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Technology acceptance of artificial intelligence (AI) among heads of finance and accounting units in the shared service industry

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  • Norzelan, Nur Azira
  • Mohamed, Intan Salwani
  • Mohamad, Maslinawati

Abstract

This research intends to investigate the technology acceptance of artificial intelligence (AI) among the heads of finance and accounting units in the shared service industry, using the Theory of Planned Behavior (TPB) and the Unified Theory of Acceptance and Use of Technology (UTAUT). A structured questionnaire was used to conduct a cross-sectional study of 75 heads or representatives of the Shared Service Industry in the Finance and Accounting departments. The findings show that performance expectancy, attitude, skill, and technical capability all have a major impact on AI technology acceptance. On the other hand, there is no link between AI technology acceptance and effort expectancy, social influence, or facilitating conditions. The findings provide insights on the important areas that need to be prioritized when businesses use AI, particularly in finance and accounting.

Suggested Citation

  • Norzelan, Nur Azira & Mohamed, Intan Salwani & Mohamad, Maslinawati, 2024. "Technology acceptance of artificial intelligence (AI) among heads of finance and accounting units in the shared service industry," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
    • Handle: RePEc:eee:tefoso:v:198:y:2024:i:c:s0040162523007072
    DOI: 10.1016/j.techfore.2023.123022
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    References listed on IDEAS

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    1. Amany Elbanna, 2013. "Top management support in multiple-project environments: an in-practice view," European Journal of Information Systems, Taylor & Francis Journals, vol. 22(3), pages 278-294, May.
    2. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    3. Xavier Vives, 2008. "Innovation And Competitive Pressure," Journal of Industrial Economics, Wiley Blackwell, vol. 56(3), pages 419-469, December.
    4. Howieson, Bryan, 2003. "Accounting practice in the new millennium: is accounting education ready to meet the challenge?," The British Accounting Review, Elsevier, vol. 35(2), pages 69-103.
    5. Garrison, Gary & Wakefield, Robin L. & Kim, Sanghyun, 2015. "The effects of IT capabilities and delivery model on cloud computing success and firm performance for cloud supported processes and operations," International Journal of Information Management, Elsevier, vol. 35(4), pages 377-393.
    6. repec:eme:aaaj00:aaaj-07-2015-2139 is not listed on IDEAS
    7. Gursoy, Dogan & Chi, Oscar Hengxuan & Lu, Lu & Nunkoo, Robin, 2019. "Consumers acceptance of artificially intelligent (AI) device use in service delivery," International Journal of Information Management, Elsevier, vol. 49(C), pages 157-169.
    8. Khaldoon Al-Htaybat & Larissa von Alberti-Alhtaybat, 2017. "Big Data and corporate reporting: impacts and paradoxes," Accounting, Auditing & Accountability Journal, Emerald Group Publishing Limited, vol. 30(4), pages 850-873, May.
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    Cited by:

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