Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

A Meta-Analysis of Sustainable Fashion Studies Since the Rana Plaza Collapse and Its Relation to the SDGs

Version 1 : Received: 22 December 2023 / Approved: 22 December 2023 / Online: 22 December 2023 (07:20:37 CET)

How to cite: Nagano, A. A Meta-Analysis of Sustainable Fashion Studies Since the Rana Plaza Collapse and Its Relation to the SDGs. Preprints 2023, 2023121711. https://doi.org/10.20944/preprints202312.1711.v1 Nagano, A. A Meta-Analysis of Sustainable Fashion Studies Since the Rana Plaza Collapse and Its Relation to the SDGs. Preprints 2023, 2023121711. https://doi.org/10.20944/preprints202312.1711.v1

Abstract

The collapse of the Rana Plaza factory profoundly affected the fashion industry and society, serving as a reminder of the importance of social issues in academics and practice. Some scholars have pointed out that academia lacks fashion studies on social issues that are more prevalent in developing countries. Therefore, this study aims to determine a meta-analysis of sustainable fashion research since the Rana Plaza collapse and how it aligns with the United Nations' sustainable development goals (SDGs). The applied method is automated content analysis, and seven academic agendas were extracted by analyzing sustainable fashion literature. The findings showed that academic scholarship has covered various topics, ranging from design to social issues, whereas the results have not clarified the relationship between social issues and developing countries. The findings also show that SDG 12 stood out, which is responsible consumption and production. Aside from the production community, consumers need to be aware of socio-environmental problems to make harmonious lifestyle choices with nature. Furthermore, scholars need to align themselves with an easier-to-understand concept of sustainable fashion to make a public appeal for it as a societal importance.

Keywords

sustainable fashion; sustainable development goals; academic agenda; automated content analysis

Subject

Social Sciences, Other

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