DETERMINANTS OF AI ADOPTION INTENTION IN FASHION DESIGN: A REVIEW

Abstract

Artificial intelligence (AI) is increasingly applied across diverse fields, emerging as a frontier in fashion design research and practice. The use of AI tools has significantly advanced innovation and sustainability in the fashion design industry. However, user adoption intentions toward AI tools remain unclear, and systematic literature integration is lacking. This research primarily aims to comprehensively explore the factors that influence users' willingness to adopt AI tools in the fashion design industry. This study strictly adheres to the PRISMA guidelines, conducting systematic literature searches and screening in Google Scholar and the CNKI database. Through a comprehensive analysis of the included studies (encompassing research theories, adoption variables, and findings), it was found that a multi-layered, complex system of factors influences the willingness to adopt AI tools in the fashion design industry. This study overcomes the limitations of single-theory models by identifying and evaluating determinants of adoption intention within the specific context of fashion design creation. By synthesising a more comprehensive, contextualised theoretical framework, this study extends the application of the Technology Acceptance Model in the field of fashion design. It not only offers new perspectives on understanding designer-technology interactions but also provides user-centred design directions for AI developers, effective technology promotion strategies for fashion enterprises, and guidance for educational institutions in cultivating human-machine collaboration capabilities. This research integrates relevant studies to fill a critical gap in understanding the adoption intentions of AI tools within the fashion design industry.