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Supplier development: Improving supplier performance through knowledge transfer
Abstract
The dynamic business environment today requires organizations to effectively use all available resources to remain competitive. The quality and cost of a product or service offered in the market is a function, not only of the capabilities of the firm, but also the supplier network providing inputs to the enterprise. To remain competitive, organizations are increasingly implementing supplier development programs to maintain capable and high performance supply bases. This paper presents a conceptual model of an organization's efforts to improve supplier performance. Then latent variable structural equation modeling (LVSEM) is used to test the model with data for 215 supplier development experiences from US manufacturing firms. The results suggest that evaluation and certification efforts are the most important supplier development prerequisites before undertaking operational knowledge transfer activities such as site visits and supplier training. Furthermore, collaborative inter‐organizational communication is identified as important supporting factor in transforming an organization's efforts to develop suppliers into supplier performance improvements.
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Cites
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The dark side of buyer–supplier relationships: A social capital perspective⋆
Villena, V. H., Revilla, E., & Choi, T. Y. (2011) · Journal of Operations Management · doi:10.1016/j.jom.2010.09.001 · Cited by 1,018
Lee, S., & Klassen, R. D. (2008) · Production and Operations Management · doi:10.3401/poms.1080.0063 · Cited by 710
Awan, U., Arnold, M. G., & Gölgeci, I. (2021) · Business Strategy and the Environment · doi:10.1002/bse.2684 · Cited by 452
Sreedevi, R., & Saranga, H. (2017) · International Journal of Production Economics · doi:10.1016/j.ijpe.2017.07.024 · Cited by 398
Linking supplier development to supplier segmentation using Best Worst Method
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Metadata
- Authors
- Modi, S. B., & Mabert, V. A.
- Venue
- Journal of Operations Management
- Publisher
- Wiley
- Published
- 2006-04-18
- Volume
- 25
- Issue
- 1
- Pages
- 42-64
- ISSN
- 0272-6963 (ISSN-L)
- 1873-1317
- OpenAlex
- W1973798329
- Cited by
- 655
- References
- 76
- FWCI
- 26.11
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.