Artificial intelligence‐powered chatbots in the fashion sector: The Affect–Behavior–Cognition model of attitudes
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Wiley Open Access
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| Auteurs principaux: | , , , |
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| Format: | Artículo Open Access |
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Wiley
2024
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| _version_ | 1867003369554444289 |
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| author | Ju‐Young M. Kang Ji Young Lee Dooyoung Choi Sumin Helen Koo |
| author_facet | Ju‐Young M. Kang Ji Young Lee Dooyoung Choi Sumin Helen Koo Ju‐Young M. Kang Ji Young Lee Dooyoung Choi Sumin Helen Koo |
| collection | Wiley Open Access |
| contents | Artificial intelligence‐powered chatbots in the fashion sector: The Affect–Behavior–Cognition model of attitudes Ju‐Young M. Kang Ji Young Lee Dooyoung Choi Sumin Helen Koo Family and Consumer Sciences Research Journal 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. 10.1111/fcsr.12521 http://onlinelibrary.wiley.com/termsAndConditions#vor |
| doi_str_mv | 10.1111/fcsr.12521 |
| format | Artículo Open Access |
| id | wiley_oa_10_1111_fcsr_12521 |
| institution | Wiley Open Access |
| license_str_mv | http://onlinelibrary.wiley.com/termsAndConditions#vor |
| publishDate | 2024 |
| publisher | Wiley |
| record_format | wiley_oa |
| spellingShingle | Artificial intelligence‐powered chatbots in the fashion sector: The Affect–Behavior–Cognition model of attitudes Ju‐Young M. Kang Ji Young Lee Dooyoung Choi Sumin Helen Koo Family and Consumer Sciences Research Journal Artificial intelligence‐powered chatbots in the fashion sector: The Affect–Behavior–Cognition model of attitudes Ju‐Young M. Kang Ji Young Lee Dooyoung Choi Sumin Helen Koo Family and Consumer Sciences Research Journal 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. 10.1111/fcsr.12521 http://onlinelibrary.wiley.com/termsAndConditions#vor |
| title | Artificial intelligence‐powered chatbots in the fashion sector: The Affect–Behavior–Cognition model of attitudes |
| topic | Family and Consumer Sciences Research Journal |
| url | https://onlinelibrary.wiley.com/doi/10.1111/fcsr.12521 |