Analyze Modified Extended Information Technology Continuance toward Continuance Intention of Administration Information System

Lusia Tria Hatmanti Hutami(1*)

(1) Universitas Sarjanawiyata Tamansiswa
(*) Corresponding Author


This study emphasizes the importance of the role of technology in the form of information systems in an educational service institution by using an information system application that is used by the academic community on a daily basis. The purpose of this study is to analyze post-usage usefulness and facilitating conditions through or not through satisfaction to achieve continuance intention related to Administrative Information Systems (SIA) at the Faculty of Economics, Universitas Sarjanawiyata Tamansiswa, Yogyakarta. This study uses a modification of the Extended Information Technology Continuance (ITC). This study uses AMOS 22 path analysis and a total sample of 343 students in accounting and management programs. The results showed that all hypotheses were accepted except for the direct effect of facilitating conditions toward continuance intention. These results strengthen the impact of satisfaction on continuance intention regarding the practice of using technology. The implication of the results indicates that the use of available information system applications, although satisfactory, must still be monitored and developed in order to ensure continued user satisfaction.


post-usage usefulness; facilitating condition; satisfaction; continuance intention; Extended ITC

Article metrics

Abstract views : 306 | views : 3

Full Text:



Amin, M., Rezaei, S., & Abolghasemi, M. (2014). User satisfaction with mobile websites: The impact of perceived usefulness (PU), perceived ease of use (PEOU) and trust. Nankai Business Review International, 5(3), 258–274.

Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation-confirmation model. MIS Quarterly: Management Information Systems, 25(3), 351–370.

Bhattacherjee, A., Perols, J., & Sanford, C. (2008). Information technology continuance: A theoretic extension and empirical test. Journal of Computer Information Systems, 49(1), 17–26.

Brown, S. P., & Person, R. A. (2013). Antecedents and consequence of salesperson job satisfaction: Meta-analysis and assessment of causal effects. Journal of Marketing Research, 30(1), 1–20.

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly: Management Information Systems, 13(3), 319–340.

Davis, F. D. (2013). Perceived usefulness, perceived ease of use, and user acceptance of information technology. IT Usefulness and Ease of Use, 13(3), 319–340.

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.

Hamidi, F., Meshkat, M., Rezaee, M., & Jafari, M. (2011). Information technology in education. Procedia Computer Science, 3, 369–373.

Heale, R., & Twycross, A. (2015). Validity and reliability in quantitative research. Evidance-Based Nursing, 18(3), 66–67.

Hinton, P. R., McMurray, I., & Brownlow, C. (2014). SPSS Explained. In SPSS Explained.

Istianingsih, & Utami, W. (2009). Pengaruh kepuasan pengguna sistem informasi terhadap kinerja individu (Studi empiris pada pengguna paket program aplikasi sistem informasi akuntansi di Indonesia). Seminar Nasional Akuntansi XII, 1–47.

Jogiyanto. (2008). Metodologi penelitian sistem informasi. Yogyakarta: ANDI Offset.

Juvelin, L., Wulani, F., & Amrullah, A. A. (2018). Influence of post-usage usefulness, self-efficacy and satisfaction towards continuance intention of T-Cash. Research Management and Accounting, 1(1).

Keen, P. G. W. (1980). MIS research: Reference disciplines and a cumulative tradition. Proceedings of the First International Conference on Information System, 9–18. Retrieved from

Lee, I., Choi, B., Kim, J., & Hong, S. J. (2007). Culture-technology fit: Effects of cultural characteristics on the post-adoption beliefs of mobile internet users. International Journal of Electronic Commerce, 11(4), 11–51.

Lee, M.-C. (2010). Explaining and predicting users’ continuance intention toward e-learning: An extension of the expectation-confirmation model. Computers and Education, 54(2), 506–516.

Limayem, M., Hirt, S. G., & Cheung, C. M. K. (2007). How habit limits the predictive power of intention: The case of information systems continuance. MIS Quarterly: Management Information Systems, 31(4), 705–737.

Lin, H. H., & Wang, Y. S. (2006). An examination of the determinants of customer loyalty in mobile commerce contexts. Information and Management, 43(3), 271–282.

Phuong, N. N. D., & Trang, T. T. D. (2018). Repurchase intention: The effect of service quality, system quality, information quality, and customer satisfaction as mediating role: A PLS approach of m-commerce ride hailing service in vietnam. Marketing and Branding Research, 5(2), 78–91.

Rezaei, S., Shahijan, M. K., Amin, M., & Khairu, W. (2016). Determinants of app tores continuance behavior: A PLS path modelling approach. Journal of Internet Commerce, 15(4), 408–440.

Susanto, A., Chang, Y., & Ha, Y. (2016). Determinants of continuance intention to use the smartphone banking services. Industrial Management & Data Systems, 116(508–525).

Thompson, R. L., & Higgins, C. A. (1991). Personal computing: Toward a conceptual model of utilization. MIS Quarterly: Management Information Systems, 15(1), 125–142.

Vehkalahti, K., Puntanen, S., & Tarkkonen, L. (2006). Estimation of reliability: a better alternative for Cronbach’s alpha. Retrieved from’s_alpha/links/54fffbd10cf2eaf210bcd2d7.pdf

Venkatesh, V., & Bala, H. (2008). Technology acceptance model 3 and a research agenda on interventions. Decision Sciences, 39(2), 273–315.

Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly: Management Information Systems, 27(3), 425–478.

Venkatesh, V., Thong, J. Y. L., Chan, F. K. Y., Hu, P. J. H., & Brown, S. A. (2011). Extending the two-stage information systems continuance model: Incorporating UTAUT predictors and the role of context. Information Systems Journal, 21(6), 527–555.

Vranesevic, T., Vignali, C., & Vignali, D. (2002). Culture in defining consumer satisfaction in marketing. European Business Review, 14(5), 364–374.

Wang, C.-S., Jeng, Y.-L., & Huang, Y.-M. (2010). What influences teachers to continue using cloud services? The role of facilitating conditions and social influence. The Eletronic Library, 34(1), 1–5.



  • There are currently no refbacks.

Copyright (c) 2022 Lusia Tria Hatmanti Hutami

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

This Journal has been listed and indexed in :

Copyright of Jurnal Inovasi Bisnis (p-ISSN : 2338-4840, e-ISSN : 2614-6983)

Creative Commons License
Inovbiz: Jurnal Inovasi Bisnis is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Editorial Office :
Pusat Penelitian dan Pengabdian kepada Masyarakat
 Politeknik Negeri Bengkalis 
Jl. Bathin alam, Sungai Alam Bengkalis-Riau 28711 

View Inovbiz Statistics