The Factors Impacting Behavioral Intention Toward Using the Tencent Meeting by Undergraduate Students in Performing Majors from Sichuan University of Media and Communications

Mengjie Li; Changhan Li

doi:10.60027/ijsasr.2024.3533

Authors

Mengjie Li Ph.D. Candidate, graduate school of business and Advanced Technology Management, Assumption University, Thailand. https://orcid.org/0009-0006-8331-2561
Changhan Li Ph.D. Art, Music, Sports and Entertainment Management, Graduate School of Business and Advanced Technology Management, Assumption University, Thailand. https://orcid.org/0000-0002-3706-605X

DOI:

https://doi.org/10.60027/ijsasr.2024.3533

Keywords:

Behavioral Intention;, Tencent Meeting; , Undergraduate Students; , Performing Majors

Abstract

Background and Aims: Online education platforms have surged in popularity and usage, necessitating a deeper understanding of the factors influencing user satisfaction. this study sought to elucidate the factors influencing the behavioral intentions of performing major undergraduates at Sichuan University of Media and Communications, China.

Methodology: This study used a quantitative approach to assess the satisfaction of undergraduate students in performing majors from Sichuan University of Media and Communications with the Tencent Meeting platform. Data was gathered using a structured Likert-scale questionnaire. The instrument's reliability and validity were confirmed through expert reviews and a Cronbach's Alpha-based pilot test. After data collection, statistical analyses, including regression, were employed to interpret the results.

Result: The structured questionnaire highlighted key factors influencing this satisfaction. The data's validity and reliability were further reinforced by expert reviews and a positive Cronbach's Alpha score from the pilot test. Statistical analyses, particularly regression, indicated strong correlations between platform features, such as system quality and service quality, and overall student satisfaction.

Conclusion: The study conclusively demonstrates that the Tencent Meeting online platform is well-received by undergraduate performance students at Sichuan University of Media and Communications. Through rigorous quantitative analysis, key features, especially system and service quality, emerged as pivotal to student satisfaction. These findings underscore the platform's efficacy and provide valuable insights for enhancing online educational experiences in the future.

References

Ajzen, I. (1991). The Theory of Planned Behavior. Organizational Behavior and Human Decision Processes, 50, 179-211.https://doi.org/10.1016/0749-5978(91)90020-T

Akhter, H., Abdul Rahman, A. A., Jafrin, N., Mohammad Saif, A. N., Esha, B. H., & Mostafa, R. (2022). Investigating the barriers that intensify undergraduates’ unwillingness to online learning during COVID-19: A study on public universities in a developing country. Cogent Education, 9(1), 2028342.

Al-Adwan, A. S., Albelbisi, N. A., Hujran, O., Al-Rahmi, W. M., & Alkhalifah, A. (2021). Developing a holistic success model for sustainable e-learning: A structural equation modeling approach. Sustainability, 13(16), 9453.

Albelbisi, N.A., AL-ADWAN, A.S., HABIBI, A. (2021). IMPACT OF QUALITY ANTECEDENTS ON SATISFACTION TOWARD MOOC. Turkish Online Journal of Distance Education-TOJDE. 22 (2), 164-185. DOI: 10.17718/tojde.906843

Baker, D. A., & Crompton, J. L. (2000). Quality, satisfaction, and behavioral intentions. Annals of tourism research, 27(3), 785-804.

Choi, K.S., Cho, W.H., Lee, S., Lee, H., & Kim, C. (2004). The relationships among quality, value, satisfaction, and behavioral intention in health care provider choice: A South Korean study. Journal of Business Research, 57(8), 913-921.

Conner, M., & Norman, P. (2022). Understanding the intention-behavior gap: The role of intention strength. Frontiers in Psychology, 13, 923464.

Davis, F. (1989) Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13, 319-340.

Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention, and behavior: An introduction to theory and research. Reading, MA: Addison-Wesley.

Hair, J. F., Black, W. C., Babin, B. J. et al. (2010). Multivariate Data Analysis (7th ed.). Upper Saddle River, NJ Pearson Prentice Hall.

Hassan, M. A., Egozi, R., & Parker, G. (2006). Experiments on the effect of hydrograph characteristics on vertical grain sorting in gravel-bed rivers. Water Resources Research, 42(9).

Kemp, N., & Grieve, R. (2014). Face-to-face or face-to-screen? Undergraduates' opinions and test performance in classroom vs. online learning. Frontiers in Psychology, 5, 1278.

Kennedy, H. P., Farrell, T., Paden, R., Hill, S., Jolivet, R. R., Cooper, B. A., & Schindler Rising, S. (2011). A randomized clinical trial of group prenatal care in two military settings. Military medicine, 176(10), 1169-1177.

Kim, M. S., & Hunter, J. E. (1993). Relationships among attitudes, behavioral intentions, and behavior: A meta-analysis of past research, part 2. Communication Research, 20(3), 331-364.

Lavrakas, P. J. (2008). Encyclopedia of survey research methods. Sage publications.

Lodhi, M. F. K. (2016). Quality issues in higher education: The role of methodological triangulation in enhancing the quality of a doctoral thesis. Journal of Research in Social Sciences, 4(1), 62.

Lopez-Nicolas, C., Molina-Castillo, F. and Bouwman, H. (2008). An assessment of advanced mobile services acceptance: contributions from TAM and diffusion theory models. Information and Management, 45 (6), 395-364.

Mertens, D. M. (2015). Mixed methods and wicked problems. Journal of mixed methods research, 9(1), 3-6.

Munadi, M., & Saputra, Y. (2022). Student satisfaction in online learning of Islamic higher education in Indonesia during the second wave of the COVID-19 Pandemic. Journal of Education and E-Learning Research.

Pei, L., & Wu, H. (2019). Does online learning work better than offline learning in undergraduate medical education? A systematic review and meta-analysis. Medical education online, 24(1), 1666538.

Qin, R., & Yu, Z. (2023). Extending the UTAUT Model of Tencent Meeting for Online Courses by Including Community of Inquiry and Collaborative Learning Constructs. International Journal of Human–Computer Interaction, 1-19.

Ramos, R.A., Carandang, E.S.P., & Pante, T.O. (2022). Learner Engagement and Satisfaction in the Online Mathematics Course: The Experience of a Private Philippine University. World Journal of Education. 12 (2), 28-35. DOI: https://doi.org/10.5430/wje.v12n2p28

Rattanaburi, K., & Vongurai, R. (2021). Factors influencing actual usage of mobile shopping applications: Generation Y in Thailand. The Journal of Asian Finance, Economics and Business, 8(1), 901-913.

Salkind, N. J. (2017). Tests & measurement for people who (think they) hate tests & measurement. Sage Publications.

Shin, D.H. (2009) Towards an Understanding of the Consumer Acceptance of Mobile Wallet. Computers in Human Behavior, 25, 1343-1354.http://dx.doi.org/10.1016/j.chb.2009.06.001

Warshaw, P. R., & Davis, F. D. (1985). Disentangling behavioral intention and behavioral expectation. Journal of Experimental Social Psychology, 21(3), 213-228.

Wu, D., & Li, Q. (2022). Online Teaching Practice of New Media Art Design Course Based on "Learning Through+Tencent Meeting". Modern Information Technology, 6(6), 190-194.

Xiao, C., & Li, Y. (2020, April). Analysis of the Influence of the Epidemic on Education in China. In 2020 International Conference on Big Data and Informatization Education (ICBDIE) (pp. 143-147). IEEE.