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dc.contributor.authorAkçura, Munir Tolga
dc.date.accessioned2020-08-12T19:51:13Z
dc.date.available2020-08-12T19:51:13Z
dc.date.issued2019-03-16
dc.identifier.issn1751-7575en_US
dc.identifier.urihttp://hdl.handle.net/10679/6769
dc.identifier.urihttps://www.tandfonline.com/doi/abs/10.1080/17517575.2018.1509136
dc.description.abstractThis research employs game theoretic models to investigate how and when data-driven collaborations between manufacturers and retailers are beneficial. In the models, two symmetric retailers each offer two products from two different manufacturers. Each manufacturer may choose to collaborate with one or both retailers through data-driven initiatives in providing retail value to the consumers. The results show that the main incentive behind these collaborations arise from the efficient allocation of resources. Surprisingly, greater brand differentiation reduces profit margins and the incentive to collaborate. We also find that market leaders can endogenously arise through data-driven collaborations.en_US
dc.description.sponsorshipFarmer School of Business, Miami University
dc.language.isoengen_US
dc.publisherTaylor & Francisen_US
dc.relation.ispartofEnterprise Information Systems
dc.rightsrestrictedAccess
dc.titleData-driven manufacturer-retailer collaboration under competitionen_US
dc.typeArticleen_US
dc.peerreviewedyesen_US
dc.publicationstatusPublisheden_US
dc.contributor.departmentÖzyeğin University
dc.contributor.authorID(ORCID 0000-0003-3982-4720 & YÖK ID 124612) Akçura, Tolga
dc.contributor.ozuauthorAkçura, Munir Tolga
dc.identifier.volume13en_US
dc.identifier.issue3en_US
dc.identifier.startpage303en_US
dc.identifier.endpage328en_US
dc.identifier.wosWOS:000458239600003
dc.identifier.doi10.1080/17517575.2018.1509136en_US
dc.subject.keywordsData analyticsen_US
dc.subject.keywordsSupply chain collaborationen_US
dc.subject.keywordsRetailingen_US
dc.subject.keywordsGame theoryen_US
dc.identifier.scopusSCOPUS:2-s2.0-85058389572
dc.contributor.authorMale1
dc.relation.publicationcategoryArticle - International Refereed Journal - Institution Academic Staff


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