چکیده مقاله
Artificial intelligence AI is revolutionizing the tourism industry by enabling personalized and data driven solutions that enhance the user experience AI based tour planners, offering real time assistance and tailored recommendations, are becoming essential tools for modern travelers However, limited research has explored the specific factors influencing user acceptance of these applications, particularly through the lens of user generated feedback This study addresses this gap by extending the Technology Acceptance Model TAM Using a dataset of 2,825 Google Play reviews of AI powered tour planning applications, this research employs advanced text mining techniques to identify key adoption drivers and barriers The findings reveal that perceived usefulness, personalization, and real time adaptability are critical enablers of user acceptance, while technical issues such as software glitches and compatibility challenges hinder adoption These insights contribute to the theoretical refinement of TAM and provide practical recommendations for developers to enhance the design and functionality of AI driven tour planning applications The study underscores the transformative potential of AI in redefining travel experiences and highlights the need for further research on cultural, ethical, and longitudinal aspects of AI adoption in tourism
کلیدواژهها
نویسندگان
Reza Shafei
Associate Prof , Department of Business Administration, Faculty of Humanities and Social Sciences, University of Kurdistan, Sanandaj, Iran
Salar Kuhzady
Assistant Professor, Department of Business Administration, Faculty of Humanities and Social Sciences, University of Kurdistan, Sanandaj, Iran
شیوه ارجاع
Shafei, Reza and Kuhzady, Salar,1403,Factors Influencing User Acceptance of AI-Based Tour Planners: An Extension of the Technology Acceptance Model Using Google Play Reviews,The 14th ECDC2025 international e-commerce conference with the approach of artificial intelligence, Internet of Things, business and metaverse,Shiraz
ارائهشده در
مجموعه مقالات چهاردهمین کنفرانس بین المللی تجارت الکترونیک ECDC۲۰۲۵ با رویکرد هوش مصنوعی، اینترنت اشیاء، کسب و کار و متاورس25 بهمن 1403 · شیراز