Dubey, Rameshwar, Gunasekaran, Angappa, Papadopoulos, Thanos, Childe, Stephen J. (2015) Green supply chain management enablers: Mixed methods research. Sustainable Production and Consumption, 4 (1). pp. 72-88. ISSN 2352-5509. (doi:10.1016/j.spc.2015.07.001) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:53042)
The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. | |
Official URL: http://dx.doi.org/10.1016/j.spc.2015.07.001 |
Abstract
This paper contributes to the literature on green supply chain management
(GSCM) by arguing for the use of mixed methods for theory building. The
literature has identified antecedents and enablers for the adoption of GSCM
practices. Nevertheless, there is relatively little research on building robust
methodological approaches and techniques that take into account the dynamic
nature of green supply chains. To address this gap, the paper firstly reviews
systematically the literature on GSCM enablers; secondly, it argues for the use
of mixed methods research to address questions related to GSCM enablers;
thirdly, it uses interpretive structural modeling (ISM), MICMAC analysis, and
confirmatory factor analysis (CFA) to illustrate the application of mixed
methods in GSCM by testing a model on the enablers of GSCM; and fourthly,
highlights the influence of enablers including, inter alia, top management
commitment, institutional pressures, supplier and customer relationship
management on financial and environmental performance. Finally, we conclude
with limitations and further research directions.
Item Type: | Article |
---|---|
DOI/Identification number: | 10.1016/j.spc.2015.07.001 |
Uncontrolled keywords: | Green Supply Chain Management (GSCM), Environmental Management (EM), Institutional Theory, Interpretive Structural Modeling (ISM), MICMAC analysis |
Subjects: | H Social Sciences |
Divisions: | Divisions > Kent Business School - Division > Department of Analytics, Operations and Systems |
Depositing User: | Kimberley Attard-Owen |
Date Deposited: | 10 Dec 2015 14:01 UTC |
Last Modified: | 05 Nov 2024 10:39 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/53042 (The current URI for this page, for reference purposes) |
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