Digital environment, collaborative network and corporate innovation performance: A machine-learning-based study

Digital environment, collaborative network and corporate innovation performance: A machine-learning-based study | 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 Digital environment, collaborative network and corporate innovation performance: A machine-learning-based study Wenhao Zhou, Hailin Li This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4674952/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 3 You are reading this latest preprint version Abstract To explore the relationship between the digital environment, collaborative network and innovation performance, this study extract the inter-firm network from the co-patents of listed industrial companies in China, classify the collaborative contexts into four types based on the cooperation relationship, and examine the impacts of the dual environments on collaborative innovation performance by using machine learning method. A multi-dimensional framework is constructed to excavate the nonlinear combined effect of collaborative network, digital economy on firm innovation. The results indicate that the impact of digital economy and collaborative network on firm innovation varies across heterogeneous network embedding contexts. Network structure embedding features are the main factors to influence firm innovation in exploratory collaboration contexts. The digital environment is more likely to facilitate innovation performance in exploitative innovation and loosely collaborative contexts than in collaborative network embedding. The findings help companies make strategic decisions on partners selection and cooperation resources. Digital environment Collaborative network Firm innovation Machine learning Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Editor assigned by journal 03 Jul, 2024 Submission checks completed at journal 03 Jul, 2024 First submitted to journal 02 Jul, 2024 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-4674952","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":322282910,"identity":"7a692009-2e2c-4086-9791-3958c3f0137b","order_by":0,"name":"Wenhao Zhou","email":"","orcid":"","institution":"Huaqiao University","correspondingAuthor":false,"prefix":"","firstName":"Wenhao","middleName":"","lastName":"Zhou","suffix":""},{"id":322282911,"identity":"d0fe438d-6632-42e6-95a5-4a58bbab4a1b","order_by":1,"name":"Hailin Li","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAzElEQVRIiWNgGAWjYBACAwbGxgMJDBZyBhCuBVFaGoBaJIwNGJhBXAlitDAwHGBgkEjcANbCQIQWc/bDDQce7pBI387ef3TDjwIJBv727gS8Wix7EhsOJJ6RyN3Zc5jtZg/QYRJnzm7A77ADIC1tErkbbiSz3eABajEAsvFrOf8QrCXdAKjl5h+itNyA2JIA0nKbOFtuQGwx3HDmsNltGQMJHsJ+OZ/+8OHPNht5g+ONz26++WMjx9/ei18LBuAhTfkoGAWjYBSMAqwAAKv3TLWffBkXAAAAAElFTkSuQmCC","orcid":"","institution":"Huaqiao University","correspondingAuthor":true,"prefix":"","firstName":"Hailin","middleName":"","lastName":"Li","suffix":""}],"badges":[],"createdAt":"2024-07-02 14:26:46","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4674952/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4674952/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":61063108,"identity":"11ad793a-20c3-4fd1-8bc4-19941e1120c3","added_by":"auto","created_at":"2024-07-25 07:02:06","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":3453172,"visible":true,"origin":"","legend":"","description":"","filename":"Manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4674952/v1_covered_b391ba60-cc65-4fca-ac79-721d2078ced8.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Digital environment, collaborative network and corporate innovation performance: A machine-learning-based study","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"journal-of-productivity-analysis","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"prod","sideBox":"Learn more about [Journal of Productivity Analysis](http://link.springer.com/journal/11123)","snPcode":"11123","submissionUrl":"https://submission.nature.com/new-submission/11123/3","title":"Journal of Productivity Analysis","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false},"keywords":"Digital environment; Collaborative network; Firm innovation; Machine learning","lastPublishedDoi":"10.21203/rs.3.rs-4674952/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4674952/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"To explore the relationship between the digital environment, collaborative network and innovation performance, this study extract the inter-firm network from the co-patents of listed industrial companies in China, classify the collaborative contexts into four types based on the cooperation relationship, and examine the impacts of the dual environments on collaborative innovation performance by using machine learning method. 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