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The effects of supply chain collaboration on green innovation performance:An interpretive structural modeling analysis
Abstract
Abstract In previous research, interrelationships between green innovation and supply chain collaboration (SCC) are under-explored. This study explores the effects of SCC on green innovation performance and considers supply chain collaborative drivers as a crucial part of green innovation strategy. We construct a conceptual model containing a set of 17 drivers on the implementation of green innovation and analyze the contextual relationships between these drivers using an interpretive structural modeling (ISM) method to identify the driving and dependence powers in green innovation within the context of SCC. The model is validated on a case study involving an automobile firm in southwestern China. The study reveals that the relationships between supply chain partners have a very high influence on green innovation performance. SCC should be deemed as a core component in green innovation strategies. In addition, environmental regulations, top management commitment and social recognition are among high driving and dependence powers. We have confirmed the significance of SCC enablers for green innovation and identified several specific attributes through research. To further improve the value of this study, theoretical and managerial implications are discussed.
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Abu Seman, N. A., Govindan, K., Mardani, A., Zakuan, N., Mat Saman, M. Z., Hooker, R. E., & Ozkul, S. (2019) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2019.03.211 · Cited by 574
Driving the electric bandwagon: The dynamics of incumbents' sustainable innovation
Bohnsack, R., Kolk, A., Pinkse, J., & Bidmon, C. M. (2020) · Business Strategy and the Environment · doi:10.1002/bse.2430 · Cited by 90
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Ghobakhloo, M., Iranmanesh, M., Grybauskas, A., Vilkas, M., & Petraitė, M. (2021) · Business Strategy and the Environment · doi:10.1002/bse.2867 · Cited by 462
Industry 4.0 and opportunities for energy sustainability
Ghobakhloo, M., & Fathi, M. (2021) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2021.126427 · Cited by 253
Metadata
- Authors
- Yang, Z., & Lin, Y.
- Venue
- Sustainable Production and Consumption
- Publisher
- Elsevier BV
- Published
- 2020-07
- Volume
- 23
- Pages
- 1-10
- ISSN
- 2352-5509 (ISSN-L)
- OpenAlex
- W3015001973
- Cited by
- 211
- References
- 2
- FWCI
- 31.73
- Type
- journal article
- Language
- en
- Open access
- closed
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- Yang, Z., & Lin, Y. (2020). The effects of supply chain collaboration on green innovation performance:An interpretive structural modeling analysis. Sustainable Production and Consumption. https://doi.org/10.1016/j.spc.2020.03.010
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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.
