Journal of Marketing Analytics

, Volume 7, Issue 2, pp 84–93 | Cite as

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

  • Myriam ErtzEmail author
  • Sébastien Leblanc-Proulx
Original Article


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.


Bibliometrics Content analysis Network analysis Visualization method Cluster analysis Co-citation analysis 



We thank Vincent Morin, head of the department of economics and social sciences, at Université du Québec à Chicoutimi (UQÀC), for his valuable support and unaltered trust throughout the conduct of this study. We would also like to express our gratitude to Érick Chamberland, professor at the department of economics and social sciences, at Université du Québec à Chicoutimi (UQÀC) for introducing us to the field of bibliometric analysis and his initiation of the project.


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Copyright information

© Springer Nature Limited 2019

Authors and Affiliations

  1. 1.LaboNFCUniversité du Québec à ChicoutimiChicoutimiCanada

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