Modelling the structure of the sports management research field using the bertopic approach

Authors

DOI:

https://doi.org/10.47197/retos.v47.93622

Keywords:

Sports management, bibliometric analysis, topic modelling, BERTopic, UMAP, hDBSCAN

Abstract

Sports management is a field of study that has grown significantly. However, little is known about its structure. Therefore, this article presents an unsupervised cluster learning approach based on a thematic analysis of abstracts. It applies to a large corpus of sports management documents to gain insight into the structure of the discipline. A total of 3,704 records were downloaded from the Scopus database. Data were processed using the BERTopic approach. The results indicate that sports management is a growing and highly collaborative field of study. The themes (or topics) were diversified (25 clusters). Due to their proximity, seven meta topics were also identified. While the interest in major sports events and the social impact of sports tourism has lessened in recent years, other fields of study, such as entrepreneurship, innovation and sports club management, have captured the interest of researchers.

Keywords: Sports management, bibliometric analysis, topic modelling, BERTopic, UMAP, hDBSCAN.

Author Biographies

Manuel Sánchez Franco , Universidad de Sevilla

University of Seville

Ferran Calabuig , Universitat de València

Departamento de Educación Física y Deportiva, Universitat de València. C/ Gascó Oliag 3, 46010, Valencia (Valencia)

María Huertas González-Serrano , Universitat de València

Departamento de Educación Física y Deportiva, Universitat de València. C/ Gascó Oliag 3, 46010, Valencia (Valencia)

Downloads

Published

2023-01-02

How to Cite

Alonso-Dos-Santos, M., Sánchez Franco, M., Calabuig, F. ., & González-Serrano, M. H. . (2023). Modelling the structure of the sports management research field using the bertopic approach. Retos, 47, 648–663. https://doi.org/10.47197/retos.v47.93622

Issue

Vol. 47 (2023)

Section

Original Research Article

License

Copyright (c) 2023 Retos

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Authors who publish with this journal agree to the following terms:

  1. Authors retain copyright and ensure the magazine the right to be the first publication of the work as licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of authorship of the work and the initial publication in this magazine.
  2. Authors can establish separate additional agreements for non-exclusive distribution of the version of the work published in the journal (eg, to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
  3. Is allowed and authors are encouraged to disseminate their work electronically (eg, in institutional repositories or on their own website) prior to and during the submission process, as it can lead to productive exchanges, as well as to a subpoena more Early and more of published work (See The Effect of Open Access) (in English).

This journal provides immediate open access to its content (BOAI, http://legacy.earlham.edu/~peters/fos/boaifaq.htm#openaccess) on the principle that making research freely available to the public supports a greater global exchange of knowledge. The authors may download the papers from the journal website, or will be provided with the PDF version of the article via e-mail.