Earticle

초록

영어

This study examines how information presentation strategies―specifically online review provision and price framing―affect user experience and reuse intention in an LLM-based hotel recommender chatbot. To investigate this, we developed a hybrid chatbot integrating a large language model (LLM), Text-to-SQL, and Retrieval-Augmented Generation (RAG), and conducted a 2 × 2 between-subjects experiment based on real user interactions. Data were collected from 160 participants who interacted with the chatbot and subsequently completed a survey. The results indicate that both online review provision and downward price framing significantly enhance perceived recommender chatbot quality, which subsequently increases user satisfaction and reuse intention, whereas their interaction effect is not significant. In addition, exploratory factor analysis revealed that the multidimensional structure of chatbot quality converged into a single higher-order factor. Mediation analysis further showed that the effects of information presentation strategies on behavioral outcomes were mediated by perceived chatbot quality and satisfaction. These findings suggest that, in conversational recommender environments, information presentation strategies influence user behavior primarily through holistic quality evaluations rather than through direct effects on satisfaction.

목차

ABSTRACT
Ⅰ. Introduction
Ⅱ. Conceptual Background
2.1. AI-Based Recommender Chatbots
2.2. Information Presentation in Recommender Chatbots
2.3. Online Reviews (eWOM)
2.4. Price Framing
Ⅲ. Proposed Framework and Hypotheses
3.1. Proposed Framework
3.2. Variables
3.3. Hypotheses
Ⅳ. Research Methodology
4.1. Hotel Data Collection and Preprocessing
4.2. Design of the Hotel Recommender Chatbot
4.3. Experimental Design and Data Collection Procedure
4.4. Measurement
4.5. Data Analysis
Ⅴ. Results
5.1. Sample Characteristics
5.2. Reliability and Descriptive Statistics
5.3. Two-way ANOVA
5.4. Exploratory Factor Analysis
5.5. Mediation Analysis
Ⅵ. Discussion and implications
6.1. Discussion of Findings
6.2. Limitations and Future Research
6.3. Implications for Research and Practice
Ⅶ. Conclusion

키워드

저자

• Juyoung Kim [ Professor, Department of Business Administration, School of Business, Sogang University, Korea ]
• Jaeyoung Jang [ M.S., Department of Business Administration, School of Business, Sogang University, Korea ] Corresponding Author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  Asia Pacific Journal of Information Systems

• 간기

  계간

• pISSN

  2288-5404

• eISSN

  2288-6818

• 수록기간

  1990~2026

• 등재여부

  KCI 등재,SCOPUS

• 십진분류

  KDC 325 DDC 658