The Adoption Of Mobile Outfit Recommendation Apps: A Preliminary Study On Young Users

The present paper addresses the willingness of young consumers to adopt a mobile application designed to recommend daily outfits and wardrobe organization suggestions. As digital technologies continue to shape everyday life, young consumers are increasingly engaging in mobile solutions that support not only efficiency but also self-expression. The study aims to investigate the motivations behind the acceptance and utilization of such an application, with a focus on how technology integrates into fashion-related routines. Employing a mixed-methods approach, the research combines a quantitative survey that explores how perceptions of usefulness, ease of use, and fashion consciousness influence usage intent and a qualitative analysis of in-depth interviews with potential users. The quantitative phase gathered data from 102 participants aged predominantly 14 – 24, and the findings showed a positive attitude toward these digital tools, especially when they offer emotional value such as inspiration and creativity, alongside functional benefits like timesaving and organization. The qualitative phase explores the lived experiences and perceptions of individuals regarding the application’s potential benefits, limitations, and integration into their daily routines. A noticeable gap emerges between the interest in using and the willingness to pay, highlighting the challenges in monetizing fashion-app products for younger audiences. The findings have implications for app developers and marketers in creating the design and promotion of such technologies to enhance user engagement and market penetration in a digital landscape. By connecting digital adoption with lifestyle and emotional drivers, this research contributes to a deeper understanding of how youth engage with mobile fashion technology. Future research should explore the longitudinal effects of app usage on fashion decision- making and investigate the role of social influence and personalization features in driving adoption.