Exploring the Driving Factors of Accounting Professionals' Intention to Adopt AI-Based Accounting Tools in Sri Lanka

Abstract

AI-based accounting tools and the automation of accounting processes have emerged as a growing trend in the corporate sector, aiming to enhance efficiency and reduce costs. This study aims to investigate the organizational and individual factors that influence the adoption of artificial intelligence (AI) in accounting in Sri Lanka's public sector, focusing on understanding the role of technological, cultural, and socio-economic contexts in shaping adoption intentions. The methodology of this study follows a survey approach, targeting professionals working in the Accounting and Finance fields to examine the research model. The researchers employed a structured sampling method and distributed 302 questionnaires. Cronbach's alpha, Pearson correlation, and regression analysis have been used as statistical tools to measure the relationship among the variables. SPSS has been used as a statistical software for analyzing data. The Findings show that organizational culture, regulatory support, perceived usefulness, and ease of use significantly contribute to AI adoption. Additionally, perceived usefulness and ease of use indirectly influence AI adoption through accounting profit and behavioral intention. However, resource availability, effective communication channels, and competitive pressure do not significantly impact AI adoption. The findings of this study will be helpful in further studies related to AI-based accounting Tools in Sri Lanka and institutions interested in enhancing AI-based accounting tools and automating accounting processes in developing countries like Sri Lanka.