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Measuring Corporate Gender Diversity and Inclusion with UW-TOPSIS and Linguistic Intervals

In: Operational Research Methods in Business, Finance and Economics

Author

Listed:
  • Vicente Liern

    (Universidad de Valencia)

  • Blanca Pérez-Gladish

    (Universidad de Oviedo)

Abstract

The objective of this work is to propose fuzzy adequacy indicators to measure the degree of gender diversity in firms. The construction of these indicators will be based on an extension of the Unweighted Technique for Order of Preference by Similarity to Ideal Solution (UW-TOPSIS). This multiple criteria decision-making (MCDM) method simultaneously minimizes the distance to a positive ideal solution and maximizes distance to a negative ideal solution. The positive ideal solution is composed of the best value of each criterion, and the negative ideal solution is composed of the worst values of the decision criteria. The method provides a cardinal ranking of alternatives based on a relative proximity index to the positive ideal solution. In our proposal, the relative importance of the diversity and inclusion decision criteria will be described by means of linguistic labels which will be transformed into intervals on the real line. The main features and advantages of this approach will be illustrated with a real problem where a set of Finnish companies will be assessed based on their degree of adequacy in terms of gender inclusion and diversity.

Suggested Citation

  • Vicente Liern & Blanca Pérez-Gladish, 2023. "Measuring Corporate Gender Diversity and Inclusion with UW-TOPSIS and Linguistic Intervals," Lecture Notes in Operations Research, in: Constantin Zopounidis & Angeliki Liadaki & Marianna Eskantar (ed.), Operational Research Methods in Business, Finance and Economics, pages 81-97, Springer.
    • Handle: RePEc:spr:lnopch:978-3-031-31241-0_4
    DOI: 10.1007/978-3-031-31241-0_4
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