Victoria Asare
CYSE 201S
Diwakar Yalpi
9/20/2024.
Title- Impact of Cybersecurity and AI’s Related Factors on Incident Reporting Suspicious Behavior and Employees Stress: Moderating Role of Cybersecurity Training. (“View of Impact of Cybersecurity and AI’s Related Factors on Incident …”)
Article Citation: Muthuswamy, V. V., & Esakki, S. (2024). Impact of Cybersecurity and AI’s Related Factors on Incident Reporting Suspicious Behavior. International Journal of Cyber Criminology, 18(1), 83–1.
https://cybercrimejournal.com/menuscript/index.php/cybercrimejournal/article/view/330/9907. DOI: 10.5281/zenodo.4766805.
In their article: Muthuswamy and Esakki examine the complex connections between cybersecurity, artificial intelligence (AI), and employee stress in organizations. They emphasize the importance of proper incident reporting in the face of rising cyber threats, highlighting how different elements impact employee behavior and mental well-being.
Relation to Social Sciences Principles
The article draws on social science principles to explore human behavior in organizations. It looks at how psychological factors, like stress and the motivation to report suspicious activities, affect how employees engage with cybersecurity measures. By connecting individual actions to larger systemic issues, the study emphasizes the role of social dynamics in shaping organizational practices.
Research Questions: The study poses several key research questions aimed at exploring the connections between technological factors and human responses in the workplace.
1. How do AI-related factors impact the reporting of suspicious behavior by employees?
2. What is the relationship between cybersecurity training and employee stress levels?
3. Does cybersecurity training moderate the effects of AI on incident reporting and stress?
Research Methods
The authors adopt a mixed-methods approach that combines qualitative and quantitative research techniques. They use surveys to collect numerical data about employee perceptions and experiences, while interviews offer more in-depth insights into their motivations and challenges. This thorough approach helps to create a more nuanced understanding of the issues involved.
Data Collection and Analysis
Data is collected through surveys from employees across various sectors, focusing on their experiences with cybersecurity, AI tools, and training programs. The analysis employs statistical methods to evaluate correlations between variables, alongside thematic analysis of qualitative data to identify common themes related to employee stress and reporting behaviors.
Relation to PowerPoint Concepts
The findings align closely with concepts presented in PowerPoint discussions, particularly regarding the role of technology in shaping workplace behavior and the importance of training. Topics such as organizational culture, employee empowerment, and the psychological impact of surveillance technologies provide a framework for understanding the dynamics explored in the study. This reinforces the notion that effective training fosters an initiative-taking and supportive work environment.
Challenges for Marginalized Groups
The study addresses concern relevant to marginalized groups, highlighting how stress and cybersecurity practices can disproportionately affect vulnerable employees. Those with limited access to training or resources may feel overwhelmed by cybersecurity demands. The authors advocate for inclusive training programs that cater to diverse employee needs, aiming to bridge gaps in understanding and support within organizations.
Overall Contributions to Society
Muthuswamy and Esakki’s research highlights the importance of effective cybersecurity training that combines technical skills with a focus on psychological well-being. By raising awareness and encouraging proactive incident reporting, organizations can improve security while also supporting their employees’ mental health. This dual approach not only safeguards against cyber threats but also builds a more resilient workforce, contributing to safer digital environments for society.
In summary: Muthuswamy and Esakki’s research provides important insights into the relationship between technology, employee behavior, and organizational culture. It stresses the need to consider both technical and human aspects in cybersecurity initiatives, leading to more effective and supportive practices within organizations.
Reference Muthuswamy, V. V., & Esakki, S. (2024). Impact of Cybersecurity and AI’s Related Factors on Incident Reporting Suspicious Behavior. International Journal of Cyber Criminology, 18(1), 83–1
https://cybercrimejournal.com/menuscript/index.php/cybercrimejournal/article/view/330/9907. DOI: 10.5281/zenodo.4766805.