Case Analysis of Generative AI Adoption and Application Based on the UTAUT Theory: Taking Ctrip's TripGenie Intelligent Travel Chatbot as an Example

Authors

  • Sun Dongshuo INTI International University, Nilai, Negeri Sembilan, Malaysia
  • Leong Wai Yie INTI International University, Nilai, Negeri Sembilan, Malaysia

DOI:

https://doi.org/10.61453/joit.v2025no10

Keywords:

TripGenie, UTAUT, Generative artificial intelligence, Tourism services

Abstract

This study takes TripGenie, an intelligent travel chatbot jointly developed by Trip.com (affiliated with Ctrip) and Microsoft, as a case study. Combined with the core framework of the Unified Theory of Acceptance and Use of Technology (UTAUT), it systematically analyzes the adoption logic and application value of Generative Artificial Intelligence (GenAI) in the tourism industry. The research findings indicate that the successful adoption of TripGenie stems from its accurate matching of the performance needs of both users and enterprises, reduction of technical usage thresholds, diffusion relying on industry demonstration effects, and formation of enabling conditions through the integration of resources from both parties. Ultimately, it achieves the upgrading of user experience, business growth, and optimization of operational efficiency.

Downloads

Published

2025-09-20

How to Cite

Dongshuo, S., & Wai Yie, L. (2025). Case Analysis of Generative AI Adoption and Application Based on the UTAUT Theory: Taking Ctrip’s TripGenie Intelligent Travel Chatbot as an Example. Journal of Innovation and Technology, 2025(1). https://doi.org/10.61453/joit.v2025no10