Predicción de la lealtad de los usuarios de centros deportivos privadosVariables de gestión y bienestar subjetivo

  1. Pascual, Fernando García 1
  2. Alguacil, Mario 2
  3. Molina García, Núria 3
  1. 1 Universitat de València
    info

    Universitat de València

    Valencia, España

    ROR https://ror.org/043nxc105

  2. 2 Universidad Católica de Valencia San Vicente Mártir
    info

    Universidad Católica de Valencia San Vicente Mártir

    Valencia, España

    ROR https://ror.org/03d7a9c68

  3. 3 Universitat d'Alacant
    info

    Universitat d'Alacant

    Alicante, España

    ROR https://ror.org/05t8bcz72

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Journal:
Retos: nuevas tendencias en educación física, deporte y recreación

ISSN: 1579-1726,  1988-2041

Year of publication: 2020

Issue: 38

Pages: 16-19

Type: Article

DOI: 10.47197/RETOS.V38I38.73345 DIALNET GOOGLE SCHOLAR lock_openDialnet editor

More publications in: Retos: nuevas tendencias en educación física, deporte y recreación

Abstract

One of the most important purpose in the context of sports services is to know what the costumer’s future intentions are, so trying to analyze costumer loyalty has become one of the main objectives within the management of sport, specifically sports centers. Therefore, the aim is to know what influence the other management variables and subjective well-being have on this dimension that measures the future intentions of the costumer, such as loyalty. The sample of this work was made up of 303 costumers of the sports centre (164 men, 139 women). For statistical analysis it was used with SPSS v.23. All the variables that formed the model obtained good results in terms of reliability, being the emotional value the one that obtained the highest alpha value of Cronbach. After calculating the descriptive statistics of the different scales of the model, a multiple regression analysis is carried out, and it is observed how this one explains 38% of the variance, showing all the variables significance with the loyalty of the user, excepting the variable that measures the price value. After knowing which variables influence loyalty prediction, providing sports managers with information about which variables to reinforce will help to obtain more loyal costumers and consequently faithful to the service.

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