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This paper aims to undertake an evaluation of the research development and works associated with banking frauds and scams.

The authors have conducted bibliometric analysis of 288 studies on issues of banking frauds and scams, published up to August 4, 2024 using Scopus and the VOS viewer software.

This study disseminates top influential authors, countries, journals, papers, funding institutions and affiliations relating to banking frauds and scams. Generally, although a great deal of work has been accomplished in this area, there are prominent gaps in such findings.

To the best of the authors’ knowledge, this paper is the first comprehensive review of extant research relating to banking frauds and scams. It hence represents an original piece of work in applying bibliometric analysis to this topic area, offering valuable insights for practitioners and academics who seek to understand more about banking frauds and scams risks.

The vulnerability of customers to malware attacks through weak supplier links has prompted a need for collaboration as a strategic alternative in improving supply chain cybersecurity (SCC). Current studies overlook the fact that the effectiveness of cybersecurity strategies is dependent on the form of interfirm relationship mechanisms within which supply chain digital assets are embedded. This paper analyses the association between interfirm collaborative cybersecurity management capabilities (ICCMC) and cybersecurity parameters across a supply chain and proposes an agenda for future research.

A systematic literature review (SLR) is conducted, employing text mining software to analyse content extracted from 137 scholarly articles on SCC from January 2013 to January 2022.

The co-occurrence analysis strongly confirms the potential of ICCMC to reinforce SCC. Furthermore, we establish that relational factors could have multiple roles: as antecedents for ICCMC, and as factors that directly affect SCC parameters. The analysis reveals knowledge gaps in SCC theory grounding, including a fragmented and sparse representation of SCC parameters and the potential presence of an omitted variable – SCC – that could improve subsequent testing of causal relationships for theory development.

The paper’s contribution is at the intersection of interfirm collaboration and mandating cybersecurity requirements across a supply chain. Our paper contributes to closing a social-technical gap by introducing social aspects such as the Relational View and the importance of developing ICCMC to reinforce SCC. We offer a method for testing co-occurrences in SLRs, a comprehensive definition of SCC, and a framework with propositions for future research on increasing the effectiveness of collaborative cybersecurity management. We position collaboration as a necessary condition for the transition from cybersecurity of a firm to cybersecurity across a supply chain, and its ecosystem.

Using the lens of upper echelons theory, this study examines the degree to which National Collegiate Athletic Association athletic department performance outcomes are associated with the personal characteristics and experiences of the athletic director leading the organization.

The authors match organizational performance data with athletic director and institutional characteristics to form a robust data set spanning 16 years from the 2003–04 to 2018–19 seasons. The sample contains 811 observations representing 136 unique athletic directors. Fixed effects panel regressions are used to analyze organizational performance and quantile regression is used to analyze organizational revenues.

The authors fail to uncover statistically significant evidence that athletic director personal characteristics, functional experience and technical experience are associated with organizational performance. Rather, the empirical modeling indicates organizational performance is primarily driven by differentiation in the ability to acquire human capital (i.e. playing talent). The results also indicate that on average, women are more likely to lead lower revenue organizations, however, prior industry-specific technical experience offsets this relationship.

In opposition to upper echelons research in numerous settings, the modeling indicates the personal characteristics and experiences of the organization's lead executive are not an economically relevant determinant of organizational performance. This may indicate college athletics is a boundary condition in the applicability of upper echelons theory.

The purpose of this paper is to identify the factor structure of safety culture construct among engineering students at university context and to examine the measurement invariance of this instrument across different socio-demographic groups in a sample of engineering students in the United Arab Emirates (UAE).

An exploratory online questionnaire was completed by 770 undergraduate and postgraduate engineering students across the UAE. Data were analyzed using a diversified multi-group and a robust and sophisticated cross-validation testing strategy. Confirmatory factor analysis (CFA) was used to test factor structures identified in previous studies. Multi-group invariance testing was conducted to determine the extent to which factor structure is comparable across groups (i.e. gender, educational and experiential background).

Three-factor model was preferred for its parsimony. The results showed that the level of safety awareness and attitude is relatively satisfactory, whereas safety behaviour is inadequate. No significant difference was showed in multi-group invariance between demographic groups.

This research is a cross-sectional study and limited to the views of engineering students (informal group). The study would benefit from both informal and formal groups in assessing safety culture at university for a robust empirical evidence. The research highlights relevant implications for policy and program development, by pointing to the need to promote safety culture and mitigate safety-related accidents among engineering students.

This paper offers insight into benefit of understanding the level of safety culture among engineering students and extend knowledge of informal group involvement in safety-related accidents at university level.

Historical newspaper collections provide a wealth of information about the past. Although the digitization of these collections significantly improves their accessibility, a large portion of digitized historical newspaper collections, such as those of KBR, the Royal Library of Belgium, are not yet searchable at article-level. However, recent developments in AI-based research methods, such as document layout analysis, have the potential for further enriching the metadata to improve the searchability of these historical newspaper collections. This paper aims to discuss the aforementioned issue.

In this paper, the authors explore how existing computer vision and machine learning approaches can be used to improve access to digitized historical newspapers. To do this, the authors propose a workflow, using computer vision and machine learning approaches to (1) provide article-level access to digitized historical newspaper collections using document layout analysis, (2) extract specific types of articles (e.g. feuilletons – literary supplements from Le Peuple from 1938), (3) conduct image similarity analysis using (un)supervised classification methods and (4) perform named entity recognition (NER) to link the extracted information to open data.

The results show that the proposed workflow improves the accessibility and searchability of digitized historical newspapers, and also contributes to the building of corpora for digital humanities research. The AI-based methods enable automatic extraction of feuilletons, clustering of similar images and dynamic linking of related articles.

The proposed workflow enables automatic extraction of articles, including detection of a specific type of article, such as a feuilleton or literary supplement. This is particularly valuable for humanities researchers as it improves the searchability of these collections and enables corpora to be built around specific themes. Article-level access to, and improved searchability of, KBR's digitized newspapers are demonstrated through the online tool (https://tw06v072.ugent.be/kbr/).

Michael Gove is a controversial figure, not least due to his time as secretary of state for education under the Cameron coalition government from 2009 to 2013. Gove’s internationalising policy claimed to be addressing the attainment gap between rich and poor, supporting a workforce for the global markets. Gove appealed to all educational leaders by sending them a Gove-signed King James Bible, and he set up a Victorian school desk as the primary display artefact in the Ministry of Education. These two artefacts provide the analytical lens from which the claims and consequences of Gove’s education policy reforms were experienced by educational leaders and schools. This chapter aligns with the editorial line of this book in three ways. First, it acknowledges context as the most important aspect of understanding reform, in this case the neoliberal market economy of Britain in the 21st century. Second, it affords insight into how the selective use of data and political rhetoric acted as a vehicle for power in and through social relations. Finally, it reveals where disadvantage lies and provides impetus for further research and scholarship to mitigate it.