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The Quantification Role of BWM in Problem Structuring Methods: SYRCS Methodology

In: Advances in Best-Worst Method

Author

Listed:
  • Moein Khazaei

    (Tarbiat Modares University)

  • Mohammad Ramezani

    (Tarbiat Modares University)

  • Amin Padash

    (Tarbiat Modares University)

  • Dorien DeTombe

    (Chair International Research Society on Methodology Societal Complexity)

Abstract

A variety of factors, including qualitative opinions of stakeholders, choosing complexities, and the long-term consequences of each decision may significantly challenge the system development process. The present study attempted to give a clarification of the role played by Best-Worst Method (BWM, a Multi-Attribute Decision-Making (MADM)) within the framework (SYRCS) of problem structuring methods with a specific focus on payment systems in Iran. To this end, the problem was analysed step by step, and then an innovative problem-structuring methodology was proposed. The framework includes different methods from different paradigms: Critical Systems Heuristics (CSH) from Emancipatory Operations Research, Robust Analysis (RA) and Strategic Choice Approach (SCA) from Soft Operational Research, and BWM from quantitative and Multi-Attribute Decision-Making methods. Through the final stages of survey, the long-term consequences of each decision were quantified and evaluated using BWM to help researchers find the suitable options. Moreover, the representatives of each stakeholder were asked to assess each option using some specific and relevant criteria used to reach out the best options through the lens of shared value creation.

Suggested Citation

  • Moein Khazaei & Mohammad Ramezani & Amin Padash & Dorien DeTombe, 2022. "The Quantification Role of BWM in Problem Structuring Methods: SYRCS Methodology," Lecture Notes in Operations Research, in: Jafar Rezaei & Matteo Brunelli & Majid Mohammadi (ed.), Advances in Best-Worst Method, pages 252-271, Springer.
    • Handle: RePEc:spr:lnopch:978-3-030-89795-6_18
    DOI: 10.1007/978-3-030-89795-6_18
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