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

Kanokwan Meesook , Narinthon Imjai , Berto Usman , Busaya Vongchavalitkul , Somnuk Aujirapongpan
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引用次数: 0

Abstract

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.
人工智能素养对风险管理技能的影响以及诊断能力和预测能力的作用:来自泰国Z世代会计专业学生的实证见解
本研究调查了泰国Z世代会计学生的人工智能素养、诊断能力、预测能力和风险管理技能之间的关系。采用定量研究设计,收集了400名参与者的数据,并通过偏最小二乘结构方程模型(PLS-SEM)进行分析。结果表明,人工智能素养对诊断和预后能力都有积极影响。反过来,这些能力显著地促进了风险管理技能的发展,其中预测能力显示出更强的效果。研究结果强调了将人工智能知识融入会计教育的价值,以更好地为学生提供必要的分析和风险相关能力,以应对不断变化的数字环境。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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