Work

Travelers' Accommodation Intention Towards Smart Hotels: A Two-Stage Analysis Using SEM and fsQCA

Year: 2025

Type: article

Abstract: 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.

Source: Tourism and hospitality management

DOI: 10.20867/thm.31.3.7

Authors: Fei-Rung CHIU, Yan-Kwang CHEN

Institutions: Overseas Chinese University, National Taichung University of Science and Technology

Language: English

Topic: Technology Adoption and User Behaviour

Subfield: Information Systems and Management

Field: Decision Sciences

Domain: Social Sciences

SDG: Industry, innovation and infrastructure

Open Access status: diamond

Funder: Ministry of Science and Technology, Taiwan