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. 2023 May 25:1-34.
doi: 10.1007/s13132-023-01334-5. Online ahead of print.

Data Sources as a Driver for Market-Oriented Tourism Organizations: a Bibliometric Perspective

Affiliations

Data Sources as a Driver for Market-Oriented Tourism Organizations: a Bibliometric Perspective

Juan Vidal et al. J Knowl Econ. .

Abstract

This paper presents a conceptual framework that accurately represents the current and future perspectives of data-driven companies in tourism by means of an analysis of the data sources used in the data-driven tourism research literature, as well as the research topics to which they are applied. For this purpose, a bibliometric analysis of data-driven tourism research is carried out. The framework of the study is all tourism-related publications whose research was based on data sources during the period 1982-2020. The results show some of the basic bibliometric performance indicators and the maps of science. The main themes of research interest are identified, and the conceptual evolution is obtained based on these maps. Three major thematic areas are identified: tourism research topics, information sources, and data analysis techniques. Based on these three thematic areas, the conceptual model of data architecture and processes of a data-driven organization in the tourism sector are obtained. An additional qualitative analysis of the three thematic areas is performed.

Keywords: Bibliometric analysis; Data analysis; Data sources; Data-driven; Market-oriented; Tourism.

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Conflict of interest statement

Competing InterestsThe authors declare no competing interests.

Figures

Fig. 1
Fig. 1
Conceptual model of data architecture and processes of a data-driven organization based on Moreno et al. (2019)
Fig. 2
Fig. 2
Main steps of the methodology
Fig. 3
Fig. 3
Strategic diagram (Cobo et al., 2012)
Fig. 4
Fig. 4
Time series representing number of documents by period
Fig. 5
Fig. 5
Bar chart containing journals with more than 10 publications
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Fig. 6
World map with countries with more than 10 publications
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Fig. 7
Strategic diagram for the period 1982–2015. The number of documents in each theme is shown
Fig. 8
Fig. 8
Strategic diagram for the period 1982–2015 classified by thematic area. The number of documents in each theme is shown
Fig. 9
Fig. 9
Strategic diagram for the 2016–2021 period. The number of documents in each theme is shown
Fig. 10
Fig. 10
Strategic diagram for the period 2016–2021 classified by thematic areas. The number of documents in each theme is shown
Fig. 11
Fig. 11
Conceptual evolution maps between periods
Fig. 12
Fig. 12
Keywords in theme “online-reviews”
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Fig. 13
Keywords in theme “clustering”
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Fig. 14
Keywords in theme “machine learning”
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Keywords in theme “deep learning”
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Fig. 16
Conceptual model of data architecture and processes of a data-driven organization in the tourism sector

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