Author
Miftachul Cahyanti(1
(1) Faculty of Social Science and Political Science, University of Airlangga Surabaya,
(2) Faculty of Social Science and Political Science, University of Airlangga Surabaya,
(3) Faculty of Social Science and Political Science, University of Airlangga Surabaya,
(4) Faculty of Social Science and Political Science, University of Airlangga Surabaya,
(5) Faculty of Social Science and Political Science, University of Airlangga Surabaya,
(6) Faculty of Social Science and Political Science, University of Airlangga Surabaya,
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Available online: 2024-12-07 | Published : 2024-12-07
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Abstract
This research involves students from Universitas Airlangga to analyze the impact of service system design and flow experience on user satisfaction with the National Health Insurance (JKN) mobile application. The aim of this study is to examine the influence of service system design and flow experience on user satisfaction with the JKN mobile application. This research employs a descriptive quantitative approach, with data collection techniques using questionnaires. The study population consists of Universitas Airlangga students who use the JKN mobile application, with a sample size of 70 respondents. Data analysis was conducted using validity and reliability tests, autocorrelation test (Durbin-Watson test), heteroscedasticity test (Scatterplot), normality test (Kolmogorov-Smirnov test), multiple linear regression analysis, and hypothesis testing.This research is based on two main theories, namely those of Berry et al. (2006), which states that service system design affects user satisfaction in online sites, and DeLone & McLean (2003), which asserts that flow experience also influences user satisfaction in online sites. The analysis results show a positive and significant relationship between service system design and flow experience with user satisfaction of the JKN mobile application, as indicated by the T-test results.
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References
Akhavan, F., & Hassannayebi, E. (2024). A Hybrid Machine Learning with Process Analytics for Predicting Customer Experience in Online Insurance Services Industry. Decision Analytics Journal, 11, 2-4. https://doi.org/https://doi.org/10.1016/j.dajour.2024.100452.
Alshurideh, M. T. (2016). Exploring the Main Factors Affecting Consumer Choice of Mobile Phone Service Provider Contracts. International Journal of Communications, Network and System Sciences, 09(12), 563-581. https://doi.org/10.4236/ijcns.2016.912044
Arghashi, V., & Yuksel, C. A. (2022). Interactivity, Inspiration, and Perceived Usefulness! How retailers' AR-apps improve consumer engagement through flow. Journal of Retailing and Consumer Services, 64 (August 2021), 102756. https://doi.org/10.1016/j.jretconser.2021.102756
Bagozzi, R. P., & Dholakia, U. (1999). Goal Setting and Goal Striving in Consumer Behavior. Journal of Marketing, 63(4_suppl1), 19-32. https://doi.org/10.1177/00222429990634s104
Baines, T. S., Lightfoot, H. W., Evans, S., Neely, A., Greenough, R., Peppard, J., Roy, R., Shehab, E., Braganza, A., Tiwari, A., Alcock, J. R., Angus, J. P., Basti, M., Cousens, A., Irving, P., Johnson, M., Kingston, J., Lockett, H., Martinez, V., ... Wilson, H. (2007). State-of-the-art in product-service systems. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 221(10), 1543-1552. https://doi.org/10.1243/09544054JEM858
Berry, L. L., Wall, E. A., & Carbone, L. P. (2006). Service clues and customer assessment of the service experience: Lessons from marketing. Academy of Management Perspectives, 20(2), 43-57. https://doi.org/10.5465/AMP.2006.20591004
Chase, R. B., & Dasu, S. (2001). Want to Perfect Your Company's Service? Use Behavioral Science. June. https://hbr.org/2001/06/want-to-perfect-your-companys-service-use-behavioral-science
Csikszentmihalyi, M., Row, & Harper. (1990). Flow: The Psychology of Optimal Experience. Academy of Management Review, 16(3), 636-640. https://doi.org/10.5465/amr.1991.4279513
Ding, D. X., Hu, P. J. H., Verma, R., & Wardell, D. G. (2010). The impact of service system design and flow experience on customer satisfaction in online financial services. Journal of Service Research, 13(1), 96-110. https://doi.org/10.1177/1094670509350674
Efendy, I., Nyorong, M., Amirah, A., & Sari, F. (2022). National Health Insurance (JKN) Mobile Application Use Towards Satisfaction of Participants of the Health Social Security Implementing Agency (BPJS) in Madani Hospital in Medan City. Journal of Medical and Health Studies, 3(1), 26-34. https://doi.org/10.32996/jmhs.2022.3.1.4
Gobena, A. G. (2019). The Impact of Service Quality on Customer Satisfaction: A Case Study on Nekemte Municipality, Oromia Region, Ethiopia. Annals of Social Sciences & Management Studies, 4(1). https://doi.org/10.19080/asm.2019.04.555629
Goetsch, D., & Davis, S. (2019). Quality Management For Organizational Excellence: Introduction to Total Quality (8thth Edition). Prentice Hall International, Inc.
Hahnel, C., Goldhammer, F., Naumann, J., & Krhne, U. (2016). Effects of linear reading, basic computer skills, evaluating online information, and navigation on reading digital text. Computers in Human Behavior, 55, 486-500. https://doi.org/10.1016/j.chb.2015.09.042
Han, J. J. (2018). When Good Things Feel Closer and Bad Things Feel Farther: The Role of Perceived Control on Psychological Distance Perception. Journal of Consumer Psychology, 28(4), 629-643. https://doi.org/https://doi.org/10.1002/jcpy.1034
Harrati, N., Bouchrika, I., Tari, A., & Ladjailia, A. (2016). Exploring user satisfaction for e-learning systems via usage-based metrics and system usability scale analysis. Computers in Human Behavior, 61, 463-471. https://doi.org/10.1016/j.chb.2016.03.051
Hoffman, D. L., Kalsbeek, W. D., & Novak, T. P. (1996). Internet and Web Use in the U.S. Communications of the ACM, 39(12), 36-46. https://doi.org/10.1145/240483.240490
Morte-Nadal, T., & Esteban-Navarro, M. A. (2022). Digital Competences for Improving Digital Inclusion in E-Government Services: A Mixed-Methods Systematic Review Protocol. International Journal of Qualitative Methods, 21, 1-9. https://doi.org/10.1177/16094069211070935
Nelson, R. R., Todd, P. A., & Wixom, B. H. (2014). Antecedents of Information and System Quality: An Empirical Examination Within the Context of Data Warehousing Antecedents of Information and System Quality: An Empirical Examination. Journal of Management Information Systems, 21 (June 2015), 37-41. https://doi.org/10.1080/07421222.2005.11045823
Norawati, S., Arman, A., Ali, A., Ihsan, A., & Putra, E. (2021). Analysis of Product Variation, Quality of Service and Their Effect on Customer Satisfaction. IJEBD (International Journal of Entrepreneurship and Business Development), 4(6), 954-960. https://doi.org/10.29138/ijebd.v4i6.1554
Novak, T. P., Hoffman, D. L., & Yung, Y. F. (2000). Measuring the customer experience in online environments: A structural modeling approach. Marketing Science, 19(1), 22-42. https://doi.org/10.1287/mksc.19.1.22.15184
zhan, ?. ., & Kocadere, S. A. (2020). The Effects of Flow, Emotional Engagement, and Motivation on Success in a Gamified Online Learning Environment. Journal of Educational Computing Research, 57(8), 2006-2031. https://doi.org/10.1177/0735633118823159
Prasetiyo, R. A., & Safuan. (2022). Effectiveness of Using the JKN Mobile Application in Reducing Queues. Indonesian Scientific Journal, 7(2). https://doi.org/https://doi.org/10.36418/syntax-literate.v7i2.6338
Qalati, S. A., Vela, E. G., Li, W., Dakhan, S. A., Hong Thuy, T. T., & Merani, S. H. (2021). Effects of perceived service quality, website quality, and reputation on purchase intention: The mediating and moderating roles of trust and perceived risk in online shopping. Cogent Business and Management, 8(1). https://doi.org/10.1080/23311975.2020.1869363
See-To, E. W. K., Papagiannidis, S., & Cho, V. (2012). User experience on mobile video appreciation: How to engage users and to enhance their enjoyment in watching mobile video clips. Technological Forecasting and Social Change, 79(8), 1484-1494. https://doi.org/10.1016/j.techfore.2012.03.005
Wang, K. S., Yang, Y. Y., & Delgado, M. R. (2021). How perception of control shapes decision making. Current Opinion in Behavioral Sciences, 41, 85-91. https://doi.org/10.1016/j.cobeha.2021.04.003
Widiani, E., Kusuma, I. G. A. E. T., & Widnyana, I. W. (2022). Building BPJS Image, Public Trust and Intention to Use JKN Mobile Services During the Covid Pandemic. The Asian Journal of Technology Management (AJTM), 15(3), 187-209. https://doi.org/10.12695/ajtm.2022.15.3.1
Wu, I. L., Chiu, M. L., & Chen, K. W. (2020). Defining the determinants of online impulse buying through a shopping process of integrating perceived risk, expectation-confirmation model, and flow theory issues. International Journal of Information Management, 52 (May 2019), 102099. https://doi.org/10.1016/j.ijinfomgt.2020.102099
Wu, L. (2019). Website interactivity may compensate for consumers' reduced control in E-Commerce. Journal of Retailing and Consumer Services, 49 (July 2018), 253-266. https://doi.org/10.1016/j.jretconser.2019.04.003
Zheng, L., Miao, M., & Gan, Y. (2020). Perceived Control Buffers the Effects of the COVID-19 Pandemic on General Health and Life Satisfaction: The Mediating Role of Psychological Distance. Applied Psychology: Health and Well-Being, 12(4), 1095-1114. https://doi.org/10.1111/aphw.12232
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