3.8 Article

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

Journal

BENCHMARKING-AN INTERNATIONAL JOURNAL
Volume 24, Issue 4, Pages 882-902

Publisher

EMERALD GROUP PUBLISHING LTD
DOI: 10.1108/BIJ-06-2016-0089

Keywords

SWOT analysis; Causal relationship; Fuzzy DEMATEL; Indian coal mining industry

Categories

Ask authors/readers for more resources

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.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

3.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available