EconPapers    
Economics at your fingertips  
 

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

Erlane K Ghani (), Nurshahiirah Ariffin () and Citra Sukmadilaga ()

International Journal of Applied Economics, Finance and Accounting, 2022, vol. 14, issue 2, 108-117

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.

Keywords: Artificial intelligence; Information technology capability; Top management support; Government support; Manufacturing companies. (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations: Track citations by RSS feed

Downloads: (external link)
http://onlineacademicpress.com/index.php/IJAEFA/article/view/667/646 (application/pdf)
http://onlineacademicpress.com/index.php/IJAEFA/article/view/667/668 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:oap:ijaefa:v:14:y:2022:i:2:p:108-117:id:667

Access Statistics for this article

More articles in International Journal of Applied Economics, Finance and Accounting from Online Academic Press
Bibliographic data for series maintained by Heather Rothman ().

 
Page updated 2022-10-05
Handle: RePEc:oap:ijaefa:v:14:y:2022:i:2:p:108-117:id:667