The influence of AI literacy on risk management skills and the roles of diagnostic capabilities and prognostic capabilities: Empirical insight from Thai gen Z accounting students
• AI literacy strengthens diagnostic and prognostic capabilities. • The challenges and opportunities in applying AI for risk management. • Applying AI for risk management are crucial issues that the new generation of accountants, or Gen Z, face in the digital era. • The importance of developing AI literacy in accounting curricula to equip students. This study investigates the relationship between AI literacy, diagnostic capabilities, prognostic capabilities, and risk management skills among Generation Z accounting students in Thailand. Using a quantitative research design, data were collected from 400 participants and analyzed through Partial Least Squares Structural Equation Modeling (PLS-SEM). The results show that AI literacy positively influences both diagnostic and prognostic capabilities. In turn, these capabilities significantly contribute to the development of risk management skills, with prognostic capabilities showing a stronger effect. The findings highlight the value of integrating AI literacy into accounting education to better prepare students with essential analytical and risk-related competencies for the evolving digital landscape.
Authors
- Busaya Vongchavalitkul (ORCID: https://orcid.org/0000-0002-0177-9234)
- Berto Usman (ORCID: https://orcid.org/0000-0003-0210-3858)
- Kanokwan Meesook
- Somnuk Aujirapongpan (ORCID: https://orcid.org/0000-0001-6275-9053)
- Narinthon Imjai (ORCID: https://orcid.org/0009-0005-7801-4343)
Institutions
- Southeast Asia University (TH)
- Southeast Bangkok College (TH)
- Nakhon Si Thammarat Rajabhat University (TH)
- University of Bengkulu (ID)
- Bangkok University (TH)
- Silpakorn University (TH)
- Walailak University (TH)
Publication Details
- Journal
- International Journal of Information Management Data Insights
- Published
- 2025-05-01
- DOI
- https://doi.org/10.1016/j.jjimei.2025.100341
- Primary Topic
- Impact of AI and Big Data on Business and Society
- Type
- article
- Field-Weighted Citation Impact
- 0.00