Innovation and Supply Chain Efficiency in Chinese High-Tech Enterprises: The Moderating Role of Human-AI Collaboration

Innovation and Supply Chain Efficiency in Chinese High-Tech Enterprises: The Moderating Role of Human-AI Collaboration | 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 Innovation and Supply Chain Efficiency in Chinese High-Tech Enterprises: The Moderating Role of Human-AI Collaboration Jun Cui This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6632576/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 impact of innovation capabilities on supply chain efficiency in Chinese high-tech enterprises, with particular attention to the moderating role of human-AI collaboration. Using panel data from 8,900 firm-year observations collected from the Chinese Research Data Services (CNRDS) and China Stock Market & Accounting Research Database (CSMAR) between 2015 and 2023, we employ multiple regression models to analyze this relationship. The findings indicate that innovation capabilities significantly enhance supply chain efficiency through improved process optimization and resource allocation. Moreover, human-AI collaboration positively moderates this relationship, amplifying the positive effects of innovation on supply chain performance. The results suggest that enterprises integrating advanced human-AI collaborative approaches can better leverage their innovation investments to achieve superior supply chain outcomes. Consequently, this research contributes to the literature on new productivity paradigms in Chinese high-tech industries and offers practical implications for managers seeking to enhance operational efficiency through innovation and intelligent collaboration systems. Innovation capabilities supply chain efficiency human-AI collaboration Chinese high-tech enterprises panel data process optimization resource allocation multiple regression intelligent collaboration systems new productivity paradigms 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. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-6632576","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":454575458,"identity":"d39b705e-1f67-4a45-90b8-a3323cc170d6","order_by":0,"name":"Jun Cui","email":"data:image/png;base64,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","orcid":"https://orcid.org/0009-0002-9693-9145","institution":"solbridge international School of Business","correspondingAuthor":true,"prefix":"","firstName":"Jun","middleName":"","lastName":"Cui","suffix":""}],"badges":[],"createdAt":"2025-05-10 05:30:39","currentVersionCode":1,"declarations":{"humanSubjects":false,"vertebrateSubjects":true,"conflictsOfInterestStatement":false,"humanSubjectEthicalGuidelines":false,"humanSubjectConsent":false,"humanSubjectClinicalTrial":false,"humanSubjectCaseReport":false,"vertebrateSubjectEthicalGuidelines":true},"doi":"10.21203/rs.3.rs-6632576/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-6632576/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":82573692,"identity":"f34e9480-2be1-47bf-93fd-fb90529cea74","added_by":"auto","created_at":"2025-05-13 04:56:29","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":294948,"visible":true,"origin":"","legend":"","description":"","filename":"HumanAIAIDriveDigitalNFPCScholarSample2preprint.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6632576/v1_covered_87f9e8dc-4d3b-45b0-98bd-11134de6197c.pdf"}],"financialInterests":"The authors declare no competing interests.","formattedTitle":"\u003cp\u003eInnovation and Supply Chain Efficiency in Chinese High-Tech Enterprises: The Moderating Role of Human-AI Collaboration\u003c/p\u003e","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":true,"highlight":"","institution":"Woosong University","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Innovation capabilities, supply chain efficiency, human-AI collaboration, Chinese high-tech enterprises, panel data, process optimization, resource allocation, multiple regression, intelligent collaboration systems, new productivity paradigms","lastPublishedDoi":"10.21203/rs.3.rs-6632576/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-6632576/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThis study investigates the impact of innovation capabilities on supply chain efficiency in \u0026nbsp;Chinese high-tech enterprises, with particular attention to the moderating role of human-AI \u0026nbsp;collaboration. Using panel data from 8,900 firm-year observations collected from the Chinese \u0026nbsp;Research Data Services (CNRDS) and China Stock Market \u0026amp; Accounting Research Database \u0026nbsp;(CSMAR) between 2015 and 2023, we employ multiple regression models to analyze this \u0026nbsp;relationship. The findings indicate that innovation capabilities significantly enhance supply chain \u0026nbsp;efficiency through improved process optimization and resource allocation. Moreover, human-AI \u0026nbsp;collaboration positively moderates this relationship, amplifying the positive effects of innovation \u0026nbsp;on supply chain performance. The results suggest that enterprises integrating advanced human-AI \u0026nbsp;collaborative approaches can better leverage their innovation investments to achieve superior \u0026nbsp;supply chain outcomes. Consequently, this research contributes to the literature on new productivity \u0026nbsp;paradigms in Chinese high-tech industries and offers practical implications for managers seeking \u0026nbsp;to enhance operational efficiency through innovation and intelligent collaboration systems.\u003c/p\u003e","manuscriptTitle":"Innovation and Supply Chain Efficiency in Chinese High-Tech Enterprises: The Moderating Role of Human-AI Collaboration","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-05-13 04:48:22","doi":"10.21203/rs.3.rs-6632576/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"af0e4e86-58ab-4f21-9c6a-fcb3ca44c731","owner":[],"postedDate":"May 13th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2025-05-13T04:48:22+00:00","versionOfRecord":[],"versionCreatedAt":"2025-05-13 04:48:22","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-6632576","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-6632576","identity":"rs-6632576","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}