Article Sidebar

Download
View Article
Statistic
Read Counter : 291 Download : 148

Downloads

Download data is not yet available.

Main Article Content

Abstract

The purpose of this study was to determine and analyze the variables of electronic administration policy and the application of artificial intelligence to bureaucratic transformation in the Government environment through the variable of work effectiveness as a mediator variable...The subject of this study is the number of ASNs working in 37 Provinces in Indonesia, where the variables in this study are endogenous variables, namely the variables of electronic administration policy and the application of artificial intelligence, while the exogenous variable is bureaucratic transformation in the Government environment, and the mediator variable is the work effectiveness variable, where the data analysis used uses SEM analysis using SMART PLS 3.0 software.The research method used is to use a quantitative descriptive approach by using data analysis with the structural equation model (SEM) method, where the results of data processing with the SEM method are carried out with the PLS application. From the results of this study, the conclusion is that partially the variables of electronic administration policy and the use of artificial intelligence have an effect on bureaucratic transformation within the Provincial Government throughout Indonesia and also affect work effectiveness within the Provincial Government throughout Indonesia. Work effectiveness variables within the Provincial Government throughout Indonesia affect bureaucratic transformation within the Provincial Government throughout Indonesia. Simultaneously, the variables of electronic administration policy and the use of artificial intelligence affect bureaucratic transformation in the Provincial Government throughout Indonesia through work effectiveness in the Provincial Government throughout Indonesia. With the process of organizational digital technology transformation in MSMEs, it can increase the agility of the organization to be adaptive and able to change itself, as well as change the mindset of the owners of these MSMEs so that later they have a vision and mission that makes businesses on a medium and large scale, where MSMEs must be able to improve their quality and capacity so that MSMEs in Medan City can be known not only throughout the archipelago, but can also be known throughout foreign countries.

Keywords

Electronic administration policy Use of artificial intelligence Work effectiveness Bureaucratic transformation

Article Details

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite
Pasaribu, J. (2022). Study of the Impact of Electronic Administration Policy Implementation and The Use of Artificial Intelligence on Bureaucratic Transformation in the Local Government Environment. Atestasi : Jurnal Ilmiah Akuntansi, 5(2), 887–903. https://doi.org/10.57178/atestasi.v5i2.956
Download Citation
Endnote/Zotero/Mendeley (RIS)
BibTeX

References

  1. Allam, Zaheer and Dhunny, Z. A. (2019). On big data, artificial intelligence and smart cities. Journal Cities, 89, 80-91. https://doi.org/10.1016/j.cities.2019.01.032
  2. Androniceanu, Armenia and Georgescu, I. (2021). E-Government in European Countries, a Comparative Approach Using the Principal Components Analysis. NISPAcee Journal of Public Administration and Policy, XIV(2), 65-86. https://doi.org/10.2478/nispa-2021-0015
  3. Aoki, N. (2020). An experimental study of public trust in AI chatbots in the public sector. Journal Government Information Quarterly, 37, 101490. https://doi.org/10.1016/j.giq.2020.101490
  4. Arenal, Alberto, et al. (2020). Innovation ecosystems theory revisited: The case of artificial intelligence in China. Telecommunications Policy, 44, 1-27. https://doi.org/10.1016/j.telpol.2020.101960
  5. Bolívar, M. P. R. (2017). Governance Models for the Delivery of Public Services Through the Web 2.0 Technologies: A Political View in Large Spanish Municipalities. Journal Social Science Computer Review, 35, 1-23. https://doi.org/10.1177/0894439315609919
  6. Bullock, J. B. (2019). Artificial Intelligence, Discretion, and Bureaucracy. Journal American Review of Public Administration, 1-11. https://doi.org/10.1177/0275074019856123
  7. Cahyarini, Benedicta Retna and Samsara, L. (2021). The Challengers of Digital Competency Implementation Towards World-Class Bureaucracy. Journal of Borneo Administrator, 17(2), 259-274.
  8. Chang, I. Chun Catherine, Jou, Sue Ching and Chung, M. K. (2020). Provincializing smart urbanism in Taipei: The smart city as a strategy for urban regime transition. Journal Urban Studies, 1-22. https://doi.org/10.1177/0042098020947908
  9. Chatfield, Akemi Takeoka, and Reddick, C. G. (2019). A framework for Internet of Things-enabled smart government: A case of IoT cybersecurity policies and use cases in the U.S. federal government. Journal of Government Information Quarterly, 36, 1-12. https://doi.org/10.1016/j.giq.2018.09.007
  10. D'Amico, Gaspare, et al. (2020). Understanding Sensor Cities: Insights from Technology Giant Company Driven Smart Urbanism Practices. Journal Sensors, 20(4391), 1-24.
  11. ElMassah, Suzanna and Mohieldin, M. (2020). Digital transformation and localizing the Sustainable Development Goals (SDGs). Journal of Ecological Economics, 169, 106490. https://doi.org/10.1016/j.ecolecon.2019.106490
  12. Fatima, Samar, Desouza, Kevin C. and Dawson, G. S. (2020). National Strategic Artificial Intelligence Plans: A Multi-Dimensional Analysis. Journal of Economics Analysis and Policy, 1-48. https://doi.org/10.1016/j.econlet.2020.109231
  13. Fusi, Federica and Feeney, M. K. (2017). Electronic monitoring in public organizations: evidence from US local governments. Journal Public Management Review, 1-24. https://doi.org/10.1080/14719037.2017.1400584
  14. Gong, Yiwei, Yang, Jun and Shi, X. (2020). Towards a comprehensive understanding of digital transformation in government: Analysis of flexibility and enterprise architecture. Journal Government Information Quarterly, 37, 101487. https://doi.org/10.1016/j.giq.2020.101487
  15. Gorelova, Irina, et al. (2021). Antecedents and consequences of digital entrepreneurial ecosystems in the interaction process with smart city development. Journal Administrative Sciences, 11(94), 1-14. https://doi.org/10.3390/ADMSCI11030094
  16. Gupta, Anushri, Panagiotopoulos, Panos and Bowen, F. (2020). An orchestration approach to smart city data ecosystems. Journal of Technological Forecasting and Social Change, 153, 119929. https://doi.org/10.1016/j.techfore.2020.119929
  17. Hair, Joe F., Howard, M. C. and, & Nitzl, C. (2020). Assessing measurement model quality in PLS-SEM using confirmatory composite analysis. Journal of Business Research, 109, 101-110. https://doi.org/10.1016/j.jbusres.2019.11.069
  18. Kornberger, Martin, et al. (2017). When Bureaucracy Meets the Crowd: Studying "Open Government" in the Vienna City Administration. Journal Organization Studies, 38(2), 179-200. https://doi.org/10.1177/0170840616655496
  19. Kundu, Debasish and Kundu, D. (2019). Blockchain and Trust in a Smart City. Journal Environment and Urbanization ASIA, 10, 1-13. https://doi.org/10.1177/0975425319832392
  20. Kuziemski, Maciej and Misuraca, G. (2020). AI governance in the public sector: Three tales from the frontiers of automated decision-making in democratic settings. Journal Telecommunications Policy, 44, 1-13. https://doi.org/10.1016/j.telpol.2020.101976
  21. Lee, DonHee and Yoon, S. N. (2021). Application of Artificial Intelligence-Based Technologies in the Healthcare Industry: Opportunities and Challenges. International Journal of Environmental Research and Public Heath, 18(271), 1-18. https://doi.org/10.1109/IIHC55949.2022.10059767
  22. Malodia, Suresh, et al. (2021). Future of e-Government: An integrated conceptual framework. Journal of Technological Forecasting and Social Change, 173, 121102. https://doi.org/10.1016/j.techfore.2021.121102
  23. Mikhaylov, Slava Jankin, Esteve, Marc and Campion, A. (2018). Artificial intelligence for the public sector: Opportunities and challenges of cross-sector collaboration. Philosophical Transactions of the Royal Society, 376, 1-21. https://doi.org/10.1098/rsta.2017.0357
  24. Mills, David, et al. (2022). Evidence-based public policy decision-making in smart cities: Does extant theory support the achievement of city sustainability objectives? Journal Sustainability, 14(3), 1-23. https://doi.org/10.3390/su14010003
  25. Ortega-Fernández, A., Martín-Rojas, R., & García-Morales, V. J. (2020). Artificial intelligence in the urban environment: Smart cities as models for developing innovation and sustainability. Journal Sustainability, 12(7860), 1-26. https://doi.org/10.3390/SU12197860
  26. Park, Sora and Humphry, J. (2019). Exclusion by design: intersections of social, digital and data exclusion. Journal Information Communication and Society, 22(7), 934-953. https://doi.org/10.1080/1369118X.2019.1606266
  27. Pencheva, Irina, Esteve, Marc and Mikhaylov, S. J. (2018). Big Data and AI - A transformational shift for government: So, what next for research? Journal of Public Policy and Administration, 1-21. https://doi.org/10.1177/0952076718780537
  28. Pereira, Gabriela Viale, et al. (2020). South american expert roundtable: Increasing adaptive governance capacity for coping with unintended side eects of digital transformation. Journal Sustainability, 12(718), 1-47. https://doi.org/10.3390/su12020718
  29. Radu, L. D. (2020). Disruptive technologies in smart cities: A survey on current trends and challenges. Journal Smart Cities, 3, 1022-1038. https://doi.org/10.3390/smartcities3030051
  30. Rosa, A. T. R. (2019). The Role Of Government Apparatus (Devotion) On Development Of Bureaucracy In Public Policy Perspectives In The Industrial Revolution 4.0 Era. SCIENTIFIC JOURNAL OF WAHANA BHAKTI PRAJA, 9(1), 17-30.
  31. Sharma, Gagan Deep, et al. (2019). Artificial Intelligence and Effective Governance: A Review, Critique and Research Agenda. Journal Sustainable Futures, 1-15.
  32. Shava, Elvin and Doorgapersad, S.-V. (2022). Elvin Shava Journal.pdfFostering Digital Innovations to Accelerate Service Delivery in South African Local Government. International Journal of Research and Social Science, 11(2), 83-91.
  33. Sobrino-García, I. (2021). Artificial intelligence risks and challenges in the Spanish public administration: An exploratory analysis through expert judgements. Journal Administrative Sciences, 11(102), 1-21. https://doi.org/10.3390/admsci11030102
  34. Soe, R. M., & Drechsler, W. (2018). Agile local governments: Experimentation before implementation. Journal Government Information Quarterly, 35, 1-13. https://doi.org/10.1016/j.giq.2017.11.010
  35. Tan, Si Ying and Taeihagh, A. (2020). Smart city governance in developing countries: A systematic literature review. Journal Sustainability, 12(899), 1-29. https://doi.org/10.3390/su12030899
  36. Tang, Tian and Ho, A. T. K. (2019). A path-dependence perspective on the adoption of the Internet of Things: Evidence from early adopters of smart and connected sensors in the United States. JournalcGovernment Information Quarterly, 36(2), 1-12. https://doi.org/10.1016/j.giq.2018.09.010
  37. Ullah, Fahim, et al. (2021). Risk management in sustainable smart cities governance: A TOE framework. Journal of Technological Forecasting and Social Change, 167, 120743. https://doi.org/10.1016/j.techfore.2021.120743
  38. Valle-Cruz, D., Criado, J. I., Sandoval-Almazán, R., & Ruvalcaba-Gomez, E. A. (2020). Assessing the public policy-cycle framework in the age of artificial intelligence: From agenda-setting to policy evaluation. Journal Government Information Quarterly, 37, 101509. https://doi.org/10.1016/j.giq.2020.101509
  39. van den Homberg, Marc J.C., Gevaert, Caroline M. and Georgiadou, Y. (2020). The changing face of accountability in humanitarianism: Using artificial intelligence for anticipatory action. Journal Politics and Governance, 8(4), 456-467. https://doi.org/10.17645/pag.v8i4.3158
  40. Vogl, Thomas M., et al. (2020). Smart Technology and the Emergence of Algorithmic Bureaucracy: Artificial Intelligence in UK Local Authorities. Journal Public Administration Review, 80(6), 946-961. https://doi.org/10.1111/puar.13286
  41. Wirtz, Bernd W., Weyerer, Jan C. and Sturm, B. J. (2020). The Dark Sides of Artificial Intelligence: An Integrated AI Governance Framework for Public Administration. International Journal of Public Administration, 43, 1-12. https://doi.org/10.1080/01900692.2020.1749851
  42. Yigitcanlar, Tan, et al. (2021). Responsible urban innovation with local government artificial intelligence (Ai): A conceptual framework and research agenda. Journal of Open Innovation: Technology, Markets, and Complexity, 7(71), 1-16. https://doi.org/10.3390/joitmc7010071
  43. Zuiderwijk, Anneke, Chen, Yu Che and Salem, F. (2021). Implications of the use of artificial intelligence in public governance: A systematic literature review and a research agenda. Journal Government Information Quarterly, 38, 1-19. https://doi.org/10.1016/j.giq.2021.101577