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Vol. 10, No. 3, August 2025

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Integrating ISSM and SCT into the TAM Framework: A Conceptual Model and Empirical Study on E-Government Services

https://doi.org/10.22219/kinetik.v10i3.2224
Beny Prasetyo
University of Jember
Rindi Ayuningtiyas
University of Jember
Fahrobby Adnan
University of Jember

Corresponding Author(s) : Beny Prasetyo

beny.pssi@unej.ac.id

Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control, Vol. 10, No. 3, August 2025

Abstract

Proposing and developing the right model is necessary to increase the effectiveness and success of e-government service implementation. Combining models highlighting technological aspects and psychological issues can generate satisfaction and improve service quality. This research develops and tests a combination of the Information System Success Model (ISSM), Technology Acceptance Model (TAM), and Social Cognitive Theory (SCT). This research is expected to determine the results of the fit model test of the proposed model developed and empirically test the factors that significantly affect the success of e-government through satisfaction. To validate the conceptual model using PLS-SEM. The type of research conducted is Quantitative research. The sample used to test the model was SiKeren service users in the Jember Regency Government, totaling 260 samples determined using Hair's theory and probability sampling techniques, especially simple random sampling. The results of this study indicate that the proposed model is suitable. The Standardized Root Mean Square Residual (SRMR) value of 0.070 or < 0.08 indicates that the model is considered to be supported by the measured data. The Goodness of Fit (GoF) value is 0.686, indicating a high match between the observed data and the developed model. The model captures the R-Square value of Perceived Ease of Use, Perceived Usefulness, and Satisfaction well by the model, having medium criteria with values of 0.595, 0.724, and 0.606. Of the 16 hypotheses proposed, 12 were accepted and 4 were rejected. This study found that Perceived Ease of Use and Perceived Usefulness are influenced by the constructs of the IS success model, except that the system quality variable on Perceived Usefulness is not significant. This study also found that TAM factors influence computer self-efficacy and satisfaction significantly. The anxiety variable is not significant to the TAM factor and the cognitive theory of Computer Self-Efficacy. The overall relationship between the variables analyzed has a small effect size.

Keywords

E-Government ISSM TAM SCT
Prasetyo, B., Ayuningtiyas, R., & Adnan, F. (2025). Integrating ISSM and SCT into the TAM Framework: A Conceptual Model and Empirical Study on E-Government Services. Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control, 10(3). https://doi.org/10.22219/kinetik.v10i3.2224
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References
  1. Alkraiji, A. I. (2020). Citizen Satisfaction with Mandatory E-Government Services: A Conceptual Framework and an Empirical Validation. IEEE Access, 8, 117253–117265. https://doi.org/10.1109/ACCESS.2020.3004541
  2. Alruwaie, M., El-Haddadeh, R., & Weerakkody, V. (2020). Citizens’ continuous use of eGovernment services: The role of self-efficacy, outcome expectations, and satisfaction. Government Information Quarterly, 37(3), 101485. https://doi.org/10.1016/j.giq.2020.101485
  3. Kaushik, K., & Mishra, R. (2019). Predictors of E-government adoption in India: Direct and indirect effects of technology anxiety and information quality. International Journal of Business Information Systems, 31(3), 305–321. https://doi.org/10.1504/IJBIS.2019.101109
  4. 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
  5. Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319. https://doi.org/10.2307/249008
  6. Compeau, D. R., & Higgins, C. A. (1995). Computer Self-Efficacy: Measure And Initial Development Of A Test. MIS Quarterly, 19(2), 189–211. https://www.astm.org/Standards/E2368.htm
  7. Hair, J. F., Hult, G. T. M., M.Ringle, C., & Sarstedt, M. (2017). A Primer on Partial Least Squares Structural Equation Modeling. In Long Range Planning. https://doi.org/10.1016/j.lrp.2013.01.002
  8. Sugiyono. (2013). METODE PENELITIAN KUANTITATIF, KUALITATIF DAN R & D. CV Alfabeta.
  9. Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ: Lawrence Earlbaum Associates
  10. Al-Rahmi, W. M., Uddin, M., Alkhalaf, S., Al-Dhlan, K. A., Cifuentes-Faura, J., Al-Rahmi, A. M., & Al-Adwan, A. S. (2022). Validation of an Integrated IS Success Model in the Study of E-Government. Mobile Information Systems, 2022. https://doi.org/10.1155/2022/8909724
  11. Hidayat Ur Rehman, I., Ali Turi, J., Rosak-Szyrocka, J., Alam, M. N., & Pilař, L. (2023). The role of awareness in appraising the success of E-government systems. Cogent Business and Management, 10(1). https://doi.org/10.1080/23311975.2023.2186739
  12. Zhu, X., & Cheng, X. (2022). Staying connected: smartphone acceptance and use level differences of older adults in China. Universal Access in the Information Society, 23(1), 203–212. https://doi.org/10.1007/s10209-022-00933-4
  13. Liu, N., & Pu, Q. (2020). Factors influencing learners’ continuance intention toward one-to-one online learning. Interactive Learning Environments, 0(0), 1–22. https://doi.org/10.1080/10494820.2020.1857785
  14. Albashrawi, M., & Alashoor, T. (2020). Entrepreneurial intention: The impact of general computer self-efficacy and computer anxiety. Interacting with Computers, 32(2), 118–131. https://doi.org/10.1093/iwc/iwaa009
  15. Almaiah, M. A., Alfaisal, R., Salloum, S. A., Hajjej, F., Thabit, S., El-Qirem, F. A., Lutfi, A., Alrawad, M., Al Mulhem, A., Alkhdour, T., Awad, A. B., & Al-Maroof, R. S. (2022). Examining the Impact of Artificial Intelligence and Social and Computer Anxiety in E-Learning Settings: Students’ Perceptions at the University Level. Electronics (Switzerland), 11(22), 1–22. https://doi.org/10.3390/electronics11223662
  16. Prasetyo, Y. T., Ong, A. K. S., Concepcion, G. K. F., Navata, F. M. B., Robles, R. A. V., Tomagos, I. J. T., Young, M. N., Diaz, J. F. T., Nadlifatin, R., & Redi, A. A. N. P. (2021). Determining factors affecting acceptance of e-learning platforms during the COVID-19 pandemic: Integrating extended technology acceptance model and Delone & Mclean is a success model. Sustainability (Switzerland), 13(15), 1–16. https://doi.org/10.3390/su13158365
  17. Salloum, S. A., Qasim Mohammad Alhamad, A., Al-Emran, M., Abdel Monem, A., & Shaalan, K. (2019). Exploring students’ acceptance of e-learning through the development of a comprehensive technology acceptance model.IEEE Access, 7, 128445–128462. https://doi.org/10.1109/ACCESS.2019.2939467
  18. Jo, H. (2022). Antecedents of Continuance Intention of Social Networking Services (SNS): Utilitarian, Hedonic, and Social Contexts. Mobile Information Systems, 2022. https://doi.org/10.1155/2022/7904124
  19. Alzahrani, L., & Seth, K. P. (2021). Factors influencing students’ satisfaction with continuous use of learning management systems during the COVID-19 pandemic: An empirical study. Education and Information Technologies, 26(6), 6787–6805. https://doi.org/10.1007/s10639-021-10492-5
  20. Gurban, M. A., & Almogren, A. S. (2022). Students’ Actual Use of E-Learning in Higher Education During the COVID-19 Pandemic. SAGE Open, 12(2). https://doi.org/10.1177/21582440221091250
  21. Kao, C. P., Lin, K. Y., Chien, H. M., & Chen, Y. T. (2020). Enhancing volunteers’ intention to engage in citizen science: The roles of self-efficacy, satisfaction and science trust. Journal of Baltic Science Education, 19(2), 234–246. https://doi.org/10.33225/jbse/20.19.234
  22. Zhu, X., & Cheng, X. (2022). Staying connected: smartphone acceptance and use level differences of older adults in China. Universal Access in the Information Society, 23(1), 203–212. https://doi.org/10.1007/s10209-022- 00933-4
  23. Alkraiji, A. I. (2020). An examination of citizen satisfaction with mandatory e-government services : comparison of two information systems success models. https://doi.org/10.1108/TG-01-2020-0015
  24. Alturki, U., & Aldraiweesh, A. (2023). An Empirical Investigation into Students’ Actual Use of MOOCs in Saudi Arabia Higher Education. Sustainability (Switzerland), 15(8). https://doi.org/10.3390/su15086918
  25. Li, X., Wang, X., & Wei, C. (2022). Antecedents of continuance intention in online learning systems among vocational college students: The moderating effect of gender. Frontiers in Psychology, 13(December), 1–17. https://doi.org/10.3389/fpsyg.2022.1088270
  26. Al-Fraihat, D., Joy, M., Masa’deh, R., & Sinclair, J. (2020). Evaluating E-learning systems success: An empirical study. Computers in Human Behavior, 102(March 2019), 67–86. https://doi.org/10.1016/j.chb.2019.08.004
  27. Nookhao, S. and Kiattisin, S. (2023) ‘Achieving a successful e-government: Determinants of behavioral intention from Thai citizens’ perspective’, Heliyon, 9(8), p. e18944. doi: 10.1016/j.heliyon.2023.e18944.
  28. DeLone, W. H., & McLean, E. R. (1992). Information systems success: The quest for the dependent variable. Information Systems Research, 3(1), 60–95. https://doi.org/10.1287/isre.3.1.60
  29. Park, N., Roman, R., Lee, S., & Chung, J. E. (2009). User acceptance of a digital library system in developing countries: An application of the Technology Acceptance Model. International Journal of Information Management, 29(3), 196–209. https://doi.org/10.1016/j.ijinfomgt.2008.07.001
  30. Alturki, U., & Aldraiweesh, A. (2023). An Empirical Investigation into Students’ Actual Use of MOOCs in Saudi Arabia Higher Education. Sustainability (Switzerland), 15(8). https://doi.org/10.3390/su15086918
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