Factors Affecting the Successful Implementation of E-Government on Network Documentation and Legal Information Website in Riau

Authors

  • Muhammad Ikhsan Wibowo Universitas Atma Jaya Yogyakarta
  • Albertus Joko Santoso Universitas Atma Jaya Yogyakarta
  • Djoko Budiyanto Setyohadi Universitas Atma Jaya Yogyakarta

DOI:

https://doi.org/10.21512/commit.v12i1.4361

Keywords:

Information System, DeLone and McLean Model, Unified Theory Acceptance and Use of Technology (UTAUT), E-GovernmentInformation System, E-Government

Abstract

Network documentation and legal information website is a form of e-government applications such as Jaringan Dokumentasi dan Informasi Hukum (JDIH). JDIH website must be designed to be an effective and efficient information system. This study aims to determine the success factors of the implementation of JDIH website. The DeLone and McLean model and the Unified Theory Acceptance and Use of Technology (UTAUT) are the models used in this study. The case study is conducted in the Riau legal and human rights office. Data are obtained through questionnaires from 252 respondents in the Riau provincial government and some communities. The analysis uses Structural Equation Modeling (SEM) and Analysis of Moment Structure (AMOS). The results of this study show that nine hypotheses have positive effects. Meanwhile, four hypotheses have no positive effects on the success and use of JDIH website. The findings of this research will be used as a reference in
the development of JDIH website in the future.

Dimensions

Plum Analytics

References

A. A. A. AL Athmay, K. Fantazy, and V. Kumar, “E-government adoption and users satisfaction: An empirical investigation,” EuroMed Journal of Business, vol. 11, no. 1, pp. 57–83, 2016.

J. F. Affisco and K. S. Soliman, “E-government: A strategic operations management framework for service delivery,” Business Process Management Journal, vol. 12, no. 1, pp. 13–21, 2006.

L. Torres, V. Pina, and B. Acerete, “Egovernment developments on delivering public services among eu cities,” Government Information Quarterly, vol. 22, no. 2, pp. 217–238, 2005.

E. Ziemba, T. Papaj, and M. Jadamus-Hacura, “Adopting state and local e-government: Empirical evidence from poland,” in Proc Proceedings of the 16th European Conference on e-Government, ed. by M. Deˇcman and T. Juki´c, Slovenia, vol. 1, 2016, pp. 255–264.

M. N. Ucok and A. Lawi, “Kakas kolaborasi e-government berbasis cloud computing,” Jurnal Sain dan Teknologi, vol. 3, no. 1, pp. 87–91, 2014.

M. Gupta and D. Jana, “E-government evaluation: A framework and case study,” Government information quarterly, vol. 20, no. 4, pp. 365–387, 2003.

W. H. Delone and E. R. McLean, “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, 2003.

V. Venkatesh, M. G. Morris, G. B. Davis, and F. D. Davis, “User acceptance of information technology: Toward a unified view,” MIS quarterly, pp. 425–478, 2003.

V. Khayun and P. Ractham, “Measuring e-excise tax success factors: Applying the DeLone & McLean information systems success model,” in 44th Hawaii International Conference on System Sciences (HICSS). IEEE, 2011, pp. 1–10.

M. Scott, W. DeLone, and W. Golden, “Measuring egovernment success: A public value approach,” European Journal of Information Systems, vol. 25, no. 3, pp. 187–208, 2016.

K. R. Ulhas, J. Wang, and J.-Y. Lai, “Impacts of collaborative information systems quality on software development success in Indian software firms,” in Portland International Conference on Management of Engineering and Technology (PICMET). IEEE, 2015, pp. 1377–1386.

S. Mardiana, “An integrated framework for measuring information system success considering the impact of culture in Indonesia,” in 1st International Conference on Information Technology, Computer and Electrical Engineering (ICITACEE). IEEE, 2014, pp. 226–232.

A. Susanto, R. B. Bahaweres, and H. Zo, “Exploring the influential antecedents of actual use of internet banking services in Indonesia,” in IEEE Conference on Control, Systems & Industrial Informatics (ICCSII). IEEE, 2012, pp. 244–249.

G. Iskender and S. O¨ zkan, “E-government transformation

success: An assessment methodology and the preliminary results,” Transforming Government: People, Process and Policy, vol. 7, no. 3,

pp. 364–392, 2013.

S. Petter, W. DeLone, and E. McLean, “Measuring information systems success: models, dimensions, measures, and interrelationships,” European Journal of Information Systems, vol. 17, no. 3, pp. 236–263, 2008.

K. C. Lee and N. Chung, “Understanding factors affecting trust in and satisfaction with mobile banking in korea: A modified delone and mcleans model perspective,” Interacting with Computers, vol. 21, no. 5-6, pp. 385–392, 2009.

D. B. Setyohadi, M. Aristian, B. L. Sinaga, and N. A. A. Hamid, “social critical factors affecting intentions and behaviours to use e-learning: An empirical investigation using technology acceptance

model,” Asian Journal of Scientific Research, vol. 10, no. 4, pp. 271–280, 2017.

D. M. West, “E-government and the transformation of service delivery and citizen attitudes,” Public Administration Review, vol. 64, no. 1, pp. 15–27, 2004.

W. H. Delone and E. R. Mclean, “Measuring e-commerce success: Applying the DeLone & McLean information systems success model,” International Journal of Electronic Commerce,

vol. 9, no. 1, pp. 31–47, 2004.

W. H. DeLone and E. R. McLean, “Information systems success: The quest for the dependent variable,” Information Systems Research, vol. 3, no. 1, pp. 60–95, 1992.

M. Zviran and Z. Erlich, “Measuring is user satisfaction:

review and implications,” Communications of the Association for Information Systems, vol. 12, no. 1, p. 5, 2003.

K. A. Fantazy, V. Kumar, and U. Kumar, “Supply management practices and performance in the canadian hospitality industry,” International Journal of Hospitality Management, vol. 29, no. 4, pp.

–693, 2010.

Y. P. Gupta and T. M. Somers, “Business strategy, manufacturing flexibility, and organizational performance relationships: a path analysis approach,” Production and Operations Management, vol. 5, no. 3, pp. 204–233, 1996.

R. J. Vokurka and S.W. O’Leary-Kelly, “A review of empirical research on manufacturing flexibility,” Journal of Operations Management, vol. 18, no. 4, pp. 485–501, 2000.

R. C. MacCallum, M. W. Browne, and H. M. Sugawara, “Power analysis and determination of sample size for covariance structure modeling.” Psychological methods, vol. 1, no. 2, p. 130, 1996.

J. F. Hair, W. C. Black, B. J. Babin, R. E. Anderson, and R. L. Tatham, Multivariate data analysis. Upper Saddle River, NJ: Prentice hall, 1998.

L. T. Hu and P. M. Bentler, “Fit indices in covariance structure modeling: Sensitivity to underparameterized model misspecification.” Psychological methods, vol. 3, no. 4, p. 424, 1998.

M. D. Williams, N. P. Rana, and Y. K. Dwivedi, “A bibliometric analysis of articles citing the unified theory of acceptance and use of technology,” in Information Systems Theory. Springer, 2012, pp. 37–62.

P. Raeth, S. Smolnik, N. Urbach, and C. Zimmer, “Towards assessing the success of social software in corporate environments,” AMCIS 2009 Proceedings, p. 662, 2009.

Y. S. Wang, “Assessing e-commerce systems success: a respecification and validation of the delone and mclean model of is success,” Information Systems Journal, vol. 18, no. 5, pp. 529–557,

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Published

2018-05-31
Abstract 2022  .
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