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dc.contributor.authorChakraborty, A.
dc.contributor.authorPersis, J.
dc.contributor.authorMahroof, Kamran
dc.date.accessioned2023-04-30T03:40:07Z
dc.date.accessioned2023-06-02T13:38:19Z
dc.date.available2023-04-30T03:40:07Z
dc.date.available2023-06-02T13:38:19Z
dc.date.issued2023
dc.identifier.citationChakraborty A, Persis J and Mahroof K (2023) Exploring the Academic-Industry Collaboration in Knowledge Sharing for Supplier Selection: Digitalizing the OEM. IEEE Transactions on Engineering Management. Accepted for publication.en_US
dc.identifier.urihttp://hdl.handle.net/10454/19438
dc.descriptionYesen_US
dc.description.abstractIncreasing reliance on digital technologies has led to a significant shift in how businesses operate, with many now relying heavily on digital platforms for effective planning, communication, sales, marketing, supply chain, and logistics management. In this context, knowledge sharing platforms enable academic–industry collaboration in which exchange of ideas, opinions, experience, and expertise brings collective intelligence in cooperative learning ecosystem thereby expediting decision making. However, establishing long-term commitment among the partners, allocation of time and resources for sharing tacit knowledge, collaboration among partners with different strategic priorities, and real-time knowledge sharing capabilities are essential for effective and rapid learning in knowledge sharing platforms. The present article will examine these benefits and challenges in knowledge sharing and its impact on supplier selection platforms in Asian automakers. The findings of this article will be helpful for researchers and practitioners intending to explore the role of cooperation in knowledge sharing and digital transformation amid competitive environment prevalent in the automotive industry. The potential supplier database is first examined for qualifying the capability requirements put forth in this article and further prioritized using a multicriteria decision-making technique and analytic hierarchy process. The article results reveal that the manufacturer has highly prioritized firms’ financial transparency for supplier evaluation followed by the suppliers’ cost control, quality control, and manufacturing capabilities. The article has significant theoretical and practical implications for developing robust supplier evaluation criteria for automobile industry and a digital ecosystem for original equipment manufacturers in making supplier related decisions.en_US
dc.language.isoenen_US
dc.rights© 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en_US
dc.subjectKnowledge sharingen_US
dc.subjectSupplier selectionen_US
dc.subjectAnalytical hierarchy processen_US
dc.subjectAHPen_US
dc.subjectMulti-criteria decision-makingen_US
dc.subjectMCDMen_US
dc.subjectAutomotive engineeringen_US
dc.subjectCollaborationen_US
dc.subjectCostsen_US
dc.subjectDecision makingen_US
dc.subjectIndustriesen_US
dc.subjectProcurementen_US
dc.subjectSupply chainsen_US
dc.titleExploring the Academic - Industry Collaboration in Knowledge Sharing for Supplier Selection: Digitalizing the OEMen_US
dc.status.refereedYesen_US
dc.date.Accepted2023-03-17
dc.date.application2023-04-05
dc.typeArticleen_US
dc.type.versionAccepted manuscripten_US
dc.identifier.doihttps://doi.org/10.1109/TEM.2023.3260042
dc.rights.licenseUnspecifieden_US
dc.date.updated2023-04-30T03:40:09Z
refterms.dateFOA2023-06-02T13:38:46Z
dc.openaccess.statusopenAccessen_US


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