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An implementation path for green information technology systems in the Ghanaian mining industry

An implementation path for green information technology systems in the Ghanaian mining industry
An implementation path for green information technology systems in the Ghanaian mining industry
The mining and extractive industry’s operations have significant harmful environmental consequences. Mining companies have started adopting green supply chain management (GSCM) practices which include green information technology systems (GITS) to help provide economic benefits while seeking minimal environmental damage. These mining organizations face significant hurdles related to introducing and implementing various GSCM practices which can address some of the environmental burdens. This study addresses this issue by adopting a GSCM practices framework and applying a novel decision support method that integrates grey numbers with DEMATEL and the NK model for evaluating and developing an implementation path model. Using a multiple case field study with input from managers of the Ghanaian gold mining industry, the adopted GSCM practices framework and methodology is applied. The results provide an evaluation and development path model to guide these organizations and managers for GSCM planning and investment decisions. The path results show that these organizations should first develop SSP (Strategic Supplier Partnership) with their suppliers for implementing GITS (Green Information Technology and Systems) and other GSCM practices. These results provide some exploratory insight and guidelines for managers and policy-makers who seek to integrate green initiatives. This study also sets the stage for further investigation of organizational greening in developing countries and the mining industry.
0959-6526
1105-1123
Bai, Chunguang
2b9d3a6f-e955-4a13-82c4-2b2a2c67a944
Kusi-Sarpong, Simonov
a7e68240-2b34-456e-9849-c01bd10c68f7
Sarkis, Joseph
8dd9610c-26f9-4504-bfe1-0d4a99c2dc88
Bai, Chunguang
2b9d3a6f-e955-4a13-82c4-2b2a2c67a944
Kusi-Sarpong, Simonov
a7e68240-2b34-456e-9849-c01bd10c68f7
Sarkis, Joseph
8dd9610c-26f9-4504-bfe1-0d4a99c2dc88

Bai, Chunguang, Kusi-Sarpong, Simonov and Sarkis, Joseph (2017) An implementation path for green information technology systems in the Ghanaian mining industry. Journal of Cleaner Production, 164, 1105-1123. (doi:10.1016/j.jclepro.2017.05.151).

Record type: Article

Abstract

The mining and extractive industry’s operations have significant harmful environmental consequences. Mining companies have started adopting green supply chain management (GSCM) practices which include green information technology systems (GITS) to help provide economic benefits while seeking minimal environmental damage. These mining organizations face significant hurdles related to introducing and implementing various GSCM practices which can address some of the environmental burdens. This study addresses this issue by adopting a GSCM practices framework and applying a novel decision support method that integrates grey numbers with DEMATEL and the NK model for evaluating and developing an implementation path model. Using a multiple case field study with input from managers of the Ghanaian gold mining industry, the adopted GSCM practices framework and methodology is applied. The results provide an evaluation and development path model to guide these organizations and managers for GSCM planning and investment decisions. The path results show that these organizations should first develop SSP (Strategic Supplier Partnership) with their suppliers for implementing GITS (Green Information Technology and Systems) and other GSCM practices. These results provide some exploratory insight and guidelines for managers and policy-makers who seek to integrate green initiatives. This study also sets the stage for further investigation of organizational greening in developing countries and the mining industry.

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An Implementation Path for Green Information Technology Systems in the Ghanaian Mining Industry - Accepted Manuscript
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Accepted/In Press date: 24 May 2017
e-pub ahead of print date: 14 June 2017
Published date: 15 October 2017

Identifiers

Local EPrints ID: 434271
URI: http://eprints.soton.ac.uk/id/eprint/434271
ISSN: 0959-6526
PURE UUID: 519790ba-7fa6-4640-bd4e-637b71860a13

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Date deposited: 18 Sep 2019 16:30
Last modified: 17 Dec 2019 05:01

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Contributors

Author: Chunguang Bai
Author: Joseph Sarkis

University divisions

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