Impact of coercive and non-coercive environmental supply chain sustainability drivers on supply chain performance: mediation role of monitoring and collaboration

ABSTRACT

The purpose of this study is to ‘investigate the impact of coercive and non-coercive drivers of supply chain sustainability in chain performance, with regard to the role of intermediary monitoring and collaboration’ in one of the automotive companies. In this study, a developed conceptual model was designed and validity and reliability of designed questionnaire were tested and confirmed. To gather the data, the statistical population included all stuff of reputable automaker. A statistical sample of 188 persons was selected using Cochran formula by simple random sampling method. The results of the hypothesis with 95% confidence interval using structural equation modelling using AMOS 26 software showed that: monitoring has an impact of 0.66 on sustainability while collaboration effect is 0.22. Also, monitoring has no impact on sustainability. Meanwhile, a non-coercive driver impact on collaboration is about 0.26 VS coercive drivers have no impact. Contrarily non-coercive driver’s impact on monitoring is about 0.39 while a coercive driver is 0.74. Sustainable Supply Chain Management is a popular subject in the area of operations management for both researchers and practitioners. Supply chain sustainability is availability to reduce long-term risks associated with resources consumption, energy cost fluctuations, product commitments, and pollution management, which establishes an appropriate balance between economic development, environmental monitoring, and social assets.

KEYWORDS:

• Non-coercive sustainability drivers
• coercive sustainability drivers
• monitoring
• collaboration
• supply chain performance

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Notes on contributors

Mahdi Nasrollahi

Mahdi Nasrollahi is an Assistant Professor at Imam Khomeini International University (IKIU), Iran. He received his PhD in Industrial Management from University of Tehran. His research interests include SCM, MADM and DEA. He has written several papers about Supply Chain Management, Multiple Criteria Decision Making and Mathematical Modeling.

Mohammad Reza Fathi

Mohammad Reza Fathi is an Assistant Professor, College of Farabi at University of Tehran, Iran. He received his PhD in Industrial Management from University of Tehran. His research interests include SCM, MADM and DEA. He has written several papers about Advanced Supply Chain Management, Multiple Criteria Decision Making and Mathematical Modeling. 

Hamid Reza Sanouni

Hamid Reza Sanouni received his MSc in Business Management from Islamic Azad University, Tehran, Iran. His research interests include Management, Marketing and Statistical Analyze.

Seyed Mohammad Sobhani

Seyed Mohammad Sobhani received his MSc in Business Management from University of Tehran, Iran. His research interests include Management, Marketing and Statistical Analyze.

Amirhossein Behrooz

Amirhossein Behrooz is a Faculty Member of Master of Business Administration Department, Payame Noor University, Qom, Iran. His research interests include Management, Supply Chain Management and Statistical Analyze.