The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Performance measurement for green supply chain management
Abstract
Purpose: To introduce and provide an overview of the various issues related to environmental (green) supply chain management performance measurement. Design/methodology/approach: The work relies on experiences, case studies and other literature related to performance measurement in environmental supply chains. It seeks to integrate works in supply chain management, environmental management, and performance management into one framework. A systems framework forms the discussion outline with a focus on controls/pressures, inputs, tools, and outputs as major categories for evaluation and review. Findings: Provides an integrative framework for study, design and evaluation of green supply chain management performance tools. The findings also identify a number of issues that need to still be addressed. Research limitations/implications: We have only one design of the issues in which numerous categorizations could be provided. There is limited research in this area and new and current models/developments can provide additional insight. Implications of the work is that these gaps exist and that significantly more work needs to be completed in this field. Practical implications: A very useful source of information for practitioners that seek to implement these systems within and between organizations. Also, the paper provides numerous areas which researchers could complete additional research and develop research agendas. Originality/value: This paper provides some of the very first insights into development of a green supply chain management performance measurement system. Typically performance measurement systems are internally and business focused, we expand on these issues by considering inter-organizational and environmental issues within a business context.
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Citations
Cites
Toward a New Conception of the Environment-Competitiveness Relationship
Porter, M. E., & Linde, C. V. D. (1995) · Journal of Economic Perspectives · doi:10.1257/jep.9.4.97 · Cited by 13,365
WHY COMPANIES GO GREEN: A MODEL OF ECOLOGICAL RESPONSIVENESS.
Bansal, P., & Roth, K. (2000) · Academy of Management Journal · doi:10.2307/1556363 · Cited by 4,020
Porter, M. E. (1991) · Scientific American · doi:10.1038/scientificamerican0491-168 · Cited by 1,540
Cited by
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-citationAn analysis of the drivers affecting the implementation of green supply chain management
Diabat, A., & Govindan, K. (2011) · Resources, Conservation and Recycling · doi:10.1016/j.resconrec.2010.12.002 · Cited by 938
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
An ISM approach for the barrier analysis in implementing green supply chain management
Mathiyazhagan, K., Govindan, K., NoorulHaq, A., & Geng, Y. (2013) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2012.10.042 · Cited by 788
Blockchain practices, potentials, and perspectives in greening supply chains
Kouhizadeh, M., & Sarkis, J. (2018) · Sustainability · doi:10.3390/su10103652 · Cited by 726
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Metadata
- Authors
- Hervani, A. A., Helms, M. M., & Sarkis, J.
- Venue
- Benchmarking: An International Journal
- Publisher
- Emerald
- Published
- 2005-08-01
- Volume
- 12
- Issue
- 4
- Pages
- 330-353
- ISSN
- 1463-5771 (ISSN-L)
- 1758-4094
- OpenAlex
- W2049447498
- Cited by
- 1,473
- References
- 3
- FWCI
- 29.31
- Type
- journal article
- Language
- en
- Open access
- closed
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- Hervani, A. A., Helms, M. M., & Sarkis, J. (2005). Performance measurement for green supply chain management. Benchmarking: An International Journal. https://doi.org/10.1108/14635770510609015
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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.