时尚界的人工智能聊天机器人：情感-行为-认知态度模型

IF 1.3 Q3 FAMILY STUDIES

Family & Consumer Sciences Research Journal Pub Date : 2024-08-02 DOI:10.1111/fcsr.12521

Ju-Young M. Kang, Ji Young Lee, Dooyoung Choi, Sumin Helen Koo

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引用次数: 0

摘要

本研究采用 "情感-行为-认知 "态度模型，考察了 471 名社交媒体用户的享乐主义购物动机对他们对时尚界人工智能聊天机器人的认知和行为反应的影响，同时考虑了全渠道购物倾向的调节作用。数据分析采用了结构方程模型。研究发现，认知反应（社交和治疗性购物动机）会影响情感反应（对人工智能聊天机器人的满意度和态度），而情感反应又会影响行为反应（关于人工智能聊天机器人的口碑）。结果证实，全渠道购物倾向对客户对人工智能聊天机器人的反应具有调节作用。

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

This 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.

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来源期刊

Family & Consumer Sciences Research Journal FAMILY STUDIES-

CiteScore

1.70

自引率

28.60%

发文量

期刊介绍： Publishing original research and scholarly reviews in areas of family and consumer sciences and related disciplines, Family & Consumer Sciences Research Journal is concerned with the general well-being of families and individuals, including such areas as child and family studies; clothing and textiles; consumer sciences education; family economics and management; food and nutrition; and housing, equipment, and design.