A DEMATEL based approach for investigating barriers in green supply chain management in Canadian manufacturing firms
Jasneet Kaur,
Ramneet Sidhu,
Anjali Awasthi,
Satyaveer Chauhan and
Suresh Goyal
International Journal of Production Research, 2018, vol. 56, issue 1-2, 312-332
Abstract:
Green supply chain management (GSCM) involves consideration of environmental impacts of all the processes involved in a typical supply chain to minimise their negative consequences. In this paper, we present a DEMATEL-based approach for investigating barriers in GSCM in Canadian context. Seven manufacturing firms from electronic goods sector are involved. The results of our study yield three main categories of barriers. These barriers are knowledge-related (lack of awareness of the environmental impacts on business, lack of training courses/consultancy/institutions to train, monitor/mentor progress specific to each industry, lack of technical expertise and difficulty in identifying environmental opportunities), commitment-related (lack of corporate social responsibility) and product design-related (complexity of design to reuse/recycle used products). The proposed study is one of the first few to be conducted in the Canadian context for green supply chain barrier analysis for electronic goods sector. Secondly, the barriers are investigated through causality and prominence relations which can help decision-makers, policy planners and managers of organisations in addressing those critical few for making green supply chain practices a success.
Date: 2018
References: Add references at CitEc
Citations: View citations in EconPapers (27)
Downloads: (external link)
http://hdl.handle.net/10.1080/00207543.2017.1395522 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:tprsxx:v:56:y:2018:i:1-2:p:312-332
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/TPRS20
DOI: 10.1080/00207543.2017.1395522
Access Statistics for this article
International Journal of Production Research is currently edited by Professor A. Dolgui
More articles in International Journal of Production Research from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().