Profiling of User Satisfaction Level toward Ciputra Information System (CIS)

Abstract

This study aims to determine the average level of user satisfaction toward an information system named Ciputra Information System (CIS) which used by Universitas Ciputra on daily basis. There five dimensions used in this study to measure the satisfaction level of users toward CIS; which is Competence of e-Service Support Staff, System availability, Service Portfolio, Responsiveness, and Reliability. The analytical tool used in this study is descriptive statistics and supported by phenomenology. The population in this study are clustered in three group; they are students, lecturers, and operational staffs. The cluster sampling method are used for the clustered population to obtain the statistics data through the questionnaire. The level of satisfaction for each sample group is 3.99 for students, 3,705 for lecturers, and 3,838 for non-lecturer staff with an overall average score of 3,844. There are only two factors that get an average above 4,0; namely Competence of e-Service Support Staff and System availability.


Keywords: Satisfaction Level; Information System (IS); IS Performance

References
[1] Ahmed, A. A., Abu-Naser, S. S., El Talla, S. A., & Al Shobaki, M. J. (2018). The Impact of Information Technology Used on the Nature of Administrators Work at Al-Azhar University in Gaza.

[2] Melin, U., & Axelsson, K. (2016). Action in action research. Journal of Systems and Information Technology, 18(2), 118–147. DOI: 10.1108/jsit-10-2015-0074

[3] DeLone, W.H. and McLean, E.R. (1992). Information systems success: the quest for the dependent variable. Information Systems Research, Vol. 3 No. 1, pp. 60–95.

[4] DeLone, W.H. and McLean, E.R. (2003). The DeLone and McLean model of information systems success: a ten-year update. Journal of Management Information Systems, Vol. 19 No. 4, pp. 9–30.

[5] Gao, L., & Bai, X. (2014). An empirical study on continuance intention of mobile social networking services. Asia Pacific Journal of Marketing and Logistics, 26(2), 168–189. DOI: 10.1108/apjml-07-2013- 0086

[6] Chaveesuk, S., Wutthirong, P., & Chaiyasoonthorn, W. (2018). The Model of Mobile Payment System Acceptance on Social Networks in Thailand: A Conceptual Framework. In Proceedings of the 2018 10th International Conference on Information Management and Engineering. (pp. 35–39). ACM.

[7] Teo, T. (2009). Evaluating the Intention to Use Technology among Student Teachers: A Structural Equation Modeling Approach. International Journal of Technology in Teaching & Learning, 5(2).

[8] Martinc, M., Skrjanec, I., Zupan, K., & Pollak, S. (2017). PAN 2017: Author Profiling-Gender and Language Variety Prediction. In CLEF (Working Notes).

[9] Laihonen, H., Jääskeläinen, A., & Pekkola, S. (2014). Measuring performance of a service system – from organizations to customer-perceived performance. Measuring Business Excellence,18(3), 73–86. DOI: 10.1108/mbe-08-2013-0045

[10] Ayo, C. K., Oni, A. A., Adewoye, O. J., & Eweoya, I. O. (2016). E-banking users’ behaviour: e-service quality, attitude, and customer satisfaction. International Journal of Bank Marketing, 34(3), 347–367. DOI: 10.1108/ijbm-12-2014-0175

[11] Lanigan, R. L. (2015). Human embodiment. Metodo. International Studies in Phenomenology and Philosophy, 3.1(1), 257–287. DOI: 10.19079/metodo.3.1.257

[12] Yuen, K. F., & Thai, V. V. (2015). Service quality and customer satisfaction in liner shipping. International Journal of Quality and Service Sciences, 7(2/3), 170–183. DOI: 10.1108/ijqss-02-2015-0024

[13] Atyang, F., Gathumbi, A., & Babusa, H. (2018). School Management and Technical Support to Teachers and Students in the Integration of ICT in Teaching/Learning English Language. Advances in Social Sciences Research Journal, 5(7).

[14] Toloo, M., Nalchigar, S., & Sohrabi, B. (2018). Selecting most efficient information system projects in presence of user subjective opinions: a DEA approach. Central European Journal of Operations Research, 26(4), 1027–1051.