Jesse Zinsou
2/19/2025
Article Review #1: Impact of Cybersecurity and AI’s Related
Factors on Incident Reporting Suspicious Behavior and
Employees Stress: Moderating Role of Cybersecurity Training
The article “Impact of Cybersecurity and AI’s Related Factors on Incident Reporting Suspicious
Behavior and Employees Stress: Moderating Role of Cybersecurity Training” looks at how
different aspects of artificial intelligence (AI) and cybersecurity affect employees’ stress levels
and willingness to report suspicious activity. This study examines the moderating impact of
cybersecurity training on these associations and was published in the International Journal of
Cyber Criminology. By considering employee-related variables, the authors want to provide light
on how firms might improve their cybersecurity incident management.
Connection to Social Sciences Principles
By examining human behavior inside organizational structures, this study draws on social
science. It focuses on how employees view and respond to cybersecurity threats and AI
integration. It explores social topics including organizational culture and training initiatives, as
well as psychological ones like stress and perceived threats. Developing successful tactics that
balance technology improvements with human elements requires an understanding of these
dynamics.
Research Questions or Hypotheses
The study makes a number of beliefs, such as:
The association between employee stress levels and cybersecurity incident management is
mediated by incident reporting of suspicious activity.
The association between incident reporting of suspicious activity and cybersecurity awareness is
moderated by cybersecurity training.
Stress levels among employees are influenced by perceived dangers in AI, with incident
reporting serving as a mediating effect.

In the context of cybersecurity, these theories seek to clarify the intricate relationships that exist
between employee perceptions, organizational procedures, and stress reactions.
Research methods
The authors used surveys to gather information from workers in a variety of businesses as part
of their quantitative study design. The poll assessed a number of characteristics, including staff
stress levels, incident reporting behaviors, AI-related aspects, cybersecurity incident
management methods, and the degree of cybersecurity training obtained. The suggested
hypotheses were then tested and the correlations between the variables were examined using
statistical analysis of the data.
Data And Analysis
Structural equation modeling (SEM) was used in data analysis to evaluate the direct and
indirect interactions between the variables. The findings showed that increased awareness and
efficient cybersecurity incident management have a favorable impact on reporting suspicious
activity, which lowers employee stress levels. Furthermore, these associations were found to be
moderated by cybersecurity training, indicating that well-designed training initiatives might
boost staff members’ self-assurance and proactive approaches to managing cybersecurity risks.
Contributions to society
For policymakers and organizational leaders looking to improve cybersecurity resilience, this
research provides insightful information. In order to strengthen cybersecurity defenses, the
report promotes investments in human capital by highlighting the vital role that staff training
and assistance play. Employee stress can be decreased, incident reporting can be enhanced, and
the organization’s security posture can be strengthened by putting the suggested measures into
practice.
Conclusion
In conclusion, the article offers a thorough examination of the ways in which AI and
cybersecurity-related elements affect employee stress and incident reporting practices. The
moderating effect of cybersecurity training highlights the need for ongoing training and
assistance for staff members. Businesses that give priority to these areas will be in a better
position to successfully negotiate the complexity of today’s cybersecurity issues

Article Review #2: Impact of Cyber-Victimization’s on Anger and Frustration: Role of AI, E-
Governance, and Cyberbullying Coping
By: Jesse Zinsou
4/10/2025
Introduction
With a special focus on rage and frustration, the study “Impact of Cyber-Victimization’s on
Anger and Frustration: Role of AI, E-Governance, and Cyberbullying Coping” examines the
psychological impacts of cyber-victimization. Additionally, it looks at how coping strategies, e-
government, and artificial intelligence (AI) can be used to combat cyberbullying. The study is
relevant to learning how governance, technology, and mental health interact in the digital age.
Relevance to Social Science Principles
By exploring human behavior, emotional reactions, and societal systems, this research touches
on social science concepts. It examines how people respond to being victimized online as well
as the efficacy of governance and technology responses. The study emphasizes how
cyberbullying affects people psychologically and how social structures might help lessen these
impacts.
Research Questions or Hypotheses
The following are the study’s main research questions:
What effects does cyber-victimization have on people’s emotions of rage and frustration?
How might e-government and artificial intelligence help address instances of cyberbullying?
These questions seek to identify the psychological costs associated with cyberbullying and
evaluate how well governance and technology approaches handle these issues.
Research Methods used
The research uses a combination of methods:
Qualitative methods include focus groups and interviews with victims of cyberbullying to learn
about their individual experiences and feelings.
Quantitative methods include surveys that gauge the degree of rage and frustration felt by

those who have been cybervictims.
This combination enables a thorough comprehension of the problem’s statistical and emotional
dimensions.
Connection to PowerPoint Concepts
The study supports ideas covered in class, including:
Social engineering is the study of how online fraudsters deceive their victims.
Cybersecurity Measures: Assessing how AI can be used to identify and stop cyberbullying.
E-Government: Examining how digital platforms and governmental regulations might help
combat cyber-victimization.
Marginalized Groups’ Challenges, Concerns, and Contributions
The difficulties faced by marginalized groups are discussed in the article, especially those who
are disproportionately impacted by cyberbullying, such as youth who identify as LGBTQ+ and
members of minority communities. It draws attention to the ways that cyber-victimization
intensifies emotions of rage and frustration, resulting in social exclusion and mental health
problems. The study also explores how e-government and artificial intelligence may be
customized to effectively assist various populations.
Contributions To Society
The study benefits society in the following ways:
Improving Knowledge: Offering perspectives on the psychological effects of cyberbullying.
Providing information that can direct the creation of beneficial policies and actions is known as
“informing policy.”
Promoting Technological Solutions: Illustrating the ways in which e-government and artificial
intelligence can be used to counteract cyber-victimization.
Conclusion
The article concludes by highlighting the deep emotional toll that cyber-victimization takes as
well as the ways in which AI and e-government may help lessen these repercussions. In order to
solve the issues raised by cyberbullying, it emphasizes the necessity of interdisciplinary

approaches that integrate technology, policy, and mental health support. These interactions
should be further investigated in future studies in order to provide more potent preventative
and supportive measures.

Muthuswamy, P., & Esakki, T. (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), 86-102.
Article Link: