Artificial intelligence‐powered chatbots in the fashion sector: The Affect–Behavior–Cognition model of attitudes-Reference-Cited by-同舟云学术

Artificial intelligence‐powered chatbots in the fashion sector: The Affect–Behavior–Cognition model of attitudes

Published:2024-08-02 Issue:1 Volume:53 Page:5-24
ISSN:1077-727X
Container-title:Family and Consumer Sciences Research Journal
language:en
Short-container-title:Family & Consum Sci Res J

Author:

Kang Ju‐Young M.¹^ORCID,Lee Ji Young²^ORCID,Choi Dooyoung³^ORCID,Koo Sumin Helen⁴^ORCID

Affiliation:

1. Fashion Design and MerchandisingDepartment of Family and Consumer Sciences University of Hawai‘i at Mānoa Honolulu Hawaii USA

2. Department of Fashion and Textile Technology State University of New York (SUNY) Buffalo State Buffalo New York USA

3. Fashion MerchandisingDepartment of STEM Education and Professional Studies Old Dominion University Norfolk Virginia USA

4. Department of Clothing & Textiles Yonsei University Seoul Korea

Abstract

AbstractThis study employed the Affect–Behavior–Cognition model of attitudes to examine the influence of 471 social media users' hedonic shopping motivations on their cognitive and behavioral responses toward AI chatbots in the fashion sector, considering the moderating effect of omni‐channel shopping tendencies. Structural equation modeling was employed for data analysis. This study found that cognitive responses (social and therapeutic shopping motivations) had an impact on affective responses (satisfaction with and attitude toward AI chatbots), which in turn influenced a behavioral response (word‐of‐mouth about AI chatbots). The results confirmed the moderating effect of omni‐channel shopping tendencies on customer reactions to AI chatbots.

Publisher

Wiley

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/fcsr.12521

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