Tourism and its economic impact: A literature review using bibliometric tools
By N. Comerio, Fernanda Strozzi. Tourism Economics, 2018
516 citations recorded by the source corpus.
Topics such as the relationship between tourism and economic impact, its potential benefits and negative externalities are characterized by both vastness and heterogeneity of contents. Therefore, it can be complex to pinpoint the seminal works of each area of study. To extract the backbones of the research tradition, we applied the dynamic literature review method called ‘Systematic Literature Network Analysis’, which combines systematic literature review and bibliographic network analysis. Additionally, this methodology can help to provide a panorama of the most developed areas of study concerning tourism, supporting newcomers to target specific topics and therefore to link to them.
Subfields: Sociology and Political Science, Tourism, Leisure and Hospitality Management
View Paper: https://www.semanticscholar.org/paper/574bf0fb96a299de53a214e49e083b12cba74de8
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In Sociology and Political Science
In Tourism, Leisure and Hospitality Management
Citations in the corpus
- Artificial Intelligence and Blockchain Integration in Business: Trends from a Bibliometric-Content Analysis (2022, background): “Comerio and Strozzi (2018) suggest that the keywords that authors list in a publication reflect the topical coverage of that publication and their co-occurrence reflects the topical trends prevalent in the research field.”
- Mapping 50 Years of Small Group Research Through Small Group Research (2020, background): “The importance of author keywords lies in the fact that authors think of them as the most important terms in the text (Pesta et al., 2018) and they are representative of the author’s intent (Comerio & Strozzi, 2019).”
- Financial literacy: A systematic review and bibliometric analysis (2020, unknown): “The author keywords represent the themes of research articles (Comerio & Strozzi, 2019).”
- How does tourism development affect environmental pollution? (2021, background): “It can have positive impacts on economies, societies, and cultures (Comerio and Strozzi, 2018).”
- Neuroimaging Techniques in Advertising Research: Main Applications, Development, and Brain Regions and Processes (2021, background): “The keywords co-occurrence has a significant quantitative (numerical) technique in bibliometrics [21] to investigate scientific constructs according to the assumption because keywords provide a coherent explanation to the articles’ content [22], wherein the connection between two keywords is express”
- Past, present, and future of sustainable finance: insights from big data analytics through machine learning of scholarly research (2022, unknown): “…whichisthelargesthigh-quality scientific database of scholarly articles (Comerio & Strozzi, 2019; Norris & Oppenheim, 2007), and thus chosen over its alternative, Web of Science, which contains less articles for review…”