Cited by 11AI in Service InteractionsDigital Marketing and Social MediaTechnology Adoption and User Behaviour

Avoidance of AI-Empowered Digital Service Assistants in Fashion Shopping: The Negative Side of Personalized Recommendation of Chatbots

Yoon, Namhee, Choi, Dooyoung, Lee, Ha Kyung·2025·Journal of Global Fashion Marketing

Abstract

While people often resist suggestions when their autonomy is challenged, the reluctance to use chatbot services due to perceived threats to freedom of choice remains unexplored. Based on psychological reactance theory, this study investigates the effects of personalized recommendations by AI chatbots, focusing on how they could lead to chatbot avoidance. An online survey collects data from 186 participants who had experience using chatbot services during online shopping. The results of bootstrapping analysis show that personalized recommendations by chatbots increase avoidance behavior, serially mediated by perceived threats to freedom and negative affect. The study also finds the interplay effect of the personalized recommendations of chatbots and fashion involvement on the threat to freedom. When consumers have low fashion involvement, personalized recommendations by a chatbot decrease the threat of freedom. However, when consumers have high fashion involvement, the personalized recommendations of chatbots increase their perceptions of the threat of freedom. This research contributes to the understanding of negative consumer responses to AI chatbots in retail, offering insights into how personalized recommendations can be perceived as intrusive and impact consumer acceptance negatively.

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Registry

Crossref · 10.1080/20932685.2025.2510946

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6 of 6 references verified0 citation errors · 0 not checkable

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Authors
Yoon, N., Choi, D., & Lee, H. K.
Affiliations
  • Korea University (KR)
  • Old Dominion University (US)
  • Chungnam National University (KR)
Corresponding author
Lee, Ha Kyung
Venue
Journal of Global Fashion Marketing
Published
2025-06-13
Volume
16
Issue
4
Pages
423-442
ISSN
  • 2093-2685 (ISSN-L)
  • 2325-4483
OpenAlex
W4411288207
Cited by
11
References
6
Citations by year
2026: 8 · 2025: 3
FWCI
4.45
Type
journal article
Language
en
Open access
closed
Locations
Journal of Global Fashion Marketing (publishedVersion)
Funders
  • Ministry of Education of the Republic of Korea
  • National Research Foundation of Korea
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › AI in Service Interactions
  • Social Sciences › Sociology and Political Science › Digital Marketing and Social Media
  • Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
Keywords
AI chatbots, personalized recommendation, reactance, negative affect, fashion involvement, online shopping, consumer acceptance of AI, fashion retail

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