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A novel fuzzy general best–worst method for considering diversity and inclusion in supplier selection programs

Author

Listed:
  • Madjid Tavana

    (La Salle University
    University of Paderborn)

  • Shahryar Sorooshian

    (University of Gothenburg)

  • Meysam Sarvarizadehkouhpaye

    (Shahid Beheshti University)

  • Hassan Mina

    (Saito University College)

Abstract

Socially responsible procurement includes diversity and inclusion, and many companies have found diverse sourcing plays a substantial role in their success. Supplier diversity and inclusion initiatives can significantly impact innovation, reputation, employee engagement, and organizational retention. This paper presents a novel fuzzy general best–worst method for considering diversity and inclusion in supplier selection programs. The proposed approach considers the causal relationships between the criteria in the evaluation process within a network with complex intertwined components and a hierarchical structure. The uncertainty consideration method integrated into the proposed approach allows experts to consider ambiguous and imprecise judgments in the assessment process. We present a supplier selection case study with scenario analysis for a clean energy public–private partnership in the wind farm industry to demonstrate the applicability and efficacy of the proposed approach.

Suggested Citation

  • Madjid Tavana & Shahryar Sorooshian & Meysam Sarvarizadehkouhpaye & Hassan Mina, 2025. "A novel fuzzy general best–worst method for considering diversity and inclusion in supplier selection programs," Annals of Operations Research, Springer, vol. 353(1), pages 281-320, October.
    • Handle: RePEc:spr:annopr:v:353:y:2025:i:1:d:10.1007_s10479-024-06044-y
    DOI: 10.1007/s10479-024-06044-y
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