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Sustainable industrial development potential of Iranian provinces using the integration of MEREC and TRUST methods

Author

Listed:
  • Hossein Komasi
  • Amir Karbassi Yazdi
  • Davood Jamini
  • Yong Tan
  • Lanndon Ocampo

Abstract

This work conducts a data-driven comparative analysis of sustainable industrial development potential across the 31 provinces of Iran. Such an analysis requires the consideration of multiple indicators, espousing the need for an integrated multi-criteria decision-making approach. Weights were assigned to the indices using the Method Based on the Removal Effects of Criteria (MEREC), while province rankings were determined through a mulTi-noRmalization mUlti-distance aSsessmenT (TRUST) approach. Findings highlight a spatial disparity among the provinces of Iran concerning their industrial indices. Despite certain provinces boasting substantial potential, their actual development has been largely disproportionate. In the province rankings based on industrial indices, Khuzestan province secures the top position, while Ilam province holds the lowest position among the 31 provinces of Iran. The results underscore the need to accord special attention to the sustainable industrial development of Iranian provinces, particularly those with significant potential. Sensitivity analysis suggests the robustness of the proposed integrated approach.

Suggested Citation

  • Hossein Komasi & Amir Karbassi Yazdi & Davood Jamini & Yong Tan & Lanndon Ocampo, 2025. "Sustainable industrial development potential of Iranian provinces using the integration of MEREC and TRUST methods," Journal of Management Analytics, Taylor & Francis Journals, vol. 12(4), pages 849-881, October.
    • Handle: RePEc:taf:tjmaxx:v:12:y:2025:i:4:p:849-881
    DOI: 10.1080/23270012.2025.2506748
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