Integrating Green Supply Chain Management and Total Quality Management: A SEM-ANN Analysis of Performance Enhancement in SMEs
DOI:
https://doi.org/10.59543/comdem.v2i.13683Keywords:
Green Supply Chain Management, Total Quality Management, Organizational Performance, Small and Medium-sized Enterprises, Artificial neural networkAbstract
The present research aimed to examine the impact of green supply chain management (GSCM) on organizational performance with the mediating role of total quality management (TQM). The research employed a descriptive correlational method using structural equation modeling. A sample of 152 managers, deputies, and supply chain experts from small and medium-sized enterprises (SMEs) in Iran participated in the study. Data analysis was analyzed using structural equation Modeling-Artificial Neural Network (SEM-ANN) approach. The results indicated that the effect of GSCM on TQM, environmental performance, and financial performance is positive and significant. Additionally, TQM has a positive and significant impact on both environmental performance and financial performance. The mediating role of TQM in the relationship between GSCM and both environmental and financial performance was also found to be positive and significant. Therefore, it can be concluded that GSCM leads to improvements in the environmental and financial performance of SMEs through TQM.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Shahin Heidari, Mehrnaz Zarei, Saboura Salar Rad, Fariba Sanaei, Elnaz Hajian, Mohammad Boti

This work is licensed under a Creative Commons Attribution 4.0 International License.
COMDEM is published Open Access under a Creative Commons CC-BY 4.0 license. Authors retain full copyright, with the first publication right granted to the journal.






