Identification and prioritization of motivational factors for the green supply chain management adoption: case from Indian construction industries

K. Mathiyazhagan (), Udbhav Datta, Rishabh Bhadauria, Aditya Singla and S. Krishnamoorthi
Additional contact information
K. Mathiyazhagan: The Northcap University
Udbhav Datta: The Northcap University
Rishabh Bhadauria: The Northcap University
Aditya Singla: The Northcap University
S. Krishnamoorthi: The Northcap University

OPSEARCH, 2018, vol. 55, issue 1, No 12, 202-219

Abstract: Abstract Construction industries play a major role in Indian economy and are also a major cause for degradation of the environment. India has felt the need for adopting environmental management practices in the construction industry. Green supply chain management (GSCM) is a tremendous concept which incorporates environmental issues in traditional supply chain management. Many industries have started to use GSCM and it will be appropriate if the Indian construction industry also falls into place. The objective of the present study is to analyze and prioritize the most important drivers for the implementation of GSCM in the Indian construction industry. From the literature review and discussion with experts 27 drivers were identified under 7 categories. This study was carried out among employees of different contractors/developers in the National Capital Region, consisting of New Delhi, Gurgaon and Noida, which is the hub of the construction industry. Most important drivers for the GSCM adoption are ranked with the help of Analytic Hierarchy Process approach through expert judgments. The Government category was identified as the most important category followed by market, supplier, customer, internal drivers and finally environment. This paper has tried to present a bench-marking framework for ranking the drivers for implementation of GSCM. This has been done to make it easier for the Indian construction industries to make decisions on implementing GSCM.

Keywords: Green supply chain management; Drivers; Construction industries; Analytic Hierarchy Process (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://link.springer.com/10.1007/s12597-017-0316-7 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

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:spr:opsear:v:55:y:2018:i:1:d:10.1007_s12597-017-0316-7

Ordering information: This journal article can be ordered from
http://www.springer. ... search/journal/12597

DOI: 10.1007/s12597-017-0316-7

Access Statistics for this article

OPSEARCH is currently edited by Birendra Mandal

More articles in OPSEARCH from Springer, Operational Research Society of India
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().