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

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Titel: A novel fuzzy general best–worst method for considering diversity and inclusion in supplier selection programs.
Autoren: Tavana, Madjid1,2 (AUTHOR) tavana@lasalle.edu, Sorooshian, Shahryar3 (AUTHOR) shahryar.sorooshian@gu.se, Sarvarizadehkouhpaye, Meysam4 (AUTHOR) m.sarvarizadeh@mail.sbu.ac.ir, Mina, Hassan5 (AUTHOR) hassan.mina.ut@gmail.com
Quelle: Annals of Operations Research. Oct2025, Vol. 353 Issue 1, p281-320. 40p.
Schlagwörter: *DIVERSITY & inclusion policies, *DECISION making, *SUPPLIERS, *SUSTAINABLE procurement, EVALUATION methodology
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. [ABSTRACT FROM AUTHOR]
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Datenbank: Business Source Index
Beschreibung
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. [ABSTRACT FROM AUTHOR]
ISSN:02545330
DOI:10.1007/s10479-024-06044-y