Modelling E-Government Maturity Determinants at the Local Level in Indonesia Using Technology-Organization-Environment Framework

Torontuan Keban Yeremias; Dian Cahyadi; Achmad Djunaedi

doi:10.22146/jsp.81803

Modelling E-Government Maturity Determinants at the Local Level in Indonesia Using Technology-Organization-Environment Framework

https://doi.org/10.22146/jsp.81803

Torontuan Keban Yeremias⁽¹⁾, Dian Cahyadi^(2*), Achmad Djunaedi⁽³⁾

(1) Department of Public Policy and Management, Faculty of Social and Political Sciences, Universitas Gadjah Mada, Indonesia
(2) The Graduate School of Universitas Gadjah Mada, Indonesia
(3) Department of Architecture and Planning Engineering, Faculty of Geography, Universitas Gadjah Mada, Indonesia
(*) Corresponding Author

Abstract

Local governments in Indonesia have adopted e-government, but the maturity has not met the expected target. The distribution of the achievement of the SPBE index (as a representation of e-government maturity in the context of Indonesia) with a bare minimum “Good” predicate centered on the island of Java raises questions regarding the determinants of success. Existing studies and models on the determinants of e-government maturity mainly focus on local governments in developed countries. This study aims to explore the determinants in the context of local government in developing countries by proposing a new model using the Technology- Organization-Environment (TOE) Framework and assessing the model. The model comprises eight determinants reflecting three variables: technology, organisation, and environment, which can influence the level of e-government maturity in Indonesia. The assessment applies the PLS- SEM multivariate analysis method involving 383 district/city governments in Indonesia in 2021. The results show that the proposed model has adequate validity and reliability, indicating that technology factors (technology and electricity infrastructure), organisational factors (innovative, finance and HR capacity), and environmental factors (human capital, human development, and community welfare) have a significant positive effect on e-government maturity. However, the assessment shows that the model quality measurement is only 31.9% accurate, which is considered weak. Model refinement by strengthening the organisational and environmental variables is needed, and fit-model testing is suggested for further research.

Keywords

digital government; digital transformation; public policy; SPBE

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References

Adu, K. K., Dube, L., & Adjei, E. (2016). Digital Preservation: The Conduit Through Which Open Data, Electronic Government and The Right to Information are Implemented. Library Hi Tech, 34(4), 733–747. https://doi.org/10.1108/LHT-07-2016-0078

Alexopoulos, C., Diamantopoulou, V., Lachana, Z., Charalabidis, Y., Androutsopoulou, A., & Loutsaris, M. A. (2019). How Machine Learning is Changing E-Government. PervasiveHealth: Pervasive Computing Technologies for Healthcare, Part F1481 (5), 354–363. ht t ps:/ / doi. org/10.1145/3326365.3326412

Alryalat, M. A. A., Rana, N. P., Sahu, G. P., Dwivedi, Y. K., & Tajvidi, M. (2017). Use of Social Media in Citizen-Centric Electronic Government Services: A Literature Analysis. International Journal of Electronic Government Research, 13(3), 55–79. https:// doi.org/10.4018/IJEGR.2017070104

Alshibly, H., Chiong, R., & Bao, Y. (2016). Investigating the Critical Success Factors for Implementing Electronic Document Management Systems in Governments: Evidence From Jordan. Information Systems Management, 33(4), 287–301. https://doi.org/10.1080/10580530.2016.1220213

Anshari, M., & Lim, S. A. (2017). E-Government with Big Data Enabled through Smartphone for Public Services: Possibilities and Challenges. International Journal of Public Administration, 40(13), 1143–1158. https://doi.org/10.1080/01900692.2016.1242619

Awaludin, L. (2019). Strategi Penguatan Kompetensi SDM Teknologi Informasi & Komunikasi (TIK) dalam Mengoptimalkan Penerapan Sistem Pemerintahan Berbasis Elektronik (SPBE). Paradigma POLISTAAT Jurnal Ilmu Sosial Dan Ilmu Politik, 2(2),
118–134. https:/ /doi.org/ 10.23969/paradigmapolistaat.v2i2.2115

Badan Pusat Statistik. (n.d.). https://www.bps. go.id/subject/26/indeks-pembangunan- manusia.html#subjekViewTab1

Baker, J. (2012). The Technology–Organization– Environment Framework. In Springer (pp. 231–245). https://doi.org/10.1007/978-1-4419-6108-2_12

Budding, T., Faber, B., & Gradus, R. (2018). Assessing Electronic Service Delivery in Municipalities: Determinants and Financial Consequences of E-Government Implementation. Local Government Studies, 44(5), 697–718. https://doi.org/10.1080/03003930.2018.1473768

Das, A., Singh, H., & Joseph, D. (2017). A longitudinal study of e-government maturity. Information and Management, 54(4), 415–426. https://doi.org/10.1016/j.im.2016.09.006

Defitri, S. Y., Bahari, A., Handra, H., & Febrianto, R. (2020). Determinant factors of e-government implementation and public accountability: Toe framework approach. Public Policy and Administration, 19(4), 37–51. https://doi.org/10.13165/VPA-20-19-4-03

Edwards, G. C. (1980). Implementing public policy. Implementing Public Policy, 181.

Frías-Aceituno, J. V., García-Sánchez, I. M., & Rodríguez-Domínguez, L. (2014). Electronic administration styles and their determinants. Evidence from Spanish local governments. Transylvanian Review of Administrative Sciences, 41, 90 108.

Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice, 19(2), 139–152. https://doi.org/10.2753/MTP1069-6679190202

Hair, J., Hult, G. T., Ringle, C., & Sarstedt, M. (2017). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) - Joseph F. Hair, Jr., G . Tomas M. Hult, Christian Ringle, Marko Sarstedt. In Sage.

Hanum, S., Adawiyah, R. Al, Sensuse, D. I., Lusa, J. S., Arief, A., & Prima, P. (2020). Factors Influencing e-Government Adoption (A Case Study of Information System Adoption in PPATK) (Faktor-faktor yang Memengaruhi Adopsi e-Government (Studi Kasus Adopsi Sistem Informasi di PPATK)). JURNAL IPTEKKOM (Jurnal Ilmu Pengetahuan & Teknologi Informasi), 22(1), 19–30. https://jurnal.kominfo.go.id/index.php/iptekkom/article/view/2862

Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. https://doi.org/10.1007/s11747-014-0403-8

Ifinedo, P. (2011). Factors influencing e-government maturity in transition economies and developing countries: A longitudinal perspective. Data Base for Advances in Information Systems, 42(4), 98–116. https://doi. org/10.1145/2096140.2096147

Indraswati, & Akram. (2019). Determinan Anggaran Berbasis Kinerja Terhadap E-Government : Pengujian Interaksi Money Follow Program. Akurasi: Jurnal Studi Akuntansi Dan Keuangan, 1(1), 43–62. https://doi.org/10.29303/akurasi.v1i1.4

Ingrams, A., Manoharan, A., Schmidthuber, L., & Holzer, M. (2020). Stages and Determinants of E-Government Development: A Twelve-Year Longitudinal Study of Global Cities. International Public Management Journal, 23(6), 731–769. https://doi.org/10.1080/10967494.2018.1467987

Krishnan, S., Teo, T. S. H., & Lim, J. (2013). E-participation and E-government maturity: A global perspective. IFIP Advances in Information and Communication Technology, 402, 420–435. https://doi.org/10.1007/978-3-642-38862-0_26

Krishnan, S., Teo, T. S. H., & Lymm, J. (2017). Determinants of Electronic Participation and Electronic Government Maturity: Insights from Cross-Country Data. International Journal of Information Management, 37(4), 297–312. https://doi. org/10.1016/j.ijinfomgt.2017.03.002

Larosiliere, G. D., & Carter, L. D. (2016a). Using a fit-viability approach to explore the determinants of e-government maturity. Journal of Computer Information Systems, 56(4), 271–279. https://doi.org/10.1080/08874417.2016.1163995

Larosiliere, G. D., & Carter, L. D. (2016b). Using a fit-viability approach to explore the determinants of e-government maturity. Journal of Computer Information Systems, 56(4), 271–279. https://doi.org/10.1080/08874417.2016.1163995

Lee, C. P., Chang, K., & Berry, F. S. (2011). Testing the Development and Diffusion of E-Government and E-Democracy: A Global Perspective. Public Administration Review , 71 (3), 444–454. https://doi.org/10.1111/j.1540-6210.2011.02228.x

Manoharan, A . (2013). A Study of the Determinants of County E-Government in the United States. American Review of Public Administration, 43(2), 159–178. https://doi.org/10.1177/0275074012437876

Manoharan, A. P., Zheng, Y., & Melitski, J. (2017). Global comparativ e municipal e-governance: factors and trends. International Review of Public Administration, 22(1), 14–31. https://doi.org/10.1080/12294659.2017.1292031

Milakovich, M. E. (2021). Digital governance: Applying advanced technologies to improve public service. In Digital Governance: Applying Advanced Technologies to Improve Public Service. Routledge. https://doi.org/10.4324/9781003215875

Nam, T. (2019). Does E-Government Raise Effectiveness And Efficiency? Examining The Cross-National Effect. Journal of Global Information Management, 27(3), 120–138. https://doi.org/10.4018/JGIM.2019070107

Ndiege, J. R. A. (2020). Promoting e-participation in County Governments: A case of a county government in a developing country. 2020 7th International Conference on EDemocracy and EGovernment, ICEDEG 2020, 275–278. https://doi.org/10.1109/ICEDEG48599.2020.9096756

Papadopoulou, P., Kolomvatsos, K., & Hadjiefthymiades, S. (2020). Internet of Things in E-Government. International Journal of Artificial Intelligence and Machine Learning, 10(2), 99–118. https://doi. org/10.4018/ijaiml.2020070106

Pudjianto, B., Zo, H., Ciganek, A. P., & Rho, J. J. (2011). Determinants of e-government assimilation in Indonesia : An empirical investigation using a TOE framework. Asia Pacific Journal of Information Systems, 21(1), 49–80. https://www.koreascience. or.kr/article/JAKO201117148817253.page

Rahmanto, A. N., & Dirgatama, C. H. A. (2018). The Implementation of E-Government through Social Media Use in Local Government of Solo Raya. 2018 International Conference on Information and Communications Technology, ICOIACT 2018, 2018-Janua(83), 765–768. https://doi. org/10.1109/ICOIACT.2018.8350763

Roy, J.P. (2019). Service, openness and engagement as digitally-based enablers of public value? A critical examination of digital government in Canada. International Journal of Public Administration in the Digital Age, 6(3), 23–40. https://doi.org/10.4018/IJPADA.2019070102

Sarstedt, M., Ringle, C. M., Smith, D., Reams, R., & Hair, J. F. (2014). Partial least squares structural equation modeling (PLS-SEM): A useful tool for family business researchers. Journal of Family Business Strategy, 5(1), 105–115. https:// doi.org/10.1016/j.jfbs.2014.01.002

Serrano-Cinca, C., Rueda-Tomás, M., & Portillo- Tarragona, P. (2009). Determinants of e-government extension. Online Information Review, 33(3), 476–498. https:// doi.org/10.1108/14684520910969916

Sharma, S. K. (2006). E-Government Services Framework. In Encyclopedia of E-Commerce, E-Government, and Mobile Commerce (pp. 373–378). IGI Global. https://doi. org/10.4018/978-1-59140-799-7.ch061

Singh, H., Das, A., & Joseph, D. (2007). Country-Level Determinants of E-Government Maturity. Communications of the Association for Information Systems, 20(March). https:// doi.org/10.17705/1cais.02040

Stier, S. (2015). Political determinants of e-government performance revisited: Comparing democracies and autocracies. Government Information Quarterly, 32(3), 270–278. https://doi.org/10.1016/j.giq.2015.05.004

Tornatzky, L. G., & Fleischer, M. (1990). The Processes of Technological Innovation. In D.C. Heath & Company (1st ed.). Lexington Books.

United Nations. (2003). UN Global E-Government Survey 2003 (1st ed.). United Nations- Department of Economic and Social Affairs.

United Nations. (2018). United Nations E-Government Survey 2018 (1st ed.). UN. ttps://doi.org/10.18356/d54b9179-en

United Nations. (2020). E-Government Survey 2020 - Digital Government in the Decade of Action for Sustainable Development: With Addendum on COVID-19 Response (1st ed.). United Nations-Department of Economic and Social Affairs. publicadministration. un.org

DOI: https://doi.org/10.22146/jsp.81803