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Identification of Improvement Priorities for chatGPT Attributes Using the Three-Factor Theory

delete2025-11-06
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PRE
AI
Ö
Özgür Davras *
O
Onur Aktürk
DOI:10.1080/1528008X.2025.2585299delete
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Abstract

Abstract

En 中文
Artificial intelligence-based ChatGPT, which emerged with the development of digital technologies, has become a profound impact on several tourism processes. This research seeks to explore the dimensional structure of ChatGPT’s attributes and analyze travelers’ perceptions of these attributes. Additionally, it investigates how each perception affects overall user satisfaction (OUS) by employing a nonlinear approach to the relationships between attribute-level performances. The results of a questionnaire survey involving 403 tourists who visited Marmaris, Turkey, reveal that intelligence and information quality were the most important determinants of OUS. Additionally, anthropomorphism, personalization, trust, and ease of use were identified as basic necessities. Theoretical and practical implications of the findings are also discussed.
Keywords:
ChatGPT
ChatGPT attributes
asymmetric-impact-performance-analysis
artificial intelligence

Journal

Journal of Quality Assurance in Hospitality and Tourism cover
Journal of Quality Assurance in Hospitality and Tourism
IF:
2.3
Papers:
218
Citations:
1.5K

Organization

S
Suleyman Demirel University
Scholars:
2.4K
Papers: 2.2K
Citations: 184
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