Evaluate Student Satisfaction of Student Information System Utilising Technology Acceptance Model and Trust in China
DOI:
https://doi.org/10.18662/rrem/13.4/483Keywords:
Technology Acceptance Model, Student Information System, Trust, Student, SatisfactionAbstract
In this study, the factors affecting student satisfaction with student information systems have been investigated by applied Technology Acceptance Model and rust. Partial least squares structural equation modelling implemented to study these factors. 400 authentic responses from overseas students in a large number of universities located in Jiangsu province China have been evaluated. The statistical investigation findings demonstrate that student trust has a considerable effect on student satisfaction; meanwhile, the behavioural intention of use has no significant impact on student satisfaction.
References
Agag, G., & El-Masry, A. A. (2016). Understanding consumer intention to participate in online travel community and effects on consumer intention to purchase travel online and WOM: An integration of innovation diffusion theory and TAM with trust. Computers in Human Behavior, 60, 97-111. http://dx.doi.org/10.1016/j.chb.2016.02.038
Al-hawari, M. A., & Mouakket, S. (2010). The influence of technology acceptance model (TAM) factors on students’e‐satisfaction and e‐retention within the context of UAE e‐learning. Education, Business and Society: Contemporary Middle Eastern Issues, 3(4), 299-314. http://dx.doi.org/10.1108/17537981011089596
Alkhanak, S. A. K., & Azmi, I. A. G. (2011). University students information technology experience and its role towards e-learning orientation. New Educational Review, 24(2), 231-242. https://tner.polsl.pl/dok/volumes/tner_2_2011.pdf#page=231
Almusallam, A. A., Al-Gahtani, A. S., Aziz, A. R., & Rasheeduzzafar. (1996). Effect of reinforcement corrosion on bond strength. Construction and Building Materials, 10(2), 123-129. https://doi.org/10.1016/0950-0618(95)00077-1
Alsajjan, B., & Dennis, C. (2010). Internet banking acceptance model: Cross-market examination. Journal of Business Research, 63(9-10), 957-963. https://doi.org/10.1016/j.jbusres.2008.12.014
Bagozzi, R. P., & Warshaw, P. R. (1992). An examination of the etiology of the attitude-behavior relation for goal-directed behaviors. Multivariate Behavioral Research, 27(4), 601-634. https://psycnet.apa.org/doi/10.1207/s15327906mbr2704_6
Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16(1), 74-94. http://dx.doi.org/10.1007/BF02723327
Baleghi-Zadeh, S., Mohd Ayub, A. F., Mahmud, R., & Mohd Daud, M. D. (2014). Behavior intention to use of learning management system among Malaysian pre-service teachers: A confirmatory factor analysis. International Journal of Education and Literacy Studies, 2(1), 29-39. http://doi.org/10.7575/aiac.ijels.v.2n.1p.29
Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation-confirmation model. MIS Quarterly, 25(3), 351-370. http://dx.doi.org/10.2307/3250921
Chandio, F. H., Irani, Z., Zeki, A. M., Shah, A., & Shah, S. C. (2017). Online banking information systems acceptance: An empirical examination of system characteristics and web security. Information Systems Management, 34(1), 50-64. https://doi.org/10.1080/10580530.2017.1254450
Chen, Y. H., & Barnes, S. (2007). Initial trust and online buyer behaviour. Industrial Management and Data Systems, 107(1), 21-36. http://dx.doi.org/10.1108/02635570710719034
Chin, W. W., & Newsted, P. R. (1995). The importance of specification in causal modeling: The case of end -user computing satisfaction. Information Systems Research, 6(1), 73-81. https://doi.org/10.1287/isre.6.1.73
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340. http://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. http://eli.johogo.com/Class/p7.pdf
Deng, Z., Lu, Y., Wei, K. K., & Zhang, J. (2010). Understanding customer satisfaction and loyalty: An empirical study of mobile instant messages in China. International Journal of Information Management, 30(4), 289-300. https://d1wqtxts1xzle7.cloudfront.net/35210317/Understanding_customer_satisfaction_and_loyalty_An_empirical_study_of_mobile_instant_messages_in_China-with-cover-page-v2.pdf?Expires=1636117420&Signature=Jwi0VpemU1gB1z3tJvKGLDgtZtEJrCQu-0n-QpA0pFOfKYevY7nwFB5WsqU~824x9oDbtnutMdpFKnP~vzp6V2UNuGtySCMWrAEBFib2S-4MUQV5iq9ZcoOhmnr1zPq8NWCPAUeGV57cHc35Kvodll3KCywDxBDSEOGH4sXZNKUU7ZfMrXlY82FuwQyzhTwufcPWeMlPHz1snEmhdZhxGGetKoFI~Y2lGPRRrYXjlBYEeBcfJAsiLApQoPURGKfdRevBqcnKcuYd9cFDid5KertIyGxJcbPEMSpypNcXoJ1r0wJbHuEQ6bIOfn~77TfxXS6hNiOD0DB4Gu287qV4og__&Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA
Dillon, A., & Morris, M. G. (2005). User acceptance of information technology: Theories and models. Annual Review of Information Science and Technology, 31, 3-32. https://www.learntechlib.org/p/82513/
Dogruel, L., Joeckel, S., & Bowman, N. D. (2015). The use and acceptance of new media entertainment technology by elderly users: Development of an expanded technology acceptance model. Behaviour and Information Technology, 34(11), 1052-1063. https://doi.org/10.1080/0144929X.2015.1077890
Doll, W. J., & Torkzadeh, G. (1987). The quality of user documentation. Information and Management, 12(2), 73-78. https://doi.org/10.1016/0378-7206(87)90062-0
Elwood, S., Changchit, C., & Cutshall, R. (2006). Investigating students' perceptions on laptop initiative in higher education: An extension of the technology acceptance model. Campus-Wide Information Systems, 23(5), 336-349. http://dx.doi.org/10.1108/10650740610714099
Escobar-Rodriguez, T., & Monge-Lozano, P. (2012). The acceptance of Moodle technology by business administration students. Computers and Education, 58(4), 1085-1093. https://doi.org/10.1016/j.compedu.2011.11.012
Fagan, M. H., Neill, S., & Wooldridge, B. R. (2008). Exploring the intention to use computers: An empirical investigation of the role of intrinsic motivation, extrinsic motivation, and perceived ease of use. Journal of Computer Information Systems, 48(3), 31-37. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.843.7707&rep=rep1&type=pdf
Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and behavior: An introduction to theory and research. 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
Fu, J. R., Farn, C. K., & Chao, W. P. (2006). Acceptance of electronic tax filing: A study of taxpayer intentions. Information and Management, 43(1), 109-126. https://doi.org/10.1016/j.im.2005.04.001
Gajendra, S., Xi, B., & Wang, Q. (2012). E-government: Public participation and ethical issues. Journal of E-Governance, 35(4), 195–204. http://dx.doi.org/10.3233/GOV-2012-0320
Gefen, D. (2000). E-commerce: The role of familiarity and trust. Omega, 28(6), 725-737. http://dx.doi.org/10.1016/S0305-0483(00)00021-9
Gefen, D., & Keil, M. (1998). The impact of developer responsiveness on perceptions of usefulness and ease of use: An extension of the technology acceptance model. ACM SIGMIS Database, 29(2), 35-49. https://doi.org/10.1145/298752.298757
Gefen, D., Karahanna, E., & Straub, D. W. (2003). Trust and TAM in online shopping: An integrated model. MIS Quarterly, 27(1), 51-90. http://dx.doi.org/10.2307/30036519
Gürkut, C., & Nat, M. (2018). Important factors affecting student information system quality and satisfaction. Eurasia Journal of Mathematics, Science and Technology Education,, 14(3), 923-932. https://doi.org/10.12973/ejmste/81147
Hair, F. Jr, Sarstedt, M., Hopkins, L., & Kuppelwieser, V. (2014). Partial least squares structural equation modeling (PLS-SEM). European Business Review, 26(2), 106-121. https://doi.org/10.1108/EBR-10-2013-0128
Harridge‐March, S. (2006). Can the building of trust overcome consumer perceived risk online? Marketing Intelligence and Planning, 24(7), 746-761. http://dx.doi.org/10.1108/02634500610711897
Hsu, C. L., & Lu, H. P. (2004). Why do people play on-line games? An extended TAM with social influences and flow experience. Information and Management, 41(7), 853-868. https://doi.org/10.1016/j.im.2003.08.014
Hsu, M. K., Wang, S. W., & Chiu, K. K. (2009). Computer attitude, statistics anxiety and self-efficacy on statistical software adoption behavior: An empirical study of online MBA learners. Computers in Human Behavior, 25(2), 412-420. https://www.academia.edu/5654480/Computer_attitude_statistics_anxiety_and_self_efficacy_on_statistical_software_adoption_behavior_An_empirical_study_of_online_MBA_learners
Ismail, M., Çelebi, E., & Nadiri, H. (2019). How student information system influence students’ trust and satisfaction towards the university? An empirical study in a multicultural environment. IEEE Access, 7, 111778-111789. https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8794811
Karjaluoto, H., Mattila, M., & Pento, T. (2002). Factors underlying attitude formation towards online banking in Finland. International Journal of Bank Marketing, 20(6), 261-272. http://dx.doi.org/10.1108/02652320210446724
Kettinger, W. J., & Lee, C. C. (1994). Perceived service quality and user satisfaction with the information services function. Decision Sciences, 25(5–6), 737-766. https://doi.org/10.1111/j.1540-5915.1994.tb01868.x
King, W. R., & He, J. (2005). External validity in IS survey research. Communications of the Association for Information Systems, 16(1), 880-884. http://dx.doi.org/10.17705/1CAIS.01645
Lederer, A. L., Maupin, D. J., Sena, M. P., & Zhuang, Y. (2000). The technology acceptance model and the World Wide Web. Decision Support Systems, 29(3), 269-282. https://doi.org/10.1016/S0167-9236(00)00076-2
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 and Management, 42(8), 1095-1104. https://www.academia.edu/3166789/Acceptance_of_Internet-based_learning_medium_the_role_of_extrinsic_and_intrinsic_motivation
Lee, M. K. O., & Turban, E. (2001). A trust model for consumer internet shopping. International Journal of Electronic Commerce, 6(1), 75-91. https://doi.org/10.1080/10864415.2001.11044227
Masrom, M. A., Skitmore, M., & Bridge, A. (2013). Determinants of contractor satisfaction. Construction Management and Economics, 31(7), 761-779. http://dx.doi.org/10.1080/01446193.2013.814919
McKnight, D. H., & Chervany, N. L. (2001). What trust means in e-commerce customer relationships: An interdisciplinary conceptual typology. International Journal of Electronic Commerce, 6(2), 35-59. https://doi.org/10.1080/10864415.2001.11044235
Moon, J.-W., & Kim, Y.-G. (2001). Extending the TAM for a World-Wide-Web context. Information and Management, 38(4), 217-230. https://doi.org/10.1016/S0378-7206(00)00061-6
Morgan, R. M., & Hunt, S. D. (1994). The commitment-trust theory of relationship marketing. Journal of Marketing, 58(3), 20-38. http://dx.doi.org/10.2307/1252308
Mou, J., Shin, D. H., & Cohen, J. (2017). Understanding trust and perceived usefulness in the consumer acceptance of an e-service: A longitudinal investigation. Behaviour and Information Technology, 36(2), 125-139. https://doi.org/10.1080/0144929X.2016.1203024
Negash, S., Ryan, T., & Igbaria, M. (2003). Quality and effectiveness in web-based customer support systems. Information and Management, 40(8), 757–768. https://doi.org/10.1016/S0378-7206(02)00101-5
Özdamar, Ş., Roden, M. F., & Billor, M. Z. (2017). Petrology of the shoshonitic Çambaşı pluton in NE Turkey and implications for the closure of the Neo-Tethys Ocean: Insights from geochemistry, geochronology and Sr– Nd isotopes. Lithos, 284–285, 477-492. http://doi.org/10.1016/j.lithos.2017.04.025
Park, S. Y. (2009). An analysis of the technology acceptance model in understanding university students’ behavioral intention to use e-learning. Journal of Educational Technology and Society, 12(3), 150-162. https://www.jstor.org/stable/jeductechsoci.12.3.150
Piriyakul, M., Piriyakul, R., Chuachareon, O., Boonyoung, M., Piriyakul, P., & Piriyakul, I. (2015). Effects of trust, satisfaction and factors corresponding to TAM on intention to reuse internet business transaction. International Review of Management and Business Research, 4(3), 344-358. https://www.irmbrjournal.com/paper_details.php?id=474
Redecker, C., & Johannessen, Ø. (2013). Changing assessment - Towards a new assessment paradigm using ICT. European Journal of Education, 48(1), 7996. https://doi.org/10.1111/ejed.12018
Ringle, C. M., Wende, S., & Becker, J. M. (2015). SmartPLS (3) [Computer software]. Bönningstedt.
Seddon, T. (1997). Education: Deprofessionalised? Or reregulated, reorganised and reauthorised? Australian Journal of Education, 41(3), 228-246. https://doi.org/10.1177%2F000494419704100303
Selim, H. M. (2003). An empirical investigation of student acceptance of course websites. Computers and Education, 40(4), 343-360. https://doi.org/10.1016/S0360-1315%2802%2900142-2
So, M. W. C., & Sculli, D. (2002). The role of trust, quality, value and risk in conducting e‐business. Industrial Management and Data Systems, 102(9), 503-512. https://doi.org/10.1108/02635570210450181
Subramanian, G. H. (1994). A replication of perceived usefulness and perceived ease of use measurement. Decision Sciences, 25(5–6), 863-874. http://test.scripts.psu.edu/users/g/h/ghs2/replicationdecisionsciencespaper.pdf
Suki, N. M., & Ramayah, T. (2010). User acceptance of the e-government services in Malaysia: Structural equation modelling approach. Interdisciplinary Journal of Information, Knowledge and Management, 5(1), 395-413. https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.464.2199&rep=rep1&type=pdf
Suki, N. M., Ramayah, T., & Suki, N. M. (2008). Internet shopping acceptance. Direct marketing. Anais an International Journal, 2(2), 97-110. https://doi.org/10.1108/17505930810881752
Şahin, A., Kitapçi, H., & Zehir, C. (2013). Creating commitment, trust and satisfaction for a brand: What is the role of switching costs in mobile phone market? Procedia - Social and Behavioral Sciences, 99(6), 496-502. http://doi.org/10.1016/j.sbspro.2013.10.518
Taylor, S., & Todd, P. A. (1995). Understanding information technology usage: A test of competing models. Information Systems Research, 6(2), 144-176. http://home.business.utah.edu/actme/7410/taylortodd.pdf
Teo, T. (2009). Modelling technology acceptance in education: A study of pre-service teachers. Computers and Education, 52(2), 302-312. http://dx.doi.org/10.1016/j.compedu.2008.08.006
Teo, T. (2010a). An empirical study to validate the Technology Acceptance Model (TAM) in explaining the intention to use technology among educational users. International Journal of Information and Communication Technology Education, 6(4), 1-12. http://dx.doi.org/10.4018/jicte.2010100101
Teo, T. (2010b). A path analysis of pre-service teachers’ attitudes to computer use: Applying and extending the technology acceptance model in an educational context. Interactive Learning Environments, 18(1), 65-79. https://doi.org/10.1080/10494820802231327
Teo, T. S. H., Lim, G. S., & Fedric, S. A. (2007). The adoption and diffusion of human resources information systems in Singapore. Asia Pacific Journal of Human Resources, 45(1), 44-62. https://doi.org/10.1177/1038411107075402
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. https://onlinelibrary.wiley.com/doi/epdf/10.1111/j.1540-5915.1996.tb00860.x
Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186-204. http://doi.org/10.1287/mnsc.46.2.186.11926
Waheed, M., & Jam, F. A. (2010). Teacher’s intention to accept online education: Extended TAM model. Interdisciplinary Journal of Contemporary Research in Business, 2(5), 330-344. https://www.researchgate.net/profile/Mehwish-Waheed/publication/291769213_Teacher's_intention_to_accept_online_education_Extended_TAM_model/links/5b6d86fb299bf14c6d98a8f1/Teachers-intention-to-accept-online-education-Extended-TAM-model.pdf
Wixom, B. H., & Todd, P. A. (2005). A theoretical integration of user satisfaction and technology acceptance. Information Systems Research, 16(1), 85-102. http://doi.org/10.1287/isre.1050.0042
Wu, J. H., Tennyson, R. D., & Hsia, T. L. (2010). A study of student satisfaction in a blended e-learning system environment. Computers and Education, 55(1), 155-164. https://www.academia.edu/3185101/A_study_of_student_satisfaction_in_a_blended_e_learning_system_environment
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