Service Quality and Mega Construction Project Success in Chinese Telecommunication Firms: The Moderating Effects of GAI Technology Application and Digital Human-AI Integration.

Service Quality and Mega Construction Project Success in Chinese Telecommunication Firms: The Moderating Effects of GAI Technology Application and Digital Human-AI Integration. | 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 Service Quality and Mega Construction Project Success in Chinese Telecommunication Firms: The Moderating Effects of GAI Technology Application and Digital Human-AI Integration. Jun Cui This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6575874/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 service quality and mega construction project success in Chinese telecommunication firms, with a specific focus on the moderating effects of Generative Artificial Intelligence (GAI) technology application and digital Human-AI integration. Using the SERVQUAL framework as a theoretical foundation, this research employs a mixed methods approach combining structural equation modeling (SEM) and fuzzy-set Qualitative Comparative Analysis (fsQCA) to analyze data collected from 278 telecommunications firms engaged in mega construction projects in China. Results indicate that service quality significantly impacts project success, while GAI technology application and Human-AI integration positively moderate this relationship. The findings reveal specific configurational paths to project success, providing valuable insights for telecommunications industry practitioners and policymakers. This study contributes to the literature by developing an integrated theoretical framework that connects service quality dimensions with mega construction project outcomes in the digital transformation context of the telecommunications sector. Service quality SERVQUAL Mega construction projects GAI technology Human-AI integration Chinese telecommunications industry fsQCA Artificial neural networks Full Text Additional Declarations The authors declare no competing interests. Participant Consent Statement : Participation 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. 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-6575874","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":450914039,"identity":"b239ffe4-eeab-40e3-be45-bb34ad4a2fb8","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":"2025-05-02 06:28:44","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-6575874/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-6575874/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":82127553,"identity":"f68cb407-4231-4cfa-8eed-13e71aed9cbf","added_by":"auto","created_at":"2025-05-07 04:25:39","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":311524,"visible":true,"origin":"","legend":"","description":"","filename":"CSScholarServiceQualityandMegaConstructionProjectSuccessANNFsqcaAMOS.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6575874/v1_covered_5de8046d-0997-43d1-8dcf-c85d3eb992da.pdf"}],"financialInterests":"\u003cp\u003eThe authors declare no competing interests.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eParticipant Consent Statement :\u0026nbsp;\u003c/strong\u003eParticipation in this study was entirely voluntary and anonymous. 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