Impact of commitment, information sharing, and information usage on supplier performance: a Bayesian belief network approach
Sener, Abdurrezzak Barut, Mehmet Dag, Ali Yildirim, Mehmet Bayram
Sener, Abdurrezzak
Barut, Mehmet
Dag, Ali
Yildirim, Mehmet Bayram
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2019-12-19
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Article
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Analytics,Data mining,Information usage,Relationship commitment,Supplier performance
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Sener, 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)
Abstract
Due 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 performance
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Springer Nature
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Annals of Operations Research;2019
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0254-5330