Article Review #1 

Matthew Burd

1/28/25

An Analysis of the Impact of Cybersecurity and AI’s Related Factors on Incident Reporting Suspicious Behaviour and Employees Stress: Moderating Role of Cybersecurity Training

Article Link: https://cybercrimejournal.com/menuscript/index.php/cybercrimejournal/article/view/330/99 

Introduction
Muthuswamy and Esakki’s (2024) article, “Impact of Cybersecurity and AI’s Related Factors on Incident Reporting Suspicious Behaviour and Employees Stress: Moderating Role of Cybersecurity Training,” investigates the relationship between cybersecurity measures, artificial intelligence (AI), and employee stress. The study examines organizational behavior, human-technology interaction, and workplace dynamics to see how cybersecurity training can reduce stress in firms.

Social Science Principles in the Article

Determinism: AI monitoring and cybersecurity training influence employee stress and reporting habits, demonstrating how work environments govern behavior (Muthuswamy & Esakki, 2024).

Skepticism: According to the study, AI can raise stress and decrease reporting if it is not properly trained, casting doubt on the notion that it enhances security (Muthuswamy & Esakki, 2024).

Empiricism: Results are derived from statistical analysis and employee surveys, guaranteeing that conclusions are supported by facts rather than conjecture (Muthuswamy & Esakki, 2024).

Relativism: The effects of cybersecurity measures varied in various work settings, highlighting the fact that organizational context affects employee reactions (Muthuswamy & Esakki, 2024).

Behavioral psychology

The article investigates how cybersecurity and AI affect employee stress and reporting behavior. Behavioral psychology is important here because it examines how workplace stresses, such as cybersecurity technologies and AI systems, influence employee behavior (Muthuswamy & Esakki, 2024).

Sociology & Organizational Behavior

The study looks at how organizational policies, specifically cybersecurity training, affect employee stress. This underscores sociology’s focus in studying how societal institutions influence individual behavior, and training has been proven to lessen stress (Muthuswamy & Esakki, 2024).

Social System Concepts

The study emphasizes the interconnection of AI, cybersecurity, and employee behavior in organizational systems. It highlights how changes in one element of the system (e.g., training or AI deployment) affect the entire system (e.g., employee stress and reporting behavior), which lends validity to social systems theory.

Research Questions and Hypotheses
The article investigates how cybersecurity and AI-related factors influence employees’ reporting of suspicious behavior and stress. The researchers hypothesize that cybersecurity training moderates the relationship between these factors and employee stress (Muthuswamy & Esakki, 2024). Additionally, they examine the impact of AI on behavior monitoring and employee stress when training is insufficient.

Research Methods Used
The authors employed a quantitative research approach, distributing questionnaires to employees across sectors. These surveys explored perceptions of cybersecurity training, AI’s role in detecting suspicious activity, and stress levels (Muthuswamy & Esakki, 2024).This method allows for the identification of correlations between the variables and patterns within the sample population. 

Data & Analysis
Survey responses were analyzed to examine relationships between cybersecurity training, AI influence, and employee stress. The study found that employees who received cybersecurity training reported lower stress levels and were more likely to report suspicious behavior, suggesting that training mitigates the negative effects of technology (Muthuswamy & Esakki, 2024).

Marginalized Groups and Contributions
The article highlights how marginalized groups, particularly those with limited access to cybersecurity training or AI resources, face greater challenges. Employees who feel unprepared are more likely to experience stress due to surveillance technologies. The findings indicate that marginalized groups are disproportionately affected by a lack of access to training, leading to higher stress and less reporting of suspicious activities (Muthuswamy & Esakki, 2024).

Contributions to Society
This study contributes to society by offering practical recommendations for organizations to better equip employees to handle the stresses associated with cybersecurity and AI. By emphasizing the role of cybersecurity training, the research provides insights for businesses looking to implement programs that reduce stress and encourage suspicious behavior reporting, ultimately improving employee well-being and corporate security (Muthuswamy & Esakki, 2024).

Conclusion
Muthuswamy and Esakki’s research provides valuable insights into the intersection of cybersecurity, AI, and employee stress. It underscores the importance of cybersecurity training in mitigating the negative effects of these technologies, with broader implications for marginalized groups in the workplace. The findings have significant theoretical and practical implications, particularly for developing organizational policies that support employee well-being in the face of technological advancements.

__WordCount__= 490 (not including In text citations)

REFERENCE(s)Muthuswamy, 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), 1-15. https://cybercrimejournal.com/menuscript/index.php/cybercrimejournal/article/view/330/99