Impact of commitment, information sharing, and information usage on supplier performance: a Bayesian belief network approach

• Published in: Annals of operations research 2021-08, Vol.303 (1-2), p.125-158
• Main Authors: Sener, Abdurrezzak, Barut, Mehmet, Dag, Ali, Yildirim, Mehmet Bayram
• Format: Article
• Language: English
• Subjects: Bayesian statistical decision theory; Belief networks; Business and Management; Combinatorics; Data mining; Decision making; Information management; Information sharing; Information systems; Methods; Operations research; Operations Research/Decision Theory; Performance measurement; S.I.: Data Mining and Decision Analytics; Suppliers; Supply chains; Technology application; Theory of Computation; Vendor relations
• ISSN: 0254-5330; 1572-9338
• DOI: 10.1007/s10479-019-03504-8

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.