刘桂锋
智慧旅游研究进展、趋势与最新动态的文献计量学综述(Smart Tourism)
2025-9-4 09:35
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(本文发表于《Businesses》2025年第5卷第3期)

Abstract:Scholars are showing a growing interest in smart tourism, a promising trend in destination development. The current research studies have established a strong theoretical foundation on the functions of technology and the impacts of smart tourism on travelers. Nevertheless, little is known about the comprehensive and systemic effects on the growth of smart tourism in a particular destination. This study employs bibliometric analysis to examine the scientific literature of smart tourism research, based on 563 relevant publications retrieved from the leading database Web of Science Core Collection between 2000 and 2024 and analyzed using VOSviewer software 1.6.20 packages. The results show that the total number of relevant publications has gradually increased in recent years. Key journals include Tourism Management, Sustainability-Basel, and Annals of Tourism Research. The results also show that authors from the People’s Republic of China have the most publications and international co-authorships, while the most influential institution is the Hong Kong Polytechnic University. Moreover, research keywords have been identified, including smart tourism, smart cities, Internet of Things and big data. The research findings of this study provide valuable insights to further improve smart tourism research.

Keywords: tourism; smart tourism; bibliometric analysis; network analysis

摘要:学者们对智慧旅游这一颇具前景的目的地发展趋势展现出了日益浓厚的兴趣。当前的研究已在技术功能以及智慧旅游对游客的影响方面奠定了坚实的理论基础。然而,对于智慧旅游在特定目的地发展中所产生的全面且系统性的影响,我们仍知之甚少。本研究采用文献计量分析法,基于从权威数据库Web of Science核心合集(2000年至2024年)中检索到的563篇相关文献,并使用VOSviewer软件1.6.20版本进行分析,对智慧旅游研究的科学文献展开研究。结果显示,近年来相关文献总量呈逐步增长态势。主要期刊包括《旅游管理》(Tourism Management)、《可持续性》(Sustainability-Basel)和《旅游研究纪事》(Annals of Tourism Research)。研究结果还表明,中国的作者发表的论文数量最多,且国际合作论文数量也最多,而最具影响力的机构是香港理工大学。此外,研究还确定了若干研究关键词,包括智慧旅游、智慧城市、物联网和大数据。本研究的研究成果为进一步完善智慧旅游研究提供了宝贵见解。关键词:旅游业;智慧旅游;文献计量分析;网络分析

链接:A Bibliometric Review of Research Progress, Trends, and Updates on Smart Tourism Research https://www.mdpi.com/2673-7116/5/3/39  

转载本文请联系原作者获取授权,同时请注明本文来自刘桂锋科学网博客。

链接地址:https://wap.sciencenet.cn/blog-39723-1500346.html?mobile=1

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