The Investigation on Satisfaction and Behavioral Intention to Use Graduation Management System: A Case of Chinese Art Students
DOI:
https://doi.org/10.14456/shserj.2024.4Keywords:
Attitude, Trust, System Quality, Satisfaction, Behavioral IntentionAbstract
Purpose: This study assesses factors impacting the satisfaction and behavioral intention of students in art majors who graduated in 2022 and have been experiencing the use of the graduation management system in China. The conceptual framework was based on perceived ease of use, usefulness, system quality, trust, attitude, satisfaction, and behavioral intention. Research design, data, and methodology: The target population is 500 participants, applying the quantitative approach to distribute the questionnaire. The sampling techniques are judgmental, stratified random, and convenience sampling. Before the data collection, the Item-Objective Congruence (IOC) and pilot test (n=50) of Cronbach’s Alpha were confirmed. The data analysis was implanted by confirmatory factor analysis to evaluate factor loadings, validities, and reliabilities. Furthermore, structural equation modeling was used to test a significant relationship and hypotheses. Results: All hypotheses are supported. Perceived ease of use has a significant impact on perceived usefulness and satisfaction. Perceived usefulness strongly impacts satisfaction, followed by behavioral intention. System quality significantly impacts satisfaction. In addition, behavioral intention is significantly impacted by trust, attitude, and satisfaction. Conclusion: The use of graduation management systems in colleges and universities in China provided a more effective development theory and foundation for the system developers to improve and upgrade the graduation management system.
References
Afari-Kumah, E., & Achampong, A. K. (2010). Modeling computer usage intentions of tertiary students in a developing country through the Technology Acceptance Model. International Journal of Education and Development using Information and Communication Technology (IJEDICT), 6(1), 102-116.
Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behavior (1st ed.). Prentice Hall.
Akkoyunlu, B., & Soylu, M. Y. (2008). A study of student's perceptions in a blended learning environment based on different learning styles. Educational Technology & Society, 11(1), 183-193.
Al-Azawei, A., & Lundqvist, K. (2015). Learner Differences in Perceived Satisfaction of an Online Learning: An Extension to the Technology Acceptance Model in an Arabic Sample. Electronic Journal of e-Learning, 13(5), 408-426.
Alenezi, A. R., Abdul Karim, A. M., & Veloo, A. (2010). An empirical investigation into the role of enjoyment, computer anxiety, computer self-efficacy and internet experience in influencing the students’ intention to use e-learning: a case study from Saudi Arabian governmental universities. The Turkish Online Journal of Educational Technology, 9(4), 22-34.
Al-Khaldi, M. A., & Al-Jabri, I. M. (1998). The relationship of attitudes to computer utilization: new evidence from a developing nation. Computers in Human Behavior, 14(1), 23-42.
Al-Mamary, Y. H., & Shamsuddin, A. (2015). Testing of the technology acceptance model in context of yemen. Mediterranean Journal of Social Sciences, 6(4), 268-273. https://doi.org/10.5901/mjss.2015.v6n4s1p268
Awang, Z. (2012). Structural equation modeling using AMOS graphic (1st ed.). Penerbit University Teknologi MARA.
Bagozzi, R. P., & Yi, Y. (1989). The degree of intention formation as a moderator of the attitude-behavior relationship. Social Psychology Quarterly, 52(4), 266-279. https://doi.org/10.2307/2786991
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
Bouhnik, D., & Marcus, T. (2006). Interaction in Distance-Learning Courses. Journal of the American Society for Information Science and Technology, 57(3), 299-305.
Chiua, C.-M., Hsu, M.-H., Sun, S.-Y., Lin, T.-C., & Sun, P.-C. (2005). Usability, quality, value and e-learning continuance decisions. Computers & Education, 45(4), 399-416.
Cigdem, H., & Öztürk, M. (2016). Factors Affecting Students' Behavioral Intention to Use LMS in Turkish Post-Secondary Vocational School. International Review of Research in Open and Distance Learning, 17(3), 276-295. 10.19173/irrodl.v17i3.2253.
Cigdem, H., & Topcu, A. (2015). Predictors of instructors’ behavioral intention to use learning management system: A Turkish vocational college example. Computers in Human Behavior, 52, 22-28.
Cronin, J. J., Brady, M. K., & Hult, G. T. (2000). Assessing the effects of quality, value, customer satisfaction on consumer behavioral intention in service environments. Journal of Retailing, 76(2), 193-218.
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: a comparison of two theoretical models. Management Science, 35(8), 982-1003.
DeLone, W., & McLean, E. (2004). Measuring e-commerce success: Applying the DeLone & McLean information systems success model. International Journal of Electronic Commerce, 9(1), 31-47.
Dwyer, R., Schurr, P., & Oh, S. (1987). Developing buyer seller relationships. Journal of Marketing, 51(2), 11-27.
Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention, and behavior: An introduction to theory and research (1st ed.). Addison-Wesley.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50. https://doi.org/10.2307/3151312
Hair, J. F., Money, A. H., Samouel, P., & Page, M. (2007). Research methods for business. Education + Training, 49(4), 336-337. https://doi.org/10.1108/et.2007.49.4.336.2
Herman, H. (2017). Loyalty, Trust, Satisfaction and Participation in Universitas Terbuka Ambiance: Students’ Perception. Turkish Online Journal of Distance Education, 18(3), 84-84. https://doi.org/10.17718/tojde.328937
Huntley, J. K. (2006). Conceptualization and measurement of relationship quality: linking relationship quality to actual sales and recommendation intention. Industrial Marketing Management, 35(6), 703-714.
Imrie, B. C., Durden, G., & Cadogan, J. W. (2000). Towards a conceptualization of service quality in the global market arena. Advances in International Marketing, 10(1), 143-162.
Kao, C.-P., & Tsai, C.-C. (2009).. Teachers’ attitudes toward web-based professional development, with relation to internet selfefficacy and beliefs about web-based learning. Computers & Education, 53(1), 66-73. https://doi.org/10.1016/j.compedu.2008.12.019
Kaplanidou, K., Karadakis, K., Gibson, H., Thapa, B., Walker, M., Geldenhuys, S., & Coetzee, W. (2013). Quality of life, event impacts, and mega-event support among South African residents before and after the 2010 FIFA world cup. Journal of Travel Research, 52(5), 631-645.
Kim, C., Mirusmonov, M., & Lee, I. (2010). An empirical examination of factors influencing the intention to use mobile payment. Computers in Human Behavior, 26(3), 310-322.
Kim, M., & Qu, H. (2014). Travelers' behavioral intention toward hotel self-service kiosks usage. International Journal of Contemporary Hospitality Management, 26(2), 225-245. https://doi.org/10.1108/IJCHM-09-2012-0165
Kulangara, N. P., Jackson, S. A., & Prater, E. (2016). Examining the impact of socialization and information sharing and the mediating effect of trust on innovation capability. International Journal of Operations and Production Management, 10(1), 122-135.
Kumar, N., Scheer, L. K., & Steenkamp, J.-B. E. M. (1995). The effects of supplier fairness on vulnerable resellers. Journal of Marketing Research, 32(1), 54-65.
Lam, T., Cho, V., & Qu, H. (2007). A study of hotel employee behavioral intentions towards adoption of information technology. International Journal of Hospitality Management, 26(1), 49-65.
Lee, H., Lee, Y., & Yoo, D. (2000). The determinants of perceived service quality and its relationship with satisfaction. Journal of Services Marketing, 14(3), 217-231.
Liu, D. S., & Chen, W. (2009). An Empirical Research on the Determinants of User M-Commerce Acceptance. In R. Lee & N. Ishii (Eds.), Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (pp. 93–104). Springer.
Lwoga, E. (2014). Critical success factors for adoption of web-based learning management systems in Tanzania. International Journal of Education and Development using Information and Communication Technology, 10(1), 4-21.
Morgan, R. M., & Hunt, S. D. (1994). The commitment-trust theory of relationship marketing. Journal of Marketing, 58(3), 20-38.
Mungra, Y., & Yadav, P. K. (2020). The mediating effect of satisfaction on trust-commitment and relational outcomes in manufacturer–supplier relationship. Journal of Business & Industrial Marketing, 35(2), 219-230.
https://doi.org/10.1108/JBIM-09-2018-0268
O’Neill, M. A., & Palmer, A. (2004). Importance-performance analysis: a useful tool for directing continuous quality improvement in higher education. Quality Assurance in Education, 12(1), 39-52.
Oliver, R. L. (1981). Measurement and evaluation of satisfaction processes in retail settings. Journal of Retailing, 57(3), 25-48.
Parasuraman, A., Zeithaml, A. V., & Berry, L. L. (1985). A conceptual model of service quality and its implications for future research. The Journal of Marketing, 49(4), 41-50.
Pavlou, P. A., & Xue, L. Y. (2007). Understanding and mitigating uncertainty in online exchange relationships: a principal-agent perspective. MIS Quarterly, 31(1), 105-136.
Pedroso, R., Zanetello, L., Guimarães, L., Pettenon, M., Gonçalves, V., Scherer, J., Kessler, F., & Pechansky, F. (2016). Confirmatory factor analysis (CFA) of the Crack Use Relapse Scale (CURS). Archives of Clinical Psychiatry (São Paulo), 43(3), 37-40. https://doi.org/10.1590/0101-60830000000081
Richter, T., Naumann, J., & Groeben, N. (2000). Attitudes toward the computer: Construct validation of an instrument with scales differentiated by content. Computers in Human Behavior, 16, 473-491.
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
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.
Soper, D. S. (2022, May 24). A-priori Sample Size Calculator for Structural Equation Models. Danielsoper. www.danielsoper.com/statcalc/default.aspx
Sun, P. C., Tsai, R. J., Finger, G., Chen, Y. Y., & Yeh, D. (2008). What drives a successful e-learning? An empirical investigation of the critical factors influencing learner satisfaction. Computers & Education, 50(4), 1183-1202.
Teo, T. (2012). Examining the intention to use technology among preservice teachers: An integration of the Technology Acceptance Model and Theory of Planned Behavior. Interactive Learning Environments, 20(1), 3-18.
Teo, T., Zhou, M., Fan, A. C. W., & Huang, F. (2019). Factors that influence university students’ intention to use Moodle: A study in Macau. Educational Technology Research and Development, 67(2), 1-18.
Thong, J., Hong, S.-J., & Tam, K. (2006). The effects of post-adoption beliefs on the expectation-confirmation model for information technology continuance. International Journal of Human Computer Studies, 64(9), 799-810. https://doi.org/10.1016/j.ijhcs.2006.05.001
Venkatesh, V., & Bala, H. (2008). Technology Acceptance Model 3 and a research agenda on interventions. Decision Sciences, 29(2), 273–315.
Venkatesh, V., & Davis, F. D. (1996). A model of the antecedents of perceived ease of use: development and test. Decision Sciences, 27(3), 451-481.
Warshaw, P., & Davis, F. (1985). Disentangling behavioral intention and behavioral expectation. Journal of Experimental Social Psychology, 21(3), 213-228.
Wu, J.-H., & Wang, Y.-M. (2006). Measuring KMS success: A respecification of the DeLone and McLean's model. Information & Management, 43(6), 728-739. https://doi.org/10.1016/j.im.2006.05.002
Xie, H., Kitcharoen, K., Leelakasemsant, C., & Varghese, M. M. (2022). The Effect of Behavioral Intention to Use Hybrid Education: A Case of Chinese Undergraduate Students. AU-GSB E-JOURNAL, 15(2), 159-168. https://doi.org/10.14456/augsbejr.2022.81
Zeithaml, V. A., Berry, L. L., & Parasuraman, A. (1996). The Behavioral Consequences of Service Quality. Journal of Marketing, 60(2), 31-46.
Zhu, L., Li, H., Wang, F.-K., He, W., & Tian, Z. (2020). How online reviews affect purchase intention: a new model based on the stimulus-organism-response (S-O-R) framework. Aslib Journal of Information Management, 72(4), 463-488. https://doi.org/10.1108/AJIM-11-2019-0308
