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Cited by 972

The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.

Development and validation of a measurement instrument for studying supply chain management practices

Li, Suhong, Rao, S. Subba, Ragu‐Nathan, T.S., Ragu‐Nathan, Bhanu·2005·Journal of Operations Management

Abstract

It is widely argued that competition is no longer between organizations, but among supply chains. Effective supply chain management (SCM) has become a potentially valuable way of securing competitive advantage and improving organizational performance. This research conceptualizes, develops, and validates six dimensions of SCM practices (strategic supplier partnership, customer relationship, information sharing, information quality, internal lean practices, and postponement). Data for the study were collected from 196 organizations and the measurement scales were tested and validated using structural equation modeling. It is hoped that this study will provide a parsimonious measurement instrument to assess the performance of the overall supply chain.

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Crossref · 10.1016/j.jom.2005.01.002

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Metadata

Authors
Li, S., Rao, S. S., Ragu‐Nathan, T. S., & Ragu‐Nathan, B.
Venue
Journal of Operations Management
Publisher
Wiley
Published
2005-03-13
Volume
23
Issue
6
Pages
618-641
ISSN
  • 0272-6963 (ISSN-L)
  • 1873-1317
OpenAlex
W2052489129
Cited by
972
References
11
FWCI
29.57
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Development and validation of a measurement instrument for studying supply chain management practices. https://app.cochat.ai/papers/10.1016/j.jom.2005.01.002
The paper
Li, S., Rao, S. S., Ragu‐Nathan, T. S., & Ragu‐Nathan, B. (2005). Development and validation of a measurement instrument for studying supply chain management practices. Journal of Operations Management. https://doi.org/10.1016/j.jom.2005.01.002

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.