Intenciones de Comportamiento, Uso de la App del Gimnasio y Satisfacción General de los Miembros: Un Análisis Multigrupo

Autores/as

DOI: https://doi.org/10.6018/cpd.548731
Palabras clave: Ciencia del deporte, satisfacción del cliente, coeficiente de trayectoria, invariabilidad de la medida, fitness app

Resumen

Es conocido que el uso de la aplicación (app) del gimnasio está asociado a la satisfacción de los miembros con la marca. Sin embargo, no se ha demostrado la diferencia en el uso de las aplicaciones teniendo en cuenta las distintas características de los miembros. Así, el objetivo de este estudio es analizar si la intención de uso de la app del gimnasio, en el comportamiento de uso efectivo y también en la satisfacción global de los miembros, varía en función del sexo, la edad, la calificación académica y el tiempo de afiliación al gimnasio. Para el análisis de los datos se utilizó el software SmartPLS 3.3.3. La invariabilidad de la medición de los modelos compuestos se comprobó mediante la medición del modelo compuesto en tres pasos (MICOM). Para el análisis multigrupo (AMG), se utilizó la permutación y se compararon los coeficientes de trayectoria de cada grupo. Los resultados de 1403 miembros mostraron que la influencia de las intenciones de comportamiento en la utilización de los miembros y la satisfacción general varía según las características sociodemográficas de los miembros y la duración de la afiliación. Los resultados también revelaron que la influencia de las intenciones de comportamiento tanto en la satisfacción general de los miembros como en el comportamiento de uso es mayor en los hombres, en los miembros más jóvenes, en los que tienen menor nivel académico y en los que llevan menos tiempo inscritos en el gimnasio. Estas conclusiones resultan útiles para que los gestores de los gimnasios puedan definir mejores estrategias de gestión deportiva para lograr la satisfacción de los miembros. Además, este hallazgo proporciona información a los diseñadores de estas aplicaciones, destacando las características que los usuarios valoran más a la hora de utilizarla.

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Ato, M., López, J. J. & Benavente, A. (2013). Un sistema de clasificación de los diseños de investigación en psicología. Anales de Psicología, 29(3), 1038-1059. https://dx.doi.org/10.6018/analesps.29.3.178511.

Beh, P. K., Ganesan, Y., Iranmanesh, M. & Foroughi, B. (2019). Using smartwatches for fitness and health monitoring: the UTAUT2 combined with threat appraisal as moderators. Behaviour & Information Technology, 40(3), 282–299. https://doi.org/10.1080/0144929X.2019.1685597

Bhuyan, S. S., Lu, N., Chandak, A., Kim, H., Wyant, D., Bhatt, J. & Chang, C. F. (2016). Use of Mobile Health Applications for Health-Seeking Behavior Among US Adults. Journal of Medical Systems, 40(6), 153. https://doi.org/10.1007/s10916-016-0492-7

Bodet, G. (2006). Investigating customer satisfaction in a health club context by an application of the tetraclasse model. European Sport Management Quarterly, 6(2), 149–165.

Bošnjak, S. (2001). The declaration of Helsinki: The cornerstone of research ethics. Archive of Oncology, 9(3), 179-184.

Busch, L., Utesch, T. & Strauss, B. (2022). Normalised step targets in fitness apps affect users’ autonomy need satisfaction, motivation and physical activity – a six-week RCT. International Journal of Sport and Exercise Psychology, 20(1), 223-244. https://doi.org/10.1080/1612197X.2020.1854820

Carroll, J. K., Moorhead, A., Bond, R., LeBlanc, W. G., Petrella, R. J. & Fiscella, K. (2017). Who Uses Mobile Phone Health Apps and Does Use Matter? A Secondary Data Analytics Approach. J Med Internet Res, 19(4), e125. https://doi.org/10.2196/jmir.5604

Chu, S.-C. (2011). Determinants of consumer engagement in electronic word-of-mouth (eWOM) in social networking sites. International Journal of Advertising, 30(1). https://doi.org/10.2501/IJA-30-1-047-075

Davis, F. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008

Elavsky, S., Smahel, D. & Machackova, H. (2017). Who are mobile app users from healthy lifestyle websites? Analysis of patterns of app use and user characteristics. Translational Behavioral Medicine, 7, 1–11. https://doi.org/10.1007/s13142-017-0525-x

Évrard, Y. (1993). La satisfaction des consommateurs: état des recherches. Revue française du marketing, (144), 53-66.

Feld, J. (2018). Cloud-Connected Sensors Are Helping Gyms Track Equipment Use. IHRSA. https://www.ihrsa.org/improve-your-club/cloud-connected-sensors-are-helping-gyms-track-weight-and-cardio-equipment-use/

Ferreira-Barbosa, H., García-Fernández, J. & Cepeda-Carrión, G. (2023). The Mediating Role of e-Lifestyles to Use the Fitness Center App. International Journal of Human–Computer Interaction, 1–10. https://doi.org/10.1080/10447318.2023.2204273

Ferreira Barbosa, H., García-Fernández, J., Pedragosa, V. & Cepeda-Carrion, G. (2022a). The use of fitness centre apps and its relation to customer satisfaction: a UTAUT2 perspective. International Journal of Sports Marketing and Sponsorship, 23(5), 966–985. https://doi.org/10.1108/IJSMS-01-2021-0010

Ferreira Barbosa, H., García-Fernández, J. & Cepeda-Carrión, G. (2022b). Development Digital Marketing Plans through Understanding Use Behaviour of Fitness Apps in Portuguese Fitness Centres. In R. M. Crabtree & J. J. Zhang (Eds.), Sport Marketing in a Global Environment: Strategic Perspectives (pp. 161–170). Routledge. https://doi.org/https://doi.org/10.4324/9781003270041

Ferreira Barbosa, H. & Pedragosa, V. (2021). As aplicações (Apps) de fitness dos ginásios: características, vantagens de utilização e o comportamento dos membros. Revista Portugal Activo, 9, 34–35.

Fornell, C. (1992). A National Customer Satisfaction Barometer: The Swedish Experience. Journal of Marketing, 56(1), 6–21. https://doi.org/10.2307/1252129

Franco, S., Santos Rocha, R., Ramalho, F., Simões, V., Isabel, V. & Ricardo Ramos, L. (2021). Tendências do Fitness em Portugal para 2021. Cuadernos de Psicología del Deporte, 21(2), 242–258. https://doi.org/10.6018/cpd.467381

Franco, S., Santos-Rocha, R., Ramalho, F., Simões, V., Vieira, I. & Ramos, L. (2022). Tendências do Fitness em Portugal para 2022. Motricidade, 18(1). https://doi.org/10.6063/motricidade.25847

Franco, S., Rocha, R. S., Simões, V., Ramalho, F., Vieira, I. & Ramos, L. (2023). Tendências do Fitness em Portugal para 2023 Fitness Trends in Portugal for 2023. Retos, 2041, 401–412. https://doi.org/https://doi.org/10.47197/retos.v48.97094

Guo, H. & Li, Z. (2022). An Analysis of the Learning Effects and Differences of College Students Using English Vocabulary APP. Sustainability. 14(15), 9240. https://doi.org/10.3390/su14159240

Hair, J. F., Sarstedt, M., Ringle, C. M. & Gudergan, S. P. (2018). Advanced Issues in Partial Least Squares Structural Equation Modeling. SAGE Publications.

Harriss, D. J., MacSween, A. & Atkinson, G. (2019). Ethical Standards in Sport and Exercise Science Research: 2020 Update. International Journal of Sports Medicine, 40(13), 813-817. https://doi.org/10.1055/a-1015-3123

Henseler, J., Hubona, G. & Ray, P. (2016). Using PLS Path Modeling in New Technology Research: Updated Guidelines. Industrial Management & Data Systems, 116, 2–20. https://doi.org/10.1108/IMDS-09-2015-0382

Howat, G., Murray, D. & Crilley, G. (1999). The relationships between service problems and perceptions of service quality, satisfaction, and behavioral intentions of Australian public sports and leisure center customers. Journal of Park and Recreation Administration, 17, 42–64.

Hwa, C., Ramayah, T., Memon, M., Chuah, F. & Ting, H. (2020). Multigroup Analysis using SmartPLS: Step-by-Step Guidelines for Business Research. Asian Journal of Business Research, 10, 1–19. https://doi.org/10.14707/ajbr.200087

Jalilvand, M. R., Esfahani, S. S. & Samiei, N. (2011). Electronic word-of-mouth: Challenges and opportunities. Procedia Computer Science, 3, 42–46. https://doi.org/10.1016/j.procs.2010.12.008

Klesel, M., Schuberth, F., Henseler, J. & Niehaves, B. (2019). A Test for Multigroup Comparison in Partial Least Squares Path Modeling. Internet Research, 29, 464–477. https://doi.org/10.1108/IntR-11-2017-0418

Kontos, E., Blake, K., Chou, W.-Y. & Prestin, A. (2014). Predictors of eHealth Usage: Insights on The Digital Divide from the Health Information National Trends Survey 2012. Journal of Medical Internet Research, 16, e172. https://doi.org/10.2196/jmir.3117

Kotler, P. (2000). Administracao de Marketing: A edição do novo milênio- Traducao Bazan Tecnologia e Linguistica, revisão técnica Arao Sapiro (10 ed.). Prentice Hall, 764.

Liu, R., Menhas, R., Dai, J., Saqib, Z. A. & Peng, X. (2022). Fitness Apps, Live Streaming Workout Classes, and Virtual Reality Fitness for Physical Activity During the COVID-19 Lockdown: An Empirical Study. Frontiers in public health, 10, 852311. https://doi.org/10.3389/fpubh.2022.852311

Matos, R., Amaro, N., Antunes, R. & Rosa, M. (2021). Portuguese adults’ concerns on the return to indoor sports practice after confinement due to COVID-19 pandemic - mitigation strategies proposals. Cuadernos de Psicologia Del Deporte, 21(2), 227–241. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85107418974&doi=10.6018%2Fcpd.435751&partnerID=40&md5=b17816016710f359aad6d0f8a3b0fb2e

McCarthy, J. (2004). 10 characteristics of high-retention clubs. The Magazine of the International Health, Racquet & Sportclub Association, December, 48–51.

McCully, S. N., Don, B. P. & Updegraff, J. A. (2013). Using the Internet to Help with Diet, Weight, and Physical Activity: Results From the Health Information National Trends Survey (HINTS). Journal of Medicine Internet Research, 15(8), e148. https://doi.org/10.2196/jmir.2612

McDougall, G. & Levesque, T. (2000). Customer Satisfaction with Services: Putting Perceived Value into the Equation. Journal of Services Marketing, 14, 392–410. https://doi.org/10.1108/08876040010340937

Mochizuki, L., Brach, M., Almeida, P. L., Vega, R. D. La, Garzon, M., Greve, J. M. D. & Limon, M. (2022). Editorial: Coronavirus Disease (COVID-19): Psychological and Behavioral Consequences of Confinement on Physical Activity, Sedentarism, and Rehabilitation. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.816368

Muntaner-Mas, A., Sanchez-Azanza, V. A., Ortega, F. B., Vidal-Conti, J., Borràs, P. A., Cantallops, J. & Palou, P. al. (2021). The effects of a physical activity intervention based on a fatness and fitness smartphone app for University students. Health Informatics Journal, 27(1), 1460458220987275. https://doi.org/10.1177/1460458220987275

Murray, D. & Howat, G. (2002). The relationships among service quality, value, satisfaction, and future intention of customers at an Australian sports and leisure centre. Sport Management Review, 5, 25–43.

Nam, M., Song, T., Kim, D., Jang, K., Kim, J., Koo, B., Lee, J. & Chung, M. (2023). Effects of Content Characteristics and Improvement in User Satisfaction on the Reuse of Home Fitness Application. Sustainability, 15(10), 1–13. https://doi.org/10.3390/su15108371

Neeraj, D., Neelika, A., Nikita, D. & Anil, G. (2019). Consumer adoption of smartphone fitness apps: an extended UTAUT2 perspective. Journal of Indian Business Research, 12. https://doi.org/10.1108/JIBR-05-2018-0158

Nikhashemi, S. R., Paim, L., Haque, A., Khatibi, A. & Tarofder, A. K. (2013). Internet Technology, Crm and Customer Loyalty: Customer Retention and Satisfaction Perspective Department of Resource Management and Consumer Studies. Middle East Journal of Scientific Research, 14, 79–92. https://doi.org/10.5829/idosi.mejsr.2013.14.1.1984

World Medical Association (2000). Declaration of Helsinki: ethical principles for medical research involving human subjects. JAMA, 284, 3043-3045.

Oliver, R. (1997). Satisfaction: A behavioral perspective on the consumer. Routledge

Orbell, S., Hodgldns, S. & Sheeran, P. (1997). Implementation Intentions and the Theory of Planned Behavior. Personality and Social Psychology Bulletin, 23, 945. https://doi.org/10.1177/0146167297239004

Patterson, P. G. & Spreng, R. A. (1997). Modelling the relationship between perceived value, satisfaction and repurchase intentions in a business‐to‐business, services context: an empirical examination. International Journal of service Industry management, 8(5), 414-434.

Pedragosa, V. & Cardadeiro, E. (2021). Barómetro do fitness em Portugal 2020. Edições AGAP.

Pedragosa, V. & Ferreira Barbosa, H. (2022). Digital Transformation and Innovation in Portugal Fitness Centres. In García-Fernández, J., Valcarce-Torrente, M., Mohammadi, S. & Gálvez-Ruiz, P. (Ed.), The Digital Transformation of the Fitness Sector: A Global Perspective (pp. 23-29). https://doi.org/10.1108/978-1-80117-860-020221004

Rahmatulloh, M. Z. A. & Melinda, T. (2021). Analysis of the Effect of Service Quality and Customer Satisfaction on the Repurchase Intention, Word of Mouth and Customer Retention for Party Equipment Rental Suyono & quot; in Surabaya. KnE Social Sciences, 5(5 SE-Articles). https://doi.org/10.18502/kss.v5i5.8797

Reichheld, F. (1996). The Loyalty Effect: The Hidden Force Behind Growth, Profits, and Lasting Value. Harvard Business School Press.

Ringle, C., Wende, S. & Becker, J. (2015). SmartPLS 3. SmartPLS GmbH.

Rust, R. T., Zahorik, A. J. & Keiningham, T. L. (1995). Return on Quality (ROQ): Making Service Quality Financially Accountable. Journal of Marketing, 59(2), 58–70. https://doi.org/10.1177/002224299505900205

Santacruz Lozano, J. A., Jiménez Díaz-Benito, V. J. D.-B., Cereijo Tejedor, L., Gonzalo Encabo, P., García, B., Jiménez-Beatty Navarro, J. E. & Clemente Remón, Ángel L. (2022). Impacto de la Covid19 en las barreras percibidas para practicar actividad física en las personas usuarias de centros fitness en España. Cuadernos de Psicología del Deporte, 22(2), 221–235. https://doi.org/10.6018/cpd.493241

Schmidt, T. & Pawlowski, C. S. (2021). Physical Activity in Crisis: The Impact of COVID-19 on Danes’ Physical Activity Behavior. Frontiers in Sports and Active Living, 2. https://doi.org/10.3389/fspor.2020.610255

Shamim, T. M., Raymond, C., Yukun, B. & Babur, H. M. (2019). Acceptance and use predictors of fitness wearable technology and intention to recommend: An empirical study’, Industrial Management & Data Systems. Emerald Publishing Limited, 119(1), pp. 170–188.

Statista (2022, September 22). Health & fitness apps - Worldwide. Statista. https://www.statista.com/outlook/dmo/app/health-fitness/worldwide#key-market-indicators

Tyebkhan, G. (2003). Declaration of Helsinki: The ethical cornerstone of human clinical research. Indian Journal of Dermatology Venereology and Leprology, 69, 245-247.

Vázquez, I. & Coimbra, S. (2024). Resiliencia frente a la Pandemia de COVID-19 en los/as Deportistas Adultos/as Portugueses/as. Cuadernos de Psicología del Deporte, 24(1), 154–168. https://doi.org/10.6018/cpd.548461

Venkatesh, V. & Bala, H. (2008). Technology Acceptance Model 3 and a Research Agenda on Interventions. Decision Sciences - DECISION SCI, 39, 273–315. https://doi.org/10.1111/j.1540-5915.2008.00192.x

Venkatesh, V. & Davis, F. (2000). A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Management Science, 46, 186–204. https://doi.org/10.1287/mnsc.46.2.186.11926

Venkatesh, V., Thong, J. Y. L. & Xu, X. (2012). Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology. MIS Quarterly, 36(1), 157–178. https://doi.org/10.2307/41410412

Publicado
29-04-2024
Cómo citar
Ferreira Barbosa, H., García-Fernandez, J., & Cepeda-Carrión, G. (2024). Intenciones de Comportamiento, Uso de la App del Gimnasio y Satisfacción General de los Miembros: Un Análisis Multigrupo. Cuadernos de Psicología del Deporte, 24(2), 267–284. https://doi.org/10.6018/cpd.548731
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Ciencias del Deporte

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