STRATEGIES INFLUENCING ARTIFICIAL INTELLIGENCE (AI) ADOPTION AMONG ACCOUNTING PERSONNEL IN MALAYSIA: A FUZZY DELPHI ANALYSIS
DOI:
https://doi.org/10.35631/AIJBES.828052Keywords:
Artificial Intelligence, Accounting Personnel, Digital Transformation, Malaysia, Fuzzy Delphi Method, Strategies in AI AdoptionAbstract
Purpose. Artificial Intelligence (AI) has become increasingly important in transforming accounting practices through automation, predictive analytics, intelligent auditing systems, and cloud accounting technologies. Despite rapid technological development and government initiatives to encourage digital transformation, the adoption of AI among accounting personnel in Malaysia remains relatively low. Therefore, this study aims to identify the important strategies influencing AI adoption among accounting personnel in Malaysia. Problem statement. Accounting personnel remain reluctant to adopt the technology, despite many campaigns and awareness have been carried out by the companies and government. The hesitation to adopt AI because of lack of knowledge, concern about security and confidentiality, lack of trust and the strong preference for using traditional methods to complete the accounting tasks. Furthermore, the function and application of AI are very complex and costly. Small accounting businesses are unable to adopt AI due to insufficient funds and limited awareness of AI adoption. Methodology. This study focuses on strategies for AI adoption among accounting personnel in Malaysia using the Fuzzy Delphi method. A total of 15 accounting experts were selected as respondents, of which 5 were from academia and 10 were from industry. There are 5 aspects and 26 criteria proposed in this study. Findings: The results showed that only 4 aspects and 13 criteria were accepted at a threshold of 0.44 for aspects as well as criteria. The findings revealed that support from government, vendors, and management, responsible AI development, cost effectiveness, and accelerated AI adoption were identified as the most important factors influencing AI adoption among accounting personnel in Malaysia. Implications: The study contributes to the literature by providing expert consensus regarding strategic factors influencing AI adoption among accounting personnel. The findings also provide practical implications for policymakers, professional accounting bodies, and organizations in developing effective AI adoption strategies.
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References
Abdullah, A. A. H., & Almaqtari, F. A. (2024). The impact of artificial intelligence and Industry 4.0 on transforming accounting and auditing practices. Journal of Open Innovation: Technology, Market, and Complexity, 10(1), 100218. https://doi.org/10.1016/j.joitmc.2024.100218
Adler, M., & Ziglio, E. (1996). Gazing into the oracle: The Delphi method and its application to social policy and public health. Jessica Kingsley Publishers.
Adnan, M. F., Bahrudin, A. N., & Hashim, S. (2024). Factors influencing the adoption of artificial intelligence (ai) based accounting system in malaysian organization: a conceptual paper. Accounting and Finance Research, 13(2), 1-80. Doi: 10.5430/afr.13n2p80
Al-Sayyed, S., Al-Aroud, S., & Zayed, L. (2021). The effect of artificial intelligence technologies on audit evidence. Accounting, 7(2), 281-288. https://doi.org/10.5267/j.ac.2020.12.003
Askary, S., Abu-Ghazaleh, N., & Tahat, Y. A. (2018, October). Artificial intelligence and reliability of accounting information. In Conference on e-Business, e-Services and e-Society (pp. 315-324). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-02131-3_28
Ericsson, K. A. (2003b). Exceptional memorizers: Made, not born. Trends in Cognitive Sciences, 7, 233–235.
Ericsson, K. A. (2004). Deliberate practice and the acquisition and maintenance of expert performance in medicine and related domains. Academic Medicine, 10, S1–S12.
Ghani, E. K., Ariffin, N., & Sukmadilaga, C. (2022). Factors influencing artificial intelligence adoption in publicly listed manufacturing companies: a technology, organisation, and environment approach. International Journal of Applied Economics, Finance and Accounting, 14(2), 108-117. https://doi.org/10.33094/ijaefa.v14i2.667
Jackson, D., & Allen, C. (2024). Technology adoption in accounting: the role of staff perceptions and organisational context. Journal of Accounting & Organizational Change, 20(2), 205-227. https://doi.org/10.1108/JAOC-01-2023-0007
Jackson, D., & Allen, C. (2024). Enablers, barriers and strategies for adopting new technology in accounting. International Journal of Accounting Information Systems, 52, 100666.
Jamil, M. R. M., Noh, N. M., Hussin, Z., & Alias, N. (2017). Application of Fuzzy Delphi Method in educational research: A review of the literature. International Journal of Academic Research in Business and Social Sciences, 7(6), 235-248.
Karimabadi, M., Hajiha, Z., Jahangirnia, H., Gholami Jamkarani, R. (2022). Explaining Professional Ethical Priorities in Auditing using the Delphi Fuzzy Approach. Iranian Journal of Accounting, Auditing and Finance, 6(1), 25-33. https://doi.org/ 10.22067/ijaaf.2022.41586
Lutfi, A., Alkelani, S. N., Al-Khasawneh, M. A., Alshira’h, A. F., Alshirah, M. H., Almaiah, M. A., ... & Ibrahim, N. (2022). Influence of digital accounting system usage on SMEs performance: The moderating effect of COVID-19. Sustainability, 14(22), 15048. https://doi.org/10.3390/su142215048
Malaysian Institute of Accountants (MIA). (2025). Survey on AI adoption among accounting professionals in Malaysia.
Malayan Institute of Accountants (MIA) Survey 2022: Report on Technology Adoption by The Accounting Profession in Malaysia
Manakandan, S. K., Rosnah, I., Mohd, R. J., & Priya, R. (2017). Pesticide applicators questionnaire content validation: A Fuzzy Delphi method. Med J Malaysia, 72(4), 228-235.
Noordin, N. A., Hussainey, K., & Hayek, A. F. (2022). The use of artificial intelligence and audit quality: An analysis from the perspectives of external auditors in the UAE. Journal of Risk and Financial Management, 15(8), 339. https://doi.org/10.3390/jrfm15080339
Osei-Assiey Bonsu, M., Wang, Y., & Guo, Y. (2023). Does fintech lead to better accounting practices? Empirical evidence. Accounting Research Journal, 36(2/3), 129-147. https://doi.org/10.1108/ARJ-07-2022-0178
Rababah, A., Al-Shahi, B., Al-Zeadi, B., Al-Saadi, A., Al-Senani, R., & Al-Washahi, A. (2022, July). Barriers to Artificial Intelligence in Accounting Implementation in Oman. In Eurasia Business and Economics Society Conference (pp. 301-315). Cham: Springer Nature Switzerland.
