AI Trust and Knowledge Management Practices in Enhancing Employee Innovation: Moderating Effect of Career Resilience

Muhammad Saddam Hussain, Haiyan Kong, Muhammad Junaid Bashir, Junaid Jahangir, Ziwei Yu

Abstract


This study uses Knowledge Sharing (KSH), Knowledge Documentation (KDC), Knowledge Creation (KCR), and Knowledge Application (KAP) to examine how AI Trust (ATR) affects Employee Innovative Behavior (EIB). The main goal is to examine AI Trust's direct and indirect effects on creativity and Career Resilience (CRL)'s moderating role. The study employed a standardized questionnaire to collect data from IT staff in China, Saudi Arabia, and Pakistan. This study uses quantitative research. Data analysis was done using SMART PLS 4.0 on 678 replies. ATR directly and indirectly affects EIB through knowledge management strategies. CRL moderates ATR and Innovation, strengthening it. The study emphasizes the importance of knowledge management and ATR in organizations to foster innovation. This research could help organizations foster creativity using artificial intelligence. These findings may potentially affect managers and politicians trying to boost employee creativity and responsiveness to technology.


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DOI: https://doi.org/10.5430/jms.v16n1p65

Journal of Management and Strategy
ISSN 1923-3965 (Print)   ISSN 1923-3973 (Online)

 

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