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dc.contributor.authorSener, Abdurrezzak
dc.contributor.authorBarut, Mehmet
dc.contributor.authorOztekin, Asil
dc.contributor.authorAvcilar, Mutlu Yuksel
dc.contributor.authorYildirim, Mehmet Bayram
dc.identifier.citationSener, Abdurrezzak; Barut, Mehmet; Oztekin, Asil; Avcilar, Mutlu Yuksel; Yildirim, Mehmet Bayram. 2019. The role of information usage in a retail supply chain: a causal data mining and analytical modeling approach. Journal of Business Research, vol. 99:pp 87-104en_US
dc.descriptionClick on the DOI link to access the article (may not be free).en_US
dc.description.abstractThis study utilizes both a resource-based view and organizational learning theory to present the need to distinguish information sharing from information usage. Our main research aim was to investigate the mediating role of information usage between information sharing, and operational efficiency and effectiveness. We tested the hypotheses in our relational model using empirical data obtained from food retailers in Turkey. The analysis of results from structural equation modeling reveal that the separation of information sharing from information usage is valid, and the mediating role of usage is significant in improving operational effectiveness and efficiency. We further utilized a Bayesian neural networks-based causal analytic model, i.e., universal structure modeling methodology to reveal non-trivial, implicit, previously unknown, and potentially useful relationships among the constructs.en_US
dc.relation.ispartofseriesJournal of Business Research;v.99
dc.subjectInformation sharingen_US
dc.subjectInformation usageen_US
dc.subjectOperational performanceen_US
dc.subjectOrganizational learningen_US
dc.subjectData miningen_US
dc.subjectCausal analyticsen_US
dc.titleThe role of information usage in a retail supply chain: a causal data mining and analytical modeling approachen_US
dc.rights.holder© 2019 Elsevier Inc. All rights reserved.en_US

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