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Leveraging Lean and Green Supply Chain Practices for Sustainable Supply Chain Performance: The Moderating Role of Environmental Orientation Cover

Leveraging Lean and Green Supply Chain Practices for Sustainable Supply Chain Performance: The Moderating Role of Environmental Orientation

Open Access
|Oct 2024

Abstract

This study investigates the impact of lean and green supply chain practices on business process performance and sustainable supply chain performance. The research utilises the resource-based view (RBV) theory to construct a conceptual model wherein lean and green supply chain practices are employed to augment business processes and sustainable performance. Concurrently, dynamic capabilities theory is applied to signify an organisation’s capacity to adapt and evolve in response to internal and external pressures from customers and competitors. The conceptual model is validated using structural equation modelling with a sample of 170 supply chain practitioners from the apparel and textile supply chain in Jordan. Results indicate that lean practices exhibit no direct impact, whereas green practices significantly influence business process performance and indirectly affect sustainable supply chain performance. Business process performance does not mediate the relationship for lean practices, but it does so for green practices. Moreover, the environmental orientation of both competitors and customers negatively moderates the impact of green practices on business processes and sustainable supply chain performance. These findings contribute to existing literature and underscore the crucial role of green supply chain practices in enhancing sustainable supply chain performance in the apparel and textile industry.

DOI: https://doi.org/10.2478/emj-2024-0025 | Journal eISSN: 2543-912X | Journal ISSN: 2543-6597
Language: English
Page range: 75 - 97
Submitted on: Jan 31, 2023
Accepted on: May 1, 2024
Published on: Oct 1, 2024
Published by: Bialystok University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2024 Mohammad J. Aladaileh, Khaled J. Aladayleh, Eva Lahuerta-Otero, Rebeca Cordero-Gutiérrez, published by Bialystok University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.