The Impact of Knowledge Management Dynamic Capabilities and Knowledge Sharing on Firm Performance: The Mediating Role of GAI Technology Innovation and Moderating Effect of Human-AI Interaction

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This preprint studied how knowledge management dynamic capabilities (KMDC) and knowledge-based sharing (KBS) relate to organizational performance in 276 Chinese internet/digital firms, using a mixed-methods design that combined structural equation modeling (SEM) with fuzzy-set qualitative comparative analysis (fsQCA). The authors found that both KMDC and KBS positively influence organizational performance, and that generative AI (GAI) technology innovation mediates these relationships. They also reported that Human–AI interaction positively moderates the effects. A major caveat is that the work is a Research Square preprint that has not been peer reviewed. The paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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Abstract This study investigates the relationship between knowledge management dynamic capabilities (KMDC), knowledge-based sharing (KBS), and organizational performance in Chinese digital firms. Drawing on dynamic capabilities theory and knowledge-based view, the research proposes a comprehensive model examining how generative artificial intelligence (GAI) technology innovation mediates this relationship and how Human-AI interaction moderates these effects. Using a mixed-methods approach combining structural equation modeling (SEM) and fuzzy-set qualitative comparative analysis (fsQCA), Thus, we analyze data from 276 firms in China's internet digital industry. Results reveal that both KMDC and KBS positively influence organizational performance, with GAI technology innovation serving as a significant mediator. Furthermore, Human-AI interaction positively moderates these relationships. The findings provide theoretical contributions to knowledge management literature and practical implications for digital firms seeking to enhance performance through knowledge management initiatives and emerging technologies.
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The Impact of Knowledge Management Dynamic Capabilities and Knowledge Sharing on Firm Performance: The Mediating Role of GAI Technology Innovation and Moderating Effect of Human-AI Interaction | 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 Impact of Knowledge Management Dynamic Capabilities and Knowledge Sharing on Firm Performance: The Mediating Role of GAI Technology Innovation and Moderating Effect of Human-AI Interaction Jun Cui This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6581714/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 dynamic capabilities (KMDC), knowledge-based sharing (KBS), and organizational performance in Chinese digital firms. Drawing on dynamic capabilities theory and knowledge-based view, the research proposes a comprehensive model examining how generative artificial intelligence (GAI) technology innovation mediates this relationship and how Human-AI interaction moderates these effects. Using a mixed-methods approach combining structural equation modeling (SEM) and fuzzy-set qualitative comparative analysis (fsQCA), Thus, we analyze data from 276 firms in China's internet digital industry. Results reveal that both KMDC and KBS positively influence organizational performance, with GAI technology innovation serving as a significant mediator. Furthermore, Human-AI interaction positively moderates these relationships. The findings provide theoretical contributions to knowledge management literature and practical implications for digital firms seeking to enhance performance through knowledge management initiatives and emerging technologies. Knowledge management dynamic capabilities Knowledge sharing Organizational performance GAI technology innovation Human-AI interaction Chinese digital firms Full Text Additional Declarations The authors declare no competing interests. Consent Written informed consent was obtained from all participants (or their legal guardians) for participation in the study and for publication of the data 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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