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dc.contributor.authorSener, Abdurrezzak
dc.contributor.authorBarut, Mehmet
dc.contributor.authorDag, Ali
dc.contributor.authorYildirim, Mehmet Bayram
dc.date.accessioned2020-01-19T19:49:35Z
dc.date.available2020-01-19T19:49:35Z
dc.date.issued2019-12-19
dc.identifier.citationSener, A., Barut, M., Dag, A. et al. Impact of commitment, information sharing, and information usage on supplier performance: a Bayesian belief network approach. Ann Oper Res (2019)en_US
dc.identifier.issn0254-5330
dc.identifier.urihttps://doi.org/10.1007/s10479-019-03504-8
dc.identifier.urihttp://hdl.handle.net/10057/17007
dc.descriptionClick on the DOI link to access the article (may not be free).en_US
dc.description.abstractDue to the proliferation of information systems and technology, supply chains have the capability of acquiring an enormous amount of supplier data in their databases. However, much of the useful supplier-specific insights in terms of supplier performance metrics are mostly hidden and untouched. The current emphasis on supplier performance makes relationship commitment and information management functions an ideal application area to benefit from the use of data-mining tools for the decision-making process and improving supplier performance. By employing Bayesian belief networks, this study investigates the role of the major variables of commitment, information sharing, quality of shared information, and information usage in relation to supplier performance in the U.S. aircraft manufacturing supply chain. The results provide insightful guidance to managers on how to enhance performanceen_US
dc.language.isoen_USen_US
dc.publisherSpringer Natureen_US
dc.relation.ispartofseriesAnnals of Operations Research;2019
dc.subjectAnalyticsen_US
dc.subjectData miningen_US
dc.subjectInformation usageen_US
dc.subjectRelationship commitmenten_US
dc.subjectSupplier performanceen_US
dc.titleImpact of commitment, information sharing, and information usage on supplier performance: a Bayesian belief network approachen_US
dc.typeArticleen_US
dc.rights.holder© 2019, Springer Natureen_US


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