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

Madjid Tavana (), Shahryar Sorooshian (), Meysam Sarvarizadehkouhpaye () and Hassan Mina ()
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Madjid Tavana: La Salle University
Shahryar Sorooshian: University of Gothenburg
Meysam Sarvarizadehkouhpaye: Shahid Beheshti University
Hassan Mina: Saito University College

Annals of Operations Research, 2025, vol. 353, issue 1, No 13, 320 pages

Abstract: 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.

Keywords: Supplier selection; Diversity and inclusion; General best–worst method; Fuzzy set theory; Clean energy; Wind farm (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/s10479-024-06044-y

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