The DOI matches its Crossref record; 80 of the 80 references it cites were found in a registry or an index.
Greening the automotive supply chain: a relationship perspective
Abstract
Purpose: This study seeks to explore the moderating impact of relationship conditions existing between a customer and its suppliers on the uptake and effectiveness of the customer's environmental performance requirements (otherwise known as “green‐supply”). Design/methodology/approach: The study assesses the extent to which a supplier's environmental performance is influenced by its customer's environmental performance requirements when specific relationship conditions (investment, contracting and monitoring routines) are taken into account. Data were collected through a survey of first and second tier component manufacturers in the Australian automotive industry and analysed using linear regression and MMR. Findings: Suppliers were found to be more responsive to their customers' environmental performance requirements where increasing levels of relationship‐specific investment occurred. As the level of investment in the customer‐supplier relationship increased, suppliers become less likely to believe that they would be penalized for non‐compliance with the customer's environmental performance requirements. Research limitations/implications: Survey data were collected in 2004 and are limited to the Australian automotive industry. The sample size available for the regression analysis also precluded the use of more comprehensive analytic techniques. Practical implications: The research offers new insight into the issue of how firms might improve the environmental performance of suppliers and the sustainability of their supply chain. Originality/value: Virtually no research exists on the actual effectiveness of green supply requirements when placed in context with the realities of inter‐organizational dynamics. The findings suggest that traditional operations theory on inter‐organizational performance improvement is just as relevant to the use of environmental performance requirements.
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Cites
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BackgroundBuilding theories from case study research
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Cited by
Zhu, Q., Sarkis, J., & Lai, K.-H. (2012) · International Journal of Production Research · doi:10.1080/00207543.2011.571937 · Cited by 614
Guerci, M., Longoni, A., & Luzzini, D. (2016) · The International Journal of Human Resource Management · doi:10.1080/09585192.2015.1065431 · Cited by 589
Towards a theory of multi-tier sustainable supply chains: A systematic literature review
M. Tachizawa, E., & Yew Wong, C. (2014) · Supply Chain Management: An International Journal · doi:10.1108/scm-02-2014-0070 · Cited by 419
Drivers and barriers of eco‐innovation types for sustainable transitions: A quantitative perspective
Kiefer, C. P., Del Río González, P., & Carrillo‐Hermosilla, J. (2019) · Business Strategy and the Environment · doi:10.1002/bse.2246 · Cited by 379
Green supply chain management and organizational performance
Lee, S. M., Tae Kim, S., & Choi, D. (2012) · Industrial Management & Data Systems · doi:10.1108/02635571211264609 · Cited by 375
Metadata
- Authors
- Simpson, D., Power, D., & Samson, D.
- Venue
- International Journal of Operations & Production Management
- Publisher
- Emerald
- Published
- 2007-01-09
- Volume
- 27
- Issue
- 1
- Pages
- 28-48
- ISSN
- 0144-3577 (ISSN-L)
- OpenAlex
- W2056980326
- Cited by
- 417
- References
- 80
- FWCI
- 36.32
- 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.