The DOI matches its Crossref record; 71 of the 71 references it cites were found in a registry or an index.
Relationships between operational practices and performance among early adopters of green supply chain management practices in Chinese manufacturing enterprises
Abstract
Globalization results in both pressure and drivers for Chinese enterprises to improve their environmental performance. As a developing country, China has to balance economic and environmental performance. Green supply chain management (GSCM) is emerging to be an important approach for Chinese enterprises to improve performance, possibly on both these dimensions. Using empirical results from 186 respondents on GSCM practice in Chinese manufacturing enterprises, we examine the relationships between GSCM practice and environmental and economic performance. Using moderated hierarchical regression analysis, we evaluate the general relationships between specific GSCM practices and performance. We then investigate how two primary types of management operations philosophies, quality management and just‐in‐time (or lean) manufacturing principles, influence the relationship between GSCM practices and performance. Significant findings were determined for a number of relationships. Managerial implications are also identified.
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Cited by
Green supply-chain management: a state-of-the-art literature review
Srivastava, S. K. (2007) · International Journal of Management Reviews · doi:10.1111/j.1468-2370.2007.00202.x · Cited by 3,984
Green supply chain management: A review and bibliometric analysis
Fahimnia, B., Sarkis, J., & Davarzani, H. (2015) · International Journal of Production Economics · doi:10.1016/j.ijpe.2015.01.003 · Cited by 2,131
Self-citationStakeholder pressure and the adoption of environmental practices: The mediating effect of training
Sarkis, J., Gonzalez‐Torre, P., & Adenso‐Diaz, B. (2010) · Journal of Operations Management · doi:10.1016/j.jom.2009.10.001 · Cited by 1,518
Self-citationInternet of things and supply chain management: A literature review
Ben-Daya, M., Hassini, E., & Bahroun, Z. (2019) · International Journal of Production Research · doi:10.1080/00207543.2017.1402140 · Cited by 1,501
Zhu, Q., & Sarkis, J. (2007) · International Journal of Production Research · doi:10.1080/00207540701440345 · Cited by 1,235
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Metadata
- Authors
- Zhu, Q., & Sarkis, J.
- Venue
- Journal of Operations Management
- Publisher
- Wiley
- Published
- 2004-04-20
- Volume
- 22
- Issue
- 3
- Pages
- 265-289
- ISSN
- 0272-6963 (ISSN-L)
- 1873-1317
- OpenAlex
- W2090838176
- Cited by
- 2,761
- References
- 71
- FWCI
- 53.70
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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