The Effect of Agile Project Management on Mega Construction Project Success in Chinese Manufacturing Enterprises: Human-AI Interaction as a Moderating Effect

The Effect of Agile Project Management on Mega Construction Project Success in Chinese Manufacturing Enterprises: Human-AI Interaction as a Moderating Effect | 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 Effect of Agile Project Management on Mega Construction Project Success in Chinese Manufacturing Enterprises: Human-AI Interaction as a Moderating Effect Jun Cui This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6657109/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 agile project management practices and mega construction project success in Chinese manufacturing enterprises, with a specific focus on how human-AI interaction moderates this relationship. Using a structured questionnaire approach with 287 project managers from manufacturing enterprises across China, we employed structural equation modeling and artificial neural network analysis to test our hypotheses. Results indicate that agile project management practices significantly enhance mega construction project success (β = 0.563, p < 0.001). Furthermore, human-AI interaction positively moderates this relationship, strengthening the effect of agile practices on project success metrics (β = 0.247, p < 0.01). The findings contribute to both project management theory and practice by providing empirical evidence for the effectiveness of agile methodologies in large-scale construction contexts and highlighting the strategic role of human-AI collaborative frameworks in enhancing project outcomes in manufacturing environments. Agile project management mega construction projects manufacturing enterprises human-AI interaction Full Text Additional Declarations Participant Consent StatementParticipation in this study was entirely voluntary and anonymous. Completion of the online survey was considered as provision of informed consent, as stated in the introductory section of the questionnaire. 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. 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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-6657109","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":456073242,"identity":"9ca9574d-96cc-44c3-82f0-bceefc9b0633","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":"2025-05-13 15:40:14","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-6657109/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-6657109/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":82852581,"identity":"39a0de90-e36c-4628-ae12-48423e2b7371","added_by":"auto","created_at":"2025-05-16 03:40:54","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":402761,"visible":true,"origin":"","legend":"","description":"","filename":"SEMAgileHumanAINFPDigitalCScholarformatstandardSample1.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6657109/v1_covered_41cdc491-3bb6-467e-b26b-295bb20c2e6c.pdf"}],"financialInterests":"\u003cp\u003eParticipant Consent StatementParticipation in this study was entirely voluntary and anonymous. 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Using a structured questionnaire approach with \u0026nbsp;287 project managers from manufacturing enterprises across China, we employed structural \u0026nbsp;equation modeling and artificial neural network analysis to test our hypotheses. Results indicate \u0026nbsp;that agile project management practices significantly enhance mega construction project success (β \u0026nbsp;= 0.563, p \u0026lt; 0.001). Furthermore, human-AI interaction positively moderates this relationship, \u0026nbsp;strengthening the effect of agile practices on project success metrics (β = 0.247, p \u0026lt; 0.01). 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