인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2025.9
- 수록면
- 193 - 204 (12page)
- DOI
- 10.35174/JKCI.2025.09.25.3.193
이용수
초록· 키워드
Against the backdrop of artificial intelligence (AI) reshaping the global retail ecosystem, traditional retail models face numerous challenges, and AI-powered online shopping guidance has become pivotal for retailers’ digital transformation. This study aims to explore the impact of AI online shopping guide characteristics on consumer behavioral mechanisms. Grounded in the Theory of Reasoned Action (TRA) and the Theory of Planned Behavior (TPB), a theoretical model was constructed with professionalism of guidance, interaction style, and personalized recommendations as independent variables; consumer trust and satisfaction as mediating variables; and purchase intention as the dependent variable. Empirical validation was conducted through an analysis of 475 valid questionnaires from users of mainstream Chinese e-commerce platforms. The results indicate that the professionalism of AI guides, interaction style, and personalized recommendations are all positively correlated with purchase intention. Additionally, consumer trust and satisfaction play partial mediating roles between these variables and purchase intention. This research provides strategic insights for optimizing AI-guided systems on e-commerce platforms and extends the application of traditional behavioral theories to intelligent service scenarios.
#AI Professionalism of Guidance
#Interaction Style
#Personalized Recommendations
#Purchase Intention
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목차
- Ⅰ. Introduction
- Ⅱ. Literature Review and Theoretical Foundations
- Ⅲ. Research Hypotheses and Model
- Ⅳ. Research Design
- Ⅴ. Data Analysis
- Ⅵ. Research Implications
- 참고문헌
참고문헌
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