Analyzing environment sustainability enablers using fuzzy DEMATEL for an Indian steel manufacturing company

Abstract

Purpose

The purpose of this paper is to analyze the Environmental Sustainability Enablers (ESEs) for an Indian steel manufacturing company to select the appropriate set of ESEs for implementing and enhancing environmental sustainability.

Design/methodology/approach

A methodology using fuzzy Decision-Making Trail and Evaluation Laboratory (DEMATEL) is proposed to analyze ESEs capturing multiple experts’ qualitative judgments on their mutual impacts. It is applied to an Indian steel manufacturing company to understand the salient features of the concept.

Findings

The relevant 18 ESEs were classified into cause and effect group and also interactions (i.e. influencing and influenced) of each ESE with other ESEs were evaluated. It was observed that the five ESEs (i.e. competitors’ environmental sustainability strategy, environmental compliance certification, government regulations and incentives, influence of external factors and air pollution controlling system) are the most prominent in the cause group.

Research limitations/implications

The results obtained are specific to an Indian steel manufacturing company and it cannot be generalized for steel manufacturing sector. However, the current paper can show direction to carry out such work in other manufacturing companies.

Practical implications

The proposed methodology will be helpful for allocating efforts and resources to enhance the impact of ESEs for successful achievement of environmental sustainability.

Originality/value

No such paper has been reported in the literature with an objective to develop structural framework for Indian steel manufacturing company to improve environmental sustainability.

Citation

Goyal, S., Routroy, S. and Singhal, A. (2019), "Analyzing environment sustainability enablers using fuzzy DEMATEL for an Indian steel manufacturing company", Journal of Engineering, Design and Technology, Vol. 17 No. 2, pp. 300-329. https://doi.org/10.1108/JEDT-02-2018-0033