Quantifying SWOT analysis for the Indian coal mining industry using Fuzzy DEMATEL

Abstract

Purpose

The purpose of this paper is to quantify the strengths, weaknesses, opportunities and threats (SWOT) analysis for the Indian coal mining industry using Fuzzy Decision-Making Trial and Evaluation Laboratory.

Design/methodology/approach

After obtaining 17 factors from literature and expert opinion, an interview questionnaire was designed and tested to assure the content validity of questionnaire. A group of 15 qualified experts consisting of 4 professors from academic institutions and 11 management professionals from mining sector with substantial experience were consulted.

Findings

The result from causal relationship implied that the decision makers should focus on improving the ability of exploitation and production using quality improvement initiative such as lean production, developing research and development units for clean coal technology and working with strong exporters. This study also finds that foreign investment in mining sector is also a main factor that highly influences other factors.

Research limitations/implications

The study is based on personal judgments and the shortage of respondents limits the study to ensure the validity.

Practical implications

The stated strategies both for the government and industry through SWOT analysis could facilitate improved productivity of the Indian coal industry if adopted.

Originality/value

This paper demonstrates a process for quantitative SWOT analysis for the Indian coal mining industry that can be performed even when there is dependence among factors.

Citation

Khaba, S. and Bhar, C. (2017), "Quantifying SWOT analysis for the Indian coal mining industry using Fuzzy DEMATEL", Benchmarking: An International Journal, Vol. 24 No. 4, pp. 882-902. https://doi.org/10.1108/BIJ-06-2016-0089