Modelling Tourists’ Acceptance of Hotel Experience-Enhancement Smart Technologies
Donglin Han (Renmin University of China)
H. Hou (TU Delft - Real Estate Management)
Hao Wu (University of Melbourne)
Joseph H.K. Lai (The Hong Kong Polytechnic University)
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Abstract
Whereas the use of specific smart technologies in various sectors of the tourism industry has been under greater scrutiny in recent years, research that investigates tourists’ acceptance of smart technologies applied as a whole to hotels is largely underexplored. To address this shortfall, a study with a focus on tourists’ acceptance of experience-enhancement smart technologies has been conducted. A technology acceptance model based conceptual framework was developed, followed by a series of interviews with the managerial staff of ten hotels in Hong Kong that adopt experience-enhancement smart technologies. Based on the interview findings, a questionnaire was designed for use in a survey in which data were collected face-to-face from 312 tourists. Structural equation modelling was utilised to reveal the interrelationships between nine technology acceptance parameters. This study contributes knowledge to both real-world practice and research in tourism management.
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