Citation

Yuen, Yee Yen and Kumarasamy, Shageswary and Ismail, Sikiru (2026) Knowledge Hiding in Artificial Intelligence Driven Digital Transformation. Studies in Big Data, 192. pp. 459-475. ISSN 2197-6503

Text Knowledge Hiding in Artificial Intelligence Driven Digital Transformation _ Springer Nature Link.pdf - Published Version Restricted to Repository staff only Download (660kB)

Abstract

Forty-five percent of employees hide knowledge when AI tools are introduced due to the fear of their job roles being substituted. Fifty-two percent of leaders expect knowledge hiding to worsen as AI autonomy increases. Small and medium enterprises with high knowledge hiding rates report 15% lower in return on investment and 70% delay in the process of digital transformation (Deloitte, AI and the workforce: navigating job insecurity. Deloitte Insights, 2023). Knowledge hiding in small and medium enterprises can have a substantial effect on the dynamics of inter-personal interactions between employees and colleagues. Since only 8% of small and medium enterprises audit knowledge flows rigorously, there is little research insights on the key factors that contribute to knowledge hiding at small and medium enterprises after the embracement of AI technology. The purpose of this study is to examine how the presence of AI-powered digital transformation perpetuates knowledge hiding habits at small and medium enterprises in Malaysia. Specifically, this study aims to determine key factors that influence knowledge hiding behaviors during AI-powered digital transformation. A total of 300 survey questionnaires were distributed to employees in medium and large-sized organizations actively implementing AI technologies. Purposive sampling was employed in this study to identify and select respondents who could provide relevant and meaningful insights into the knowledge hiding during AI-powered digital transformation. The analysis result discovers that reward, internal competition and psychological entitlement significantly affect knowledge hiding during AI-powered digital transformation while organizational performance does not have any effect on knowledge hiding in small and medium enterprises. This finding of this study is essential because it is one of the pioneer research projects in Malaysia examines the critical relationship between hiding knowledge during AI powered digital transformation. Theoretically, it helps researchers to understand how internal competitiveness, a lack of knowledge sharing benefits, and psychological entitlement drive the knowledge hiding habits.

Item Type:	Article
Uncontrolled Keywords:	Knowledge hiding, Psychological entitlement
Subjects:	H Social Sciences > HD Industries. Land use. Labor > HD28-70 Management. Industrial Management > HD30.2 Electronic data processing. Information technology. Including artificial intelligence and knowledge management
Divisions:	Faculty of Business (FOB)
Depositing User:	Ms Rosnani Abd Wahab
Date Deposited:	29 Oct 2026 07:01
Last Modified:	29 Oct 2026 07:01
URII:	http://shdl.mmu.edu.my/id/eprint/16994

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