The PLS method in tourism research: A bibliometric approach


  • Abraham Nuñez-Maldonado Universidad Michoacana de San Nicolás de Hidalgo. Facultad de Contaduría y Ciencias Administrativas
  • Martha Beatriz Flores-Romero Universidad Michoacana de San Nicolás de Hidalgo. Facultad de Contaduría y Ciencias Administrativas
  • Amador Durán-Sánchez Departamento de Economía Financiera y Contabilidad, Instituto Universitario de Investigación para el Desarrollo Territorial Sostenible (INTERRA), Facultad de Empresa Finanzas y Turismo, Universidad de Extremadura


PLS-SEM, Tourism, Bibliometric, Rstudio


Objectives: Observe the development of the application of Partial Least Squares Structural Equation Modelling (PLS-SEM), and why it is suitable for theory development in tourism research, their main expositors both in terms of authors and countries, as well as the relationships between them and the keywords used.

Methods: This study empirically examines the PLS method in tourism research published between 2000 and 2020 in the Web of Science (WoS) databases, using the terms "PLS" and "tourism". Bibliometric review software Rstudio was used, applying the "Bibliometrix" and "Biblioshiny" packages.

Results: It shows the increase in publications in recent years, being in 2014 when the exponential increase begins, the country with the highest production of scientific articles is Spain, while the most prolific university is the University Sains of Malaysia, as well as the classification of authors by the various indexes or by their production over time, also has the relationships that exist between keywords, authors and universities, to conclude with a heat map of research worldwide

Conclusion: The main conclusions of the present study are that there is a clear increase in the use of the PLS-SEM technique in tourism research, where Spain is the country that publishes the most on the subject, not having journals specialised in this topic, and where the main authors and the different classification indices for them are shown.


Ali, F., Rasoolimanesh, S. M., Sarstedt, M., Ringle, C. M., and Ryu, K. (2018). An assessment of the use of partial least squares structural equation modeling (PLS-SEM) in hospitality research. International Journal of Contemporary Hospitality Management, 30(1), 514–538.
Álvarez-García, J., del Río-Rama, M. de la C., and Miras-Rodríguez, M. del M. (2017). How do quality practices affect the results?: The experience of thalassotherapy centres in Spain. Sustainability (Switzerland), 9(4), 1–19.
Bianchi, C., Pike, S., and Lings, I. (2014). Investigating attitudes towards three South American destinations in an emerging long haul market using a model of consumer-based brand equity (CBBE). Tourism Management, 42, 215–223.
Hair, J. F., Sarstedt, M., Pieper, T. M., and Ringle, C. M. (2012). The Use of Partial Least Squares Structural Equation Modeling in Strategic Management Research: A Review of Past Practices and Recommendations for Future Applications. Long Range Planning, 45(5–6), 320–340.
Rasoolimanesh, S. M., Ringle, C. M., Jaafar, M., and Ramayah, T. (2017). Urban vs. rural destinations: Residents’ perceptions, community participation and support for tourism development. Tourism Management, 60, 147–158.
Shmueli, G., Sarstedt, M., Hair, J. F., Cheah, J. H., Ting, H., Vaithilingam, S., and Ringle, C. M. (2019). Predictive model assessment in PLS-SEM: guidelines for using PLSpredict. European Journal of Marketing, 53(11), 2322–2347.




Como Citar

Nuñez-Maldonado, A. ., Flores-Romero, M. B. ., & Durán-Sánchez , A. . (2022). The PLS method in tourism research: A bibliometric approach. Tourism and Hospitality International Journal, 18(1), 84–99. Obtido de