Abstract
While prior studies in Information Systems have recognized the important role of human factors in influencing cybersecurity risks, the focus has primarily been on a few high-ranking individuals within the organizations, such as Chief Information Officers. Our study diverges by adopting a comprehensive perspective, highlighting the important role played by employees across all hierarchical levels within the organization. Specifically, we investigate whether the turnover of employees engaged in IT-related tasks (i.e., IT employees) across all levels affects a firm’s cybersecurity risks. Using a deep learning technique, we identify all IT employees based on their job titles. Our empirical results show that there is a positive correlation between IT employee turnover and the likelihood of a firm experiencing data breaches. Further analysis reveals that recruiting new IT employees cannot mitigate the negative impact. Our study has both theoretical and practical implications for cybersecurity risk management. © 2024 International Conference on Information Systems.
| Original language | English |
|---|---|
| Publication status | Presented - Dec 2024 |
| Event | 45th International Conference on Information Systems (ICIS 2024): “Digital Platforms for Emerging Societies” - Bangkok Marriott Marquis Queen’s Park, Bangkok, Thailand Duration: 15 Dec 2024 → 18 Dec 2024 https://icis2024.aisconferences.org/ |
Conference
| Conference | 45th International Conference on Information Systems (ICIS 2024) |
|---|---|
| Abbreviated title | ICIS 2024 |
| Place | Thailand |
| City | Bangkok |
| Period | 15/12/24 → 18/12/24 |
| Internet address |
Funding
This study is supported by National Key Research and Development Program of China (2022YFC3321104) and National Natural Science Foundation of China (71901169).
Research Keywords
- Cybersecurity risks
- data breaches
- IT employee turnover
- deep learning
- BERT
Fingerprint
Dive into the research topics of 'From Departure to Breach: The Impact of IT Employee Turnover on Cybersecurity Risks'. Together they form a unique fingerprint.Prizes
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Best ICIS 2024 Student Paper in Honor of TP Liang
LIANG, Z. (Recipient), XU, S. (Recipient), CHEN, D. J. (Recipient), LI, J. (Recipient) & LIU, B. (Recipient), 17 Dec 2024
Prize: RGC 64B - Prizes and awards
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