Comparative study on adoption of sustainable supply chain management practices in Indian manufacturing industries. (11th October 2019)

• Record Type: Journal Article
• Authors: Mathivathanan, Deepak; Mathiyazhagan, K.; Noorul Haq, A.; Kaippillil, Vishnu
• Is Part Of: Journal of modelling in management. Volume 14:Number 4(2019)
• Page Start: 1006
• Page End: 1022
• Publication Date: 2019-10-11
• Subjects: Logistics -- Environmental management -- Sustainable supply chain management -- SSCM practices -- Empirical study -- Analysis of variance (ANOVA) -- Tukey's test -- India; Industrial management -- Mathematical models -- Periodicals; Industrial management -- Computer simulation -- Periodicals; Business -- Mathematical models -- Periodicals; Business -- Computer simulation -- Periodicals; 658.4033
• DOI: 10.1108/JM2-09-2018-0137
• Languages: English
• ISSNs: 1746-5664

Abstract

Abstract : Purpose: Sustainable supply chain management (SSCM) concepts have received immense attention in the recent past in both academia and industries. Especially, manufacturing industries in developing countries realize the importance of adopting sustainability concepts in their supply chain. The SSCM adoption has not been to the same level across different manufacturing sectors and hence a single implementation framework will not have the same effect across sectors. This paper aims to compare the adoption level of 25 SSCM practices across three major manufacturing sectors, namely, automobile, electronics and textile, in an emerging economy, India. Design/methodology/approach: A questionnaire-based data collection technique is used to obtain adoption levels of each of the identified SSCM practices on a five-point Likert-type scale with "1" representing not considering presently to "5" indicating successful implementation. Second, a hypothesis is framed and tested to compare the adoption levels across sectors using a one-way single-factor ANOVA followed by a post hoc test by Tukey's test. Findings: The results derived suggest that though the industries across different sectors are in the course of adopting SSCM practices, the level of adoption is found to be not the same. The textile sector has adopted the least, and the electronic sector edges ahead of the automobile sector in terms of successful transformation to SSCM. Originality/value: This study focuses on the differences and similarities in the adoption of policies in the automobile, electronics and textile sectors using statistical data analysis tools. A total of 25 individual practices are identified from existing literature and classified into six groups, namely, management, supplier, collaboration, design, internal and society, based on their similarities. Based on a detailed questionnaire survey with industrial experts in relevant fields as respondents, the adoption levels of practices are rated individually and categorically.