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Cited by 535

The DOI matches its Crossref record; 116 of the 116 references it cites were found in a registry or an index.

Supplier integration—Finding an optimal configuration

Das, Ajay, Narasimhan, Ram, Talluri, Srinivas·2006·Journal of Operations Management
DOI 10.1016/j.jom.2005.09.003
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Abstract

There has been increased interest in supplier integration in recent years, much of it supporting such initiatives in organizations. We operationalize supplier integration as a bundle of practices that include a set of “internal” and “external” practices. We hypothesize that such practices in specific configurations can be as important a source of performance differentials as the adoption of individual practices themselves. We theorize the existence of a level of integration that results in optimal performance. The paper uses data from a cross‐section of more than 300 US manufacturing companies to test the notion of an optimal level of supplier integration, and examine the conditions surrounding its development. The results provide empirical support for the concept of an optimal set of supplier integration practices. We show that deviations from the optimal profile are associated with performance deterioration, and that indiscriminate and continued investments in integration may not yield commensurate improvements in performance.

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Metadata

Authors
Das, A., Narasimhan, R., & Talluri, S.
Venue
Journal of Operations Management
Publisher
Wiley
Published
2005-12-20
Volume
24
Issue
5
Pages
563-582
ISSN
  • 0272-6963 (ISSN-L)
  • 1873-1317
DOI
10.1016/j.jom.2005.09.003
OpenAlex
W2041303432
Cited by
535
References
116
FWCI
17.74
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Supplier integration—Finding an optimal configuration. https://app.cochat.ai/papers/10.1016/j.jom.2005.09.003
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Das, A., Narasimhan, R., & Talluri, S. (2006). Supplier integration—Finding an optimal configuration. Journal of Operations Management. https://doi.org/10.1016/j.jom.2005.09.003

Data sources

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.