Behavioral Intentions, Gymnasium App Usage and Overall Member Satisfaction: A Multigroup Analysis
Abstract
It is known that gymnasium application (app) usage is associated with members' satisfaction with the brand. However, the difference in app usage considering diverse member characteristics has not been demonstrated. Thus, the aim of this study is to analyze whether the intention to use the gymnasium app, in the actual usage behavior and also in the overall satisfaction of members, varies according to gender, age, academic qualifications, and length of membership in the gymnasium. SmartPLS 3.3.3 software was used for data analysis. The measurement invariance of the composite models was tested using the three-step composite model measurement (MICOM). For the multigroup analysis (MGA), permutation was used and the path coefficients for each group were compared. The results from 1403 members showed that the influence of behavioral intentions on members' usage behavior and overall satisfaction varies according to members' sociodemographic characteristics and length of membership. The results also revealed that the influence of behavioral intentions on both overall member satisfaction and usage behavior is greater in males, younger members, those with lower educational qualifications, and those enrolled for less time in the gymnasium. These findings prove useful for gymnasium managers in helping to define better sport management strategies to achieve member satisfaction. In addition, this finding provides information to the designers of these applications, highlighting the features that users value most when using it.
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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
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