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Ranking the strategies of mining sector through anp and topsis in a swot framework

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  • Reza Azimi
  • Abdolreza Yazdani-Chamzini
  • Mohammad Majid Fouladgar
  • Edmundas Kazimieras Zavadskas
  • Mohammad Hossein Basiri

Abstract

Mining plays one significant role in most countries and it acts as a foundation for growth and development. It produces raw material for other sectors such as industry, agriculture, etc. So, determining and prioritizing the strategies of mining are so important. Miscellaneous types of tools are offered for determining and evaluating of operational strategies. Analyzing the internal and external environments using strengths, weaknesses, opportunities, and threats (SWOT) helps to determine the current situation and to identify major prospects and challenges that could significantly impact strategy implementation in mining sector. Multi criteria decision making (MCDM) methods are appropriate tools to prioritize under sophisticated environment. Analytical network process (ANP) and TOPSIS are two hands of MCDM methods that are used in different researches. In this paper, we proposed an integrated model for prioritizing the strategies of Iranian mining sector. We employed the SWOT analysis to assign feasible strategies; then, ANP was applied in order to obtain the weight of SWOT factors, finally the strategies were ranked through TOPSIS technique. The results show that improving the ability of exploitation and production outperforms other strategies.

Suggested Citation

  • Reza Azimi & Abdolreza Yazdani-Chamzini & Mohammad Majid Fouladgar & Edmundas Kazimieras Zavadskas & Mohammad Hossein Basiri, 2011. "Ranking the strategies of mining sector through anp and topsis in a swot framework," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 12(4), pages 670-689, September.
    • Handle: RePEc:taf:jbemgt:v:12:y:2011:i:4:p:670-689
    DOI: 10.3846/16111699.2011.626552
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    References listed on IDEAS

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    1. Yoram Wind & Thomas L. Saaty, 1980. "Marketing Applications of the Analytic Hierarchy Process," Management Science, INFORMS, vol. 26(7), pages 641-658, July.
    2. Thomas L. Saaty, 2006. "The Analytic Network Process," International Series in Operations Research & Management Science, in: Decision Making with the Analytic Network Process, chapter 0, pages 1-26, Springer.
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    8. Catron, Jonathan & Stainback, G. Andrew & Dwivedi, Puneet & Lhotka, John M., 2013. "Bioenergy development in Kentucky: A SWOT-ANP analysis," Forest Policy and Economics, Elsevier, vol. 28(C), pages 38-43.
    9. Grošelj, Petra & Hodges, Donald G. & Zadnik Stirn, Lidija, 2016. "Participatory and multi-criteria analysis for forest (ecosystem) management: A case study of Pohorje, Slovenia," Forest Policy and Economics, Elsevier, vol. 71(C), pages 80-86.
    10. Long Zhang & Wuliyasu Bai, 2020. "Risk Assessment of China’s Natural Gas Importation: A Supply Chain Perspective," SAGE Open, , vol. 10(3), pages 21582440209, July.
    11. Reinsberger, Kathrin & Brudermann, Thomas & Hatzl, Stefanie & Fleiß, Eva & Posch, Alfred, 2015. "Photovoltaic diffusion from the bottom-up: Analytical investigation of critical factors," Applied Energy, Elsevier, vol. 159(C), pages 178-187.
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