Engagement and social networks of the Asobal League clubs in 2023

Social networks bring the club closer to its fans and followers, and therefore, to its customers. As a result, this study aims to examine the different social networks used by Asobal League clubs, as well as to analyze the degree of engagement on Instagram (Ei) and Twitter (Et) as dependent variable...

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Detalles Bibliográficos
Autores: Berraquero Rodríguez, Diego, Chavarría Ortíz, Carlos, Baena González, Rafael, García Parejo, Antonia
Tipo de recurso: artículo
Fecha de publicación:2024
País:España
Institución:Universidad Católica San Antonio de Murcia (UCAM)
Repositorio:RIUCAM. Repositorio Institucional de la Universidad Católica San Antonio de Murcia
OAI Identifier:oai:repositorio.ucam.edu:10952/8116
Acceso en línea:http://hdl.handle.net/10952/8116
Access Level:acceso abierto
Palabra clave:Engagement
Handball
Social networks
Facebook
Redes sociales
Balonmano
Twitter
Descripción
Sumario:Social networks bring the club closer to its fans and followers, and therefore, to its customers. As a result, this study aims to examine the different social networks used by Asobal League clubs, as well as to analyze the degree of engagement on Instagram (Ei) and Twitter (Et) as dependent variables, and whether independent variables such as the ranking at the end of the season, victories, years since the club was founded, and the number of spectators, are able to explain the engagement. The study involved 10 professional clubs in the 2022/23 season, and statistical tests such as Pearson’s correlation models, simple linear regressions and multiple linear regressions were performed. The results show that the relationship between the variables Ei and Et is positive and statistically significant. The relationship between the explanatory variables and Engagement is not significant. It is noteworthy that Barça Handbol had the highest number of victories in the competition and yet the lowest Engagement. Despite the increase in studies on the effects of social networks, it is necessary to continue analyzing predictor variables of the degree of engagement of followers in order to achieve more stable and beneficial relationships.