Digitalization of Indonesian Identity Card and Millennial Participation
Investigation of Receiving Digital Transformation in Indonesian Civil Registry Policy
DOI:
https://doi.org/10.21787/jskp.2.2023.41-54Keywords:
E-Government, Digital IIC, Gen-Z, millennial generation, transformationAbstract
Technological advances and the Age of Society 5.0 passage require public sector organizations to integrate technology into service performance and governance to be more efficient, clean, transparent, accountable, and participatory. The concept of E-Government is becoming increasingly popular in Indonesia, one of which is with the existence of the Digital KTP policy in early 2023. This digital transformation of population administration must be effective by cooperating with the millennial generation and Gen-Z as pioneers of digital transformation in Indonesia. This study aims to identify the factors that influence the successful implementation of the Digital KTP policy amid the millennial-Gen Z generation and develop a conceptual framework related to the application of digital technology in population administration. This study develops eight hypotheses with predetermined indicator instruments. The data was obtained from a survey in the middle of the millennial and Gen Z generations with online-based distribution in January-February 2023, and the sample was drawn using the convenience sampling technique. The results of the data were analyzed using the PLS-SEM technique. The analysis found awareness, social influence, perceived costs of transforming, and perceived trust in technology and government as essential determinants of intention to use a Digital KTP. However, interestingly there is a rejection of risk factors in determining the intention to use Digital KTP, which is further examined due to the burden of responsibility on the government as a policy maker. So, this study concludes that the need for strengthening infrastructure, picking up the ball for transformation, and socializing Digital KTPs are the three leading solutions to encourage people to be confident and ready to transform with Digital KTPs.
References
Abdelhakim, D., & Idoughi, D. (2021). Citizen Adoption of Mobile and Customizable E-Government Services. International Journal of Information Systems in the Service Sector, 13(1), 31–53. https://doi.org/10.4018/IJISSS.2021010102
Alam, M. Z., Hoque, Md. R., Hu, W., & Barua, Z. (2020). Factors influencing the adoption of mHealth services in a developing country: A patient-centric study. International Journal of Information Management, 50, 128–143. https://doi.org/10.1016/j.ijinfomgt.2019.04.016
Almaiah, M. A., & Nasereddin, Y. (2020). Factors influencing the adoption of e-government services among Jordanian citizens. Electronic Government, an International Journal, 16(3), 236. https://doi.org/10.1504/EG.2020.108453
Almukhlifi, A., Deng, H., & Kam, B. (2019). E-Government Adoption in Saudi Arabia: The Moderation Influence of Transparency. Journal of Advances in Information Technology, 10(1), 1–8. https://doi.org/10.12720/jait.10.1.1-8
Al-Zahrani, M. S. (2020). Integrating IS success model with cybersecurity factors for e-government implementation in the Kingdom of Saudi Arabia. International Journal of Electrical and Computer Engineering, 10(5), 4937–4955. https://doi.org/10.11591/ijece.v10i5.pp4937-4955
Bandiyono, A., Purna, N., & Indrianto, P. (2019). E-Rekon LK Application as a Form of Accounting and E-Government Information Systems Implementation in Indonesia. In International Journal of Innovation, Creativity and Change. www.ijicc.net (Vol. 8). www.ijicc.net
Becker, J.-M., Cheah, J.-H., Gholamzade, R., Ringle, C. M., & Sarstedt, M. (2023). PLS-SEM’s most wanted guidance. International Journal of Contemporary Hospitality Management, 35(1), 321–346. https://doi.org/10.1108/IJCHM-04-2022-0474
Camilleri, M. A. (2020). The online users’ perceptions toward electronic government services. Journal of Information, Communication and Ethics in Society, 18(2), 221–235. https://doi.org/10.1108/JICES-09-2019-0102
Cao, G., Duan, Y., Edwards, J. S., & Dwivedi, Y. K. (2021). Understanding managers’ attitudes and behavioral intentions towards using artificial intelligence for organizational decision-making. Technovation, 106, 102312. https://doi.org/10.1016/j.technovation.2021.102312
Chang, S.-H. (2023). Technology network and development trends of government-funded patents. International Journal of Innovation Science, 15(2), 329–346. https://doi.org/10.1108/IJIS-12-2021-0234
Cuadrado-Ballesteros, B., Santis, S., & Bisogno, M. (2022). Public-sector Financial Management and E-government: The Role Played by Accounting Systems. International Journal of Public Administration, 45(8), 605–619. https://doi.org/10.1080/01900692.2020.1868506
Dahi, M., & Ezziane, Z. (2015). Measuring e-government adoption in Abu Dhabi with technology acceptance model (TAM). International Journal of Electronic Governance, 7(3), 206. https://doi.org/10.1504/IJEG.2015.071564
Dash, G., & Paul, J. (2021). CB-SEM vs PLS-SEM methods for research in social sciences and technology forecasting. Technological Forecasting and Social Change, 173, 121092. https://doi.org/10.1016/j.techfore.2021.121092
Davis, F. D., Granić, A., & Marangunić, N. (2023). The technology acceptance model 30 years of TAM. Technology.
Dhagarra, D., Goswami, M., & Kumar, G. (2020). Impact of Trust and Privacy Concerns on Technology Acceptance in Healthcare: An Indian Perspective. International Journal of Medical Informatics, 141, 104164. https://doi.org/10.1016/j.ijmedinf.2020.104164
Firdaus, I. T., Tursina, M. D., & Roziqin, A. (2021). Transformasi Birokrasi Digital Di Masa Pandemi Covid-19 Untuk Mewujudkan Digitalisasi Pemeritahan Indonesia. Kybernan: Jurnal Studi Kepemerintahan, 4(2), 226–239. https://doi.org/10.35326//kybernan.v4i2.1244
Glyptis, L., Christofi, M., Vrontis, D., Giudice, M. del, Dimitriou, S., & Michael, P. (2020). E-Government implementation challenges in small countries: The project manager’s perspective. Technological Forecasting and Social Change, 152, 119880. https://doi.org/10.1016/j.techfore.2019.119880
Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2018). The Results of PLS-SEM Article information. European Business Review, 31(1), 2–24.
Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLSSEM. European Business Review, 31(1), 2–24. https://doi.org/10.1108/EBR-11-2018-0203
Hair, J., Hollingsworth, C. L., Randolph, A. B., & Chong, A. Y. L. (2017). An updated and expanded assessment of PLS-SEM in information systems research. Industrial Management and Data Systems, 117(3), 442–458. https://doi.org/10.1108/IMDS-04-2016-0130
Hair Jr., J. F., Matthews, L. M., Matthews, R. L., & Sarstedt, M. (2017). PLS-SEM or CB-SEM: updated guidelines on which method to use. International Journal of Multivariate Data Analysis, 1(2), 107. https://doi.org/10.1504/ijmda.2017.10008574
Heemsbergen, L. (2021). Mediating Transparency: Governing with Visibility. Radical Transparency and Digital Democracy, 45–70. https://doi.org/10.1108/978-1-80043-762-320211003
Hu, Z., Ding, S., Li, S., Chen, L., & Yang, S. (2019). Adoption Intention of Fintech Services for Bank Users: An Empirical Examination with an Extended Technology Acceptance Model. Symmetry, 11(3), 340. https://doi.org/10.3390/sym11030340
Jia, K., & Chen, S. (2022). Global digital governance: paradigm shift and an analytical framework. Global Public Policy and Governance, 2(3), 283–305. https://doi.org/10.1007/s43508-022-00047-w
Jiya, T. (2021). Using Theory of Change to evaluate the role of stakeholder engagement towards socially desirable outcomes in ICT research projects. International Journal of Information Systems and Project Management, 9(2), 63–82. https://doi.org/10.12821/ijispm090204
Karim, W., Haque, A., Ulfy, M. A., Hossain, A., & Anis, Z. (2020). Factors Influencing the Use of E-wallet as a Payment Method among Malaysian Young Adults. Journal of International Business and Management. https://doi.org/10.37227/jibm-2020-2-21
Khan, S., Umer, R., Umer, S., & Naqvi, S. (2021). Antecedents of trust in using social media for E-government services: An empirical study in Pakistan. Technology in Society, 64, 101400. https://doi.org/10.1016/j.techsoc.2020.101400
Krick, T., Huter, K., Domhoff, D., Schmidt, A., Rothgang, H., & Wolf-Ostermann, K. (2019). Digital technology and nursing care: A scoping review on acceptance, effectiveness and efficiency studies of informal and formal care technologies. In BMC Health Services Research (Vol. 19, Issue 1). BioMed Central Ltd. https://doi.org/10.1186/s12913-019-4238-3
Li, F. (2020). Leading digital transformation: three emerging approaches for managing the transition. International Journal of Operations and Production Management, 40(6), 809–817. https://doi.org/10.1108/IJOPM-04-2020-0202
Li, Y., & Shang, H. (2020). Service quality, perceived value, and citizens’ continuous-use intention regarding e-government: Empirical evidence from China. Information & Management, 57(3), 103197. https://doi.org/10.1016/j.im.2019.103197
MacLean, D., & Titah, R. (2022). A Systematic Literature Review of Empirical Research on the Impacts of eâ€Government: A Public Value Perspective. Public Administration Review, 82(1), 23–38. https://doi.org/10.1111/puar.13413
Mahmood, M. (2016). Enhancing Citizens’ Trust and Confidence in Government through Digital Transformation. International Journal of Electronic Government Research, 12(1), 99–110. https://doi.org/10.4018/IJEGR.2016010105
Mahmood, M., Weerakkody, V., & Chen, W. (2020). The role of information and communications technology in the transformation of government and citizen trust. International Review of Administrative Sciences, 86(4), 708–728. https://doi.org/10.1177/0020852318816798
Mees, H. L. P., Uittenbroek, C. J., Hegger, D. L. T., & Driessen, P. P. J. (2019). From citizen participation to government participation: An exploration of the roles of local governments in community initiatives for climate change adaptation in the Netherlands. Environmental Policy and Governance, 29(3), 198–208. https://doi.org/10.1002/eet.1847
Memon, M. A., T., R., Cheah, J.-H., Ting, H., Chuah, F., & Cham, T. H. (2021). PLS-SEM Statistical Programs: a Review. Journal of Applied Structural Equation Modeling, 5(1), i–xiv. https://doi.org/10.47263/jasem.5(1)06
Mensah, I. K., & Luo, C. (2021). Exploring Factors Determining Chinese College Students’ Satisfaction With E-Government Services. Information Resources Management Journal, 34(3), 1–20. https://doi.org/10.4018/IRMJ.2021070101
Muangmee, C., Kot, S., Meekaewkunchorn, N., Kassakorn, N., & Khalid, B. (2021). Factors Determining the Behavioral Intention of Using Food Delivery Apps during COVID-19 Pandemics. Journal of Theoretical and Applied Electronic Commerce Research, 16(5), 1297–1310. https://doi.org/10.3390/jtaer16050073
Mukamurenzi, S., Grönlund, Å., & Islam, S. M. (2019). Improving qualities of e-government services in Rwanda: A service provider perspective. The Electronic Journal of Information Systems in Developing Countries, 85(5). https://doi.org/10.1002/isd2.12089
Nguyen, T. T. T. (2023). Citizens’ intentions to use e-government during the COVID-19 pandemic: integrating the technology acceptance model and perceived risk theory. Kybernetes. https://doi.org/10.1108/K-07-2022-1023
Pérez Chacón, S. R., Rodriguez Vilchez, J. L., Cabrera Berrios, J. A., Raymundo Ibañez, C. A., & Mauricio, D. S. (2021). Increasing e-government adoption by emphasizing environmental sustainability: an extended case study in Peru. Transforming Government: People, Process and Policy, 15(4), 550–565. https://doi.org/10.1108/TG-10-2020-0305
Pittaway, J. J., & Montazemi, A. R. (2020). Know-how to lead digital transformation: The case of local governments. Government Information Quarterly, 37(4), 101474. https://doi.org/10.1016/j.giq.2020.101474
Purwanto, A., & Sudargini, Y. (2021). Partial Least Squares Structural Squation Modeling ( PLS-SEM ) Analysis for Social and Management Research : A Literature Review. Journal of Industrial Engineering & Management Research, 2(4), 114–123.
Puspita Ningrum, A., & Sukmana, H. (2022). Analysis Of Improving The Quality Of E-KTP Population Services. Indonesian Journal of Public Policy Review, 18. https://doi.org/10.21070/ijppr.v18i0.1223
Ritz, W., Wolf, M., & McQuitty, S. (2019). Digital marketing adoption and success for small businesses. Journal of Research in Interactive Marketing, 13(2), 179–203. https://doi.org/10.1108/JRIM-04-2018-0062
Safitri, L. S. (2019). Pemanfaatan Teknologi Informasi dan Komunikasi Dalam Mengakses Kredit Bagi Petani (Vol. 1, Issue 2). http://ejournal.unsub.ac.id/index.php/bisnis
Samsor, A. M. (2021). Challenges and Prospects of e-Government implementation in Afghanistan. International Trade, Politics and Development, 5(1), 51–70. https://doi.org/10.1108/itpd-01-2020-0001
Sangeeta, & Tandon, U. (2021). Factors influencing adoption of online teaching by school teachers: A study during COVID-19 pandemic. Journal of Public Affairs, 21(4). https://doi.org/10.1002/pa.2503
Sarstedt, M., Hair, J. F., Cheah, J. H., Becker, J. M., & Ringle, C. M. (2019). How to specify, estimate, and validate higher-order constructs in PLS-SEM. Australasian Marketing Journal, 27(3), 197–211. https://doi.org/10.1016/j.ausmj.2019.05.003
Sarstedt, M., Radomir, L., Moisescu, O. I., & Ringle, C. M. (2022). Latent class analysis in PLS-SEM: A review and recommendations for future applications. Journal of Business Research, 138, 398–407. https://doi.org/10.1016/j.jbusres.2021.08.051
Sarstedt, M., Ringle, C. M., Cheah, J. H., Ting, H., Moisescu, O. I., & Radomir, L. (2020). Structural model robustness checks in PLS-SEM. Tourism Economics, 26(4), 531–554. https://doi.org/10.1177/1354816618823921
Saxena, S., Shao, D., Nikiforova, A., & Thapliyal, R. (2022). Invoking blockchain technology in e-government services: a cybernetic perspective. Digital Policy, Regulation and Governance, 24(3), 246–258. https://doi.org/10.1108/DPRG-10-2021-0128
Scherer, R., Siddiq, F., & Tondeur, J. (2019). The technology acceptance model (TAM): A meta-analytic structural equation modeling approach to explaining teachers’ adoption of digital technology in education. Computers & Education, 128, 13–35. https://doi.org/10.1016/j.compedu.2018.09.009
Setyoningrum, N. R. (2020). Analisis Tingkat Kepuasan Pengguna Sistem Informasi Kerja Praktek dan Skripsi (SKKP) Menggunakan Metode End User Computing Satisfaction (EUCS). Journal of Applied Informatics and Computing, 4(1), 17–21. https://doi.org/10.30871/jaic.v4i1.1645
Sofyani, H., Pratolo, S., & Saleh, Z. (2022). Do accountability and transparency promote community trust? Evidence from village government in Indonesia. Journal of Accounting and Organizational Change, 18(3), 397–418. https://doi.org/10.1108/JAOC-06-2020-0070
Udayana IBN, & Ramadhan Danang. (2019). Pengaruh Perceived Usefullness, Perceived Ease Of Use, dan Subjective Norm Terhadap Purchase Intention Melalui Attitude Sebagai Mediasi (Studi Kasus Pada Konsumen Gudang Digital Online Yogyakarta) (Vol. 10, Issue 2).
Valle-Cruz, D. (2019). Public value of e-government services through emerging technologies. Internasional Journal of Public Sector Management, 32(5), 530–545. https://doi.org/10.1108/IJPSM-03-2018-0072
Wang, L.-Y.-K., Lew, S.-L., Lau, S.-H., & Leow, M.-C. (2019). Usability factors predicting continuance of intention to use cloud e-learning application. Heliyon, 5(6), e01788. https://doi.org/10.1016/j.heliyon.2019.e01788
Xiao, J., Han, L., & Zhang, H. (2022). Exploring Driving Factors of Digital Transformation among Local Governments: Foundations for Smart City Construction in China. Sustainability, 14(22), 14980. https://doi.org/10.3390/su142214980
Zhu, H., & Deng, F. (2020). How to Influence Rural Tourism Intention by Risk Knowledge during COVID-19 Containment in China: Mediating Role of Risk Perception and Attitude. International Journal of Environmental Research and Public Health, 17(10), 3514. https://doi.org/10.3390/ijerph17103514
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Author(s)
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
