The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Supply chain collaboration: Impact on collaborative advantage and firm performance
Abstract
Facing uncertain environments, firms have strived to achieve greater supply chain collaboration to leverage the resources and knowledge of their suppliers and customers. The objective of the study is to uncover the nature of supply chain collaboration and explore its impact on firm performance based on a paradigm of collaborative advantage. Reliable and valid instruments of these constructs were developed through rigorous empirical analysis. Data were collected through a Web survey of U.S. manufacturing firms in various industries. The statistical methods used include confirmatory factor analysis and structural equation modeling (i.e., LISREL). The results indicate that supply chain collaboration improves collaborative advantage and indeed has a bottom‐line influence on firm performance, and collaborative advantage is an intermediate variable that enables supply chain partners to achieve synergies and create superior performance. A further analysis of the moderation effect of firm size reveals that collaborative advantage completely mediates the relationship between supply chain collaboration and firm performance for small firms while it partially mediates the relationship for medium and large firms.
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The impact of supply chain integration on performance: A contingency and configuration approach
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Cited by
Peng, D. X., & Lai, F. (2012) · Journal of Operations Management · doi:10.1016/j.jom.2012.06.002 · Cited by 1,532
Food supply chains during the COVID‐19 pandemic
Hobbs, J. E. (2020) · Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie · doi:10.1111/cjag.12237 · Cited by 1,313
Dubey, R., Gunasekaran, A., & Childe, S. J. (2019) · Management Decision · doi:10.1108/md-01-2018-0119 · Cited by 480
Supply chain collaboration: Impact of success in long-term partnerships
Ramanathan, U., & Gunasekaran, A. (2014) · International Journal of Production Economics · doi:10.1016/j.ijpe.2012.06.002 · Cited by 384
Marshall, D., McCarthy, L., McGrath, P., & Claudy, M. (2015) · Supply Chain Management: An International Journal · doi:10.1108/scm-08-2014-0267 · Cited by 332
Metadata
- Authors
- Cao, M., & Zhang, Q.
- Venue
- Journal of Operations Management
- Publisher
- Wiley
- Published
- 2010-12-29
- Volume
- 29
- Issue
- 3
- Pages
- 163-180
- ISSN
- 0272-6963 (ISSN-L)
- 1873-1317
- OpenAlex
- W2029969606
- Cited by
- 2,049
- References
- 11
- FWCI
- 64.42
- Type
- journal article
- Language
- en
- Open access
- closed
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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.