Research on Intentional Behavior of Chinese College Students Using Running Sports Applications (FCR) Based on UTAUT

Siying Huang
Thailand
Keywords: College Students, School Physical Education, Sports Running Mobile Applications, UTAUT2, FCR
Published: Jul 13, 2025

Abstract

Background and Aim: This study addresses the research gap in the mandatory use of campus sports running applications by college students in southern China. It provides reference for the design and configuration of course tools to enhance the Flashing Campus Operation Application (FCR) in the future.


 FCR is a mobile application that college students in Zhejiang Province must use to meet their physical education course requirements. It helps educators monitor students' exercise behavior data. However, the analysis of students' perceived intentions and behaviors towards FCR usage is insufficient. Further research is needed to understand the experiences related to FCR and continuously improve its effectiveness.


Materials and Methods: A model was developed based on UTAUT2 as the core theory and combined with previous research frameworks. An online survey was conducted using Tencent's questionnaire tool, collecting data from 350 first-year to fourth-year undergraduate students from three universities in southern Zhejiang Province, China. Under mandatory situations, they use flashing campus applications to complete school sports running courses. Descriptive statistics and structural equation modeling are used for hypothesis testing in data analysis.


Results: (1) Perceived ease of use (PEOU) and performance expectations (PE) have no significant positive impact on behavioral intention. The facilitating conditions (FC) have no significant positive effect on continuous use behavior (CUB). (2) Perceived usefulness (PU), perceived enjoyment (PJ), and autonomous motivation (AM) have a significant positive impact on behavioral intention (BI) and continuous use behavior (CUB). (3) In addition, the perceived ease of use and performance expectations of using FCR in a mandatory situation did not have a significant mediating effect on continuous use behavior through behavioral intention. Perceived usefulness, perceived enjoyment, and autonomous motivation have a significant mediating effect on continuous use behavior through behavioral intention.


Conclusion: The research results support hypotheses Ha2, Ha3, Ha5, and Ha7, while hypotheses Ha1, Ha4, and Ha6 are not supported. The research results can be summarized into three aspects: (1) Perceived usefulness, perceived, and autonomous motivation are important factors affecting students' intention to use FCR behavior; It has indirectly had a significant impact on sustained usage behavior. (2) Perceived usability and performance expectations have no significant impact on students' behavioral intentions, and they cannot indirectly affect continuous usage behavior. This indicates that in mandatory situations, perceived ease of use and performance expectations may not be the main factors significantly influencing behavioral intentions. (3) Facilitating conditions are not an important factor affecting sustained usage behavior. This indicates that in a specific context, organizational support and resource availability are not the primary factors influencing sustained usage behavior, or their impact may be overshadowed by other factors.

Article Details

How to Cite

Huang, S. (2025). Research on Intentional Behavior of Chinese College Students Using Running Sports Applications (FCR) Based on UTAUT. International Journal of Sociologies and Anthropologies Science Reviews, 5(4), 619–630. https://doi.org/10.60027/ijsasr.2025.6582

Section

Articles

References

Bai, B., & Guo, Z. (2022). Understanding users’ continuance usage behavior towards digital health information system driven by the digital revolution under the COVID-19 context: An extended UTAUT model. Psychology Research and Behavior Management, 15, 2831–2842. https://doi.org/10.2147/PRBM.S364275

Ben, H., Wang, L., Ma, Z., & Yang, J. (2022). Design of college physical education curriculum based on mobile app development platform. Wireless Communications and Mobile Computing, 2022(1), 1–10. https://doi.org/10.1155/2022/9746549

Chaloupský, D., Hrušová, D., Chaloupská, P. (2019). Use of Fitness Trackers in Fitness Running Classes to Enhance Students’ Motivation. In: Cheung, S., Lee, LK., Simonova, I., Kozel, T., Kwok, LF. (eds) Blended Learning: Educational Innovation for Personalized Learning. ICBL 2019. Lecture Notes in Computer Science, 11546. Springer, Cham. https://doi.org/10.1007/978-3-030-21562-0_25

Chao, C. M. (2019). Factors determining the behavioral intention to use mobile learning: An application and extension of the UTAUT model. Frontiers in Psychology, 10, 1652. https://doi.org/10.3389/fpsyg.2019.01652

China Youth News, & Dingxiang Doctor. (2020, January 3). 2020 Chinese college student health survey report. China Youth News. https://baijiahao.baidu.com/s?id=1654710366924982394&wfr=spider&for=pc

Davis, F. D. (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.

Dunn E. W., Aknin L. B., Norton M. I. (2014). Prosocial spending and happiness: Using money to benefit others pays off. Current Directions in Psychological Science, 23(1), 41–47. https://doi.org/10.1177/0963721413512503

Gowin, M., Marshall, C., Shannon, G., & Taylor, F. W. (2015). Health and Fitness App Use in College Students: A Qualitative Study. American Journal of Health Education, 46(4), 223–230.https://doi.org/10.1080/19325037.2015.1044140

Guo, J. (2022). Influencing factors of college students’ use of sports apps in mandatory situations: Based on UTAUT and SDT. BioMed Research International, 2022, Article ID 9378860. https://doi.org/10.1155/2022/9378860

Hoque, R., & Sorwar, G. (2017). Understanding factors influencing the adoption of mHealth by the elderly: An extension of the UTAUT model. International Journal of Medical Informatics, 101, 75-84, https://doi.org/10.1016/j.ijmedinf.2017.02.002.

Liu, L., & Luo, Y. (2023). A study on the promotion and health concept of short videos on exercise and fitness among college students on Douyin App. Communications in Humanities Research, 7(1), 284–293. https://doi.org/10.54254/2753-7064/7/20230903

Meng, L., & Li, J. (2021). Analysis of the effectiveness and study on the long-term mechanism of the sports world campus app in monitoring extracurricular physical exercise of college students. Mobile Information Systems. https://doi.org/10.1155/2021/7985522.

Sireci, S. G. (1998). Gathering and analyzing content validity data. Educational Assessment, 5(4), 299–321. https://doi.org/10.1207/s15326977ea0504_2

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/10.1057/jit.2013.31

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), 157–190. 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

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. https://doi.org/10.1089/tmj.2014.0148