Business of fashion sustainability index : an analysis on willingness to pay, perceived quality and purchase intention

• Autor(a) principal: Aguirre Murillo, Ana Maria
• Data de Publicação: 2023
• Tipo de documento: Dissertação
• Idioma: eng
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: http://hdl.handle.net/10400.14/41703
• topic: Sustainability index; Fashion industry; Willingness to pay; Perceived quality; Purchase intention; Consumer behavior; Índice de sustentabilidade; Indústria da moda; Disposição a pagar; Qualidade percebida; Business of fashion; Intenção de compra; Comportamento do consumidor; Domínio/Área Científica::Ciências Sociais::Economia e Gestão

Textile, clothing, and fashion (TCF) industry is one of the most polluting and resourceconsuming industries in the world, second only to the oil industry. In response to social and environmental issues in the fashion industry and pressure from various stakeholders, companies are addressing sustainability issues more than ever. The launch of the Business of Fashion Sustainability Index, which provides information about companies' performance on sustainability goals, is an effort to raise consumer awareness of the practises behind the products they buy. The purpose of this study is to gain a better understanding of how the BoF Sustainability Index influences consumer purchasing decisions for fashion items. More specifically, an experimental procedure was used to test the effects of BoF Sustainability Index information (high, low, and no information) on fashion product consumption, namely willingness to pay, perceived quality, and intention to purchase footwear. In addition, the effects of demographic variables such as gender, generation, and nationality were also considered. According to the results, the sustainability index influences consumers' willingness to pay, perceived quality, and purchase intention. In general, attitudes toward SI were very positively received by respondents and considered beneficial. The socio-demographic variables used in this experiment were key to understanding the effects of the manipulated variables on the dependent variables.