Liu Xiaoyan, Wider Walton, Fauzi Muhammad Ashraf, Jiang Leilei, Udang Lester Naces, Hossain Syed Far Abid
International Education College, Hebei Finance University, Boading, Hebei, China.
Faculty of Business and Communications, INTI international University, Nilai, Negeri Sembilan, Malaysia.
Heliyon. 2024 Feb 17;10(4):e26472. doi: 10.1016/j.heliyon.2024.e26472. eCollection 2024 Feb 29.
This study provides a bibliometric analysis of smart hotel research, drawing from 613 publications in the Web of Science (WoS) database to examine scholarly trends and developments in this dynamic field. Smart hotels, characterized by integrating advanced technologies such as AI, IoT, cloud computing, and big data, aim to redefine customer experiences and operational efficiency. Utilizing co-citation and co-word analysis techniques, the research delves into the depth of literature from past to future trends. In co-citation analysis, clusters including "Sustainable Hotel and Green Hotel", "Theories Integration in Smart Hotel Research", and "Consumers' Decisions about Green Hotels" underscore the pivotal areas of past and current research. Co-word analysis further reveals emergent trend clusters: "The New Era of Sustainable Tourism", "Elevating Standards and Guest Loyalty", and "Hotels' New Sustainable Blueprint in Modern Travel". These clusters reflect the industry's evolving focus on sustainability and technology-enhanced guest experiences. Theoretically, this research bridges gaps in smart hotel literature, proposing new frameworks for understanding customer decisions amid technological advancements and environmental responsibilities. Practically, it offers valuable insights for hotel managers, guiding technology integration strategies for enhanced efficiency and customer loyalty while underscoring the critical role of green strategies and sustainability.
本研究对智能酒店研究进行了文献计量分析，从科学引文索引（WoS）数据库中的613篇出版物中提取信息，以审视这一充满活力的领域的学术趋势和发展情况。智能酒店以整合人工智能、物联网、云计算和大数据等先进技术为特征，旨在重新定义客户体验和运营效率。该研究运用共被引分析和共词分析技术，深入探究从过去到未来趋势的文献深度。在共被引分析中，包括“可持续酒店与绿色酒店”“智能酒店研究中的理论整合”以及“消费者对绿色酒店的决策”等聚类突出了过去和当前研究的关键领域。共词分析进一步揭示了新兴趋势聚类：“可持续旅游的新时代”“提升标准与客户忠诚度”以及“现代旅游中酒店的新可持续蓝图”。这些聚类反映了该行业对可持续性和技术增强型客户体验的不断演变的关注。从理论上讲，本研究弥合了智能酒店文献中的差距，提出了在技术进步和环境责任背景下理解客户决策的新框架。在实践中，它为酒店经理提供了有价值的见解，指导技术整合策略以提高效率和客户忠诚度，同时强调绿色策略和可持续性的关键作用。
