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Developing a Logistics Framework That Contributes to Economic Growth: A Fuzzy ISM-MICMAC Approach

  • Vishal Jain
  • , Anshuman Sharma
  • , Haidar Abbas
  • , Mohit Kukreti
  • , Sara Al Abri
  • , Mallak Al Makdami
  • The University of Technology and Applied Sciences-Ibri
  • College of Applied Sciences

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

This study identified essential logistics performance indicators that contribute to economic development and created a logistics framework for understanding and forecasting future economic performance. A two-stage technique, which included expert opinions and the fuzzy ISM-MICMAC approach, was used to determine links, priorities and impacts of the identified indicators. Of the 10 essential indicators studied, efficient ports, quality control and risk management activities ranked as the top three. According to the data, organizations that have access to effective logistics networks are more likely to launch or grow regional operations. Creating a logistics framework based on key indicators can help boost economic growth by allowing stakeholders to identify areas for improvement and devise plans to strengthen the logistics industry.

Original languageEnglish
Article number23197145251345235
JournalFIIB Business Review
DOIs
StateAccepted/In press - 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 8 - Decent Work and Economic Growth
    SDG 8 Decent Work and Economic Growth

Keywords

  • Efficient logistics network
  • fuzzy ISM-MICMAC
  • logistics framework
  • performance indicators

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