A structural analysis of green supply chain management enablers in the UAE construction sector
Balasubramanian, Sreejith 
ORCID: https://orcid.org/0000-0002-0475-7305
(2014)
A structural analysis of green supply chain management enablers in the UAE construction sector.
International Journal of Logistics Systems and Management, 19
(2)
.
pp. 131-150.
ISSN 1742-7967
[Article]
(doi:10.1504/IJLSM.2014.064655)
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- Final accepted version (with author's formatting)
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Abstract
The aim of the research is to develop a structural analysis of the enablers of green supply chain management (GSCM) in the UAE construction sector. An Interpretive structural modeling (ISM) approach is used to identify the contextual relationship of the enablers and to develop their hierarchical structure. Further the enablers are classified into visual quadrants on a graph using dependence-driving power analysis (DDPA). The hierarchical structure and graph will provide useful insights to corporates, government bodies and supply chain managers to understand and prioritize the key enablers of GSCM and the organizational strategies adopted by firms in the UAE. The study will contribute significantly to the first wave of empirical investigation in the region and will provide useful insights into GSCM in the UAE. A structural analysis of GSCM enablers as well as industry specific research of GSCM in construction sector is not previously developed in the UAE.
| Item Type: | Article |
|---|---|
| Sustainable Development Goals: | |
| Theme: | |
| Research Areas: | A. > Business School |
| Item ID: | 35990 |
| Notes on copyright: | This is the accepted manuscript of an article published by Inderscience in the International Journal of Logistics Systems and Management available in final form at http://dx.doi.org/10.1504/IJLSM.2014.064655
The author accepted manuscript included in this repository as permitted by the publisher's sharing policy https://www.inderscience.com/mobile/inauthors/index.php?pid=74 |
| Depositing User: | Sreejith Balasubramanian |
| Date Deposited: | 07 Nov 2022 10:41 |
| Last Modified: | 02 Feb 2023 17:19 |
| URI: | https://eprints.mdx.ac.uk/id/eprint/35990 |
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