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Articles

Identifying critical eco-innovation practices in circular supply chain management: evidence from the textile and clothing industry

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Pages 1462-1483 | Received 30 Nov 2021, Accepted 09 May 2022, Published online: 25 May 2022
 

ABSTRACT

Eco-innovation practices are critical to achieve the supply chain management of the textile and clothing industry. Prior research has not identified which eco-innovations are more important in circular supply chain management. To guide the effective implementation of eco-innovation practices in CSCM, this study initially established an eco-innovation framework for CSCM articulated along five main aspects. Then, fuzzy set theory was integrated with the decision-making trials and evaluation laboratory method to identify the critical eco-innovation practices in CSCM. Empirical results indicate that life-cycle assessment, the establishment of an eco-innovation strategy, knowledge sharing of eco-innovation information, environmental monitoring, and the control of capital efficiency are critical eco-innovation practices for the CSCM of the textile and clothing industry. More in detail, life-cycle assessment is the most important to improve CSCM performance, while the establishment of an eco-innovation strategy has a greater impact on other eco-innovation practices. This study proposed an eco-innovation decision-making framework that may help enhance the effectiveness of CSCM in the textile and clothing industry. The identification of important eco-innovation drivers may help organisations prioritise CSCM techniques when resources are limited.

Acknowledgements

The authors would also thank the anonymous reviewers for their constructive comments.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Data availability statement

The data that support the findings of this study are openly available in “Mendeley data” at http://doi.org/10.17632/7c3xgt4gdj.1.

Additional information

Funding

This work was supported by National Natural Science Foundation of China: [Grant Number 72004019, 71974028].

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