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Determine and Clarify the Primary Elements for Measuring Agility in Mining Industries

Author

Listed:
  • Milad Javadi

    (Ph.D student, College of Business, Finance, Florida Atlantic University, USA)

  • Ahmad Latifian

    (Assistant Professor, Department of Management, Faculty of Economics and Administrative Sciences, Ferdowsi University Of Mashhad (FUM), IRAN)

  • Maryam Mazrooie

    (PhD Student, Department of Economics, Maxwell School of Citizenship & Public Affairs, Syracuse University, USA)

  • Fahimeh Ebrahimisadrabadi

    (PhD student, Department of Economics, Peter T. Paul College of Business and Economics, University of New Hampshire, USA)

Abstract

With the increasing competitiveness of markets and a greater focus on increasing productivity and reducing costs among businesses, quick access to accurate information has become an Aggressive advantage for companies. This study seeks to determine and clarify the primary elements for measuring agility in mining industries. The qualitative section was recognized using a meta-synthesis method of 124 sources and 16 agility measurement criteria containing IT communications, customer orientation, coordinated planning, etc. A survey with 20 mining industry experts using the Fuzzy Delphi method identified and prioritized key factors for supply chain agility: quality level, market adaptability, dispatch speed, pliability, expense reduction, novelty, customer-centricity, and IT communications, utilizing the DANP method and interpretive structural modeling. Findings revealed that customer orientation is a fundamental driver of agility, influencing each cost reduction and innovation. These factors impact product quality and communication, ultimately affecting responsiveness and delivery speed about market opportunities.

Suggested Citation

  • Milad Javadi & Ahmad Latifian & Maryam Mazrooie & Fahimeh Ebrahimisadrabadi, 2025. "Determine and Clarify the Primary Elements for Measuring Agility in Mining Industries," Journal of Business and Management Studies, Al-Kindi Center for Research and Development, vol. 7(3), pages 291-317, May.
    • Handle: RePEc:alk:jbms00:v:7:y:2025:i:3:id:9480
    DOI: 10.32996/jbms.2025.7.3.15
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