Study of User Acceptance and Satisfaction of a Mandatory Government-Regulated Information System

Authors

  • Tony Wibowo Batam International University

DOI:

https://doi.org/10.21512/commit.v11i1.3896

Keywords:

DAPODIK System, UTAUT, Mandatory System, User Satisfaction

Abstract

This paper discusses the user acceptance of a mandatory government-regulated information system. The issue is investigated by using a modified UTAUT
framework. From random sample data of 65 respondents, a regression model is established from which the conclusion is drawn. The study concludes that the
aspects of performance expectancy, effort expectancy, social influence, and information system quality affect the user acceptance. The four aspects are equally important.

Dimensions

Plum Analytics

Author Biography

Tony Wibowo, Batam International University

Computer Science Department

References

S. E. Yudi and J. J. C. Tambotoh, “Analisis pemanfaatan teknologi informasi menggunakan pendekatan innovation and diffusion theory (idt) dan technology acceptance model (tam)(studi ka-sus: Disdikpora kota salatiga),” in In Seminar Na-sional Rekayasa Teknologi Industri dan Informasi ke-8, 2013, pp. 117–122.

A. Falahi, “Implementasi kebijakan sertifikasi guru di kota medan,” Kultura, vol. 15, no. 1, pp. 4428–4431, 2014.

F. Pai and K. Huang, “Applying the technology acceptance model to the introduction of health-care information systems,” Technological Fore-casting and Social Change, vol. 78, no. 4, pp. 650–660, 2011.

D. Y. Lee and M. R. Lehto, “User acceptance of youtube for procedural learning: An extension of the technology acceptance model,” Computers and Education, vol. 61, no. 1, pp. 193–208, 2013.

A. Caruana, A. L. Rocca, and I. Snehota, “Learner satisfaction in marketing simulation games: Antecedents and influencers,” Journal of Marketing Education, vol. 38, no. 12, pp. 1–12, 2016.

V. Venkatesh and H. Bala, “Technology accep-tance model 3 and a research agenda on inter-ventions,” Decision Sciences, vol. 39, no. 2, pp. 273–315, 2008.

N. Marangunic´ and A. Granic,´ “Technology ac-ceptance model: a literature review from 1986 to 2013,” Universal Access in the Information Society, vol. 14, no. 1, pp. 81–95, 2015.

V. Venkatesh, M. G. Morris, G. B. Davis, and F. D. Davis, “User acceptance of informa-tion technology: Toward a unified view,” MIS Qarterly, vol. 27, no. 3, pp. 425–478, 2003.

C. E. Koh, V. R. Prybutok, S. D. Ryan, and Y. Wu, “A model for mandatory use of software technologies: An integrative approach by apply-ing multiple levels of abstraction of information science,” Informing Science: The International Journal of an Emerging Transdiscipline, vol. 13, pp. 177–203, 2010.

W. H. DeLone and E. R. Mclean, “The delone and mclean model of information systems success: A ten-year update,” Journal of Management Infor-mation Systems, vol. 19, no. 4, pp. 9–30, 2003.

C. Bossen, L. G. Jensen, and F. W. Udsen, “Evaluation of a comprehensive ehr based on the delone and mclean model for is success: Approach, results, and success factors,” Interna-tional Journal of Medical Informatics, vol. 82, no. 10, pp. 940–953, 2013.

C. Bach, H. Bajwa, S. Belardo, P. Kantharaju, and P. Prasanth, “Factor analysis in measuring information systems,” in In Proceedings of the 2011 ASEE Northeast Section Annual Conference University of Hartford, 2011, pp. 213–228.

J. D. Xu, I. Benbasat, and R. T. Cenfetelli, “In-tegrating service quality with system and infor-mation quality: an empirical test in the e-service context,” MIS Quarterly, vol. 37, no. 3, pp. 777– 794, 2013.

Downloads

Published

2017-08-01
Abstract 745  .
PDF downloaded 812  .