Factors Influencing University Students’ User Satisfaction and Continuous Intention to Use Short Video Apps for Learning in Beijing, China

Authors

  • Mingming Gao

Keywords:

Product Originality, Satisfaction, Novelty, Continuous Intention to Use, Social Influence

Abstract

Purpose: This article aimed to research the factors influencing University Students’ user satisfaction and continuous intention to Use Short Video App for Learning in Beijing, China. The conceptual framework presented cause-and-effect relationships between product originality, satisfaction, product demonstrability, privacy protection behavior, new product novelty, continuous intention to use, and information social influence. Research design, data, and methodology: The researcher adopted a quantitative technique (n=500) to administer the questionnaire to students in Beijing, China. The researcher employed non-probability sampling methods, including judgmental sampling for selecting three schools, quota sampling to determine the sample size, and convenience sampling for data collection and distribution of questionnaires both online and offline. Data analysis was conducted using structural equation modeling (SEM) and confirmatory factor analysis (CFA) to assess model fit, reliability, and construct validity. Results: The uniqueness of a product has a considerable effect on users’ satisfaction. The ability to demonstrate a product has a notable impact on user satisfaction. Behaviors that protect privacy have a significant influence on user satisfaction. The innovation of new products has a substantial impact on user satisfaction. Satisfaction plays an important role in the intention to continue using. Normative social influence has a significant effect on the intention to continue using. Conclusions: This study suggested that to make BiliBili more effective, policymakers and programmed operators could increase product originality, product demonstrability, privacy protection behavior, new product novelty, and information social influence.

Author Biography

Mingming Gao

Ph.D. Candidate in Information Technology, Vincent Mary School of Science and Technology, Assumption University, Thailand.

References

Abdul Rahim, N. F., Abbasi, G. A., Iranmanesh, M., Christopher, N., & Amran, A. (2023). Determinants of continuous intention to use e-government services: an extension of technology continuance theory. Journal of Systems and Information Technology, 25(3), 245-267. https://doi.org/10.1108/jsit-09-2020-0166

Abrate, G., & Viglia, G. (2019). Personal or product reputation? Optimizing revenues in the sharing economy. Journal of Travel Research, 58(1), 136-148. https://doi.org/10.1177/0047287517741998

Andrews, L., Kiel, G., Drennan, J., Boyle, M. V., & Weerawardena, J. (2007). Gendered perceptions of experiential value in using web‐based retail channels. European Journal of Marketing, 41 (5/6), 640-658. https://doi.org/10.1108/03090560710737660

Bulca, Y., Bilgin, E., Altay, F., & Demirhan, G. (2022). Effects of a Short Video Physical Activity Program on Physical Fitness Among Physical Education Students. Perceptual and motor skills, 129(3), 932-945. https://doi.org/10.1177/00315125221088069

Coopamootoo, K. P. (2020). Title of the paper. Proceedings of the 2020 ACM SIGSAC Conference on Computer and Communications Security, 1371-1390. https://doi.org/10.1145/3372297.3423358

Cuesta-Valino, P., Gutierrez-Rodriguez, P., & Duran-Alamo, P. (2022). Why do people return to video platforms? Millennials and centennials on TikTok. Media and Communication, 10, 198-207.

Elhai, J. D., Levine, J. C., & Hall, B. J. (2017). Anxiety about electronic data hacking: Predictors and relations with digital privacy protection behavior. Internet Research, 27(3), 631-649. https://doi.org/10.1108/intr-03-2016-0070

Erwin, A. K., Tran, K., & Koutstaal, W. (2022). Evaluating the predictive validity of four divergent thinking tasks for the originality of design product ideation. PloS one, 17(3), e0265116. https://doi.org/10.1371/journal.pone.0265116

Fianu, E., Ofori, K. S., Boateng, R., & Ampong, G. O. A. (2019). Title of the paper. In International Working Conference on Transfer and Diffusion of IT (pp. 382-401). Springer. https://doi.org/10.1007/978-3-030-18063-5_29

Foroughi, B., Iranmanesh, M., & Hyun, S. S. (2019). Understanding the determinants of mobile banking continuance usage intention. Journal of Enterprise Information Management, 32(6), 1015-1033. https://doi.org/10.1108/JEIM-06-2018-0125

Fu, J. R., Lu, I. W., Chen, J. H. F., & Farn, C. K. (2020). Investigating consumers’ online social shopping intention: An information processing perspective. International Journal of Information Management, 54, 102200. https://doi.org/10.1016/j.ijinfomgt.2020.102200

Gao, P., Zeng, Y., & Cheng, Y. (2022). The formation mechanism of impulse buying in short video scenarios: Perspectives from presence and customer inspiration. Frontiers in Psychology, 13, 870635. https://doi.org/10.3389/fpsyg.2022.870635

Ghazali, E. M., Mutum, D. S., Pua, M. H.-J., & Ramayah, T. (2020). Status-quo satisfaction and smartwatch adoption: A multi-group analysis. Industrial Management & Data Systems, 120(12), 2319-2347. https://doi.org/10.1108/IMDS-03-2020-0175

Goldenberg, J., Mazursky, D., & Solomon, S. (1999). Creative sparks. Science, 285(5433), 1495-1496. https://doi.org/10.1126/science.285.5433.1495

Grieshaber-Bouyer, R., & Lorenz, H. M. (2020). Biosimilars – Chancen und Risiken [Biosimilars: Opportunities and risks]. Der Internist, 61(5), 522-529. https://doi.org/10.1007/s00108-020-00775-4

Hong, L. L., Ding, Y. F., Zhang, W., & Lin, H. W. (2022). Chemical and biological diversity of new natural products from marine sponges: A review (2009-2018). Marine Life Science & Technology, 4(3), 356-372. https://doi.org/10.1007/s42995-022-00129-3

Hu, L., & Bentler, P. M. (2011). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1-55. https://doi.org/10.1207/S15328007SEM0601_1

Iranmanesh, M., Zailani, S., & Nikbin, D. (2017). RFID continuance usage intention in the healthcare industry. Quality Management in Health Care, 26(2), 116-123.

https://doi.org/10.1097/QMH.0000000000000144

Jia, Q., Xu, X., Zhou, M., Liu, H., & Chang, F. (2022). Exploring the determinants of continuous intention in TikTok from the perspective of social influence: A mixed approach of SEM and fsQCA. Journal of Electronic Business & Digital Economics, 2(1), 45-68. https://doi.org/10.26524/jebde.2022.45

Kelley, K., Clark, B., Brown, V., & Sitzia, J. (2016). Good practice in the conduct and reporting of survey research. International Journal for Quality in Health Care, 18(3), 161-166.

https://doi.org/10.1093/intqhc/mzx042

Kumar, R. R., Israel, D., & Malik, G. (2018). Explaining customer’s continuance intention to use mobile banking apps with an integrative perspective of ECT and self-determination theory. Pacific Asia Journal of the Association for Information Systems, 10(2), 5. https://doi.org/10.17705/1pais.10202

Kumar, R. R., Israel, D., & Malik, G. (2022). Explaining customer’s continuance intention to use mobile banking apps with an integrative perspective of ECT and self-determination theory. Pacific Asia Journal of the Association for Information Systems, 14(2), 5. https://doi.org/10.17705/1pais.14201

Lin, I. T., Shen, Y. M., Shih, M. J., & Ho, C. C. (2023). Short video addiction on the interaction of creative self-efficacy and career interest to innovative design profession students. Healthcare (Basel, Switzerland), 11(4), 579. https://doi.org/10.3390/healthcare11040579

Lv, Y., Wang, Y., & Zhang, J. (2022). The impact of social media influencers on consumer purchase intention: The mediating role of consumer engagement and trust. Frontiers in Psychology, 13, 852236. https://doi.org/10.3389/fpsyg.2022.852236

Ma, S., & Chen, C. (2023). Are digital natives overconfident in their privacy literacy? Discrepancy between self-assessed and actual privacy literacy, and their impacts on privacy protection behavior. Frontiers in Psychology, 14, 1224168. https://doi.org/10.3389/fpsyg.2023.1224168

Maraj-Zygmąt, K., Dziubany, A., & Osińska, K. (2023). The role of social media influencers in promoting sustainable fashion: A comparative study of TikTok and Instagram. Sustainability, 15(2), 1610. https://doi.org/10.3390/su15021610

Meng, K. S., & Leung, L. (2021). Factors influencing TikTok engagement behaviors in China: An examination of gratifications sought, narcissism, and the Big Five personality traits. Telecommunications Policy, 45(7), 102121. https://doi.org/10.1016/j.telpol.2021.102121

Moldovan, S., Goldenberg, J., & Chattopadhyay, A. (2011). The different roles of product originality and usefulness in generating word-of-mouth. Research in Marketing, 28(2), 109-119. https://doi.org/10.1016/j.resmar.2011.03.002

Moore, G. C., & Benbasat, I. (1991). Development of an instrument to measure the perceptions of adopting an information technology innovation. Information Systems Research, 2(3), 192-222. https://doi.org/10.1287/isre.2.3.192

Mosteller, J., & Poddar, A. (2017). To share and protect: Using regulatory focus theory to examine the privacy paradox of consumers’ social media engagement and online privacy protection behaviors. Journal of Interactive Marketing, 39, 27-38. https://doi.org/10.1016/j.intmar.2017.03.002

Mou, X., Xu, F., & Du, J. T. (2021). Examining the factors influencing college students’ continuance intention to use short-form video apps. Aslib Journal of Information Management, 73(6), 992-1013. https://doi.org/10.1108/AJIM-03-2021-0092

Nie, L., Oldenburg, B., Cao, Y., & Ren, W. (2023). Continuous usage intention of mobile health services: Model construction and validation. BMC Health Services Research, 23(1), 442. https://doi.org/10.1186/s12913-023-09170-7

Omar, B., & Dequan, W. (2020). Watch, share or create: The influence of personality traits and user motivation on TikTok mobile video usage. International Association of Online Engineering, 4(4), 121-137. https://doi.org/10.3991/ijoe.v16i04.11878

Pyo, J., Lee, W., Choi, E. Y., Jang, S. G., & Ock, M. (2023). Qualitative research in healthcare: Necessity and characteristics. Journal of Preventive Medicine and Public Health, 56(1), 12-20. https://doi.org/10.3961/jpmph.22.327

Rominger, C., Fink, A., Benedek, M., Weber, B., Perchtold-Stefan, C. M., & Schwerdtfeger, A. R. (2022). The ambulatory battery of creativity: Additional evidence for reliability and validity. Frontiers in Psychology, 13, 964206. https://doi.org/10.3389/fpsyg.2022.964206

Soares, S. S. S., Costa, C. C. P. D., Carvalho, E. C., Queiroz, A. B. A., Peres, P. L. P., & Souza, N. V. D. O. (2022). Teaching Iramuteq for use in qualitative research according to YouTube videos: An exploratory-descriptive study. Revista da Escola de Enfermagem da USP, 56, e20210396.

https://doi.org/10.1590/1980-220X-REEUSP-2021-0396

Song, S. J., Zhao, Y. X. C., Yao, X. L., Ba, Z. C., & Zhu, Q. H. (2021). Short video apps as a health information source: An investigation of affordances, user experience, and users’ intention to continue the use of TikTok. Internet Research, 31, 2120-2142. https://doi.org/10.1108/INTR-05-2021-0274

Szymanski, D. M., & Henard, D. H. (2001). Customer satisfaction: A meta-analysis of the empirical evidence. Academy of Marketing Science, 29, 16-35. https://doi.org/10.1177/0092070301291002

Vachon, J., Zhan, L., & Benali, M. (2021). The impact of social media on the food industry: A systematic review of the literature. International Journal of Hospitality Management, 94, 102841. https://doi.org/10.1016/j.ijhm.2020.102841

Wang, F. Q., & Jiang, J. H. (2021). How does the internet short video business model realize value creation? A comparative case study of Douyin and Kuaishou. Foreign Economics and Management, 43(2), 3-19. https://doi.org/10.16538/j.cnki.fem.2021.02.001

Wang, H., Sun, G., Zheng, K., Li, H., Liu, J., & Bai, Y. (2022). Privacy protection generalization with adversarial fusion. Mathematical Biosciences and Engineering, 19(7), 7314-7336. https://doi.org/10.3934/mbe.2022.1.7314

Winkler, P., Janoušková, M., Kožený, J., Pasz, J., Mladá, K., Weissová, A., Tušková, E., & Evans-Lacko, S. (2017). Short video interventions to reduce mental health stigma: A multi-centre randomised controlled trial in nursing high schools. Social Psychiatry and Psychiatric Epidemiology, 52(12), 1549-1557. https://doi.org/10.1007/s00127-017-1434-4

Wu, G., & Ding, X. (2023). Which type of tourism short video content inspires potential tourists to travel?. Frontiers in Psychology, 14, 1086516. https://doi.org/10.3389/fpsyg.2023.1086516

Xia, Y., Chen, Q., Zeng, L., Guo, Q., Liu, H., Fan, S., & Huang, H. (2021). Factors associated with the patient privacy protection behaviours of nursing interns in China: A cross-sectional study. Nurse Education in Practice, 65, 103479. https://doi.org/10.1016/j.nepr.2021.103479

Xia, Y., Chen, Q., Zeng, L., Guo, Q., Liu, H., Fan, S., & Huang, H. (2022). Factors associated with the patient privacy protection behaviours of nursing interns in China: A cross-sectional study. Nurse Education in Practice, 65, 103479. https://doi.org/10.1016/j.nepr.2022.103479

Xu, J., Lu, L., Xing, K., Shi, H., Chen, R., Yao, Y., Liu, S., Xiao, Z., Peng, X., Luo, S., & Zhong, Y. (2022). Theoretical approach and scale construction of patient privacy protection behavior of doctors in public medical institutions in China: Pilot development study. JMIR Formative Research, 6(12), e39947. https://doi.org/10.2196/39947

Xu, L., Li, P., Hou, X., Yu, H., Tang, T., Liu, T., Xiang, S., Wu, X., & Huang, C. (2021). Middle-aged and elderly users' continuous usage intention of health maintenance-oriented WeChat official accounts: Empirical study based on a hybrid model in China. BMC Medical Informatics and Decision Making, 21(1), 257. https://doi.org/10.1186/s12911-021-01512-x

Yang, X. (2021). Determinants of consumers' continuance intention to use social recommender systems: A self-regulation perspective. Technology in Society, 64. https://doi.org/10.1016/j.techsoc.2021.101506

Ye, J. H., Wu, Y. T., Wu, Y. F., Chen, M. Y., & Ye, J. N. (2022). Effects of short video addiction on the motivation and well-being of Chinese vocational college students. Frontiers in Public Health, 10, 847672. https://doi.org/10.3389/fpubh.2022.847672

Downloads

Published

2025-09-29

How to Cite

Gao, M. (2025). Factors Influencing University Students’ User Satisfaction and Continuous Intention to Use Short Video Apps for Learning in Beijing, China. Scholar: Human Sciences, 17(3), 255-265. Retrieved from https://assumptionjournal.au.edu/index.php/Scholar/article/view/8384