Scientometric analysis of smart tourism using CiteSpace

IF 0.6 Q2 Social Sciences Economic Annals-XXI Pub Date : 2022-02-09 DOI:10.21003/ea.v195-02
D. Mamrayeva, L. Tashenova
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Abstract

This scientific article is devoted to the scientometric analysis of one of the new and relevant areas in economics – smart tourism, which has become widespread in the last 10-12 years. The research was conducted based on the using of materials from the Web of Knowledge database (Web of Science Core Collection: Science Citation Index Expanded, Social Science Citation Index, Arts and Humanities Citation Index Conference Proceedings Citation Index – Science, Conference Proceedings Citation Index – Social Science and Humanities Book Citation Index – Science, Book Citation Index – Social Science and Humanities, Emerging Sources Citation Index) for 2008-2022, which was later uploaded to CiteSpace 5.8.R3 to implement the tasks set in the research article: analysis of co-citations, including by authors; cluster analysis by keywords. It should be noted that the authors presented a capacious description of the WoS database array itself: from the perspective of the country component, institutes / universities / educational institutions and funding organizations, key sections, citation, types of documents, research area, Web of Science indexes / categories, etc. Also given a brief description of the authors whose work in the field of smart tourism is the most cited today. In general, it should be noted that the overall result of the search query «Smart Tourism» amounted to 724 documents, which were further used in the «Plain Text» format for scientometric analysis, which made it possible to determine the current and prospective areas of research in the field of smartification of tourism services, as well as build networks that visualize them visually. The author’s methodology for conducting scientometric analysis was also developed, starting from the moment the data array was received, and ending with the final visualization, which is universal, adaptive and complex, and can be used by any researcher when conducting a scientometric analysis of this kind in any of the branches of science, including in tourism.
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基于CiteSpace的智慧旅游科学计量学分析
这篇科学文章致力于对经济学中一个新的相关领域——智能旅游进行科学计量分析,该领域在过去10-12年中已经广泛存在。这项研究是在使用知识网络数据库中的材料的基础上进行的(Web of Science核心收藏:科学引文索引扩展,社会科学引文索引,艺术与人文引文索引会议论文集引文索引-科学,会议论文集引用索引-社会科学与人文图书引文索引-自然,图书引文索引–社会科学和人文,新兴资源引文索引)2008-2022年,后来上传到CiteSpace 5.8.R3,以执行研究文章中设定的任务:分析共同引用,包括作者的引用;关键词聚类分析。值得注意的是,作者对WoS数据库阵列本身进行了详尽的描述:从国家组成部分、研究所/大学/教育机构和资助组织、关键部分、引文、文献类型、研究领域、Web of Science索引/类别等角度。还简要介绍了当今被引用最多的作者在智能旅游领域的工作。总的来说,应该注意的是,搜索查询“智能旅游”的总结果为724份文件,这些文件在“纯文本”格式中被进一步用于科学计量分析,这使得确定旅游服务智能化领域的当前和未来研究领域,以及建立可视化网络成为可能。作者进行科学计量分析的方法也得到了发展,从收到数据阵列的那一刻开始,到最终的可视化结束,这是通用的、自适应的和复杂的,任何研究人员在任何科学分支(包括旅游业)进行此类科学计量分析时都可以使用。
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来源期刊
Economic Annals-XXI
Economic Annals-XXI ECONOMICS-
CiteScore
1.50
自引率
0.00%
发文量
0
期刊介绍: The Economic Annals-XXI Journal – recognized in Ukraine and abroad scientific-analytic edition. Scientific articles of leading Ukrainian and other foreign scientists, postgraduate students and doctorates, deputies of Ukraine, heads of state and local authorities, materials of scientific conferences and seminars; reviews on scientific monographs, etc. are regularly published in this Journal.
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