bluuebunny/crossref_metadata_2025_split huggingface dataset:
The functional specialization of visual cortex emerges from training parallel pathways with self-supervised predictive learning
Authors: Bakhtiari Shahab , Mineault Patrick , Lillicrap Tim , Pack Christopher C. , Richards Blake A. 
Published: June 2021

AbstractThe visual system of mammals is comprised of parallel, hierarchical specialized pathways. Different pathways are specialized in so far as they use representations that are more suitable for supporting specific downstream behaviours. In particular, the clearest example is the specialization of the ventral (“what”) and dorsal (“where”) pathways of the visual cortex. These two pathways support behaviours related to visual recognition and movement, respectively. To-date, deep neural networks have mostly been used as models of the ventral, recognition pathway. However, it is unknown whether both pathways can be modelled with a single deep ANN. Here, we ask whether a single model with a single loss function can capture the properties of both the ventral and the dorsal pathways. We explore this question using data from mice, who like other mammals, have specialized pathways that appear to support recognition and movement behaviours. We show that when we train a deep neural network architecture with two parallel pathways using a self-supervised predictive loss function, we can outperform other models in fitting mouse visual cortex. Moreover, we can model both the dorsal and ventral pathways. These results demonstrate that a self-supervised predictive learning approach applied to parallel pathway architectures can account for some of the functional specialization seen in mammalian visual systems.
Investigation of crevice corrosion of metallic fastened joints in carbon fiber reinforced polymer (CFRP) exposed to coastal seawater
Authors: Abdulsalam Mohammed I. , Presuel-Moreno Francisco 
Published: June 2021

Purpose
The purpose of this paper is to study the susceptibility of these three commonly used corrosion resistance fasteners in seawater. For a more practical scenario, a local Atlantic coastal seawater as received was used.

Design/methodology/approach
Carbon fiber reinforced polymer (CFRP) was fabricated with T700 carbon fiber (Toray Inc.) and VE8084 vinyl ester resin (Ashland) to make a unidirectional composite panel of thickness 1.8 mm. A conductive paint was applied to one of the sample edges that was perpendicular to the fiber direction, providing an electrical contact with carbon fibers to connect a copper wire. This external electric connection was used for potential measurements of both the open circuit potential (OCP) of the CFRP sample, and the mixed potential of the fastened set: consisting of the CFRP and the metallic fastener fastened to it. Three common fastener alloys were selected: 316SS, Monel and Titanium. For this purpose, a high impedance voltmeter was used in conjunction with a saturated calomel reference electrode. Measurements were taken daily. For longer time measurements, a four-channel high impedance analog data logger was used with 30 min sampling rate.

Findings
For both 316SS and Monel fastened sets, crevice corrosion occurred inside the occluded regions of the set, when immersed in coastal seawater. The attack was more severe for 316 stainless steel set. An isolated island attack of faceted surfaces morphology was seen for 316SS set. While, a circular ring of preferential grain boundary attack appeared for Monel set, indicating an IR (voltage) drop mechanism is more likely operating. Titanium-fastened sets showed high resistance to crevice corrosion when simmered in seawater. However, for long-time exposure, the sets became more susceptible to crevice corrosion attack supported by CFRP attachment (oxygen reduction reaction taking place at the carbon fibers).

Originality/value
Evidently, titanium, stainless steels and Monel are good candidates for galvanic corrosion resistance. However, their susceptibility to crevice corrosion when coupled with CFRP is a new challenging topic that needs further investigation. This is very important today because the vast application witnessed for CFRP material. This work involves developing an original methodology for this kind of investigation and was done at advanced laboratories of SeaTech at Florida Atlantic University by the Atlantic coastline.
The interplay between the Internet of things and supply chain management: challenges and opportunities based on a systematic literature review
Authors: Rebelo Rômulo Marcos Lardosa , Pereira Susana Carla Farias , Queiroz Maciel M. 
Published: June 2021

PurposeThis study aims to identify and analyze how Internet of things (IoT) technology affects supply chain management (SCM) performance.Design/methodology/approachA systematic literature review was conducted (using Scopus, JSTOR, Emerald, ProQuest, Science Direct and Web of Science) covering a 20-year timeframe (2000–2020). Out of 2,572 papers identified, 171 peer-reviewed papers from the most important journals were selected. Content analysis was used following the Global Supply Chain Forum (GSCF) SCM framework.FindingsRegarding the GSCF SCM framework processes, most IoT-based studies have addressed improving order fulfilment, manufacturing flow management and demand management processes. However, no studies addressing the Supplier relationship management process were identified, suggesting that IoT-based applications are perceived to add more value in downstream than upstream SCM processes. The importance of using enabling technologies to realize the potential of value generation of IoT was also revealed. Findings suggest new research avenues related to product development and commercialization process, the supplier relationship management process, the returns management process, servitization strategies, new SCM models and new business models.Research limitations/implicationsThe review encompasses only academic papers from journals considered the most relevant (retrieved from specific databases), using the impact factor as the quality criterion.Practical implicationsThe findings can help business managers better understand the potential of IoT technology, such as the main applications identified in the literature and their impacts on SCM processes. Their importance in enabling technologies to leverage SCM performance is identified and the emerging SCM models/business models that IoT deployment can enable are highlighted.Originality/valueThis study contributes to filling a gap in the literature using a systematic literature review of how IoT technology affects SCM performance through content analysis, using an SCM framework to clarify which SCM processes are affected. Academic articles from the most important journals from 2000 to 2020 are identified.
Traditional marketing analytics, big data analytics and big data system quality and the success of new product development
Authors: Aljumah Ahmad Ibrahim , Nuseir Mohammed T. , Alam Md. Mahmudul 
Published: June 2021

PurposeThis study investigates the impact of traditional marketing analytics and big data analytics on the success of a new product. Moreover, it assesses the mediating effects of the quality of big data system.Design/methodology/approachThis study is based on primary data that were collected through an online questionnaire survey from large manufacturing firms operating in UAE. Out of total distributed 421 samples, 327 samples were used for final data analysis. The survey was conducted from March–April 2020, and data analysis was done via Structural Equation Modelling (SEM-PLS).FindingsIt emerges that big data analysis (BDA), traditional marketing analysis (TMA) and big data system quality (BDSQ) are significant determinants of new product development (NPD) success. Meanwhile, the BDA and TMA significantly affect the BDSQ. Results of the mediating role of BDSQ in the relationship between the BDA and NPD, as well as TMA and NPD, are significant.Practical implicationsThere are significant policy implications for practitioners and researchers concerning the role of analytics, particularly big data analytics and big data system quality, when attempting to achieve success in developing new products.Originality/valueThis is an original study based on primary data from UAE.
Assessing how the South African National Standard 15489 improve the importance and usability of the archive: case of the Universities of Venda and WItwatersrand
Authors: Netshakhuma Nkholedzeni Sidney 
Published: June 2021

Purpose
This paper aims to assess how the South African National Standard (SANS) 15489 improves the importance and usability of the archives at the University of Venda (UNIVEN) and the University of Witwatersrand (WITS).

Design/methodology/approach
Both quantitative and qualitative methods are used to assess how the standards improve the importance and usability of the archives. A total of 34 participants were selected to participate in the study; the choice of the population was because they are responsible for records management decisions in various divisions, departments and units. Data was obtained through structured interviews and observation. The study has established that there was much dissonance concerning records and archives management standards. Ethics approval was obtained from both the WITS and the UNIVEN research department. Informed consent was obtained from university staff members.

Findings
The research found that only the WITS adopted SANS 15489. This was shown by the availability of a classification system (file plan) and retention schedule while the UNIVEN did not value SANS 15489 standards to manage all records created.

Research limitations/implications
Although South Africa has 26 public universities, this study is only confined to the UNIVEN and the WITS. The researcher only focusses on the classification of records and disposal of records elements of SANS 15489.

Practical implications
The findings have practical implications in that they can be used for assessing the archives and records management programmes. Other related universities can also use the findings as a reference point in the planning of university archives and records management programmes.

Social implications
The findings were to assist the university authorities as decision and policymakers to ensure that records and archives management practices adhere to SANS 15489.

Originality/value
Few studies related to the assessment of records management programme in universities in South Africa is not yet fully conducted in South Africa public universities. This study could be a valuable input for universities to adopt SANS 15489 standards to develop and implement records management programmes.
“Game on!” Pushing consumer buttons to change sustainable behavior: a gamification field study
Authors: Mulcahy Rory Francis , McAndrew Ryan , Russell-Bennett Rebekah , Iacobucci Dawn 
Published: June 2021

Purpose
Marketers have begun to investigate the potential of gamification for influencing consumer behavior by using game design elements in realms varying from branding, retail, sales and health services. Marketers have also begun to explore consumer behavior in sustainability. This paper aims to provide contributions to build on both literatures.

Design/methodology/approach
This research tests gamification principles in a large field study on real consumers that includes data from pre-post surveys, gamified app analytics and household energy meters. The data are analyzed using ANOVA’s and structural equation modeling.

Findings
The findings demonstrate: gamification significantly enhanced consumers’ knowledge, attitudes, behavioral intentions and realized bill savings compared to a control group; reward-based game design elements including points, badges and other rewards contribute to enhancing sustainable behavior outcomes.

Research limitations/implications
Future research in settings outside of sustainability may extend upon the findings of the current research to further understanding the impact of reward-based game design elements in marketing.

Practical implications
The findings have important practical implications for how organizations might use serious games to promote sustainable and other desirable behavior. In particular, how reward-based game design elements, points, trophies and badges, can be used to create a chain of relationships that leads to reduced electricity consumption.

Originality/value
This paper fulfills the need to understand if the impact of gamification extends outside of controlled environments and into the field. Further, it demonstrates how reward-based game design elements contribute to consumers changing their behavior, a relationship that is not yet thoroughly understood in the marketing literature.
A framework for management of digital records on the cloud in the public sector of South Africa
Authors: Shibambu Amos , Marutha Ngoako Solomon 
Published: June 2021

Purpose
The purpose of this paper is to investigate a framework for management of digital records on the cloud in South Africa.

Design/methodology/approach
This qualitative case study used semi-structured interviews and document analysis to collect data from regulatory documents, records practitioners and chief information officers in the national government departments in South Africa.

Findings
This study reveals that despite the advent of cloud computing, government is still struggling with manual paper-based records challenges, as they have not developed a government-owned cloud in which to manage and dispose records.

Practical implications
Technological advancements have brought about dramatic changes to the management and disposition of records since cloud computing emerged. The traction gained by cloud computing influences how records are managed and disposed in the cloud storage. Currently, the South African Government manages and disposes records in the government premises as stipulated by the National Archives and Records Service of South Africa Act (1996). This is enforced by the National Archives and Records Service of South Africa, which is the government records regulator because records are on paper-based, microfilms and audio-visual formats. It is hoped that the recommendations and framework proposed in this study may assist the government and related sectors in the adoption and implementation of the cloud computing system for records management and disposal. This may assist in resolving challenges such as missing files, damaged records and archives and long turnaround time for retrieval of records.

Social implications
In South Africa, the digital records are securely stored in storage mediums such as hard drives and USBs, to mention but a few. In addition to digital obsolescence faced by the storage mediums, global access to information is hindered because information is limited to those who can visit the archival holdings. The alternative option is to manage and dispose of records in the cloud. The framework and recommendations in this study may also assist in improving information, archives and records management policies and service delivery to the community at large. The framework proposed may be applied as a theory for framing future studies in the same area of cloud computing and used as a resource to guide other future studies and policymakers.

Originality/value
This study provides a framework for management of digital records on the cloud in South Africa. It also proposes the promulgation of the Cloud Act to promote unlimited access to state heritage, regardless of time and location. This study is framed on the Digital Curation Centre Life Cycle Model.
HIV patient access to healthcare services in post-austerity era in Greece
Authors: Tsiakalakis George , Golna Christina , Dedes Nikos , Papageorgiou George , Athanasakis Kostas , Souliotis Kyriakos 
Published: June 2021

Purpose
The ten-year economic crisis and the ensuing fiscal adjustment that Greece experienced between 2009 and 2018 has had a major impact on patient access to health-care services and resulted in an increase in unmet population health needs. The present study aims to assess the impact of economic crisis and ensuing austerity on HIV patient access to health-care services.

Design/methodology/approach
A cross-sectional study was carried out between February and April 2019 to assess barriers in access to HIV care faced by people living with HIV. A total of 329 HIV positive individuals participated in the study. An online, self-reporting questionnaire was developed and adapted to the specific clinical and societal characteristics of HIV.

Findings
A total of 94.2% of respondents were male and 67.80% lived in Athens. Most of them were diagnosed with HIV-1 10 years ago. Out of the total respondents, 37.40% reported obstacles in accessing HIV care over the past year. A total of 24.30% reported they were not tested for viral load in the past six months and received a result. Individuals, who self-evaluate their financial status as very bad or bad, were more likely to be unaware of their viral load (55.60%) than those with better financial status (33.5%) (P < 0.01). Only 33.3% of uninsured participants were aware of their viral load, and this figure rose to 63.30% (P <0.01) amongst insured participants.

Originality/value
The ten-year economic crisis that Greece experienced in the period 2009–2018 had significant effects on the quality of services of the National Health System. This study attempts to fill the research gap regarding the impact of one of the severest economic crises during the past century with complex social extensions, in one of the most vulnerable patient groups. In this context, the study assesses barriers to access to optimal care of people living with HIV in Greece after a decade of austerity and the variables that impact on such access.
Impact of artificial intelligence on employees working in industry 4.0 led organizations
Authors: Malik Nishtha , Tripathi Shalini Nath , Kar Arpan Kumar , Gupta Shivam 
Published: June 2021

PurposeThis study attempts to develop a practical understanding of the positive and negative employee experiences due to artificial intelligence (AI) adoption and the creation of technostress. It unravels the human resource development-related challenges with the onset of Industry 4.0.Design/methodology/approachSemi-structured interviews were conducted with 32 professionals with average work experience of 7.6 years and working across nine industries, and the transcripts were analyzed using NVivo.FindingsThe findings establish prominent adverse impacts of the adoption of AI, namely, information security, data privacy, drastic changes resulting from digital transformations and job risk and insecurity brewing in the employee psyche. This is followed by a hierarchy of factors comprising the positive impacts, namely, work-related flexibility and autonomy, creativity and innovation and overall enhancement in job performance. Further factors contributing to technostress (among employees): work overload, job insecurity and complexity were identified.Practical implicationsThe emerging knowledge economy and technological interventions are changing the existing job profiles, hence the need for different skillsets and technological competencies. The organizations thus need to deploy strategic manpower development measures involving up-gradation of skills and knowledge management. Inculcating requisite skills requires well-designed training programs using specialized tools and virtual reality (VR). In addition, employees need to be supported in their evolving socio-technical relationships, for managing both positive and negative outcomes.Originality/valueThis research makes the unique contribution of establishing a qualitative hierarchy of prominent factors constituting unintended consequences, positive impacts and technostress creators (among employees) of AI deployment in organizational processes.
AI technologies and their impact on supply chain resilience during COVID-19
Authors: Modgil Sachin , Gupta Shivam , Stekelorum Rébecca , Laguir Issam 
Published: June 2021

PurposeCOVID-19 has pushed many supply chains to re-think and strengthen their resilience and how it can help organisations survive in difficult times. Considering the availability of data and the huge number of supply chains that had their weak links exposed during COVID-19, the objective of the study is to employ artificial intelligence to develop supply chain resilience to withstand extreme disruptions such as COVID-19.Design/methodology/approachWe adopted a qualitative approach for interviewing respondents using a semi-structured interview schedule through the lens of organisational information processing theory. A total of 31 respondents from the supply chain and information systems field shared their views on employing artificial intelligence (AI) for supply chain resilience during COVID-19. We used a process of open, axial and selective coding to extract interrelated themes and proposals that resulted in the establishment of our framework.FindingsAn AI-facilitated supply chain helps systematically develop resilience in its structure and network. Resilient supply chains in dynamic settings and during extreme disruption scenarios are capable of recognising (sensing risks, degree of localisation, failure modes and data trends), analysing (what-if scenarios, realistic customer demand, stress test simulation and constraints), reconfiguring (automation, re-alignment of a network, tracking effort, physical security threats and control) and activating (establishing operating rules, contingency management, managing demand volatility and mitigating supply chain shock) operations quickly.Research limitations/implicationsAs the present research was conducted through semi-structured qualitative interviews to understand the role of AI in supply chain resilience during COVID-19, the respondents may have an inclination towards a specific role of AI due to their limited exposure.Practical implicationsSupply chain managers can utilise data to embed the required degree of resilience in their supply chains by considering the proposed framework elements and phases.Originality/valueThe present research contributes a framework that presents a four-phased, structured and systematic platform considering the required information processing capabilities to recognise, analyse, reconfigure and activate phases to ensure supply chain resilience.