FACTORS AFFECTING THE WILLINGNESS OF CHINESE USERS TO CONTINUE USING ONLINE EDUCATION PLATFORMS IN YUNNAN
Keywords:
continuous use intention, China, online education platform, perceived value, use experienceAbstract
This research examines the main factors such as platform system quality, course quality, and user interaction influencing users' continuous use intention on the online education platform from the user experience and perceived value perspective. Data was collected through the convenience approach via online survey questionnaires from 422 Yunnan respondents who had a prior online learning experience, including both elementary and higher education level courses, within the past year on an online education platform in China. Yunnan is located at the border of southwest China, where education is costly and inefficient. Data are tested against the research model by using structural equation modeling. The results indicate that user-perceived value will significantly impact users' willingness to continue using online education platforms. Furthermore, users' functional experience and emotional experience have a positive impact on perceived profit, while they have a negative effect on perceived loss. In addition, the quality of the platform system affects users' functional experience and emotional experiences. Besides, course quality, including timeliness, pertinence, authority, and
1 Ed.D., Chinese Teacher, Stamford International University, Thailand. qingfang.zhang@stamford.edu
2 Ph.D., Assistant Professor, Graduate School of Education, Stamford International University, Thailand. yan.ye@stamford.edu
3 Ed.D., Chinese Associate Professor, Stamford International University, Thailand. 1689034@qq.com
4 MBA., Stamford International University, Thailand. hui.ma@stamford.edu
5 M.Ed., Stamford International University, Thailand. zhenglina@yuhuachina.com
6 M.Ed., Stamford International University, Thailand. renyandan@sina.com
7 Ph.D., Lecturer, Stamford International University, Thailand. 316346676@qq.com
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richness, positively affects users' functional experience and emotional experiences. And Interactions between students and teachers were also found in the study that has a positive influence on users' functional experience and emotional experiences.
References
Agarwal, R., & Karahanna, E. (2000). Time flies when you're having fun: Cognitive absorption and beliefs about information technology usage. Management Information Systems Quarterly. Vol.24(4),665-694
Bhattacheijee, A. (2001). Understanding information systems continuance: an expectation-confirmation mode. Management Information Systems Quarterly. Vol.25(3),357.
Bi, D. T. & Qiu, C.B. (2014). Research the Impact Mechanism of B2C E-commerce Enterprise Customer Interaction on Customer Experience. Journal of China Soft Science. Vol. 12, 124-135.
Bourne, J, Harris, D., & Mayadas, F. (2005). Online engineering education: Learning anywhere, anytime. Journal of Engineering Education. Vol.9(1),15-16.
Cadotte, E.R, &Turgeon, N. (1988). Dissatisfiers and satisfiers: suggestions from consumer complaints and compliments. Journal of Consumer Satisfaction, Dissatisfaction, and Complaining Behavior. Vol.1(1),74.
Cao, Q. J. (2009). Research on User Satisfaction of Government Websites Based on User Experience. Journal of Information Science.
Scholar: Human Sciences, ISSN 2586-9388, Vol.14 No.2 (Jul.-Dec. 2022)
Vol.27(10). 1474
CELTSC. (2012). Evaluation Specification for Online Courses of the Education Information Technology Standards Committee of the Ministry of Education. Retrieved from http://wwwceltsc.edu.cn/content5ygll/40288b88391ebfdlO1391ed318b0001c.html.
China Internet Network Information Center. (2020). Statistical Report on Internet Development in China. Retrieved from https://cnnic.com.cn/IDR/ReportDownloads/202012/P020201201530023411644.pdf
Cho, E. (2015). Analysis of the structural relationship among task value, e-learning quality, approaches to learning, satisfaction, and academic achievement in culture & arts online courses. Korean Association of Arts Management. Vol. 37,5-6.
Chou, W., & Lu, C. (2013). Reflections on education and technological development in China 2013. Shanghai: Deloitte. Retrieved from https://www2.deloitte.com/content/dam/Deloitte/cn/Documents/technology-media telecommunications/deloitte-cn-tmt-reflection-edu-tech-development-china-2013-en-020513.pdf
Cochran, G. W. (1977). Sampling Techniques (third edition). New York, NY: John Wiley & Sons.
Drucker, P. F. (1954). The practice of management. New York: Harper Business.
Du, J. G. & Fan, X.C. (2007). Research on Customer Satisfaction Model Based on Experience-An Empirical Research on Group Travel. Journal of Management. Vol.4(4),514.
Fornell, C.&Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Mark. Research. Vol.18,39–50.
Garrett, J. J. (2007). Elements of User Experience—User-centered Web Design. Beijing: Mechanical Industry Press.
Hair, J.F., Anderson, R.E., Tatham, R.L.,& Black, W.C.,(1995).Multivariate Data Analysis with Readings.Prentice-Hall, Englewood Cliffs, NJ.
Halawi, L.A., McCarthy, R.Y & Pires, S. (2009). An evaluation of e-leaming based on Bloom's taxonomy: an exploratory study. Journal of
Scholar: Human Sciences, ISSN 2586-9388, Vol.14 No.2 (Jul.-Dec. 2022)
Education for Business, Vol.84(6), 374-380.
Han, X.B, Ge, W. S & Zhou, Q. (2014). Comparison study of MOOC Platform and typical online teaching platform. Journal of China Audio-visual Education. Vol. 1, 61-68.
Hassenzahl, M, &Tractinsky,N. (2006). User experience-a research agenda. Journal of Behaviour & Information Technology. Vol.,25(2):91.
Holbrook, M. B. (1996). Customer Value—A Framework for Analysis and Research. Journal of Advances in Consumer Research. Vol.23(1),138.
Huang, J.H., Lin, Y.R. & Chuang,S.T. (2007).Elucidating user behavior of mobile learning: A perspective of the extended technology acceptance model. Journal of The Electronic Library. Vol. 25(5),585.
Jiang, X.F. (2015). Research on the Influence of Social Network Characteristics on Online Learning Use Intention. Dissertation. Zhejiang: Zhejiang University.
Kang, M, &Im, T. (2013). Factors of learner-instructor interaction which predict perceived learning outcomes in online learning environment. Journal of Computer Assisted Learning. Vol.29(3),292
Kerin, R. A., Jain, A., & Howard, D. J. (1992). Store shopping experience and consumer price-quality-value perceptions. Journal of Retailing.Vol.68(4),376.
Kim, H. W, Chan, H.C., & Gupta, S. (2007). Value-based adoption of mobile internet: an empirical investigation. Journal of Decision Support Systems. Vol.43(1),111-126.
Klaus P. (2012). A Multiple-item Scale for Assessing Service Experience. Journal of Service Management.Vol.23(1),5-33.
Kuo,Y.F., Wu,C.M. & Deng,W.J. (2009).The relationships among service quality, perceived value, customer satisfaction, and post-purchase intention in mobile value-added services. Journal of Computers in Human Behavior. Vol. 25(4),887-896.
Lei, W. (2015). Research the Impact of IPTV User Experience on Perceived Value and Customer Satisfaction. Dissertation. Guangdong: South China University of Technology
Li, D. (2011). Research on the Evaluation and Improvement of Online Learning WBL Service Quality. Dissertation. Sichuan: University of Electronic Science and Technology of China.
Scholar: Human Sciences, ISSN 2586-9388, Vol.14 No.2 (Jul.-Dec. 2022)
Li, J. Z. & Fan, X. C. (2006). Empirical Research on Three-Dimensional Service Experience. Journal of Tourism Science. Vol.20(2),54-55.
Luarn, P. & Lin, H.H. (2005). Toward an understanding of the behavioral intention to use mobile banking. Journal of Computers in Human Behavior.Vol.21(6),873-891.
Mathwick,C., Malhotra, N.K.,& Rigdon, E. (2002). The effect of dynamic retail experiences on experiential perceptions of value: An Internet and catalog comparison. Journal of retailing. Vol.78(1),51-60.
Nie, P. J. (2013). Research on the Relationship between Customer Experience and Customer Satisfaction under Festival Consumption. Dissertation. Shandong: Qingdao Technological University.
Nunnally, J.C. (1978). Psychometric Theory 2nd. McGraw-Hill, New York.
O'Brien, H.L. (2010). The influence of hedonic and utilitarian motivations on user engagement: The case of online shopping experiences. Journal of Interacting with Computers.Vol.22(5),344.
Ouyang Y. Q. (2014). Research on Influencing Factors of Adoption Willingness for Paid Online Learning. Dissertation. Sichuan: Southwestern University of Finance and Economics.
Parasuraman, A. (1997). Reflections on gaining competitive advantage through customer value. Journal of the Academy of Marketing Science. Vol.25(2),154-161.
Peltier, J.W., Schibrowsky, J.A., & Drago, W.(2007).The interdependence of the factors influencing the perceived quality of the online learning experience: A causal model. Journal of Marketing Education. Vol. 29(2),140.
Pine, B. J.& Gilmore, J. H. (2002). Experience Economy. Beijing: Machinery Industry Press.
Rodrigues，J.J.P.C., Sabino, F.M.R., &Zhou, L. (2011). Enhancing e-learning experience with online
Schmitt, B. K. (2004). Experiential Marketing. Beijing: Tsinghua University Press.
Sloane, A. (1997). Learning with the Web: Experience using the World Wide Web in a learning environment. Journal of Computers &Education. Vol.28(4),207. Social networks. Journal of IET Communications. Vol. 5(8),1147.
Su, Q. (2011). Research on User Experience Based on Domestic C2C E-commerce Website. Dissertation. Beijing: Beijing University of Posts
Scholar: Human Sciences, ISSN 2586-9388, Vol.14 No.2 (Jul.-Dec. 2022)
and Telecommunications.
Tian, J., & Zheng, Z. (2017). Smart education in Yunnan, China: Present situation and construction measures. 2017 International Conference on Service Systems and Service Management, 1-5.
Tu, J. B. & Chen, X.B. (2015). The relationship between user-user interaction, co-creation of user experience, and user co-creation of value—Taking non-transactional virtual communities as an example. Journal of the Wuhan University of Technology. Vol.28(5), 942-948
Walter, U. Edvardsson, B. & Ostrdm, A. (2010). Drivers of customers service experiences: a study in the restaurant industry. International Journal of Managing Service Quality. Vol.20(3),236-258.
WCET Edutools (2006). "Course Management System" Features and Criteria. Retrieved from http://wcet.wiche.edu/initiatives/past-projects/edutools.
Woodruff, R.B. (1997). Customer value: the next source of competitive advantage. Journal of the academy of marketing science. Vol.25(2).139-153
Wu, J.H, &Wang, S.C. (2005). What drives mobile commerce? An empirical evaluation of the revised technology acceptance model. Journal of Information & Management. Vol. 42(5),719.
Wu, L. (2008). Research on Driving Factors and Functions of Teahouse Brand Based on Customer Experience. Dissertation. Zhejiang: Zhejiang University.
Yan, G. X. (2009). Value Theory of Consumption Experience. Beijing: Economic Science Press.
Yang, X. D. (2007). The Influence of Customer Experience on Customer Loyalty in Service Industry. Dissertation. Jilin: Jilin University.
Zeithaml, V.A. (1988). Consumer perceptions of price-quality, and value: a means-end model and synthesis of evidence. Journal of marketing.Vol.52(3), 2-22.
Zhang, J., Zhao, Y. & Yu, H. (2013). Research on User Experience Evaluation of B2C E-commerce Websites. Journal of Information Science. Vol.31(12). 84
Zhen, H. S. (2003). New Introduction to Sociology. Beijing: Renmin University of China Press.
Scholar: Human Sciences, ISSN 2586-9388, Vol.14 No.2 (Jul.-Dec. 2022)
Zhou, T., Lu, Y. B. & Zhang, J. L. (2009). Research on Acceptance Behavior of Mobile Business Users Based on Perceived Value and Trust. Journal of Management. Vol.6(10),1407-1412.
