Influencing Mechanism of Shaoxing High School Parents' Purchase Intention in Selection of Online Courses

Authors

  • Hongwei Tu North Bangkok University
  • Jacky Mong Kwan Watt North Bangkok University

DOI:

https://doi.org/10.61132/ijems.v2i2.696

Keywords:

High School Parents, Purchase Intention, Online Courses

Abstract

The study investigates the influencing mechanisms behind Shaoxing High School parents' purchase intentions regarding online courses for their children's education. It identifies three primary factors: convenience, social influence, and performance expectations. Convenience pertains to the ease of access, flexibility, and user-friendliness of online platforms, significantly enhancing parents' willingness to enroll their children. Social influence highlights the impact of recommendations from peers and community members, reinforcing parents' confidence in their choices. Performance expectations focus on parents' beliefs about the educational outcomes of online courses, emphasizing the importance of perceived effectiveness and quality of instruction. These factors reveal a comprehensive framework that educational providers can leverage to tailor their offerings, thereby improving enrollment rates and student success in online learning environments. The findings underscore providers' need to address these key dimensions to enhance parental engagement and satisfaction in selecting educational programs based on the sample population of 380 high school parents.

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References

Chen, G., Zhou, X., Jing, Y., and Liu, Y. (2021). A Study on Parents’ Willingness to Pay for Online Learning of Middle School Students Based on Perceived Value. Mobile Information Systems. 3, 1-15.

Yu, Q. (2022). Factors influencing online learning satisfaction. Front. Psychol. 13, 852-860

Moustakas, L. and Robrade, D. (2022). The challenges and realities of e-learning during COVID-19: The case of university sport and physical education. Challenges. 13, 9-21.

Mehta, N. P. Morris, B. Swinnerton, and M. Homer. (2019). “The influence of values on E- learning adoption,” Computers & Education, vol. 141, 113-126.

Davis, F. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. 13(3), 319-340

Ibrahim, R., Leng, N. S., Yusoff, R. C. M., Samy, G. N., Masrom, S., and Rizman, Z. I. (2018). E-learning ac-ceptance based on the technology acceptance model (TAM). Journal of Fundamental and Applied Sciences. 30(2), 38-52.

Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Deci-sion Processes. 50 (2), 179-211.

Jiang L., Li Q., ans Wu, X. (2023). The impact of clothing E-store image on intention based on search and pur-chase phases: From the perspective of sustainable marketing. Sustainability, 15(1), 871.

Chen, Y., Ding, D., and Li, X. (2021). Understanding consumers’ purchase intention towards online paid courses. Information Development. 39(3), 150-171.

Wu H.-C., and Li, T. (2017). A study of experiential quality, perceived value, heritage image, experiential sat-isfaction, and behavioral intentions for heritage tourists. Journal of Hospitality & Tourism Research. 41(8), 904–944.

Liu, H., Chu, H., Huang, Q., and Chen, X. (2016). Enhancing the flow experience of consumers in China through interpersonal interaction in social commerce. Computers in Human Behavior. 58, 306–314.

De Melo Pereira, F., Ramos, A. S., de Andrade, A. P., and de Olivera, B, M. (2015). Use Of Virtual Learning Environments: A Theoretical Model Using Decomposed Expectancy Disconfirmation Theory. Journal of Information Systems and Technology Management.12(2), 333-350.

Jing, P. Wang, J. Chen, L. and Zha, Q. (2018). Incorporating the Extended Theory of Planned Behavior in a School Travel Mode Choice Model: A Case Study of Shaoxing, China. Transp. Plan. Technol. 41, 119–137.

Chen, Y.-H., and Keng, C.-J. (2019). Utilizing the Push-Pull-Mooring-Habit Framework to Explore Users’ Intention to Switch from Offline to Online Real-Person English Learning Platform. INTR. 29, 167–193.

Xian, D. A. (2018). MNL Model on Usage Intention and Mode Choice of Primary and Secondary School Trips. Journal of Dalian University of Technology. 33, 198-215.

Yang, M. Shao, Z. Liu, Q., and Liu, C. (2017). Understanding the quality factors that influence the continuance intention of students toward participation in MOOCs. ETR&D-Educ. Tech. Res. 65, 1195–1214.

Dai, H. M., Teo, T., Rappa, N. A., and Huang, F. (2020). Explaining Chinese university students’ continuance learning intention in the MOOC setting: A modified expectation confirmation model per-spective. Comput. Educ. 150, 103-130.

Zhu, Y., Zhang, J. H., Au, W., and Yates, G. (2020). University students’ online learning attitudes and continuous intention to undertake online courses: A self-regulated learning perspective. ETR&D-Educ. Tech. Res. 68, 1–35.

Etikan, I. and Babatope, O. (2019). A Basic Approach in Sampling Methodology and Sample Size Calculation. Medtext Publications. 1, 50-54.

Currás-Pérez, R., Dolz-Dolz, C., Miquel-Romero, M. J., and Sánchez-García, I. (2018). How social, environ-mental, and economic CSR affects consumer-perceived value: Does perceived consumer effectiveness make a difference? Corp. Soc. Responsibility. Environ. Manag. 25, 733–747.

Wang, H. C., and Chiu, Y. F. (2011). Assessing e-learning 2.0 system success. Comput. Educ. 57, 1790–1800.

Dalvi-Esfahani, M., Wai Leong, L., Ibrahim, O., and Nilashi, M. (2020). Explaining students’ continuance intention to use Mobile web 2.0 learning and their perceived learning: An integrated approach. J. Educ. Comput. Res. 57, 1956–2005

Songkram, N. et al. (2023). Students’ adoption of the behavioral intention of the digital learning platform. Educ. Inf. Technol. 28(9), 11655–11677.

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Published

2025-05-15

How to Cite

Hongwei Tu, & Jacky Mong Kwan Watt. (2025). Influencing Mechanism of Shaoxing High School Parents’ Purchase Intention in Selection of Online Courses. International Journal of Economics and Management Sciences, 2(2), 161–169. https://doi.org/10.61132/ijems.v2i2.696