Evaluating Significant Factors of Graduate Students’ Satisfaction With Small Private Online Course in Chongqing, China
DOI:
https://doi.org/10.14456/shserj.2024.63Keywords:
Service Quality, Perceived Enjoyment, Interactivity, Satisfaction, Small Private Online CourseAbstract
Purpose: The objective of this research is to investigate the determinants that impact student satisfaction when utilizing Small Private Online Courses (SPOCs) in Chongqing, China. The conceptual framework encompasses factors such as information quality, system quality, service quality, perceived ease of use, perceived usefulness, perceived enjoyment, interactivity, and satisfaction. Research design, data, and methodology: The research focused on a target population comprising 500 graduate students specializing in art, enrolled in the SPOC programs of the two prominent universities situated in Chongqing, China. Employing a quantitative approach, data collection was carried out through a structured questionnaire-based research design. To ensure the quality of the data, the study applied the Index of Item-Objective Congruence (IOC) and Cronbach's Alpha for assessing content validity and data reliability, respectively. The gathered data underwent analysis using Confirmatory Factor Analysis (CFA) and Structural Equation Modeling (SEM) techniques. Results: The results show that information quality, system quality, perceived ease of use, and perceived usefulness significantly influence satisfaction. Perceived ease of use has a significant influence on perceived usefulness. Nevertheless, service quality, interactivity and perceived enjoyment have no significant influence on satisfaction. Conclusions: The findings offer practical insights for educators and institutions aiming to improve the quality and effectiveness of online education in Chongqing, China, and beyond.
References
Abdullah, F., Ward, R., & Ahmed, E. (2016). Investigating the influence of the most commonly used external variables of TAM on students’ perceived ease of use (PEOU) and perceived usefulness (PU) of e-portfolios. Computers in Human Behavior, 63(3), 75-90.
Adamson, I., & Shine, J. (2003). Extending the new technology acceptance model to measure the end-user information systems satisfaction in a mandatory environment: a bank’s treasury. Technology Analysis & Strategic Management, 15(4), 441-55.
Alves, H., & Raposo, M. (2007). Conceptual model of student satisfaction in higher education. Total Quality Management, 18(5), 571-588.
Bentler, P. M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107(2), 238-246.
https://doi.org/10.1037/0033-2909.107.2.238
Brown, R., & Mazzarol, T. (2009). The importance of institutional image to student satisfaction and loyalty within higher education. Higher Education, 58(1), 81-95.
Chatterjee, S., Chakraborty, S., Sarker, S., Sarker, S., & Lau, F. Y. (2009). Examining the success factors for mobile work in healthcare: a deductive study. Decision Support Systems, 46(3), 620-633.
Chen, C. C., Lee, C. H., & Hsiao, K. L. (2018). Comparing the determinants of non-MOOC and MOOC continuance intention in Taiwan: effects of interactivity and openness, Library Hi Tech, 36(4), 705-719.
Chen, J. V., Rungruengsamrit, D., Rajkumar, T., & Yen, D. C. (2013). The success of electronic commerce Web sites: a comparative study in two countries. Information & Management, 50(6), 344-355.
Chen, Y. H., & Xie, J. (2008). Online consumer review: word-of-mouth as a new element of the marketing communication mix. Management Science, 54(3), 477-491.
Cheng, Y.-M. (2020). Students' satisfaction and continuance intention of the cloud-based e-learning system: roles of interactivity and course quality factors. Education + Training, 62(9), 1037-1059. https://doi.org/10.1108/ET-10-2019-0245
Davis, F. (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
DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: a ten-year update. Journal of Management Information Systems, 19(4), 9-30. https://doi.org/10.1080/07421222.2003.11045748
Demangeot, C., & Broderick, A. J. (2006). Exploring the experiential intensity of online shopping environments. Qualitative Market Research: An International Journal, 9(4), 325-351.
Eid, M. I. (2011). Determinants of e-commerce customer satisfaction, trust, and loyalty in Saudi Arabia. Journal of Electronic Commerce Research, 12(1), 78.
Floropoulos, J., Spathis, C., Halvatzis, D., & Tsipouridou, M. (2010). Measuring the success of the Greek taxation information system. International Journal of Information Management, 30(1), 47-56.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.
Gable, G. G., Sedera, D., & Chan, T. (2008). Re-conceptualizing information system success: the IS-impact measurement model. Journal of the Association for Information Systems, 9(7), 377-408. https://doi.org/10.17705/1jais.00164
Gao, L. L., & Bai, X. S. (2014). An empirical study on continuance intention of mobile social networking services Integrating the IS success model, network externalities and flow theory. Asia Pacific Journal of Marketing and Logistics, 26(2), 168-189.
Gerow, J. E., Ayyagari, R., Thatcher, J. B., & Roth, P. L. (2013). Can we have fun & work? The role of intrinsic motivation for utilitarian systems. European Journal of Information Systems, 22(3), 360-380.
Hair, J., Black, W., Babin, B., Anderson, R., & Tatham, R. (2006). Multivariate Data Analysis (6th ed.). Pearson Education.
Haq, N. U., Raja, A. A., Nosheen, S., & Sajjad, M. F. (2017). Determinants of client satisfaction in web development projects from freelance marketplaces. International Journal of Managing Projects in Business, 11(3), 583-607.
Headar, M. M., Elaref, N., & Yacout, O. M. (2013). Antecedents and consequences of student satisfaction with e-learning: the case of private universities in Egypt. Journal of Marketing for Higher Education, 23(2), 226-257.
Hiranrat, W. (2016). The Design of the Contents of an e-Learning for Teaching M.5 English Language Using ADDIE Model. International Journal of Information and Education Technology, 6(2), 127-131. https://doi.org/10.7763/IJIET.2016.V6.671
Hsiao, K. L., Lin, K. Y., Wang, Y. T., Lee, C. H., & Zhang, Z. M. (2019). Continued use intention of lifestyle mobile applications: the Starbucks app in Taiwan. The Electronic Library, 37(5), 893-913.
Hussein, R., Selamat, M. H., & Karim, N. S. A. (2007). The impact of technological factors on information systems success in the electronic government context. Business Process Management Journal, 13(5), 613-617.
Ifinedo, P. (2017). Students’ perceived impact of learning and satisfaction with blogs. The International Journal of Information and Learning Technology, 34(4), 322-337.
Iivari, J. (2005). An empirical test of the Delone-Mclean model of information systems success. Data Base for Advances in Information Systems, 36(2), 8-27.
Islam, A. Y. M. A., Mok, M. M. C., Xiuxiu, Q., & Leng, C. H. (2017). Factors influencing students satisfaction in using wireless internet in higher education Cross-validation of TSM. The Electronic Library, 36(1), 2-20. https://doi.org/10.1108/EL-07-2016-0150
Jo, S., & Kim, Y. (2003). The effect of web characteristics on relationship building. Journal of Public Relations Research, 15(3), 199-223.
Johnson, R., & Winchell, W. (1988). Educating for quality. Quality Progress, 2(1), 48-50.
Kaplan, A. M., & Haenlein, M. (2016). Higher education and the digital revolution: About MOOCs, SPOCs, social media, and the Cookie Monster. Business Horizons 59(4), 441-450.
Kim, C., Oh, E., Shin, N., & Chae, M. (2009). An empirical investigation of factors affecting ubiquitous computing use and U-business value. International Journal of Information Management, 29(6), 436-448.
https://doi.org/10.1016/j.ijinfomgt.2009.06.003
Kulkarni, U. R., Ravindran, S., & Freeze, R. (2007). A knowledge management success model: theoretical development and empirical validation. Journal of Management Information Systems, 23(3), 309-347. https://doi.org/10.2753/NUS0742-1222230311
Kumar, R. G., & Ravindran, S. (2012). An empirical study on service quality perceptions and continuance intention in mobile banking context in India. Journal of Internet Banking and Commerce, 17(1), 1-22.
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. Computers in Human Behavior, 25(4), 887-896.
Lee, K. C., & Chung, N. (2009). Understanding factors affecting trust in and satisfaction with mobile banking in Korea: a modified DeLone and McLean’s model perspective. Interacting with Computers, 21(5/6), 385-392.
Lee, M. K. O., Cheung, C. M. K., & Chen, Z. (2005). Acceptance of internet-based learning medium: the role of extrinsic and intrinsic motivation. Information & Management, 42(8), 1095-1104.
Lee, T. M., & Park, C. (2008). Mobile technology usage and B2B market performance under mandatory adoption. Industrial Marketing Management, 37(7), 833-840.
Lee, Y. C. (2006). An empirical investigation into factors influencing the adoption of an e-learning system. Online Information Review, 30(5), 517-541. https://doi.org/10.1108/14684520610706406
Lewis, R. C., & Booms, B. H. (1983). Emerging Perspectives on Services Marketing. In L. L. Berry, G. Shostack & G. Upah (Eds.), Emerging Perspectives in Service Marketing, American Marketing Association (pp. 99-107). American Marketing.
Li, L., Zhang, L., & Willamowska-Korsak, M. (2014). The effects of collaboration on build-to-order supply chains: comparing BTO, MTO, and MTS. Information Technology & Management, 15(2), 69-79.
Lien, C. H., Cao, Y., & Zhou, X. (2017). Service quality, satisfaction, stickiness, and usage intentions: an exploratory evaluation in the context of We Chat services. Computers in Human Behavior, 68, 403-410.
Lin, C. S., Wu, S., & Tsai, R. J. (2005). Integrating perceived playfulness into expectation-confirmation model for web portal context. Information & Management, 42(5), 683-693.
Lin, H. F. (2008). Determinants of thriving virtual communities: contributions from system characteristics and social factors. Information and Management, 45(8), 522-527.
Liu, C.-T., Guo, Y., & Lee, C.-H. (2011). The effects of relationship quality and switching barriers on customer loyalty. International Journal of Information Management, 31, 71-79. https://doi.org/10.1016/j.ijinfomgt.2010.05.008
Liu, S.-H., Liao, H.-L., & Pratt, J. (2009). Impact of media richness and flow on e-learning technology acceptance. Computers & Education, 52, 599-607. https://doi.org/10.1016/j.compedu.2008.11.002
Liu, Y., Chen, Y., & Zhou, C. (2006, October). Determinants affecting end-user satisfaction of information technology service [Paper Presentation]. 2006 International Conference on Service, Troyes.
Lowry, P. B., Romano, N. C., Jenkins, J. L., & Guthrie, R. W. (2009). The CMC interactivity model: how interactivity enhances communication quality and process satisfaction in lean-media groups. Journal of Management Information Systems, 26(1), 155-196.
Mahmood, M., Burn, J. M., Gemoets, L. A., & Jacquez, C. (2000). Variables affecting information technology end-user satisfaction: a meta-analysis of the empirical literature. International Journal of Human-Computer Studies, 52(4), 751-71.
Masrek, M. N., Jamaludin, A., & Mukhtar, S. A. (2009). Evaluating academic library portal effectiveness: A Malaysian case study. Library Review, 59(3), 198-212. https://doi.org/10.1108/00242531011031188
Min, Y., Huang, J., Varghese, M. M., & Jaruwanakul, T. (2022). Analysis of Factors Affecting Art Major Students’ Behavioral Intention of Online Education in Public Universities in Chengdu. AU-GSB E-JOURNAL, 15(2), 150-158.
https://doi.org/10.14456/augsbejr.2022.80
Natour, S., & Woo, C. (2020). The determinants of learner satisfaction with the online video presentation method. Internet Research, 31(1), 234-261. https://doi.org/10.1108/INTR-04-2019-0155
Negash, S., Ryan, T., & Igbaria, M. (2003). Quality and effectiveness in web-based customer support systems. Information and Management, 40(8), 757-768.
Nunnally, J. C. (1978). Psychometric Theory. McGraw-Hill.
Nusair, K., Kandampully, J., & Nusair, K. (2008). The antecedents of customer satisfaction with online travel services: A conceptual model. European Business Review, 20, 4-19. https://doi.org/10.1108/09555340810843663
Ozkan, S., Koseler, R., & Baykal, N. (2009). Evaluating learning management systems: Adoption of hexagonal e-learning assessment model in higher education. Transforming Government: People, Process and Policy, 3, 111-130.
https://doi.org/10.1108/17506160910960522
Pedroso, R., Zanetello, L., Guimaraes, L., Pettenon, M., Goncalves, V., Scherer, J., Kessler, F., & Pechansky, F. (2016). Confirmatory factor analysis (CFA) of the crack use relapse scale (CURS). Archives of Clinical Psychiatry, 43(3), 37-40. https://doi.org/10.1590/0101-60830000000081
Poelmans, S., Reijers, H. A., & Recker, J. (2013). Investigating the success of operational business process management systems. Information Technology and Management, 14(4), 295-314.
Pritchard, A. (2013). Ways of Learning: Learning theories and learning styles in the classroom (3rd ed.). Routledge. https://doi.org/10.4324/9781315852089
Ramayah, T., Ahmad, N., & Hong, T. (2012). An Assessment of E-training Effectiveness in Multinational Companies in Malaysia. Educational Technology and Society, 15(2), 125-137.
Ramírez-Correa, P. E., Rondan-Cataluña, F. J., Arenas-Gaitán, J., & Alfaro-Perez, J. L. (2017). Moderating effect of learning styles on a learning management system’s success. Telematics and Informatics, 34(1), 272-286.
Sagar, V. R. V. (2006). A digital library success model for computer science student use of the meta-search system [Unpublished Master’s Thesis]. Virginia Polytechnic Institute, and State University.
Sharma, G. P., Verma, R. C., & Pathare, P. (2005). Mathematical modeling of infrared radiation thin layer drying of onion slices. Journal of Food Engineering, 71(3), 282-286. https://doi.org/10.1016/j.jfoodeng.2005.02.010
Sharma, S. K., Chandel, J. K., & Govindaluri, S. M. (2014). Students’ acceptance and satisfaction of learning through course websites. Education, Business, and Society: Contemporary Middle Eastern Issues, 7(2/3), 152-166.
Shiau, W. L., & Luo, M. M. (2010, July 9-10). Continuance intention of blog users: the impact of perceived enjoyment and user involvement. Proceedings of PACIS, Taipei.
Sica, C., & Ghisi, M. (2007). The Italian versions of the Beck Anxiety Inventory and the Beck Depression Inventory-II: Psychometric properties and discriminant power. In M. A. Lange (Ed.), Leading - Edge Psychological Tests and Testing Research (pp. 27-50). Nova.
Sørebø, Ø., Halvari, H., Gulli, V. F., & Kristiansen, R. (2009). The role of self-determination theory in explaining teachers’ motivation to continue to use e-learning technology. Computers & Education, 53(4), 1177-1187.
Sørum, H., Medaglia, R., Andersen, K. N., Scott, M., & Delone, W. (2012). Perceptions of information system success in the public sector: web admins at the steering wheel?. Transforming Government: People, Process and Policy, 6(3), 239-257.
Stevens, J. P. (1992). Applied multivariate statistics for the social sciences (2nd ed.). Erlbaum.
Stone, R. W., & Baker-Eveleth, L. (2013). Students’ expectation, confirmation, and continuance intention to use electronic textbooks. Computers in Human Behavior, 29(3), 984-990.
Tan, G. W. H., Lee, V. H., Hew, J. J., Ooi, K. B., & Wong, L. W. (2018). The interactive mobile social media advertising: an imminent approach to advertise tourism products and services? Telematics and Informatics, 35(8), 2270-2288.
Taylor, S., & Todd, P. A. (1995). Understanding information technology usage: a test of competing models. Information System Research, 6(2), 144-174.
Teo, T. S. H., Srivastava, S. C., & Jiang, L. (2009). Trust and electronic government success: an empirical study. Journal of Management Information Systems, 25(3), 99-131.
Thong, J. Y. L., Hong, W., & Tam, K. Y. (2002). Understanding user acceptance of digital libraries: what are the roles of interface characteristics, organizational context, and individual differences?. International Journal of Human-Computer Studies, 57(3), 215-42. https://doi.org/10.1016/S1071-5819(02)91024-4
Vaidyanathan, G., Sabbaghi, A., & Bargellini, M. (2005). User acceptance of digital library: an empirical exploration of individual and systems components. Issues in Information Systems, 6(2), 279-285.
Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: four longitudinal field studies. Management Science, 46(2), 186-204. https://doi.org/10.1287/mnsc.46.2.186.11926
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.
Wang, X. (2019). Research and practice based on SPOC seminar flipped classroom. Journal of Inner Mongolia University of Finance and Economics, 17(1), 138-141.
Westbrook, R. A., & Reilly, M. D. (1983). Value-percept disparity: an alternative to the disconfirmation of expectations theory of consumer satisfaction. NA-Advances in Consumer Research, 10, 256-261.
Wixom, B. H., & Todd, P. A. (2005). Theoretical integration of user satisfaction and technology acceptance. Information Systems Research, 16(1), 85-102.
Wu, J. H., & Wang, Y. M. (2006). Measuring KMS success: A respecification of the DeLone and McLean’s model. Information and Management, 43(6), 728–739. https://doi.org/10.1016/j.im.2006.05.002
Yang, Z., Peterson, R. T., & Cai, S. (2003). Services quality dimension of internet retailing: an exploratory analysis. Journal of Services Marketing, 17(6/7), 685-700.
Zeithaml, V. A., Berry, L. L., & Parasuraman, A. (1996). The behavioral consequences of service quality. Journal of Marketing, 60(2), 31-46.
Zhou, T. (2011).Examining the critical success factors of mobile website adoption. Online Information Review, 35(4), 636-652.
Zhou, T., Lu, Y., & Wang, B. (2009). The relative importance of website design and service quality determines consumers online repurchase behavior. Information Systems Management, 26(4), 327-337.
Downloads
Published
How to Cite
Issue
Section
License
The submitting author warrants that the submission is original and that she/he is the author of the submission together with the named co-authors; to the extend the submission incorporates text passages, figures, data, or other material from the work of others, the submitting author has obtained any necessary permission.
Articles in this journal are published under the Creative Commons Attribution License (CC-BY What does this mean?). This is to get more legal certainty about what readers can do with published articles, and thus a wider dissemination and archiving, which in turn makes publishing with this journal more valuable for you, the authors.
