Document Type : Research Paper
Authors
1 Ph.D. Student in Sports Management, South Tehran Branch, Islamic Azad University, Tehran, Iran.
2 Associate Professor of Sports Management, South Tehran Branch, Islamic Azad University, Tehran, Iran.
3 Assistant Professor of Sports Management, South Tehran Branch, Islamic Azad University, Tehran, Iran.
Abstract
The present research was conducted with the aim of analyzing of acceptance and non-acceptance of sports applications by professional athletes using the binary logit model. The current research method was practical. The statistical community of this research was made up of all the users of the Strava application in Iran who were active in both cycling and running; A specific and statistical number of 402 people was selected using J Power software and simple random sampling method. The tool for collecting information in this research was a researcher-made questionnaire. Descriptive and inferential statistical methods were used to analyze the data of this research. Mean and standard deviation were used in descriptive statistics. Also, logistic regression test was used in the inferential statistics section. All data analysis process of this research was done using SPSS software. The results of this research showed that, in general, mental image, credit, necessary infrastructure, value, usage and credibility are 6 important factors in the acceptance and non-acceptance of sports applications by professional athletes. According to the results, it was found that credit and cost had the greatest impact on acceptance and non-acceptance by athletes. According to the results, it can be determined that the credit factor plays the most important role in predicting the acceptance or non-acceptance rate.
Keywords
- 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.
- Baubonytė, S., Deliautaitė, K., Narkevičienė, K. M., & Valantinė, I. (2021). The use of sports apps for engaging in physical activity. Baltic Journal of Sport and Health Sciences, 2(121), 28-33.
- Bitrián, P., Buil, I., & Catalán, S. (2020). Gamification in sport apps: The determinants of users' motivation. European Journal of Management and Business Economics. 29 (3), 365-381.
- Chen, L. F., Chen, S. C., & Su, C. T. (2018). An innovative service quality evaluation and improvement model. The Service Industries Journal, 38(3-4), 228-249.
- De Brentani, U. (2001). Innovative versus incremental new business services: Different keys for achieving success. Journal of Product Innovation Management: An International Publication of the Product Development & Management Association, 18(3), 169-187.
- Garg, S., & Dhar, R. (2017). Employee service innovative behavior: The roles of leader-member exchange (LMX), work engagement, and job autonomy. International Journal of Manpower, 38(2), 242-258.
- Gholabian Moghadam, M. (2017). A review of information technology acceptance models with an emphasis on expectation-confirmation theory. Electronic publication of the Organization of Libraries, Museums and Documents Center of Astan Quds Razavi, 10(38-39), 1-16.
- Hamari, Juho; Koivisto, Jonna; & Sarsa, Harri. (2014). Does gamification work? — A literature review of empirical studies on gamification. Presented at the Proceedings of the Annual Hawaii International Conference on System Sciences, Hawaii.
- Hosseini, E., & Farzan, F. (2018). Investigating the role of social support on women's sports commitment to sports activities. Sports Management, 40(10), 137-148. (In Persian)
- Jospe, M. R., Fairbairn, K. A., Green, P., & Perry, T. L. (2015). Diet app use by sports dietitians: A survey in five countries. JMIR mHealth and uHealth, 3(1), e3345.
- Koivisto, J., & Hamari, J. (2019). Gamification of physical activit : A systematic literature review of comparison studies. In 3rd International GamiFIN Conference, GamiFIN 2019. CEUR-WS. Levi, Finland.
- Lee, S., Kim, S., & Wang, S. (2017). Motivation factors influencing intention of mobile sports apps use by applying the unified theory of acceptance and use of technology (UTAUT). IUPUI Scholar Works Indiana University, 29(2), 115–127.
- Li, M., & Hsu, C. H. (2018). Customer participation in services and employee innovative behavior: The mediating role of interpersonal trust. International Journal of Contemporary Hospitality Management, 30(4), 2112-2131.
- Malik, A., Suresh, S., & Sharma, S. (2017). Factors influencing consumers’ attitude towards adoption and continuous use of mobile applications: A conceptual model. Procedia Computer Science, 122, 106-113.
- Maria Stock, R., Jong, A. D., & Zacharias, N. A. (2017). Frontline employees' innovative service behavior as key to customer loyalty: Insights into FLEs' resource gain spiral. Journal of Product Innovation Management, 34(2), 223-245.
- Nobakht, F., Bakhshesh, R., Moharramzadeh, M., & Naghizadeh, A. (2019). Feasibility of designing and implementing marketing software in sports events in Ardabil city. Scientific Quarterly Journal of Communication Management in Sports Media, 8(2), 95-102. (In Persian)
- O'Cass, A., Song, M., & Yuan, L. (2013). Anatomy of service innovation: Introduction to the special issue. Journal of Business Research, 66(8), 1060-1062.
- Octavia, A., & Fatricia, R. S. (2017). The influence of service marketing mix and service quality on students’ satisfaction in Jambi University, Indonesia. International Journal of Economics, Commerce and Management United Kingdom, (6), 398-414.
- Pedragosa, V., & Correia, A. (2009). Expectations, satisfaction and loyalty in health and fitness clubs. International Journal of Sport Management and Marketing, 5(4), 450-464.
- Qazlesflo, H. (2019). Designing a successful information system model (ISSM) for event management of sports organizations (Case study: Horse racing course of Golestan province). Scientific Quarterly Journal of Communication Management in Sports Media, 8(2), 61-78. (In Persian)
- Rather, R. A. (2019). Consequences of consumer engagement in service marketing: An empirical exploration. Journal of Global Marketing, 32(2), 116-135.
- Rubio, V. J., & Olmedilla, A. (2021). Gamifying app-based low-intensity psychological interventions to prevent sports injuries in young athletes: A review and some guidelines. International Journal of Environmental Research and Public Health, 18(24), 12997.
- Whelan, E., & Clohessy, T. (2020). How the social dimension of fitness apps can enhance and undermine wellbeing: A dual model of passion perspective. Information Technology & People. 34 (1), 68-92.
- Wong, S. S., Richter, J., & Manore, M. (2019). P201 Virtual sport nutrition/physical activity assistant coach mobile app for high school athletes: Prototype co-development. Journal of Nutrition Education and Behavior, 51(7), S123.
- Wu, J., & Du, H. (2012). Toward a better understanding of behavioral intention and system usage constructs. European Journal of Information Systems, 21(6), 680-698.
- Yang, C. C., Tang, K. Y., Sia, W. Y., & Chang, J. H. (2019, July). Exploring the relationship of sports APPs users' motivation, goal orientation and exercise involvement among college students in taiwan. Paper presented at the Proceedings of the 2019 3rd International Conference on Education and Multimedia Technology (pp. 150-155), Chin, Cheng Yang.
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