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Environmental science and pollution research international
Feb, 2024;31 (9): 13925-13940.

Linking green supply chain management practices and environmental performance in the manufacturing industry: a hybrid SEM-ANN approach.

Rashed Al Karim, Mohammad Rokibul Kabir, Md Karim Rabiul, Sakia Kawser, Abdus Salam
Author Information
  1. Rashed Al Karim: School of Business Administration, East Delta University, Chattogram, Bangladesh.
  2. Mohammad Rokibul Kabir: School of Business Administration, East Delta University, Chattogram, Bangladesh.
  3. Md Karim Rabiul: Faculty of Hospitality and Tourism, Prince of Songkla University, Phuket, Thailand. mdkrabiul@gmail.com. ORCID
  4. Sakia Kawser: School of Business Administration, East Delta University, Chattogram, Bangladesh.
  5. Abdus Salam: School of Business Administration, East Delta University, Chattogram, Bangladesh.
PMID: 38265594 DOI: 10.1007/s11356-024-32098-3

Abstract

This research determines the influence of green supply chain management practices (GSCM) on environmental performance. It also investigates the moderating role of supply chain environmental cooperation on GSCM practices and environmental performance relationships. A total of 370 employees of several Bangladeshi manufacturing companies were conveniently chosen as respondents. To verify the data validity and reliability and to test the hypotheses, we used SmartPLS. Finally, we employed an artificial neural network (ANN) to examine the relationship. Green design and green manufacturing have significant positive impacts on environmental performance, while green procurement and green distribution do not. Moreover, environmental cooperation moderates the relationships of green design and green distribution with environmental performance. The moderating effect of supply chain environmental cooperation in the relationship between GSCM practices and environmental performance in the manufacturing industry adds knowledge to the existing literature by incorporating a hybrid model combining PLS-SEM and ANN. Our study adds to the current body of knowledge by delving into the literature on GSCM from the perspective of Bangladesh's industrial sector. This study fills a knowledge gap by shedding light on the interactions of GSCM and environmental performance. Indeed, this study represents a step forward from classic linear regression-based models to an ANN-based nonlinear model. It also demonstrates new contributions to the literature on green supply chain management and environmental performance.

Keywords

ANN Environmental performance Green design Green distribution Green manufacturing Green procurement Supply chain environmental cooperation

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MeSH Term

Humans
Conservation of Natural Resources
Reproducibility of Results
Commerce
Industry
Manufacturing Industry
Journal Article

Word Cloud

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