Fitness App Usage Intention: Investigating Consumer Innovativeness and the Technology Acceptance Model

Main Article Content

Sinhae Roh
Kevin K. Byon
Paul M. Pedersen

Abstract

The purpose of this study is to investigate innovative fitness app usage intention by extending the explanatory power of Technology Acceptance Model (TAM) by adding a new variable, consumer innovativeness. This variable, which has been found to be a significant predictor of explaining adoption behavior in technology, was examined to further understand behavior intention in the fitness segment of the sport industry. Consumer innovativeness – along with the original TAM variables of perceived usefulness (PU) and perceived ease of use (PEU) – was examined to determine its influence on fitness app usage intention. The data collected from 356 survey respondents were used to test the proposed hypotheses. SPSS and AMOS were used to check measurement reliability, participants’ demographic characteristics, model fit, and the path coefficient of the proposed model. The findings revealed that consumer innovativeness (and PU) affected innovative fitness app usage intention. PEU was found to have no such effect. The results contribute to TAM research by adding consumer innovativeness as a significant variable in examining fitness apps. Furthermore, the study provides practical contributions to the fitness technology area of the sport industry.

Article Details

How to Cite
Roh, S., Byon, K. K., & Pedersen, P. M. (2023). Fitness App Usage Intention: Investigating Consumer Innovativeness and the Technology Acceptance Model. Journal of Modern Sport Management, 2(2), 1–21. Retrieved from https://so08.tci-thaijo.org/index.php/JournalMSM/article/view/2093
Section
Research Article

References

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. DOI: 10.1080/10447318.2022.2074668

Agarwal, R., & Prasad, J. (1998). A conceptual and operational definition of personal innovativeness in the domain of information technology. Information Systems Research, 9(2), 204-215.

Bae, Y. I., & Shin, H. R. (2020). A study on the consumer acceptance of digital healthcare service using technology acceptance model (TAM): Focusing on healthcare app users. GRI Review, 22(2), 101-127.

Bagozzi, R. P. (2007). The legacy of the technology acceptance model and a proposal for a paradigm shift. Journal of the Association for Information Systems, 8(4), 224-254.

Beldad, A. D., & Hegner, S. M. (2018). Expanding the technology acceptance model with the inclusion of trust, social influence, and health valuation to determine 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.

Byun, H., Chiu, W., & Bae, J. S. (2018). Exploring the adoption of sports brand apps: An application of the modified technology acceptance model. International Journal of Asian Business and Information Management, 9(1), 52-65.

Chiu, W., & Cho, H. (2021). 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, 33(3), 807-825.

Cho, H. T., Chi, C., & Chiu, W. (2020). Understanding sustained usage of health and fitness apps: Incorporating the technology acceptance model with the investment model. Technology in Society, 63. DOI: 10.1016/j.techsoc.2020.101429

Damberg, S. (2022). Predicting future use intention of fitness apps among fitness app users in the United Kingdom: The role of health consciousness. International Journal of Sports Marketing and Sponsorship, 23(2), 369-384.

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340.

Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982-1003.

Dhiman N., Arora, N., Dogra, N., & Gupta, A. (2020). Consumer adoption of smartphone fitness apps: An extended UTAUT2 perspective. Journal of Indian Business Research, 12(3), 1755-4195.

Falardeau, E., Glynn, J., & Ostromecka, O. (2021, June 21). Sweating for the fitness consumer. McKinsey & Company. https://www.mckinsey.com/industries/consumer-packaged-goods/our-insights/sweating-for-the-fitness-consumer

Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of Marketing Research, 18(3), 382-388.

Gefen, D., Straub, D. W. (1997). Gender differences in the perception and use of e-mail: An extension to the technology acceptance model. MIS Quarterly, 21(4), 389-400.

Ha, S., & Stoel, L. (2009). Consumer e-shopping acceptance: Antecedents in a technology acceptance model. Journal of Business Research, 62(5), 565-571.

Herrmann, K. L., & Kim, J. S. (2017). The fitness of apps: A theory-based examination of mobile fitness app usage over 5 months. mHealth, 3(2), 1-9.

Holden, R. J., & Karsh, B. T. (2010). The technology acceptance model: Its past and its future in health care. Journal of Biomedical Informatics, 43(1), 159-172.

Hong, J. C., Lin, P. H., & Hsieh, P. C. (2017) The effect of consumer innovativeness on perceived value and continuance intention to use smartwatch. Computers in Human Behavior, 67, 264-272.

Hur, Y. J., Ko, Y. J., & Claussen, C. L. (2012). Determinants of using sports web portals: An empirical examination of the sport website acceptance model. International Journal of Sports Marketing & Sponsorship, 13(3), 6-25.

Im, S. B., Bayus, B. L., & Mason, C. H. (2003). An empirical study of innate consumer innovativeness, personal characteristics, and new-product adoption behavior, Journal of the Academy of Marketing Science, 31(1), 61-73.

Im, S. B., Mason, C. H., & Bays, B. L. (2007). Does innate consumer innovativeness relate to new product/service adoption behavior? The intervening role of social learning via vicarious innovativeness. Journal of the Academy of Marketing Science, 35(1), 63-75.

Jeon, H. M., Sung, H. J., & Kim, H. Y (2020). Customers’ acceptance intention of self-service technology of restaurant industry: Expanding UTAUT with perceived risk and innovativeness. Service Business, 14(4), 533-551.

Kim T. J., & Chiu, W. Consumer acceptance of sports wearable technology: The role of technology readiness. International Journal of Sports Marketing and Sponsorship, 20(1), 109-126.

Kim, E. J., Kim, J. J., & Han, S. H. (2021). Understanding student acceptance of online learning systems in higher education: Application of social psychology theories with consideration of user innovativeness. Sustainability, 13(2), 896. DOI: 10.3390/su13020896

Kim, J. J., Choe, J. Y., & Hwang, J. (2021). Application of consumer innovativeness to the context of robotic restaurants. International Journal of Contemporary Hospitality Management, 33(1), 224-242.

Kim, S. H., & Garrison, G. (2009). Investigating mobile wireless technology adoption: An extension of the technology acceptance model. Information Systems Frontiers, 11(3), 323-333.

Kim, Y. J., Kim, S. J., & Rogol, E. (2017). The effects of consumer innovativeness on sport team applications acceptance and usage. Journal of Sport Management, 31(3), 241-255.

King, R. (2020, August 17). Most Americans plan to continue at-home workouts even once gym fully reopen. Fortune. https://fortune.com/2020/08/17/covid-workouts-at-home-gyms-reopening-coronavirus-fitness/

Kwon, J. Y., Kim, S. J., & Choi, K. K. (2020). Analysis of user acceptance intention of home training application. The Korea Journal of Sports Science, 30(4), 531-546.

Lam, W. L. (2012). Impact of competitiveness on salespeople’s commitment and performance. Journal of Business Research, 65(9), 1328-1334.

Lassar, W. M., Manolis, C., & Lassar, S. S. (2005). The relationship between consumer innovativeness, personal characteristics, and online banking adoption. International Journal of Bank Marketing, 23(2), 176-199.

Lee, D. Y., & Lehto, M. R. (2013). User acceptance of YouTube for procedural learning: An extension of the technology acceptance model. Computers & Education, 61, 193-208.

Lee, J. M. (2021). A study on home training market prospect and development plan using big data analysis. The Korean Journal of Physical Education, 60(1), 189-202.

Lee, J. W., & Park, S. S. (2022). Effect of home training using the app on metabolic syndrome risk factors and atherogenic index in obese middle-aged women. Journal of The Korea Society of Computer and Information, 27(4), 193-203.

Lee, N. K., & Chung, Y. N. (2022). Analysis of consumption value in the home training for single-person households. The Korean Journal of Sport, 20(1), 191-190.

Lu, J., Yao, J. E., & Yu, C. S. (2005). Personal innovativeness, social influences and adoption of wireless internet services via mobile technology. Journal of Strategic Information Systems, 14(3), 245-268.

Lunney, A., Cunningham, N. R., & Eastin, M. S. (2016). Wearable fitness technology: A structural investigation into acceptance and perceived fitness outcomes. Computers in Human Behaviors, 65, 114-120.

McManus, M. (2022, January 12). Online fitness training or in-person workouts: Which is better? CNN health. https://www.cnn.com/2022/01/12/health/online-fitness-training-in-person-workouts-wellness/index.html

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.

Park, S. Y. (2009). An analysis of the technology acceptance model in understanding university students’ behavioral intention to use e-learning. Educational Technology & Society, 12(3), 150-162.

Rogers, E. M., & Shoemaker, F. F. (1971). Communication of innovations: A cross-cultural approach (2nd ed.). Free Press.

Roh, S. H., & Kim, M. S. (2020). Theoretical paradigm of home training experience in the 4th industrial revolution: Focused on theory acceptance model (TAM). Korean Society of Sport and Leisure Studies, 81, 93-108.

Salloum, S. A., Alhamad, A. Q. M., Al-Emran, M., Monem, A. A., & Shaalan, K. (2019). Exploring students’ acceptance of e-learning through the development of a comprehensive technology acceptance model. IEEE Access, 7, 128445-128462.

Suh, A., & Li, M. (2022). How the use of mobile fitness technology influences older adults’ physical and psychological well-being. Computers in Human Behavior, 131, 107205. DOI: 10.1016/j.chb.2022.107205

SWNS. (2020, July 16). Most Americans believe gyms will become thing of the past after coronavirus. New York Post. https://nypost.com/2020/07/16/survey-says-the-at-home-workout-is-here-to-stay-even-if-covid-19-disappears/

Venkatesh, V. (2015). Technology acceptance model and the unified theory of acceptance and use of technology. Wiley encyclopedia of management, 1-9. DOI: 10.1002/9781118785317.weom070047

Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186-204.

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.

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. DOI: 10.3390/ijerph17207639

Williams, M. D., Rana, N. P., & Dwivedi, Y. K (2014). The unified theory of acceptance and use of technology (UTAUT): A literature review. Journal of Enterprise Information, 28(3), 443-488.

Won, D. Y., Chiu, W., & Byun, H. (2022). Factors influencing consumer use of a sport-branded app: The technology acceptance model integrating app quality and perceived enjoyment. Asia Pacific Journal of Marketing and Logistics, Advance online publication. DOI: 10.1108/APJML-09-2021-0709

Xu, H., & Gupta, S. (2009). The effects of privacy concerns and personal innovativeness on potential and experienced consumers’ adoption of location-based services. Electron Markets, 19(2), 139-149.

Yuan, S., Ma, W., Kanthawala, S., & Peng, W. (2015). Keep using my health apps: Discover users’ perception of health and fitness apps with the UTAUT2 model. Telemedicine and E-health, 21(9), 735-741.