The Knowledge Management Practices and Firm Performance: The Moderating Role of Digital Human-AI Interaction in High-Tech Enterprises of China and Malaysia

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Abstract This study investigates the relationship between knowledge management practices and firm performance in high-tech enterprises, with a particular focus on the moderating effect of digital human-AI interaction. Using panel data collected from 8,950 firm-year observations of Chinese and Malaysian high-tech enterprises from the CNRDS (Chinese Research Data Services) and CSMAR (China Stock Market & Accounting Research Database), this research empirically examines how knowledge sharing mechanisms influence organizational outcomes across different cultural and technological contexts. Our findings reveal that knowledge management practices significantly enhance firm performance metrics, with this relationship being positively moderated by the level of digital human-AI interaction implementation. The comparative analysis between Chinese and Malaysian firms demonstrates important contextual differences in knowledge utilization patterns, with Chinese firms showing stronger benefits from explicit knowledge management systems while Malaysian firms derive greater value from tacit knowledge sharing practices. Furthermore, firms exhibiting higher levels of AI integration in knowledge processes demonstrate superior performance improvements. This research contributes to the theoretical understanding of knowledge management in the era of AI and provides practical insights for managers in high-tech industries seeking to optimize their knowledge assets through technological advancement.
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The Knowledge Management Practices and Firm Performance: The Moderating Role of Digital Human-AI Interaction in High-Tech Enterprises of China and Malaysia | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article The Knowledge Management Practices and Firm Performance: The Moderating Role of Digital Human-AI Interaction in High-Tech Enterprises of China and Malaysia Jun Cui This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6443084/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract This study investigates the relationship between knowledge management practices and firm performance in high-tech enterprises, with a particular focus on the moderating effect of digital human-AI interaction. Using panel data collected from 8,950 firm-year observations of Chinese and Malaysian high-tech enterprises from the CNRDS (Chinese Research Data Services) and CSMAR (China Stock Market & Accounting Research Database), this research empirically examines how knowledge sharing mechanisms influence organizational outcomes across different cultural and technological contexts. Our findings reveal that knowledge management practices significantly enhance firm performance metrics, with this relationship being positively moderated by the level of digital human-AI interaction implementation. The comparative analysis between Chinese and Malaysian firms demonstrates important contextual differences in knowledge utilization patterns, with Chinese firms showing stronger benefits from explicit knowledge management systems while Malaysian firms derive greater value from tacit knowledge sharing practices. Furthermore, firms exhibiting higher levels of AI integration in knowledge processes demonstrate superior performance improvements. This research contributes to the theoretical understanding of knowledge management in the era of AI and provides practical insights for managers in high-tech industries seeking to optimize their knowledge assets through technological advancement. Information Retrieval and Management Knowledge management firm performance digital human-AI interaction high-tech enterprises cross-cultural comparison knowledge sharing tacit knowledge explicit knowledge Full Text Additional Declarations The authors declare no competing interests. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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