The fashion industry is one of the largest contributors to environmental degradation, through fast production cycles and significant waste. As concerns about sustainability continue to grow, artificial intelligence (AI) is emerging as a powerful tool to help transform how fashion is produced and consumed. By creating more accurate demand forecasting, and supply chain optimization, AI has the potential to reduce excess production and encourage more mindful purchasing behaviors. Promoting sustainable consumption in fashion with AI highlights how technological innovation can support environmental responsibility while reshaping consumer habits. Promoting Sustainable Consumption in Fashion With AI explores how AI can influence more sustainable consumer decisions in the fashion industry. It examines technologies and ethical consciousness, and analyzes the extent to which algorithms can encourage responsible behavior in consumers. Covering topics such as AI, sustainability, and fashion industry, this book is an excellent resource for academicians, researchers, marketing professionals, fashion organizations, researchers, and graduate students.
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Luzia Amorim as a PhD in Applied Psychology from the University of Minho, Portugal, in 2023. In addition, she is doing a PhD in Marketing and Strategy at the University of Minho, Portugal. She is currently a researcher at Ekonomikas un Kulturas Augstskola (Serbia) and a guest lecturer at the Polytechnic University of Cávado and Ave and the University of Aveiro, Portugal. She has published book chapters in IGI Global on marketing, tourism, consumer behaviour, sustainability and artificial intelligence. He has published in the Journal of International Journal of Marketing, Journal of Cultural Heritage Management and Sustainable Development, Journal of International Consumer Marketing and the European Journal of Applied Business Management. He has received several awards, including the Best Paper Award in Sustainable Marketing & Digital Perspectives and the Best Paper Award in Consumer Behaviour.
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