Foued Ben Said, Natanya Meyer, N. Bahri-Ammari, Mohammad Soliman
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The second method is scientific mapping, which outlines the connections (i.e., intellectual, social, and conceptual structure) between facets related to shopping tourism. Using Bradford's and Lotka's laws, the research revealed a remarkable increase in shopping tourism sources, authors, and articles, reflecting a substantial evolutionary curve of this research theme. Various affiliations and countries have contributed considerably to shopping tourism research during the period. The analysis of science mapping produced a substantial understanding of shopping tourism's social, intellectual, and conceptual structure. This review article provides several implications for research via perspicuous overviews and insights into shopping tourism, Big Data, and its knowledge structures. 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引用次数: 0
摘要
近年来,购物旅游学科发表的研究成果激增,涵盖了广泛的主题和问题。然而,对这一研究领域的文献进行回顾和直观映射的综述和/或文献计量研究却少得令人吃惊。因此,本研究对 1979 至 2021 年间发表在 Scopus 和 Web of Science 数据库收录的学术期刊上与购物旅游相关的文章进行了全面的文献计量和系统综述。文献计量分析采用了两种方法。第一种是绩效分析法,分析购物旅游研究各组成部分的贡献。第二种方法是科学绘图法,该方法概述了购物旅游相关方面之间的联系(即知识、社会和概念结构)。利用布拉德福德定律和洛特卡定律,研究发现购物旅游的资料来源、作者和文章显著增加,反映了这一研究主题的实质性演变曲线。在此期间,不同机构和国家为购物旅游研究做出了巨大贡献。通过对科学图谱的分析,我们对购物旅游的社会、知识和概念结构有了实质性的了解。这篇综述文章通过对购物旅游、大数据及其知识结构的精辟概述和见解,为研究提供了若干启示。文章还就四十年来购物旅游研究的关键主题、新趋势和主要贡献者,为旅游政策制定者、目的地管理组织(DMO)和旅游营销人员提供了各种实际启示。
Shopping Tourism: A Bibliometric Review from 1979 to 2021
The discipline of shopping tourism has seen a surge in published research in recent years, covering a wide range of topics and issues. However, there are surprisingly few reviews and/or bibliometric studies to review and visually map the literature in this field of research. As a result, the present work has employed a comprehensive bibliometric and systematic review concerning shopping tourism-related articles published in academic journals indexed in Scopus and Web of Science databases between 1979 and 2021. Two methodologies were used in this bibliometric analysis. The first is performance analysis, which analyzes the contributions of the components that comprise research in shopping tourism. The second method is scientific mapping, which outlines the connections (i.e., intellectual, social, and conceptual structure) between facets related to shopping tourism. Using Bradford's and Lotka's laws, the research revealed a remarkable increase in shopping tourism sources, authors, and articles, reflecting a substantial evolutionary curve of this research theme. Various affiliations and countries have contributed considerably to shopping tourism research during the period. The analysis of science mapping produced a substantial understanding of shopping tourism's social, intellectual, and conceptual structure. This review article provides several implications for research via perspicuous overviews and insights into shopping tourism, Big Data, and its knowledge structures. It also holds a variety of practical implications for tourism policymakers, destination management organizations (DMOs), and tourism marketers regarding the key themes, new trends, and main contributors to shopping tourism research over four decades of research.