KnE Social Sciences

ISSN: 2518-668X

The latest conference proceedings on humanities, arts and social sciences.

Public Acceptance of Mobile Civic Service in Indonesia Using a Unified Model of E-Government Acceptance

Published date: Mar 15 2022

Journal Title: KnE Social Sciences

Issue title: 2021 Annual Conference of Indonesian Association for Public Administration

Pages: 214–228

DOI: 10.18502/kss.v7i5.10551

Authors:

Rino Ardhian Nugrohorino.nugroho@staff.uns.ac.idBachelor of Public Administration, Faculty of Social and Political Science, Universitas Sebelas Maret

Annisaa Nurlaila ImaniaBachelor of Public Administration, Faculty of Social and Political Science, Universitas Sebelas Maret

Annisa Alya RahmawatiBachelor of Public Administration, Faculty of Social and Political Science, Universitas Sebelas Maret

Abstract:

The Presidential Instruction No. 3 of 2003 on National Policy and Strategy for e-Government Development, has posed its own set of challenges, particularly for local governments in terms of providing responsive, effective, and efficient public services that lead to electronic public service innovations. The application of ”Dukcapil Dalam Genggaman” is a type of public service innovation based on the electronic output of Surakarta City’s Population Office and Civil Registry. The goal of this study was to use the Unified Model of Electronic Government Adoption (UMEGA) to assess the elements of public acceptability in the application ”Dukcapil Dalam Genggaman,” with data from 100 respondents. This was a quantitative study which used associative research and surveying approaches. Data were analyzed using Partial Least Squares (PLS). The results showed that there were five aspects or variables that influenced the acceptability of the application ”Dukcapil Dalam Genggaman” by the user community, including expectations of effort, facilitating conditions, perceived risk, attitude, and behavioral intentions. The public acceptability of users of “Dukcapil Dalam Genggaman” was unaffected by performance expectancy and social influence.

Keywords: Dukcapil Dalam Genggaman, e-government, UMEGA, public acceptance

References:

[1] Dan K, Di I. Inovasi pelayanan publik berbasis e-government: Studi kasus aplikasi ogan lopian dinas. Jurnal Politikom Indonesiana. 2018;3(1):66–77.

[2] Kurniati PS, Sholihin I, Winarta R, Insan MH. Information Technology Policy through the eGovernment Programs in Improving Public Services Quality. International Journal of Computer in Law & Political Science. 2020;1(1):1-8.

[3] Rusdiyana N. Surakarta Dinobatkan sebagai Pemerintahan Daerah Inovatif. Surakarta.go; 19 December 2017. Available from: https://surakarta.go.id/.

[4] Munawaroh N. Mewujudkan good governance melalui reformasi birokrasi: Kasus pelayanan pembuatan e-kartu tanda penduduk di dinas kependudukan dan pencatatan sipil kabupaten bandung provinsi jawa barat. Jurnal Dukcapil (Kependudukan dan Catatan Sipil). 2018;6(1):21–46.

[5] Dwivedi YK, Rana NP, Janssen M, Lal B, Williams MD, Clement M. An empirical validation of a unified model of electronic government adoption (UMEGA). Government Information Quarterly. 2017;34(2):211–230. doi: 10.1016/j.giq.2017.03.001

[6] Andreasson KJ, Vis-Sommer V, Sommer M, Walker CJ. UN global egovernment survey 2003. UNDP; 28 August 2003. Available from: https://publicadministration.un.org/

[7] World Bank. The e-government handbook for developing countries (A project of info dev and The Center For Democracy & Technology). The World Bank Group; Benin, 2002.

[8] Indrajit RE. Membangun aplikasi e-government. Jakarta: PT. Elek Media Komputindo; 2002.

[9] Chen QL, Zhou ZH. Unusual formations of superoxo heptaoxomolybdates from peroxo molybdates. Inorganic Chemistry Communications. 2016;67(3):95–98. doi: 10.1016/j.inoche.2016.03.015

[10] Zhang X, Maruping LM. Household technology adoption in a global marketplace: Incorporating the role of espoused cultural values. Information System Frontiers. 2008;10(4):403–413.

[11] Gefen D, Karahanna E, Straub DW. Trust and tam in online shopping: An integrated model. MIS Quarterly. 2003;27(1):51–90.

[12] Chen L, Yang X. Using EPPM to evaluate the effectiveness of fear appeal messages across different media outlets to increase the intention of breast self-examination among Chinese women. Health Communication. 2019;34(11):1369–1376. Doi: 10.1080/10410236.2018.1493416

[13] Taylor S, Todd PA. Decomposition and crossover effects in the theory of planned behaviour: A study of consumer adoption. International Journal Research in Marketing. 1995;12(2):137–155.

[14] Y. Namkung Y, Jang S. Does food quality really matter in restaurants? Its impact on customer satisfaction and behavioral intentions. Journal of Hospitality & Tourism Research. 2007;31(3):387–410.

[15] Dharmesta BS. Manajemen pemasaran modern. Yogyakarta: Liberty; 2008.

[16] Darmawan D. Metode penelitian kuantitatif. Bandung: PT. Remaja Rosdakarya; 2013.

[17] Sugiyono S. Metode penelitian pendidikan pendekatan kuantitatif, kualitatif, dan R&B. Bandung: Alfabeta; 2014.

[18] Wibisono D. Riset bisnis: Panduan bagi praktisi dan akademisi. Jakarta: Gramedia Pustaka Utama; 2003.

[19] Ghozali I. Structural equation modeling, metode alternatif dengan partial least square (PLS). 4th ed. Semarang: Badan Penerbit Universitas Diponegoro; 2014.

[20] Hair JF, Hult GTM, Ringle C, Sarstedt M. A primer on partial least squares structural equation modeling (PLS-SEM). Los Angeles: SAGE Publication, Inc; 2014.

Download
HTML
Cite
Share
statistics

376 Abstract Views

307 PDF Downloads