TY - JOUR
T1 - Impact of commitment, information sharing, and information usage on supplier performance
T2 - a Bayesian belief network approach
AU - Sener, Abdurrezzak
AU - Barut, Mehmet
AU - Dag, Ali
AU - Yildirim, Mehmet Bayram
N1 - Publisher Copyright:
© 2019, Springer Science+Business Media, LLC, part of Springer Nature.
PY - 2021/8
Y1 - 2021/8
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85077092297&partnerID=8YFLogxK
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U2 - 10.1007/s10479-019-03504-8
DO - 10.1007/s10479-019-03504-8
M3 - Article
AN - SCOPUS:85077092297
SN - 0254-5330
VL - 303
SP - 125
EP - 158
JO - Annals of Operations Research
JF - Annals of Operations Research
IS - 1-2
ER -