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Factors Influencing Artificial Intelligence Adoption in Publicly Listed Manufacturing Companies: A Technology, Organisation, and Environment Approach

Author

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  • Erlane K Ghani
  • Nurshahiirah Ariffin
  • Citra Sukmadilaga

Abstract

This study examines the factors influencing artificial intelligence (AI) adoption in publicly listed manufacturing companies in Malaysia. Specifically, three factors are investigated based on the technology, organisation, and environment (TOE) framework: information technology (IT) capability, top management support, and government support. Using a questionnaire survey of 127 respondents from publicly listed manufacturing companies in Malaysia, this study shows that top management support and government support significantly affect AI adoption in publicly listed manufacturing companies. However, the results show that IT capability does not significantly influence the AI adoption of publicly listed manufacturing companies. Thus, the findings provide evidence of the influence of IT capability, top management support, and government support on AI adoption in publicly listed manufacturing companies. In addition, the findings of this study contribute to the existing literature on AI adoption in publicly listed manufacturing companies in Malaysia.

Suggested Citation

  • Erlane K Ghani & Nurshahiirah Ariffin & Citra Sukmadilaga, 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, Online Academic Press, vol. 14(2), pages 108-117.
    • Handle: RePEc:oap:ijaefa:v:14:y:2022:i:2:p:108-117:id:667
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    Citations

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    Cited by:

    1. Dr Ummi Farhani binti Firdaus & Nurul Aqmal bin Roslan & W Fatimah Hanun binti Wan Mohamad Saferdin & Izyan Farhana binti Zulkarnain & Nur Farhani binti Samasu, 2024. "AI Integration in Malaysian Public Administration for Improved Governance," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 8(9), pages 3799-3812, September.
    2. Muhammad Yusuf Bin Masod & Siti Farhana Zakaria, 2024. "Artificial Intelligence Adoption in the Manufacturing Sector: Challenges and Strategic Framework," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 8(10), pages 150-158, October.

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