款待
旅游
酒店业
酒店管理学
营销
独创性
知识管理
业务
计算机科学
社会学
定性研究
政治学
社会科学
法学
作者
Arthur Huang,Ying Chen,Efrén de la Mora Velasco,Anil Bilgihan,Wei Wei
出处
期刊:Journal of hospitality and tourism insights
[Emerald (MCB UP)]
日期:2021-07-22
卷期号:5 (5): 1080-1100
被引量:88
标识
DOI:10.1108/jhti-01-2021-0021
摘要
Purpose This study reviews existing research and current applications of artificial intelligence (AI) in the hospitality and tourism industry. It further proposes a new evaluation framework to inform the susceptibility of AI adoptions. Design/methodology/approach This is a synthesis and evaluation study that qualitatively summarizes and presents findings on AI applications in the hospitality and tourism industry. Current AI applications are rated using a seven-dimensional framework based on Rogers' (2003) diffusion theory. Findings AI adoption susceptibility in the hospitality and tourism industry varies based on the type of AI. Search/booking engines, virtual agents and chatbots rank high in the adoption susceptibility. Research limitations/implications This study bridges innovation diffusion theoretical underpinnings and AI applications. The findings support researchers, developers and managers in evaluating the adoption susceptibility of AI technologies in the hospitality and tourism industry. Originality/value This paper is among the few that focus on assessing AI adoption susceptibility in the hospitality and tourism industry. This paper develops a theory-based framework for systematically evaluating AI innovations in hospitality and tourism.
科研通智能强力驱动
Strongly Powered by AbleSci AI