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Research Articles

The Mediating Role of e-Lifestyles to Use the Fitness Center App

ORCID Icon, ORCID Icon & ORCID Icon
Pages 3972-3981 | Received 19 Nov 2022, Accepted 13 Apr 2023, Published online: 27 Apr 2023

References

  • Abedini Koshksaray, A., Franklin, D., & Heidarzadeh Hanzaee, K. (2015). The relationship between E-lifestyle and internet advertising avoidance. Australasian Marketing Journal, 23(1), 38–48. https://doi.org/10.1016/j.ausmj.2015.01.002
  • Acikgoz, F., Filieri, R., & Yan, M. (2022). Psychological predictors of intention to use fitness apps: The role of subjective knowledge and innovativeness. International Journal of Human–Computer Interaction, 1–13. https://doi.org/10.1080/10447318.2022.2074668
  • Angosto, S., García, J., Valantine, I., & Grimaldi-Puyana, M. (2020). The intention to use fitness and physical activity apps: A systematic review. Sustainability, 12(16), 6641. https://doi.org/10.3390/su12166641
  • Baretta, D., Bondaronek, P., Direito, A., & Steca, P. (2019). Implementation of the goal-setting components in popular physical activity apps: Review and content analysis. Digital Health, 5. https://doi.org/10.1177/2055207619862706
  • Baron, R. M., & Kenny, D. A. (1986). The moderator-mediator variable distinction in social psychological research: Conceptual, strategic and statistical considerations. Journal of Personality and Social Psychology, 51(6), 1173–1182. https://doi.org/10.1037//0022-3514.51.6.1173
  • Beldad, A. D., & Hegner, S. M. (2018). Expanding the technology acceptance model with the inclusion of trust, social influence, and health valuation to determine the predictors of German users’ willingness to continue using a fitness app: A structural equation modeling approach. International Journal of Human–Computer Interaction, 34(9), 882–893. https://doi.org/10.1080/10447318.2017.1403220
  • 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. https://doi.org/10.1080/16184740600954148
  • 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
  • Cai, J., Zhao, Y., & Sun, J. (2022). Factors influencing fitness app users’ behavior in China. International Journal of Human–Computer Interaction, 38(1), 53–63. https://doi.org/10.1080/10447318.2021.1921483
  • Cepeda, G., Nitzl, C., & Roldan, J. L. (2017). Mediation analyses in partial least squares structural equation modeling: Guidelines and empirical examples. In H. Latan & R. Noonan (Eds.), Partial least squares path modeling. Springer. https://doi.org/10.1007/978-3-319-64069-3_8
  • Chen, T. Y., & He, Q. Y. (2006). Applying decision tree techniques to segmentation bases for e-marketing. Management Science Research, 3(1), 1–25.
  • Chiu, W., & Cho, H. (2020). The role of technology readiness in individuals’ intention to use health and fitness applications: A comparison between users and non-users. Asia Pacific Journal of Marketing and Logistics, 33(3), 807–825. https://doi.org/10.1108/APJML-09-2019-0534
  • Chu, S.-C., & Kim, Y. (2011). Determinants of consumer engagement in electronic word-of-mouth (eWOM) in social networking sites. International Journal of Advertising, 30(1), 47–75. https://doi.org/10.2501/IJA-30-1-047-075
  • Conroy, D. E., Yang, C.-H., & Maher, J. P. (2014). Behavior change techniques in top-ranked mobile apps for physical activity. American Journal of Preventive Medicine, 46(6), 649–652. https://doi.org/10.1016/j.amepre.2014.01.010
  • Cronin, J. J., Brady, M. K., & Hult, G. T. M. (2000). Assessing the effects of quality, value, and customer satisfaction on consumer behavioural intentions in service environments. Journal of Retailing, 76(2), 193–218. https://doi.org/10.1016/S0022-4359(00)00028-2
  • 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
  • Dean, A. G., Sullivan, K. M., Soe, M. M. (2013). Tamanho da amostra para uma proporção ou um estudo descritivo. OpenEpi: Open Source Epidemiologic Statistics for Public Health. https://www.openepi.com/SampleSize/SSPropor.htm
  • Elsotouhy, M. M., Ghonim, M. A., Alasker, T. H., & Khashan, M. A. (2022). Investigating health and fitness app users’ stickiness, WOM, and continuance intention using S-O-R model: The moderating role of health consciousness. International Journal of Human–Computer Interaction, 1–16. https://doi.org/10.1080/10447318.2022.2135813
  • Eskiler, E., & Altunışık, R. (2021). The moderating effect of involvement in the relationship between customer behavioral intentions and its antecedents. SAGE Open, 11(2), 215824402110144. https://doi.org/10.1177/21582440211014495
  • Evrard, Y. (1993). La satisfaction des consommateurs: état des recherches. Revue Française du marketing, (144/145), 53–65.
  • Feld, J. (2018, January 8). 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/
  • Ferrand, A., Robinson, L., & Valette-Florence, P. (2010). The intention-to-repurchase paradox: A case of the health and fitness industry. Journal of Sport Management, 24(1), 83–105. https://doi.org/10.1123/jsm.24.1.83
  • Ferreira Barbosa, H., García-Fernández, J., Pedragosa, V., & Cepeda-Carrion, G. (2022). 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., & 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.
  • Ferreira-Barbosa, H., Loureiro, V., García-Fernández, J., & Cepeda-Carrión, G. (2022). E-Lifestyle of gym members in Portugal. In V. Loureiro, B. Sabino, P. Bento, H. Barbosa, M. Gomes, P. Paixão, L. Murta, & N. Loureiro (Eds.), Atividade Física e Desporto: Experiências, Desafios e Perspetiva (pp. 2–5). Escola Superior de Educação - Instituto Politécnico de Beja.
  • Fitrianie, S., Horsch, C., Beun, R. J., Griffioen-Both, F., & Brinkman, W.-P. (2021). Factors affecting user’s behavioral intention and use of a mobile-phone-delivered cognitive behavioral therapy for insomnia: A small-scale UTAUT analysis. Journal of Medical Systems, 45(12), 110. https://doi.org/10.1007/s10916-021-01785-w
  • Fornell, C. (1992). A national customer satisfaction barometer: The Swedish experience. Journal of Marketing, 56(1), 6–21. https://doi.org/10.2307/1252129
  • Foroughi, B., Iranmanesh, M., Gholipour, H. F., & Hyun, S. S. (2019). Examining relationships among process quality, outcome quality, delight, satisfaction and behavioural intentions in fitness centres in Malaysia. International Journal of Sports Marketing and Sponsorship, 20(3), 374–389. https://doi.org/10.1108/IJSMS-08-2018-0078
  • García, J., Gálvez-Ruiz, P., Grimaldi-Puyana, M., Angosto, S., Fernandez, J., & Bohorquez, R. (2020). The promotion of physical activity from digital services: Influence of e-lifestyles on intention to use fitness apps. International Journal of Environmental Research and Public Health, 17(18), 6839. https://doi.org/10.3390/ijerph17186839
  • García-Fernández, J., Gálvez-Ruiz, P., Fernandez, J., Velez Colon, L., Pitts, B., & Bernal, A. (2018). The effects of service convenience and perceived quality on perceived value, satisfaction and loyalty in low-cost fitness centers. Sport Management Review, 21(3), 250–262. https://doi.org/10.1016/j.smr.2017.07.003
  • García-Fernández, J., Gálvez-Ruiz, P., Sánchez-Oliver, A. J., Fernández-Gavira, J., Pitts, B. G., & Grimaldi-Puyana, M. (2020). An analysis of new social fitness activities: Loyalty in female and male CrossFit users. Sport in Society, 23(2), 204–221. https://doi.org/10.1080/17430437.2019.1625332
  • Goodyear, V. A., Kerner, C., & Quennerstedt, M. (2019). Young people’s uses of wearable healthy lifestyle technologies; surveillance, self-surveillance and resistance. Sport, Education and Society, 24(3), 212–225. https://doi.org/10.1080/13573322.2017.1375907
  • Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). SAGE Publications.
  • Hassan, S. H., Ramayah, T., Mohamed, O., & Maghsoudi, A. (2015a). E-lifestyle conceptualization: Measurement model validation using variance based Structural Equation Modeling (SEM-PLS). Modern Applied Science, 9(2), 307–319. https://doi.org/10.5539/mas.v9n2p319
  • Hassan, S. H., Ramayah, T., Mohamed, O., & Maghsoudi, A. (2015b). E-lifestyle, customer satisfaction, and loyalty among the generation Y mobile users. Asian Social Science, 11(4), 157–168. https://doi.org/10.5539/ass.v11n4p157
  • Hassan, S., Yee, L., & Ramayah, T. (2016). Consumer e-lifestyle, perceived corporate identity, customer satisfaction and loyalty among young mobile service subscribers: A cross-cultural examination of Indonesia-Malaysia-Thailand growth triangle (IMT-GT). International Journal of Management and Applied Science (IJMAS), 2(7), 102–107. http://iraj.doionline.org/dx/IJMAS-IRAJ-DOIONLINE-5094
  • Havighurst, R. J., & Feigenbaum, K. (1959). Leisure and life-style. American Journal of Sociology, 64(4), 396–404. https://doi.org/10.1086/222500
  • Hayes, A. F., & Scharkow, M. (2013). The relative trustworthiness of inferential tests of the indirect effect in statistical mediation analysis: Does method really matter? Psychological Science, 24(10), 1918–1927. https://doi.org/10.1177/0956797613480187
  • Higgins, J. P. (2016). Smartphone applications for patients’ health and fitness. The American Journal of Medicine, 129(1), 11–19. https://doi.org/10.1016/j.amjmed.2015.05.038
  • Howat, G., Murray, D., & Crilley, G. (1999). The relationships between service problems and perceptions of service quality, satisfaction, and behavioural intentions of Australian public sports and leisure center customers. Journal of Park and Recreation Administration, 17(2), 42–64.
  • 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
  • Kim, K. H., Park, J. Y., Kim, D. Y., Moon, H., & Chun, H. C. (2002). E-Lifestyle and motives to use online games. Irish Marketing Review, 15(2), 71–77.https://www.proquest.com/scholarly-journals/e-lifestyle-motives-use-online-games/docview/204576039/se-2
  • King, J. (2018, September 8). With apps, gyms-and members-move beyond brick-and-mortar. IHRSA. https://www.ihrsa.org/improve-your-club/with-apps-gymsand-members-move-beyond-brick-and-mortar/.
  • Kotler, P., & Keller, K. (2012). Marketing management. Prentice Hall.
  • Lee, H.-J., Lim, H., Jolly, L. D., & Lee, J. (2009). Consumer lifestyles and adoption of high-technology products: A case of South Korea. Journal of International Consumer Marketing, 21(2), 153–167. https://doi.org/10.1080/08961530802153854
  • 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
  • Lupton, D. (2020). ‘Better understanding about what’s going on’: Young Australians’ use of digital technologies for health and fitness. Sport, Education and Society, 25(1), 1–13. https://doi.org/10.1080/13573322.2018.1555661
  • Molina, M. D., & Myrick, J. G. (2021). The ‘how’ and ‘why’ of fitness app use: Investigating user motivations to gain insights into the nexus of technology and fitness. Sport in Society, 24(7), 1233–1248. https://doi.org/10.1080/17430437.2020.1744570
  • Muntaner-Mas, A., Sanchez-Azanza, V. A., Ortega, F. B., Vidal-Conti, J., Borràs, P. A., Cantallops, J., & Palou, P. (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(1), 25–43. https://doi.org/10.1016/S1441-3523(02)70060-0
  • Nitzl, C., Roldan, J. L., & Cepeda, G. (2016). Mediation analysis in partial least squares path modeling: Helping researchers discuss more sophisticated models. Industrial Management & Data Systems, 116(9), 1849–1864. https://doi.org/10.1108/IMDS-07-2015-0302
  • Oliver, R. L. (1980). A cognitive model of the antecedents and consequences of satisfaction decisions. Journal of Marketing Research, 17(4), 460–469. https://doi.org/10.2307/3150499
  • Orbell, S., Hodgkins, S., & Sheeran, P. (1997). Implementation Intentions and the Theory of Planned Behavior. Personality & Social Psychology Bulletin, 23(9), 945–954. https://doi.org/10.1177/0146167297239004
  • Pedragosa, V., & Cardadeiro, E. (2021). Barómetro do Fitness em Portugal 2020. Edições AGAP.
  • Pedragosa, V., Cardadeiro, E., & Santos, A. (2022). Barómetro do Fitness em Portugal 2021. AGAP.
  • Pedragosa, V., & Ferreira Barbosa, H. (2022). Digital transformation and innovation in Portugal fitness centres. In J. García-Fernández, M. Valcarce, S. Mohammadi, & P. Gálvez-Ruiz (Eds.), The digital transformation of the fitness sector: A global perspective. Emerald Publishing.
  • Pizzo, A., Baker, B., Jones, G., & Funk, D. (2021). Sport experience design: Wearable fitness technology in the health and fitness industry. Journal of Sport Management, 35(2), 130–143. https://doi.org/10.1123/jsm.2020-0150
  • 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), 46–56. https://doi.org/10.18502/kss.v5i5.879
  • Ringle, C., Wende, S., & Becker, J. (2015). SmartPLS 3. SmartPLS GmbH.
  • Rungtusanatham, M., Miller, J. W., & Boyer, K. K. (2014). Theorizing, testing, and concluding for mediation in SCM research: Tutorial and procedural recommendations. Journal of Operations Management, 32(3), 99–113. https://doi.org/10.1016/j.jom.2014.01.002
  • 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
  • Schiffman, L. G., Sherman, E. H., & Long, M. M. (2003). Toward a better understanding of the interplay of personal values and the internet. Psychology and Marketing, 20(2), 169–186. https://doi.org/10.1002/mar.10066
  • Schneiders, C., & Rocha, C. (2022). Technology innovations and consumption of formula 1 as a TV sport product. Sport Marketing Quarterly, 31(3), 186–197. https://doi.org/10.32731/SMQ.313.0922.02
  • Shabir, H., D'Costa, M., Mohiaddin, Z., Moti, Z., Rashid, H., Sadowska, D., Alam, B., & Cox, B. (2022). The barriers and facilitators to the use of lifestyle apps: A systematic review of qualitative studies. European Journal of Investigation in Health, Psychology and Education, 12(2), 144–165. https://doi.org/10.3390/ejihpe12020012
  • Smith, A. C. T., & Westerbeek, H. (2010). ‘From enhancement to engagement’: Reflections on the future of sport consumption. Sport in Society, 13(2), 344–353. https://doi.org/10.1080/17430430903523093
  • Statista. (2021, July 6). Global health and fitness app downloads as of Q2 2020. Statista. https://www.statista.com/statistics/1127248/health-fitness-apps-downloads-worldwide/
  • Statista (2022, September 22). Health & fitness apps - worldwide. Statista. https://www.statista.com/outlook/dmo/app/health-fitness/worldwide#key-market-indicators
  • Suh, Y. I., & Pedersen, P. M. (2010). Participants’ service quality perceptions of fantasy sports websites: The relationship between service quality, customer satisfaction, attitude, and actual usage. Sport Marketing Quarterly, 19(2), 78–87.
  • Sullivan, A. N., & Lachman, M. E. (2016). Behavior change with fitness technology in sedentary adults: A review of the evidence for increasing physical activity. Frontiers in Public Health, 4(1), 289. https://doi.org/10.3389/fpubh.2016.00289
  • Valcarce-Torrente, M., Javaloyes, V., Gallardo, L., García-Fernández, J., & Planas-Anzano, A. (2021). Influence of fitness apps on sports habits, satisfaction, and intentions to stay in fitness center users: An experimental study. International Journal of Environmental Research and Public Health, 18(19), 10393. https://doi.org/10.3390/ijerph181910393
  • Venkatesh, V., & Bala, H. (2008). Technology acceptance model 3 and a research agenda on interventions. Decision Sciences, 39(2), 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(2), 186–204. https://doi.org/10.1287/mnsc.46.2.186.11926
  • Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478. https://doi.org/10.2307/30036540
  • 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
  • Vinnikova, A., Lu, L., Wei, J., Fang, G., & Yan, J. (2020). The use of smartphone fitness applications: The role of self-efficacy and self-regulation. International Journal of Environmental Research and Public Health, 17(20), 7639. https://doi.org/10.3390/ijerph17207639
  • West, D. S., Monroe, C. M., Turner-McGrievy, G., Sundstrom, B., Larsen, C., Magradey, K., Wilcox, S., & Brandt, H. M. (2016). A technology-mediated behavioral weight gain prevention intervention for college students: Controlled, quasi-experimental study. Journal of Medical Internet Research, 18(6), e133. https://doi.org/10.2196/jmir.5474
  • Whitburn, D., Karg, A., & Turner, P. (2020). The effect of digital integrated marketing communications on not-for-profit sport consumption behaviors. Journal of Sport Management, 34(5), 417–434. https://doi.org/10.1123/jsm.2019-0306
  • Wijaya, T., Darmawati, A., & Kuncoro, M. A. (2020). e-Lifestyle confirmatory of consumer generation Z. International Journal of Advanced Computer Science and Applications, 11(10), 27–33. https://doi.org/10.14569/IJACSA.2020.0111004
  • Yeoh, R., Kim, H. K., Kang, H., Lin, Y. A., Ho, A. D., & Ho, K. F. (2022). What determines intentions to use mobile fitness apps? The independent and joint influence of social norms. International Journal of Human–Computer Interaction, 1–10. https://doi.org/10.1080/10447318.2022.2111040
  • Yu, C. (2015). Using E-lifestyle to analyze mobile banking adopters and non-adopters. Journal of Global Information Technology Management, 18(3), 188–213. https://doi.org/10.1080/1097198X.2015.1070619
  • Yu, C. S. (2011). Construction and validation of an e-Lifestyle instrument. Internet Research, 21(3), 214–235. https://doi.org/10.1108/10662241111139282