Challenges Faced by Accounting Professionals in Artificial Intelligence-Based Technology Environment and Determinants of Acceptance

Chun-T’ing Loh (), Yen-Hong Ng, Ah-Suat Lee, Yoon-Mei Chin and Pik-Yin Foo
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Chun-T’ing Loh: Universiti Tunku Abdul Rahman, Faculty of Business and Finance
Yen-Hong Ng: Universiti Tunku Abdul Rahman, Faculty of Business and Finance
Ah-Suat Lee: Universiti Tunku Abdul Rahman, Faculty of Business and Finance
Yoon-Mei Chin: Universiti Tunku Abdul Rahman, Faculty of Business and Finance
Pik-Yin Foo: Universiti Tunku Abdul Rahman, Faculty of Business and Finance

A chapter in Proceedings of the 11th International Conference on Business, Accounting, Finance and Economics (BAFE 2023), 2023, pp 57-65 from Springer

Abstract: Abstract Artificial intelligence (AI) refers to the ability of machines to perform tasks on behalf of humans, while learning over time. With digital technologies, repetitive and routine accounting tasks can be performed with the assistance of AI-based technology. This provides accounting professionals with more time to focus on tasks that require judgement and skills beyond the scope of AI. Additionally, a company can gain benefits such as cost savings from improved efficiencies in accounting functions. However, without the acceptance of AI-based technology by accounting professionals, it is unlikely the company will realize these benefits. This paper aims to investigate the key challenges faced by accounting professionals in adopting AI-based technology. The research examines, from the perspective of the Technology Acceptance Model (TAM), how perceived ease of use, perceived usefulness, and trust as an additional variable determine AI-based technology acceptance among accounting professionals. The study concludes with a conceptual framework to provide insights on forces driving the use of AI-based technology in the accounting profession.

Keywords: Artificial intelligence; Challenges; TAM; Technology acceptance; Accounting professionals (search for similar items in EconPapers)
Date: 2023
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DOI: 10.2991/978-94-6463-342-9_5

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