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Review of a proposed methodology for bibliometric and visualization analyses for organizations: application to the collaboration economy

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  • Myriam Ertz

    (Université du Québec à Chicoutimi)

  • Sébastien Leblanc-Proulx

    (Université du Québec à Chicoutimi)

Abstract

This paper presents the bibliometric and visualization method applied to a dataset of 729 documents published in the collaborative economy research field. Four steps are described in details: (1) the delimitation of the field of study; (2) the selection of databases, keywords, and search criteria; (3) the extraction, cleaning, and formatting; and finally (4) the co-citation analysis and visualization. The method validation section shows the results obtained by applying our methodological procedure to an author network analysis as well as a source title network analysis. This study is unique which presents a co-citation analysis coupled with a network visualization applied to the rapidly growing research area of the collaborative economy as a whole and not only of the collaborative tourism and hospitality research, as has been previously. The originality of this method lies firstly in the fact that the data were extracted from two databases (Scopus and Web of Science) instead of one as is commonly done in analytic studies. Secondly, VOSviewer was our main analytical tool performing the co-citation analysis and the network visualizations.

Suggested Citation

  • Myriam Ertz & Sébastien Leblanc-Proulx, 2019. "Review of a proposed methodology for bibliometric and visualization analyses for organizations: application to the collaboration economy," Journal of Marketing Analytics, Palgrave Macmillan, vol. 7(2), pages 84-93, June.
    • Handle: RePEc:pal:jmarka:v:7:y:2019:i:2:d:10.1057_s41270-019-00052-9
    DOI: 10.1057/s41270-019-00052-9
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    References listed on IDEAS

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    Cited by:

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    2. Saïd Echchakoui, 0. "Why and how to merge Scopus and Web of Science during bibliometric analysis: the case of sales force literature from 1912 to 2019," Journal of Marketing Analytics, Palgrave Macmillan, vol. 0, pages 1-20.
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    4. Jared M. Hansen & Paul Wilson, 2023. "Modeling and explaining the growth patterns over time of country-specific website clickstream metrics," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(4), pages 561-576, December.

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