Data-driven manufacturer-retailer collaboration under competition
dc.contributor.author | Akçura, Munir Tolga | |
dc.date.accessioned | 2020-08-12T19:51:13Z | |
dc.date.available | 2020-08-12T19:51:13Z | |
dc.date.issued | 2019-03-16 | |
dc.identifier.issn | 1751-7575 | en_US |
dc.identifier.uri | http://hdl.handle.net/10679/6769 | |
dc.identifier.uri | https://www.tandfonline.com/doi/abs/10.1080/17517575.2018.1509136 | |
dc.description.abstract | This 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.sponsorship | Farmer School of Business, Miami University | |
dc.language.iso | eng | en_US |
dc.publisher | Taylor & Francis | en_US |
dc.relation.ispartof | Enterprise Information Systems | |
dc.rights | restrictedAccess | |
dc.title | Data-driven manufacturer-retailer collaboration under competition | en_US |
dc.type | Article | en_US |
dc.peerreviewed | yes | en_US |
dc.publicationstatus | Published | en_US |
dc.contributor.department | Özyeğin University | |
dc.contributor.authorID | (ORCID 0000-0003-3982-4720 & YÖK ID 124612) Akçura, Tolga | |
dc.contributor.ozuauthor | Akçura, Munir Tolga | |
dc.identifier.volume | 13 | en_US |
dc.identifier.issue | 3 | en_US |
dc.identifier.startpage | 303 | en_US |
dc.identifier.endpage | 328 | en_US |
dc.identifier.wos | WOS:000458239600003 | |
dc.identifier.doi | 10.1080/17517575.2018.1509136 | en_US |
dc.subject.keywords | Data analytics | en_US |
dc.subject.keywords | Supply chain collaboration | en_US |
dc.subject.keywords | Retailing | en_US |
dc.subject.keywords | Game theory | en_US |
dc.identifier.scopus | SCOPUS:2-s2.0-85058389572 | |
dc.contributor.authorMale | 1 | |
dc.relation.publicationcategory | Article - International Refereed Journal - Institution Academic Staff |
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