Izvorni znanstveni članak
https://doi.org/10.20867/thm.31.3.7
Travelers' Accommodation Intention Towards Smart Hotels: A Two-Stage Analysis Using SEM and fsQCA
Fei-Rung Chiu
; Associate Professor, Overseas Chinese University, Taiwan Department of Hotel and M.I.C.E Management
Yan-Kwang Chen
; Professor National Taichung University of Science and Technology, Taiwan Department of Distribution Management
Sažetak
Purpose – As IoT and AI advance, smart hotels are gaining popularity. This research explores
why travelers prefer them, focusing on novelty, efficiency, compatibility, and value to
understand accommodation intentions.
Methodology/Design/Approach – Targeting participants familiar with RAISA technology in
smart hotels, this study uses structural equation modeling (SEM) and fuzzy set qualitative
comparative analysis (fsQCA) to validate and examine the research model, identifying factors
influencing travelers’ acceptance of smart hotels.
Findings – SEM analysis shows that travelers’ intention to choose smart hotels is influenced
by perceived novelty, efficacy, and compatibility, both directly and through perceived value.
fsQCA reveals three attribute configurations linked to a strong intention to stay at smart
hotels, offering insights on how perceived attributes enhance travelers’ intentions and helping
hotels develop effective attraction strategies.
Originality of the research – This study examines smart hotel adoption determinants using
innovation diffusion and information processing theories, expanding to include perceived
novelty, efficacy, and compatibility. fsQCA insights highlight the importance of aligning these
elements to increase adoption rates among travelers.
Ključne riječi
Smart hotel, Accommodation intention, Innovations, Value, fsQCA, AI
Hrčak ID:
334790
URI
Datum izdavanja:
29.8.2025.
Posjeta: 281 *