Article Review #1 – Impact of Cybersecurity and AI’s Related Factors on Incident Reporting
Suspicious Behaviour and Employees Stress: Moderating Role of Cybersecurity Training
Introduction
This review analyzes the article “Impact of Cybersecurity and AI’s Related Factors on Incident Reporting Suspicious Behaviour and Employees Stress: Moderating Role of
Cybersecurity Training” from the International Journal of Cybercriminology. The study
examines how cybersecurity and AI factors influence employee behavior in reporting incidents and the stress they experience, with a particular focus on how cybersecurity training moderates these effects. This research is significant because it connects cybersecurity issues with employee well-being, offering insights into how training can reduce stress and improve reporting practices.
Relevance to the Social Sciences
The article connects to the social sciences by exploring human factors such as employee behavior, stress, and decision-making in the context of cybersecurity. It integrates theories from organizational behavior and psychology to understand how cybersecurity policies and AI impact employee actions, such as reporting suspicious activities. This focus on human behavior within technological settings aligns with social science principles by studying how workplace systems and advancements shape individual and group actions.
Research Questions or Hypotheses
The article investigates how AI and cybersecurity factors influence employees’ likelihood to report suspicious behavior and the level of stress they experience. The main hypothesis suggests that cybersecurity training moderates the relationship between these factors, reducing stress and increasing the likelihood of reporting incidents. This hypothesis is key because it underscores the importance of training in enhancing cybersecurity practices and improving employee well-being.
Research Methods and Data Analysis
The study employs surveys to gather data from employees about their experiences with cybersecurity training, AI systems, and stress. This method allows for the identification of large-scale trends and statistical patterns, providing insights into how training and AI influence reporting and stress. The data analysis focuses on how cybersecurity training moderates the effects of stress and reporting behavior.
Contributions to Society
This study highlights the importance of cybersecurity training in enhancing both security measures and employee well-being. It suggests that effective training improves reporting behaviors and reduces stress, contributing to healthier work environments and more effective cybersecurity. The research offers practical recommendations for organizations to improve their cybersecurity strategies.
Conclusion
In conclusion, the article demonstrates that cybersecurity and AI-related factors influence employee behavior and stress. It shows that cybersecurity training can help mitigate the negative effects of these factors, improving reporting practices and reducing stress. This research offers valuable insights for organizations looking to improve both their cybersecurity strategies and the well-being of their employees.
References
Muthuswamy, V. V., & Esakki, S. (2024). Impact of cybersecurity and AI’s related factors on incident reporting suspicious behaviour and employees stress: Moderating role of cybersecurity training. International Journal of Cyber Criminology, 18(1), 83-107.
https://cybercrimejournal.com/menuscript/index.php/cybercrimejournal/article/view/330/99