The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Green supply chain management practices: impact on performance
Abstract
Purpose: The aim is to contribute significantly to the first wave of empirical investigations related to the impact of green supply chain management (GSCM) practices on performance. The paper also aims to theorize and empirically assess a comprehensive GSCM practices and performance model. The model incorporates green supply chain practices that link manufacturers with supply chain partners (both suppliers and customers) to support environmental sustainability throughout the supply chain. Design/methodology/approach: Data collected from 159 manufacturing managers were analyzed using a structural equation modeling methodology. Manufacturing managers provide data reflecting the degree to which their organizations work with suppliers and customers to improve environmental sustainability of the supply chain. Findings: Generally, the adoption of GSCM practices by manufacturing organizations leads to improved environmental performance and economic performance, which, in turn, positively impact operational performance. Operational performance enhances organizational performance. Research limitations/implications: As a first wave empirical investigation of the impact of GSCM practices on performance, the study is by necessity exploratory. Practical implications: Practitioners are provided with a framework for assessing the synergistic impact of GSCM practices on performance. Internal environmental management and green information systems are identified as necessary precursors to the implementation of green purchasing, cooperation with customers, eco‐design, and investment recovery. Originality/value: A comprehensive GSCM practices performance model is proposed and empirically assessed. The results of this investigation support the proposition that GSCM practices are both environmentally necessary and good business. A structured two‐wave approach to the implementation of GSCM practices is recommended.
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Cites
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Armstrong, J. S., & Overton, T. S. (1977) · Journal of Marketing Research · doi:10.2307/3150783 · Cited by 12,222
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A Beginner's Guide to Structural Equation Modeling: Fourth Edition
Schumacker, R. E., & Lomax, R. G. (2015) · doi:10.4324/9781315749105 · Cited by 6,604
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Schumacker, R. E., & Lomax, R. G. (2004) · doi:10.4324/9781410610904 · Cited by 6,235
Antecedents of supply chain visibility in retail supply chains: A resource‐based theory perspective
Barratt, M., & Oke, A. (2007) · Journal of Operations Management · doi:10.1016/j.jom.2007.01.003 · Cited by 702
Cited by
A literature review on green supply chain management: Trends and future challenges
Tseng, M.-L., Islam, M. S., Karia, N., Fauzi, F. A., & Afrin, S. (2019) · Resources, Conservation and Recycling · doi:10.1016/j.resconrec.2018.10.009 · Cited by 820
Mitra, S., & Datta, P. P. (2014) · International Journal of Production Research · doi:10.1080/00207543.2013.849014 · Cited by 414
Khan, S. A. R., Razzaq, A., Yu, Z., & Miller, S. (2021) · Business Strategy and the Environment · doi:10.1002/bse.2853 · Cited by 404
Retractedde Oliveira, U. R., Espindola, L. S., da Silva, I. R., da Silva, I. N., & Rocha, H. M. (2018) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2018.03.083 · Cited by 341
Rehman Khan, S. A., Yu, Z., Sarwat, S., Godil, D. I., Amin, S., & Shujaat, S. (2022) · International Journal of Logistics Research and Applications · doi:10.1080/13675567.2021.1872512 · Cited by 341
Metadata
- Authors
- Green, K. W., Zelbst, P. J., Meacham, J., & Bhadauria, V. S.
- Venue
- Supply Chain Management: An International Journal
- Publisher
- Emerald
- Published
- 2012-04-27
- Volume
- 17
- Issue
- 3
- Pages
- 290-305
- ISSN
- 1359-8546 (ISSN-L)
- OpenAlex
- W1992435591
- Cited by
- 1,476
- References
- 7
- FWCI
- 119.58
- Type
- journal article
- Language
- en
- Open access
- closed
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- Green, K. W., Zelbst, P. J., Meacham, J., & Bhadauria, V. S. (2012). Green supply chain management practices: impact on performance. Supply Chain Management: An International Journal. https://doi.org/10.1108/13598541211227126
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.