This study proposes a stable matching decision-making to assist small and medium-sized enterprises (SMEs) in the sustainable fashion sector identify strategic priorities and navigate scenario-driven market challenges.
This study integrates a stable matching algorithm with asymmetric-relations principles. A preliminary consumer survey identified relevant Brazilian market clusters, followed by an exploratory assessment of four sustainable-fashion companies to characterize their strategic profiles.
The outcomes identified stable pairings between companies’ profiles and consumer clusters, revealing patterns of strategic compatibility within the slow fashion market. They also showed that changes in market capacity affect matching frequency and stability, providing insights for companies’ management.
This study helps SMEs respond to emerging market demands by integrating consumer segmentation with business capability profiles, offering a novel perspective on sustainable fashion.
