Document Type : Research Paper

Authors

1 PhD Student of Sport Management, Shahid Chamran University of Ahvaz

2 Professor of Sport Management Department, Shahid Chamran Unuversity of Ahvaz

3 Department of sport management, sport sciences faculty, Shahid chamran university of Ahvaz, Ahvaz, Khuzestan, Iran.

4 Assistant Professor School of Management and Medical Information Sciences, Isfahan University of Medical Sciences

Abstract

The ever-increasing expansion of smartphones has developed the number of sports users who use these types of phones to perform sports activities. The present study was conducted with the aim of designing a behavioral model of accepting and using fitness apps in Iranian users based on a compound approach. The data of the qualitative section was collected through in-depth and semi-structured interviews with programmers and designers of sports programs and academic experts in the field of sports and computers and was categorized into 6 main themes and 21 sub-themes through the theme analysis approach. In the quantitative section, a questionnaire containing 28 items was prepared based on the findings of the qualitative section. The analysis of the responses of 170 users of fitness apps showed that the quality of the app, digital literacy, facilitating conditions, willingness to use the app and trust in the app have an effect on the acceptance and use of these apps. The results of the quantitative section showed that factors such as gender, age and experience of using technology can indirectly affect the willingness to use and the trust and acceptance of users. Therefore, if these things are managed properly, they can strengthen the behavior of users in accepting and using fitness apps. Finally, the behavioral model designed in this research was suitable for Iranian users of fitness apps. The results of this research can be considered as a comprehensive approach to understand the behavior of users in accepting and using fitness apps in Iran.

Keywords

Main Subjects

  • Abdat, F. A. (2020). Using UTAUT model to predict social media adoption among Indonesian SMEs. Saudi Journal of Economics and Finance, 4(10), 498-505
  • Alasmari, T,. Zhang, K. Mobile learning technology acceptance in Saudi Arabian higher education: an extended framework and A mixed-method study. Education and Information Technologies. 2019 May;24(3):2127-44. https://doi.org/10.1007/s10639-019-09865-8
  • Alghazi, S,. Kamsin, A,. Almaiah, MA,. Wong, S,. Shuib, L. For sustainable application of mobile learning: An extended UTAUT model to examine the effect of technical factors on the usage of mobile devices as a learning tool. Sustainability. 2021 Jan;13(4):1856. https://doi.org/10.3390/su13041856
  • Alizadeh Ghayasabadi, R, and Miladian, H. (2019). Examining the factors affecting the use of banking with the integrated approach of the integrated theory. Rehiyafti magazine in business management, autumn 2019, number 3, pages 99 to 113[persian]
  • Alizadeh Jamal, M and Kayhan, J (2021). Evaluation of the integrated model of acceptance and use of information technology to predict the extent of teachers' use of computer technology in the classroom. Education Technology, 16(1), 147-156. [persian].
  • Almaiah, M. A., Alamri, M. M., & Al-Rahmi, W. (2019). Applying the UTAUT model to explain the students’ acceptance of mobile learning system in higher education. IEEE Access, 7, 174673-174686.‏
  • Angosto, S., García-Fernández, J., Valantine, I., & Grimaldi-Puyana, M. (2020). The intention to use fitness and physical activity apps: a systematic review. Sustainability, 12(16), 6641.
  • Bearne, L. M., Sekhon, M., Grainger, R., La, A., Shamali, M., Amirova, A., ... & White, C. M. (2020). Smartphone apps targeting physical activity in people with rheumatoid arthritis: systematic quality appraisal and content analysis. JMIR mHealth and uHealth, 8(7), e18495.
  • 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 (IJABIM), 9(1), 52-65
  • Dehghan Ghahfarokhi A, Vosadi E, Barzegar H, Saatchian V. The Effect of Wearable and Smartphone Applications on Physical Activity, Quality of Life, and Cardiovascular Health Outcomes in Overweight/Obese Adults: A Systematic Review and Meta-analysis of Randomized Controlled Trials. Biological Research For Nursing. 2022;24(4):503-518. doi:10.1177/10998004221099556
  • Delavarpour Mohammad Agha, Aram Dehne Ahmad, Nik Menesh Sara. (2021). Smartphone addiction and its role in the mental health of adolescent users. New Media Studies, 7(28). [persian]
  • Godarzi, M., & Shujaei, A., (2021). Presenting the social responsibility development model of elite female athletes in cyber space with emphasis on Instagram. Scientific-Research Quarterly of Organizational Behavior Management Studies in Sports, 8(1), 67-86.[persian]
  • Jiang, Q., Li, Y., & Shypenka, V. (2018). Loneliness, individualism, and smartphone addiction among international students in China. Cyberpsychology, Behavior, and Social Networking, 21(11), 711-718.
  • Kijsanayotin, B,. Pannarunothai, S,. Speedie. S,. Factors influencing health information technology adoption in Thailand's community health centers: Applying the UTAUT model. International journal of medical informatics. 2009 Jun 1;78(6):404-16. DOI:10.1016/j.ijmedinf.2008.12.00
  • Mahavarpur, N., Sajjadian, F,. true lineage. Manijeh (2017) extracting the rules governing the intention of Iranian users to use mobile tourism software by using individual factors based on Raf's group theory. Tourism and development scientific research quarterly. Year 7, Number 4, Winter 97. Page 83-99. [persian]
  • Modabernia, Y,. Vazifedoost, H and Abdulvand, M A (2019). Presenting the behavioral model of customers in the level of acceptance and use of electronic banking services with the development and analysis of theory (UTAUT). Journal of Development and Transformation Management 43(139)1-18[persian]
  • Mohammadi, S,. Fathi, F (2019) The decision of physical education teachers to use technology in education: the application of the theory of planned behavior model, research teaching, winter 2019 - scientific-research number 22 (Ministry of Science)/ISC pp. 193 to 210) [persian]
  • Mohammadian, Sh,. Qasimzadeh, A,. Rafiei, M,. (2019) Causal model of acceptance and use of information and communication technology by students of Tabriz University of Medical Sciences in educational and research purposes based on the UTAUT model, Journal of Information Processing and Management, Volume 36, Number 2, pp. 418-391, Winter 2019. [persian]
  • Murphy, J., Uttamlal, T., Schmidtke, K. A., Vlaev, I., Taylor, D., Ahmad, M., ... & Blakemore, A. I. (2020). Tracking physical activity using smart phone apps: assessing the ability of a current app and systematically collecting patient recommendations for future development. BMC medical informatics and decision making, 20(1), 1-11
  • Norville, G. A. (2020). Smartphone Addiction, Use Purpose, and the Wandering Mind. Wayne State University.
  • Qazi Saidi, M,. Rostam Niakan Kalhari, Sh,. Yasini, M, and Nouri, R (2016). Mobile health applications: an analysis of scientific validity of sources. Health Information Management, 14th Volume, 1st Issue, April and May 2016. [persian]
  • Romeo, A., Edney, S., Plotnikoff, R., Curtis, R., Ryan, J., Sanders, I., ... & Maher, C. (2019). Can smartphone apps increase physical activity? Systematic review and meta-analysis. Journal of medical Internet research, 21(3), e12053
  • Safaei, S (2021) The effect of online convenience on the intention to accept mobile banking by considering the mediating role of perceived hedonistic and beneficial values and the moderating role of perceived security concern (case study: Saderat Bank of North Khorasan). Progress and Excellence Research, Spring 2021 - Number 5 (pp. 78-88). [persian]
  • Salehi Mubarke, N,. Alam, Sh, Shatabbusheri, N and Zarghami. (2019). The effect of individual motivations on the adoption of smartphones to access sports services. Strategic studies of sport and youth, 48(19), 175-196.[persian]
  • Shah, S., Gvozdanovic, A., Knight, M., & Gagnon, J. (2021). Mobile App–Based Remote Patient Monitoring in Acute Medical Conditions: Prospective Feasibility Study Exploring Digital Health Solutions on Clinical Workload During the COVID Crisis. JMIR formative research, 5(1), e23190.
  • Sohaili, B., Babaei, M., Khodayari, A. (2021). Collaborative Governance of Corona Virus Crisis Management in Small and Medium Sports Businesses. Organizational behavior management studies in sports, 7(4), 11-27 .[persian]
  • Tao, K., & Edmunds, P. (2018). Mobile APPs and global markets. Theoretical Economics Letters, 8(08), 1510
  • 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), pp 425-478.