
Arion Cheong
Assistant Professor
School of Business
Education
- Ph.D. (2021) Rutgers University (Accounting Information Systems)
- M.A. (2017) University of Texas at Austin (Economics)
- B.A. (2015) Kyunghee University (International Studies)
General Information
Arion’s research explores how big data and artificial intelligence can advance accounting, strengthen cybersecurity assurance and reporting, and inform managerial decision-making.
Institutional Service
- Committee on Pedagogical Approaches in the Age of AI, School of Business Member
- Task Force on Undergraduate Student Opportunities, School of Business Member
Professional Service
- American Accounting Association Transformative Technology Workshop Organizing Committee
- Journal of Information Systems (American Accounting Association) Editorial Board
- Journal of Information Systems Associate Editor (Special Issue)
- Bright Internal Global Summit (Association for Information Systems) Program Committee
- Pacific Asia Conference on Information Systems (PACIS) Program Committee
Professional Societies
- EAA – European Accounting Association Member
Selected Publications
Conference Proceeding
- Cheong, A.; Wang, T. D. (2022). The Invisible Risk: The Data-sharing Activities of Data Brokers and Information Leakage. PROCEEDINGS OF THE 2021 PRE-ICIS SIGDSA SYMPOSIUM. Association of Information Systems.
https://aisel.aisnet.org/sigdsa2021/13/.
Journal Article
- Cheong, A.; Kassar, M.; Li, H. (2026). A Risk Assessment Framework for Cognitive Process Automation in Audit. Journal of Emerging Technologies in Accounting (vol. 1-12). American Accounting Association.
https://publications.aaahq.org/jeta/article-abstract/doi/10.2308/JETA-2024-031/24004/A-Risk-Assessment-Framework-for-Cognitive-Process. - Cheong, A.; Choi, W.; Gong, J.. Effects of Corporate Social Responsibility Performance on CEO Compensation and Turnover. Advances in Accounting (100901 ed., vol. 71). ScienceDirect.
https://www.sciencedirect.com/science/article/pii/S0882611026000362. - Cheong, A.; Duan, H. K.; Huang, Q.; Vasarhelyi, M. A.; Zhang, C. A. (2022). The rise of accounting: Making accounting information relevant again with exogenous data. Journal of Emerging Technologies in Accounting (1 ed., vol. 19, pp. 1-20). Florida: American Accounting Association.
https://publications.aaahq.org/jeta/article-abstract/19/1/1/10206/The-Rise-of-Accounting-Making-Accounting. - Cho, S.; Lee, K.; Cheong, A.; No, W. G.; Vasarhelyi, M. (2021). Chain of Values: Examining the Economic Impacts of Blockchain on the Value-Added Tax System. Journal of Management Information Systems (2 ed., vol. 38, pp. 288-313). Taylor & Francis.
https://www.tandfonline.com/doi/abs/10.1080/07421222.2021.1912912. - Cheong, A.; Yoon, K.; Cho, S.; No, W. G. (2021). Classifying the contents of cybersecurity risk disclosure through textual analysis and factor analysis. Journal of Information Systems (vol. 35(2), pp. 179-194). American Accounting Association.
https://publications.aaahq.org/jis/article-abstract/35/2/179/960/Classifying-the-Contents-of-Cybersecurity-Risk. - Vasarhelyi, M. A.; Cho, S.; Cheong, A.; Zhang, C. (2020). Smart Audit: the digital transformation of audit. European Court of Auditors Journal (vol. 1, pp. 27-32).
https://medium.com/ecajournal/smart-audit-the-digital-transformation-of-audit-b283e1653bd4. - Brown-Liburd, H.; Cheong, A.; Vasarhelyi, M. A.; Wang, X. (2019). Measuring with exogenous data (MED), and government economic monitoring (GEM). Journal of Emerging Technologies in Accounting (1 ed., vol. 16, pp. 1-19). American Accounting Association.