Intelligent Production System for Process Planning and Enterprise Performance Optimization
Authors: Fernandes Ederson Carvalhar , Iaksch Jaqueline Sebastiany , Ferreira Tabor Sandro Jessé , Romanel Luiz Gustavo , Brown Liam , Borsato Milton
Published: November 2023

Many companies have been expending considerable efforts to continuously improve manufacturing processes to ensure their competitiveness and remain in the market. Value Stream Mapping is a strategic tool that makes it possible to visualize the macro of production to assist in planning and decision-making. It is a process mapping that considers the workflow of a product from the arrival of the raw material to the result that is delivered to the customer. Despite the benefits this tool has provided to organizations, the time for its development is still very high, as its data is still filled manually, allowing its analysis to be error-prone. Digital technologies have brought several improvements to the methods and tools of organizations. With the goal of obtaining contributions to engineering through transdisciplinary approaches to decision support tools and methods, therefore, this study will present the development of a dynamic web application using data analytics and machine learning to visualize, identify bottlenecks, predict, and update data in current and future state mappings. Intelligent systems tend to eliminate the routine activities of engineering, so this application will allow engineers and technicians to dedicate more time to dedicate themselves exclusively to activities that require a more challenging level of managerial decision-making.
Development of Collaborative Multi-Robotics Assembly System with Digital Twin Approach
Authors: Htet Oo Kyaw , Koomsap Pisut
Published: November 2023

Assembly may be an undesirable but unavoidable step for most manufacturers. Industrial robots are commonly used for repetitive tasks in large-scale mass production, but customized medium-sized products with wide variations in small batch production for robot-to-robot collaborative manipulation assembly tasks demand increased dexterity, which comes at a higher cost due to limited sensing capabilities. The utilization of collaborative robots or cobots in robot-to-robot collaborative in hand manipulation assembly tasks will not only enhance flexibility and dexterity but also provide cost-effectiveness. This paper presents the development of a collaborative multi robots assembly system with a digital twin approach to support robot-to-robot collaborative assembly process for various products with small batch sizes. A digital twin is adopted to enable human workers to supervise and train the collaborative multi-robotics assembly system virtually to determine the assembly sequences whenever new orders arrive without interrupting the operation of the physical system to minimize downtime for setting up the assembly line and commissioning process. Besides, image processing is applied to recognize parts that come to an assembly station in random orientations to provide flexibility during the physical assembly further.
Digital Twin Concept for Multi-Modal Door-to-Door Travel Monitoring
Authors: La Jiezhuoma , Bil Cees , Heiets Iryna , Lau Ken
Published: November 2023

To address the major issue of traveller frustration caused by delays or disruptions in their journey, this paper introduces a digital tool designed to assist travellers throughout their entire door-to-door travel experience. This tool monitors progress and warns travellers if a missed connection is anticipated so an alternative route can be chosen. Traveller satisfaction can be enhanced by tools that can provide personalized, up-to-date, and on-demand travel information. Consequently, there is a growing demand for an advanced digital travel model that can optimise travellers’ travel according to their own preference and monitors progress along the way. In this study, a multi-modal, door-to-door travel companion is introduced that can be accessed through personal devices like smartphones or tablets. By providing delay warnings and alternative options in advance, the door-to-door travel companion helps travellers achieve seamless door-to-door travel. The functionality of the model was evaluated through real-world case studies conducted as part of this study.
A Transdisciplinary Approach for Predicting and Tuning to Optimise Initial Business Performance Steady State in a Changing and Connected Environment
Authors: Trigos Federico , Aldana Carlos Mario
Published: November 2023

The first periods of a business venture are critical for long-term survival. Besides, no historical information is generally available to the decision-makers on key performance indicators (KPI, like revenue, profit, total cost, and expenses, among others), and significant capital is at risk. Still, decision-makers have some degrees of freedom in real-time decision-making (modification of marketing efforts, sales force, logistics, among others) depending on the behaviour of the venture KPIs. Still, no benchmark is generally available since, by definition, this is the first time the venture has run. If a benchmark mathematical function were available for KPIs behaviour, decision makers would make an informed real-time decision to achieve the best possible initial steady-state value, significantly improving the likelihood of long-term venture success. Using a transdisciplinary approach that involves control engineering techniques used for systems calibration, the contribution of this research is twofold: a) a transdisciplinary framework (a method that includes a ready-to-use decision support tool) to apply control engineering in this business environment to identify and improve the value of the settled point for the initial stage of the venture KPIs, b) two real practical business numerical set of instances (based on Initial Public Offerings experiences) to show the usefulness of the proposed method. By applying this approach, stakeholders (decision makers, financial service customers, and investors, among others) create greater value by predicting the initial steady state of a new business venture or environmental change by acting in real-time.
A Transdisciplinary Approach to the Academic Timetabling Problem
Authors: Trigos Federico , Coronel Roberto
Published: November 2023

Higher education institutions must decide every term a) which courses to offer along with the number of sections for each, and b) which professors will teach which subjects and sections in which facilities (classrooms, laboratories etc.). This challenge, known as Academic Timetabling, forms the operational backbone of every higher education institution. It involves optimising the use of the institution’s resources (academic programs, physical infrastructure, human and economic); safeguarding financial and academic performance; enhancing stakeholder satisfaction; and preserving the long-term reputation of the institution. While much of the existing academic literature offers quantitative models designed to optimise the use of infrastructure and human resources in benchmark problems, comprehensive industrial real-size applications are comparatively scant. The primary contribution of this article is not a new mathematical model or algorithm for solving timetabling problems. Instead, it introduces a transdisciplinary framework to address the literature gap on real-size instances. The framework serves as a decision support tool that considers all campus stakeholders (professors, students, university operations executives, department and program chairs, information technology, and corporate governance), all majors, and all facilities (classrooms, laboratories, etc.). The objective is to maximise the expected academic performance by assigning professors to courses, sections, and time slots that best align with their preferences and profile affinity; this is achieved through a quantitative model embedded in a broader, transdisciplinary approach. Moreover, the framework includes elements to guide its implementation. The paper provides an example of an industrial-size instance to illustrate the framework to benefit practitioners.
A Transdisciplinary Framework to Design Immersive Progressive Complexity Learning Experiences
Authors: Trigos Federico , Tamayo Francisco
Published: November 2023

The incorporation of immersive technologies in education is rising as they help students visualise abstract concepts and engage them with realistic or semi-realistic experiences. Learning experiences should be considered the backbone of an educational program, so they must be designed effectively. To prevent cognitive overload, students typically begin to work on complex problems starting with relatively simple-structured learning tasks, and, as their expertise, skill, and knowledge increase, they work on more complex endeavours to get the job done. Students in the early stages receive initial information, deep support, and guidance from the educator, and this assistance should gradually be reduced as students enhance their skills and knowledge. This work proposes that to accelerate the benefit of immersive technologies in education, instructors should use a transdisciplinary approach (considering all stakeholders, such as students, instructors, faculty, and industrial practitioners) to design immersive progressive complexity learning experiences along with dynamic guidance, appropriate support information, assessment, and feedback. The contribution of this work is twofold 1) a framework for the transdisciplinary design of immersive progressive complexity learning experiences, and 2) an illustrative instance of how to go from a simple learning task to a final complex-immersive challenge with limited additional support will be presented.
A Transdisciplinary Framework That Integrates Multi-Engaging Educational Tools in Active Learning Experiences to Enhance Student Critical Thinking
Authors: Trigos Federico , Pérez-González María Eloísa
Published: November 2023

On the one hand, engineering schools traditionally rely on tools like problem-solving and project-based learning for students to obtain the core knowledge and skills required by their majors. On the other hand, management and business schools usually rely on the case method and role-playing tools for the same purpose. Professors traditionally use several active tools (problem-based learning, project-based learning, the case method, among others) and lately (to attract millennial and centennial student attendance) supportive engagement tools (gaming and Storytelling, among others) to design educational activities. The main objective is to obtain a deeper student understanding of concepts and skills. Still, they typically use only one active or engagement tool in the targeted educational activity. These tools, by themselves, have positively impacted student topic comprehension and skill development. This work explores using a mix of active and engagement tools (designed on a case-by-case basis) within a single significant educational activity to obtain a deeper understanding of the management or engineering tool, the skills required to use it, and the potential consequences to stakeholders. The contribution of this work is twofold: a) a Transdisciplinary framework to design a multi-engaging educational experience, and b) an illustrative instance based on an operations management graduate course.
Problem-Based Learning in Marketing Engineer Course: A Case Study from Industrial Engineering Curriculum
Authors: Nitisiri Krissanarach , Jamrus Thitipong , Sethanan Kanchana , Chetchotsak Danaipong , Nakrachata-Amon Thawee
Published: November 2023

Problem-Based Learning (PBL) is an innovative and practical teaching approach in which students participate in real-world problems, which are complex and demanding. This approach offers a unique learning opportunity in an engineering curriculum and helps students apply their knowledge, develop critical-thinking and problem-solving skills, and work collaboratively. In a Marketing Engineer course, students can work on real-world marketing projects as part of PBL, where they apply the theories and concepts learned in the course to address a specific marketing challenge. The problem case study focuses on analyzing customer purchasing behavior based on student group selections. The students collect and analyze data, identify key segments, and design marketing strategies for a specific product or service through surveys and questionnaires. This practical learning approach allows students to understand the concept of customer loyalty programs while improving their critical-thinking, problem-solving, and teamwork abilities. The poster presentation provides a platform for students to showcase their learning and understanding of marketing engineering in practice that shows to analyze customer purchase behavior data, identify key segments, and marketing strategies. The effectiveness of PBL as a teaching approach in the Marketing Engineer course is analyzed using various data analytics methods. The results show that PBL can be a valuable approach for teaching marketing engineering and can lead to positive outcomes for students. The hands-on learning experience and the real-world projects provide students with a practical and engaging learning environment, which can have a lasting impact on their understanding of the subject. In conclusion, PBL is a valuable approach for teaching marketing engineering and can result in positive outcomes for students.
The Challenges of Conducting Transdisciplinary Engineering Research: A Case Study of the Made Smarter Innovation: Centre for People-Led Digitalisation
Authors: Lattanzio Susan , Goh Yee Mey , Houghton Robert , Newnes Linda
Published: November 2023

In order to meet growing complexity in societal and industrial requirements for engineering projects, there is a growing need for research projects that transcend traditional single discipline silos. Widespread experience and a growing academic literature suggest that there are inherent challenges in conducting transdisciplinary research together with further issues arising from institutional barriers, working across diverse teams, and an evolving industrial and funding environment. Failure to engage with these issues may be remiss in discouraging future projects or negatively impacting the success and influence of extant transdisciplinary engineering endeavours. Within this paper we present a case study of the Made Smarter Innovation: Centre for People-Led Digitalisation, a £5 million, engineering led, transdisciplinary research Centre. The approach of the Centre – governance, and research centre design – are presented and through a workshop, the Centre’s Principal Investigators reflected upon common challenges and how management and design of the Centre might have mitigated these issues. Conclusions find that strategies employed in the design of the Centre have alleviated some common challenges to transdisciplinary research, however, integration of senior academics and the lack of broad organisational oversight within non-academic key contacts can be problematic. Future work will look to expand the study and incorporate the perspectives of researchers working within the Centre.
Global Patent Technology Portfolio Study of Agricultural UAV Innovations
Authors: Trappey Amy J.C. , Lin Joseph G.B. , Chen Kevin H.K. , Chen Mickey M.C.
Published: November 2023

With the rapid development of technologies, unmanned aerial vehicles (UAVs), commonly called drones, will become affordable with a wide variety of applications. UAV technologies in agriculture are critically important due to climate changes and the continuous growth of global populations that need huge food production. Demand for food and produce is increasing, while agricultural labor forces continue to decline. According to a report presented by The World Bank, the percentage of the global workforce related to agriculture has already fallen from 40% in 2000 to 27% in 2019. To plant efficiently and manage agricultural labor issues, many countries are investing in agricultural UAV technologies and applications. By analyzing the patent portfolio of UAV-related technologies for agricultural applications, this technology mining research helps to discover the critical trends and potentials of agricultural UAV development. This study demonstrates the crucial necessity of transdisciplinary engineering practices that are closely related to precision, automation, and even intelligent agricultural activities and productions. We identify the transdisciplinary domain knowledge ontology schema, i.e., the integrated agriculture, UAV-related technologies and their sub-technologies. These domain patents are searched and found using intelligent patent text analysis techniques. Finally, a strategic agricultural UAV R&D plan is presented to promote precision farming with high efficiencies and profitability (e.g., Taiwan farmers focus on organic farming, quality excellence of produce, and happy agriculture) using innovative UAV technologies.
Opportunities and Challenges for Drone Industries in Thailand
Authors: Suraratchai Monchai , Arundachawat Panumas , Kitikun Medhawin
Published: November 2023

Drone or Unmanned Aerial Vehicle (UAV) industry has continuously and rapidly grown. Predictably, exponential growth in the Asian market in this coming decade is expected. Globally, drone technologies and applications in the industry have extensively expanded into government and enterprise usages such as structural inspection, safety surveillance, survey and 3D mapping, agriculture, as well as logistics. However, in Thailand, there are still some challenges to perfectly utilizing the technology dedicated to industrial growth. Contributed to Thailand’s drone industry, the objective of this study is to determine opportunities and challenges, both of which are extracted from a focus group of drone experts in various sectors such as technology owners, distributors, resellers, government and enterprise users, educators, including regulators. The preliminary results reveal some concerns in regulations and supporting policies from the government. Later on, the documentary research method through collecting data from articles is applied comparing with focused group results is achieved as gap analysis.
An Approach to Innovative Design Within Complex Projects with the Application of TRIZ-3PE
Authors: Cook Matthew C. , Mo John P.T.
Published: November 2023

For innovative design to succeed within a complex project environment, it is essential to resolve contradictions and facilitate dynamic engagement across domains. This need is being further challenged by the growing strategy that large organisations are taking to outsource and/or develop partnership contracts to deliver particular aspects of system(s) within a system. TRIZ, being well-known as a problem-solving philosophy for applying logic and data, can improve both the control and management of the design process. However, its application is unstructured and there is scope to further expand its application. This paper proposes the embodiment of a 3PE model to form the basis of a framework for the design process. This structure provides an algorithmic process that crucially identifies areas where design challenges are clustering and focus must be applied to innovate, improve resilience, increase efficiency and control risk throughout the project lifecycle.
The Need for a Symbiotic Interface for a Digital Twin
Authors: Palmer Claire , Goh Yee Mey , Hubbard Ella-Mae , Grant Rebecca , Houghton Robert
Published: November 2023

Human interaction with a Digital Twin is an emerging concept for which there are no common definitions. This paper considers the various types of human interaction with Digital Twins. There is very little research considering human cognitive interaction with a digital twin, therefore to enable human and digital twin interactive collaboration an interface is required. In a dynamically changing environment there is a need for an intelligent adaptive user interface which adapts to the context and to the skills, requirements and preferences of the human operator. This type of interface, which is termed a “symbiotic interface”, needs to learn, evolve and to provide support for decision making, problem solving and unanticipated events. Ecological interface design (EID) is identified as a suitable design methodology to create this interface.
Defining a Flexible Value Framework for Digital Products and Services Using Systems Engineering and AI Approaches
Authors: Holmes R. Chadwick , Kumar Hemant
Published: November 2023

As digital transformation reshapes business practices across numerous industries, a growing need exists to systematically characterize the intrinsic value of digital products and services (DPS). Value comparisons are central to prioritizing project backlogs for groups constrained by budget, headcount, or time. Rationalizing ongoing work also requires assessments of project value to support the decision to discontinue efforts, including those associated with long-duration R&D. A survey of recent literature reveals several proposed DPS value frameworks to address this business need. However, no unified set of value elements collectively defines the utility of individual DPS activities. This paper addresses whether a coherent framework can be derived from multiple disparate DPS value models within the publication record. The problem space is evaluated through a multi-disciplinary lens, using concepts from systems engineering, computer science, and project and portfolio management. Results from optimizing a design structure matrix (DSM), contextual clustering using a natural language processing (NLP) model, and evaluating a hybrid DSM with NLP-derived similarities all reveal the potential for a hierarchical value framework. Each level defines a different granularity of value decomposition. Firms may identify the framework complexity that best suits the needs of their organizations, enabling management to balance DPS portfolios and resources more optimally. Furthermore, the approach allows for flexible updates as additional publications come to light, shifting the focus away from a rigid framework and toward an evergreen perspective on work item valuation.
An Exploration of Determinants of Corporate Social Innovation: Insights into Organizational Capabilities
Authors: Shih Tsui-Yii
Published: November 2023

Most large enterprises are self-disciplined in various aspects of corporate social responsibility (CSR), such as employee, customer, and partnership, promoting and implementing CSR standards according to their internal needs. Looking into the future, corporate social innovation will become the main axis of CSR activities. The research model identifies the pre-factors of corporate social innovation, setting enterprise organizational capability (including grassroots learning capability, narrative change capability, and network ties capability) as the independent variable, corporate social innovation (including product-based innovation, process-based innovation, socially transformative innovation) as the intermediary variable, and performance (including market performance and business performance) as the dependent variable. A questionnaire survey (samples from 192 companies are collected). The findings show that narrative change capability and business ties capability positively and significantly determine enterprises’ socially transformative CSI, product-based CSI, and process-based CSI. Further, product-based CSI affects firms’ market performance, while process-based CSI influences firms’ operational performance. Meanwhile, socially transformative CSI does not affect firms’ performance. These findings can be provided to corporate managers as a reference for organizational capability planning and the direction of corporate social innovation.
An improved YOLOv7 method to identify epidermal defects in mature litchi
Authors: Li Yue , Mao Liang
Published: November 2023

Automatic detection of defects in mature litchi plays a vital role in the classification of fruit grades. The existing method mainly relies on manual, it is difficult to meet the needs of different varieties of litchi various types of commodity packaging, and there are problems such as low efficiency, high cost and poor quality of goods. To address the above problems, this paper proposes an improved You Only Look Once(YOLO)v7 algorithm for the automatic detection of post-harvest mature litchi epidermal defects. First, a dataset of litchi defects (black spot, fall off, crack) was constructed, in which the train and test sets had 4133 and 516; Next, A Simple Parameter-Free Attention(SimAM) mechanism is introduced into the original YOLOv7 backbone network, while GSconv is used in the neck instead of convolution, and the shallow network is used instead of the deep network for lateral linking, finally, the Mish function is used as the activation function. Experimental results show the precious and mAP of the original YOLOv7 are 87.66% and 88.98%, and those of the improved YOLOv7 are 91.56% and 93.42%, improvements of 3.9% and 4.44%. A good foundation is laid for the automated classification of ripe litchi after harvesting.
Peculiarities of the analytical calculation of heat transfer parameters through a multi-layer enclosing structure in non-stationary mode
Authors: Nedbailo O. , Bozhko I. , Marteniuk V.
Published: November 2023

A system of algebraic equations is proposed for calculating the parameters of non-stationary complex heat exchange between the premises of the building and the environment (taking into account the thermal effect of insolation on the surface of the enclosing structure), which allows you to solve the following tasks: calculate the temperature field in complex, structurally, multilayered structures, for example, when the location discrete layers; when measuring the temperature at characteristic points (at the joints of layers and surfaces of the structure), the model allows you to determine the thermophysical characteristics of the materials from which the structure consists of layers; when conducting laboratory tests, it allows to significantly reduce their duration; when solving the inverse problem, directly determine the heat transfer resistance of the entire multilayer structure and its individual layers. The level of modern computer technology and special software allows you to quickly and accurately solve the problem of heat transfer through the OC, based on the entire set of climatic factors, without introducing any assumptions and simplifications. In particular, it is quite accurate to take into account the influence of insolation thanks to the information contained in meteorological handbooks. The developed mathematical model allows solving the following tasks: to assess the thermophysical condition of structures designed for different modes of operation and, as a result, to rationally design them for a specific mode or their range; calculate the temperature field in structurally complex multi-layer structures, for example, when the arrangement of layers is discrete. On the basis of the developed mathematical model, the possibility of calculating and optimizing the main thermal parameters of multi-layer enclosing structures, etc. is considered.
Cultural Diplomacy in the Eastern European Space: Culturological Aspect, Current Trends
Authors: Tatarnikova Anzhelyka
Published: November 2023

The purpose of the work is to reveal cultural diplomacy in the Eastern European context in terms of the role of cultural relations in the formation and development of international relations. Research methodology consists in the use of the following methods: descriptive, analysis and synthesis, comparison, generalisation, forecasting. The use of these methods contributes to the formation of an understanding of the influence of cultural relations on the development of international relations. At the same time, the use of these methods allows to consider the topic in both theoretical and practical terms. Thus, special attention is paid to the method of forecasting, because it can be used to determine how cultural diplomacy will develop in the future, its main directions, methods and means of influencing the international audience. The scientific novelty lies in the fact that for the first time cultural diplomacy was thoroughly investigated in the aspect of the Eastern European region as a link between culture and international relations. At the same time, the understanding of cultural diplomacy as a multifunctional system that spreads and creates new cultural contexts, based on the informative, cultural and educational, meaning-creating functions of culture and art, has been improved. Conclusions. Cultural diplomacy is an important aspect of establishing international relations between states through the means of culture and art. The essence of the conducted research is determined by the fact that cultural diplomacy at the modern stage is given more and more attention. In particular, with the help of diplomacy through the means of culture, it is possible to improve the image of the state, establish cooperation with various international partners, and present one's culture in a dignified manner on the world stage. Today, it is impossible to imagine the activity of any institution without cultural diplomacy, which aims to present the state in a dignified manner on the international arena. At the same time, in the future, Ukraine and the countries of Eastern Europe will use such areas as music and cinematographic art to establish cultural ties with other states.

Keywords: current issues of cultural studies; cultural diplomacy; culture and art; current culture.
The Effect of World Oil Price on Türkiye’s Exchange Rate
Authors: Huseynli Nigar
Published: November 2023

Oil prices are used in international markets both as one of the key prices and as an indicator price for other energy sources other than oil. Especially in developing oil importing countries like Turkey, the relationship of this important input with the exchange rate has always been an interesting research topic. In this study, the relationship between oil prices and nominal exchange rate in Turkey is examined by causality tests using daily data set (total 5168 observations) for the period of 3 April 2013-3 April 2023. The findings obtained from the analyzes indicate the existence of a unilateral causality relationship between the variables. This positive relationship indicates that there is a causality running from oil prices to the exchange rate. On the other hand, there was no causal relationship from exchange rate to oil prices. The results obtained show similar results with such articles made before in the literature.
The Impact of Environmental, Social and Governance, Sustainable Financial Performance, Ownership Structure, and Composition of Company Directors on Tax Avoidance: Evidence from Indonesia
Authors: Hidayati Kadarisman , Zuhroh Diana
Published: November 2023

The aim of the present study is to empirically estimate the impact of ESG, composition of company directors, ownership structure and financial performance on tax avoidance. To achieve the study objectives, 114 companies listed on Indonesian Stock Exchange market are selected covering the data span over 2013-2020 period. Institutional ownership, female directors, ESG performance, return on assets and firm size are taken as the measures of ownership structure, composition of company directors, ESG and financial performance respectively.  Empirical analysis is carried out using Fixed Effects Model as it is found as the appropriate estimation technique in Hausman test and Breusch-Pagan test. According to the study findings, EGS, ownership structure, composition of company directors all have significant and negative impact on tax avoidance. Among financial performance indicators, only firm size has negative and significant impact while return on assets has no significant effect on tax avoidance. The study recommends the firms or businesses to pay attention to ESG factors, institutional ownership and female directorship as these factors are found to have prominent role in improving tax avoidance behavior.
Analysis of Competitiveness Factors of Wind Power: A Case study in the Alto Sertão Wind Complex in the State of Bahia, Brazil
Authors: Marques Rogério , Fernandes Fábio Matos , Silva Marcelo Santana , Martins Luís Oscar , Mendonça Freires Francisco Gaudêncio
Published: November 2023

The increasing demand for electricity in Brazil has significant economic implications for the energy market. In this context, it is important to investigate alternative sources that can meet this demand, as well as understand the key factors that influence this process. The Wind power is considered one of the most promising sources, due to its exponential growth, cost-effectiveness, and continuous supply assurance. However, given the consolidation of fossil fuel sources in economic and technical terms, it is necessary to understand the factors of competitiveness that can be considered as potentials or constraints for the full development of wind energy. Thus, the overall objective of this research was to analyze the competitiveness factors of wind energy, using the Alto Sertão wind complex located in the state of Bahia as a case study. The methodology used in this research was based on an exploratory documentary approach, which sought regulated information from government agencies. The research predominantly used secondary data sources, combined with conducting interviews. The results indicate three factors that confer competitiveness to the sector. Unlike other states in the Northeast, which have a higher occurrence of winds along the coast, Bahia has its greatest wind potential concentrated in the interior, east of the São Francisco River, from the Espinhaço Range to municipality of Juazeiro - BA. This is due to low cloudiness and the process of high atmospheric pressure moving towards the Northeast, resulting in excellent quality winds for wind energy generation, which makes the region competitive.
Exploring the Effects of Oil and Gas Prices on Industrial Production in Colombia: A Quantile Regression Analysis
Authors: Candelo-Viafara Juan Manuel , Oviedo-Gomez Andres , Rivera-Diaz Maria Del Pilar
Published: November 2023

This study examines the impact of oil and gas prices on industrial production in Colombia between 1997 and 2022 using the quantile regression methodology (QR) to evaluate seasonality and nonlinear effects on the distribution of the industrial sector, the findings indicate that when industrial production is at low levels, fluctuations in gas prices have minimal impact. Conversely, when industrial production is at medium levels, gas prices have a significant negative impact, while at high levels (above the sixth decile), gas prices have a negative but not significant impact. On the other hand, oil prices generate positive and significant impacts at medium and high production levels. The study concludes that increasing gas production in the country would lead to a reduction in its price, decrease costs, and increase national production, additionally, gas production can be a viable element in energy transition, as it strengthens sectors of the economy other than oil.