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논문 기본 정보

자료유형
학술저널
저자정보
최두영 (올드도미니언 대학교) 이하경 (충남대학교)
저널정보
한국지역사회생활과학회 한국지역사회생활과학회지 한국지역사회생활과학회지 제35권 제2호
발행연도
2024.5
수록면
219 - 232 (14page)
DOI
10.7856/kjcls.2024.35.2.219

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표지
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연구주제
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연구배경
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연구방법
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연구결과
AI에게 요청하기
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초록· 키워드

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This study sought to explore the perceived value of AI-designed clothing and its impact on consumer attitudes toward products and approach behaviors, such as the willingness to pay (WTP) a price premium and word-of-mouth (WOM) intention. Specifically, it examined consumers’ perceived values (i.e., quality·functional value, emotional value, and behavioral price value) for AI-designed clothing. Additionally, it investigated the moderating role of gender differences. Data were collected through an online survey on Amazon Mechanical Turk. Participants viewed a video demonstrating an AI system creating various clothing designs before responding to a series of questions. A total of 314 respondents completed the survey. The collected data were analyzed using the AMOS 26.0 software for confirmatory factor analysis (CFA) and structural equation modeling (SEM). The SEM results indicated that quality·functional and emotional values positively influenced product attitudes, which enhanced WTP a price premium and WOM intention. However, the behavioral price value had no significant effect on product attitudes. Furthermore, the PROCESS Macro was used to assess the moderating effect of gender on the relationship between perceived value and product attitudes. While the interaction between quality·functional value and gender did not significantly influence product attitudes, the effects of emotional and behavioral price values on product attitudes were gender-dependent. For both male and female consumers, the quality·functional value of AI-designed clothing led to enhanced WTP a price premium and WOM intentions. However, emotional and behavioral price values appeared to be more crucial for increasing the approach behaviors of male rather than female consumers.

목차

ABSTRACT
Ⅰ. 서론
Ⅱ. 이론적 배경
Ⅲ. 연구방법
Ⅳ. 결과 및 고찰
Ⅴ. 요약 및 결론
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