Wardrobe Renaissance—The Intersection of Circular Economy and Sustainable Fashion Consumption—From Bibliometric Analysis to a Conceptual Framework Model

Abstract

This study aims to conduct a comprehensive bibliometric analysis of research on circular economy and sustainable fashion consumption. By examining the existing literature, we seek to identify key predictors that influence consumer behaviour and adoption of sustainable fashion practices within a circular economy framework. Using a bibliometric approach, we will analyse a large dataset of scholarly publications to identify research trends, most productive countries and relevant sources. Through text mining techniques, we will extract keywords, co-citation networks and citation analysis to uncover the most prominent predictors influencing sustainable fashion consumption. Drawing on prominent theories such as the Theory of Planned Behaviour, SHIFT model and Goal Framing Theory, we will draw up a conceptual model of potential predictors such as environmental awareness, trust, social influence, hedonic value and fashion consciousness. This study will contribute to a deeper understanding of the factors driving sustainable fashion consumption and provide valuable insights for policymakers, businesses and consumers. By identifying key predictors, we can develop more effective strategies to promote sustainable fashion practices and transition towards a circular economy.