Haitham Nobanee, Ahmad Alodat, Reem Bajodah, Maryam Al-Ali and Alyazia Al Darmaki
This study aims to assess the research developments and works pertaining to cybersecurity risks.
Abstract
Purpose
This study aims to assess the research developments and works pertaining to cybersecurity risks.
Design/methodology/approach
A bibliometric analysis of 749 studies on cybersecurity risks published between 1999 and 2021 was conducted using Scopus and the VOSviewer software.
Findings
This study reveals various findings, including the most influential authors and the top countries, journals, papers, funding institutions and affiliations publishing research on cybersecurity risks. The bibliometric analysis shows that the existing studies have affected the knowledge of the consequences of cybersecurity risks. However, some research gaps still exist in this field.
Originality/value
This study’s contribution is that it presents a comprehensive evaluation of the research on cybercrime and cybersecurity risks. Moreover, to the best of the authors’ knowledge, bibliometric analysis has not been conducted on cybersecurity risks. This study’s findings are likely to prove useful to practitioners and academics in mitigating the consequences of cybercrime and cybersecurity risks.
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Fauzia Jabeen, Maryam Al Hashmi and Vinita Mishra
This study aims to explore the antecedents that may lead to turnover intentions among police personnel in the United Arab Emirates.
Abstract
Purpose
This study aims to explore the antecedents that may lead to turnover intentions among police personnel in the United Arab Emirates.
Design/methodology/approach
The data were collected from police personnel (n = 176) through a questionnaire survey, and structural equation modeling was used to test the relationships.
Findings
The findings revealed that the work-family conflict and job autonomy significantly correlate with turnover intentions. Alternatively, perceived organizational support does not predict turnover intentions.
Research limitations/implications
This research is limited by the study’s subjective assessment of police personnel turnover intentions through self-reported questionnaires. It provides implications for policymakers, organizational behavioral experts and those interested in formulating effective strategies to reduce turnover among police personnel.
Originality/value
This study offers a novel context as it assesses police personnel in an emerging Middle Eastern country. It provides insights to policymakers and academia concerning the factors strongly linked with police personnel turnover intentions and will help them formulate strategies for improving personnel satisfaction and advancing relationships between police and the community.
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Youssra Ben Romdhane and Maryam Elamine
This study aims to examine the effect of digitalization and sanitary measures during the COVID-19 pandemic on corporate social responsibility (CSR) in the African context. While…
Abstract
Purpose
This study aims to examine the effect of digitalization and sanitary measures during the COVID-19 pandemic on corporate social responsibility (CSR) in the African context. While CSR has traditionally been analyzed in developed markets, this paper explores how multinational subsidiaries can leverage CSR practices to create financial opportunities and market stability for themselves and their communities in Africa.
Design/methodology/approach
The authors use a panel of data from six listed African companies for the period ranking from January 2006–2022 to analyze the effect of financial performance (FP), digitalization and health measures on the social responsibility of these companies. The authors provide a robust test that improves the understanding of the impact of pandemics and innovation on CSR, using Machine Learning (ML) linear regression.
Findings
The results show that the social responsibility of African companies is highly dependent on FP and digitalization. On the other hand, the authors demonstrate that the moderating role of epidemic instability negatively affects social responsibility through FP, but on the other hand strengthens CSR in the presence of digitalization. The results of the initial analysis remain largely unchanged, demonstrating the validity and robustness of the empirical results through ML models. This article highlights some of the obstacles and opportunities for CSR adapted to the crisis context. The authors conclude that adjusting innovation strategies improves the forecasting performance of responsible companies, especially in a context of instability.
Research limitations/implications
The paper clearly shows that CSR literature varies across different regions. Given that the financial market in Africa is characterized by a lack of opportunity for innovation as well as financial stability, this paper represents an important first step in the elaboration of a CSR development strategy. In light of the results presented above, the study makes an important contribution to the literature on CSR, in particular the CSR practices of multinationals in developing countries and also provides CSR managers with various insights into the types of support they will need to leverage and improve the internal underpinnings of their CSR strategies and collaboration.
Practical implications
The results of this study contribute to the understanding of digital transformation in responsible business, offering empirical evidence of its benefits in tackling the health crisis. In addition, the study highlights the role of an innovative approach in enhancing reputation and developing sustainable, trusting relationships with stakeholders.
Originality/value
This research pioneers the academic link between innovation and epidemic crisis in responsible business, filling a notable gap and introducing a new academic perspective. In concrete terms, it provides women entrepreneurs with actionable insights into the digital strategies essential to improving business performance in a context of instability. Methodologically, the study sets a benchmark for research innovation, using ML to provide a reproducible model for exposing robust results and for future research in this evolving field.