METHODOLOGY FOR ASSESSING THE EFFECTIVENESS OF PUBLIC ADMINISTRATION USING ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN UKRAINE UNDER MARTIAL LAW CONDITIONS
Abstract
This article emphasizes the critical importance of public administration effectiveness during a full-scale war, highlighting the capacity of government to respond efficiently to security challenges, maintain public order, and provide essential public services. Such effectiveness is vital for the resilience of the political system and the maintenance of citizens' trust. The author notes that evaluating governance effectiveness under these conditions requires flexible approaches that account for the unique wartime context, institutional capacity constraints, and the necessity of decision-making under extraordinary resource mobilization. Based on a review of assessment methodologies and general principles of public administration effectiveness (such as the Worldwide Governance Indicators, Bertelsmann Transformation Index, Sustainable Governance Indicators, Global Competitiveness Index, Prosperity Index, Bureaucracy Index, International Civil Service Effectiveness Index, Open Government Index, European Quality of Government Index, and others) the article demonstrates that a combination of international models (WGI, OECD-frameworks, SIGMA), adapted to Ukraine’s national context, is most relevant. Special attention is given to the application of innovative technologies – machine learning and big data analytics – as tools to enhance the accuracy, timeliness, and transparency of monitoring public administration effectiveness. The article also describes the use of artificial intelligence by Ukrainian governmental bodies, including the Ministry of Digital Transformation, Ministry of Finance, National Anti-Corruption Bureau, National Agency on Corruption Prevention, State Tax Service, National Health Service, Ministry of Education and Science, and State Employment Service. Highlighting the advantages of AI integration, the author underscores its role in improving objectivity, precision, and responsiveness in evaluation processes, automating large-scale data processing, and countering misinformation. The article concludes by emphasizing that the effectiveness of such integration depends on the regulatory framework, development of digital competencies, establishment of ethical guidelines, and public monitoring platforms. In this regard, the study stresses the necessity of balancing international standards with Ukraine’s specific socio-political realities, particularly the challenges of governance under conditions of ongoing aggression. It also emphasizes that the development of adaptive and context-sensitive evaluation frameworks is not only a methodological but also a strategic task for strengthening democratic resilience. At the same time, the article highlights that the long-term effectiveness of governance assessment in Ukraine will depend on the institutionalization of innovative tools, the strengthening of cooperation with international partners, and the inclusiveness of evaluation processes. Together, these factors create a foundation for both post-war recovery and sustainable democratic transformation.
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References
Wholey, J.S., Hatry, H.P. & Newcomer, K.E. (eds.). 2010. Handbook of Practical Program Evaluation. 3rd ed. San Francisco: Jossey-Bass.
Hatry, H.P. 2007. Performance Measurement: Getting Results. 2nd ed. Washington, DC: Urban Institute Press.
Hatry, H.P. 2013. Sorting the Relationships Among Performance Measurement, Program Evaluation, and Performance Management. New Directions for Evaluation 137: 19–32. https://doi.org/10.1002/ev.20042
Waldo, D. 1948. The Administrative State: A Study of the Political Theory of American Public Administration. New York: Ronald Press Company.
Dunleavy, P., Margetts, H., Bastow, S. & Tinkler, J. 2006. New Public Management is Dead – Long Live Digital-Era Governance. Journal of Public Administration Research and Theory 16(3): 467-494. https://doi.org/10.1093/jopart/mui057
Chaltseva, O., 2023. Evaluating Public Policy as an Indicator of its Effectiveness: Experience for Ukraine Public Administration and Local Government 1: 63–68. https://doi.org/10.32782/2414-4436/2023-1-9 (in Ukrainian)
Lashchuk, Ya. 2021. Modern Approaches to Evaluating the Public Administration Performance Scientific Bulletin of Mukachevo State University. Series «Economics» 8(1): 96–104. https://doi.org/10.52566/msu-econ.8(1).2021.96-104 (in Ukrainian)
Salnikova, O. 2019. Efficiency of the State Management Efektyvnist Derzhavnoho Upravlinnia. Scientific Bulletin: Public Administration 1(1): 100–112. https://doi.org/10.32689/2618-0065-2018-1/1-100-112 (in Ukrainian)
Khudaverdiieva, V., 2023. Public Management as a Variety of Social Management: the Price of Efficiency. Scientific Bulletin:Public Administration 2(14): 221–237. https://doi.org/10.33269/2618-0065-2023-2(14)-221-237 (in Ukrainian)
Zubchyk, O., Grebonozhko, Ye., Kamaran, K.K., Yesennikov, K. & Maherramov, A., 2023. State Competitiveness as an Analytical Tool in the Study of Public Administration Bulletin of Taras Shevchenko National University of Kyiv. Public Administration 18(8): 49–56. https://doi.org/10.17721/2616-9193.2023/18-8/14 (in Ukrainian)
Orlova, N. & Lukashuk, M., 2022. Assessment of the Efficiency of Public Administration. In: Strategy of Modern Development of Ukraine: Synthesis of Legal, Educational and Economic Mechanisms: Collective Monograph / ed. by professor G. V. Starchenko. Kharkiv: Kharkiv National Economic University; Dnipro Academy of Continuous Education: 118–132. https://doi.org/10.54929/monograph-12-2022-03-02 (in Ukrainian)
Svichynskyy, V. 2021. Evaluation of the Effectiveness of Local Executive Authorities. Aktual problems of public administration 3(84): 42–45. https://doi.org/10.35432/1993-8330appa384202124-6240 (in Ukrainian)
Pollitt, C. & Bouckaert, G., 2017. Public Management Reform: A Comparative Analysis – Into the Age of Austerity. 4th ed. Oxford: Oxford University Press.
OECD, 2007. Performance Budgeting in OECD Countries. Paris: OECD Publishing. https://doi.org/10.1787/9789264034051-en
OECD, 2021. State of Implementation of the OECD AI Principles: Insights from National AI Policies. Paris: OECD Publishing.
OECD, 2024. Governing with Artificial Intelligence: Are Governments Ready? Paris: OECD Publishing.
Charnes, A., Cooper, W.W. & Rhodes, E., 1978. Measuring the Efficiency of Decision Making Units. European Journal of Operational Research 2(6): 429–444. https://doi.org/10.1016/0377-2217(78)90138-8
Jeffrey, F., 2023. Role of DEA Model to Maximize Performance Efficiency and Effectiveness of Public Sector. Review of Public Administration and Management 11(1).
Guan, Q., Zou, S., Liu, H. & Chen, Q., 2022. Performance Evaluation Method of Public Administration Department Based on Improved DEA Algorithm. Computational Intelligence and Neuroscience 2022, Article 2338680. https://doi.org/10.1155/2022/2338680
Žubule, Ē. & Kavale, L., 2016. Evaluation of Efficiency in the Public Sector. Society. Integration. Education 4: 463–473. https://doi.org/10.17770/sie2016vol4.1513
Yaremko, I.I., 2022. Effectiveness of Public Administration: Problems and Directions of Improvement of Evaluation Processes. SMEU: Academic Journal 4(1): 49–56.
Fioretto, S., Masciari, E. & Napolitano, E.V., 2024. A Brief Discussion on KPI Development in Public Administration. https://doi.org/10.48550/arXiv.2412.09142
Jankin Mikhaylov, S., Esteve, M. & Campion, A., 2018. Artificial Intelligence for the Public Sector: Opportunities and Challenges of Cross-Sector Collaboration. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, A.37620170357. https://doi.org/10.1098/rsta.2017.0357
Veale, M., Van Kleek, M. & Binns, R., 2018. Fairness and Accountability Design Needs for Algorithmic Support in High Stakes Public Sector Decision Making. https://doi.org/10.48550/arXiv.1802.04013
Kreif, N. & DiazOrdaz, K., 2019. Machine Learning in Policy Evaluation: New Tools for Causal Inference. https://doi.org/10.48550/arXiv.1903.00402
Chabanna, M., 2025. The Use of Artificial Intelligence in EU Public Policy Vykorystannia shtuchnoho intelektu u publichnii politytsi ES. Empirio 2(2): 34–42 https://doi.org/10.18523/3041-1718.2025.2.2.34-42 (in Ukrainian)
Kaufmann, D., Kraay, A. & Mastruzzi, M., 2010. The Worldwide Governance Indicators: Methodology and Analytical Issues. World Bank Policy Research Working Paper 5430. Washington, DC: World Bank. https://doi.org/10.1596/1813-9450-5430
World Bank, 2023. Government Effectiveness – Worldwide Governance Indicators. Worldwide Governance Indicators (WGI) Database. https://info.worldbank.org/governance/wgi/
Bertelsmann Stiftung, 2024a. BTI 2024: Governance in International Comparison. Gütersloh: Bertelsmann Stiftung. https://bti-project.org/en/reports/global-report
Bertelsmann Stiftung, 2024b. BTI 2024: Transformation Index. Gütersloh: Bertelsmann Stiftung. https://bti-project.org/en/reports/country-dashboard
Bertelsmann Stiftung, 2022a. SGI 2022: Governance in International Comparison. Gütersloh: Bertelsmann Stiftung. https://www.sgi-network.org/docs/2022/thematic/SGI2022_Global_Findings.pdf
Bertelsmann Stiftung, 2022b. Sustainable Governance Indicators 2022. Gütersloh: Bertelsmann Stiftung. https://www.sgi-network.org/
World Economic Forum, 2019. The Global Competitiveness Report 2019. Geneva: World Economic Forum. https://www.weforum.org/reports/how-to-end-a-decade-of-lost-productivity-growth
International Institute for Management Development, 2025. World Competitiveness Ranking. Lausanne: IMD. https://www.imd.org/centers/world-competitiveness-center/rankings/world-competitiveness/
Legatum Institute, 2023. The Legatum Prosperity Index 2023. London: Legatum Institute Foundation. https://www.prosperity.com/
INESS – Institute of Economic and Social Studies, 2024. Bureaucracy Index 2024 – Results. https://iness.sk/en/bureaucracy-index-2024-results/
Blavatnik School of Government, 2024. Blavatnik Index of Public Administration 2024 Report. Oxford: Blavatnik School of Government. https://www.bsg.ox.ac.uk/sites/default/files/2024-12/Blavatnik-Index-Report-2024.pdf
Blavatnik School of Government & Institute for Government, 2019. International Civil Service Effectiveness (InCiSE) Index 2019: Results Report. Oxford: Blavatnik School of Government. https://www.bsg.ox.ac.uk/sites/default/files/2019-04/InCiSE%202019%20Results%20Report.pdf
World Justice Project, 2015. Open Government Index Methodology and Results Briefing. Washington, DC: World Justice Project. https://worldjusticeproject.org/our-work/research-and-data/wjp-open-government-index
Charron, N., Lapuente, V. & Bauhr, M., 2024. The Geography of Quality of Government in Europe: Subnational Variations in the 2024 European Quality of Government Index and Comparisons with Previous Rounds. QoG Working Paper Series 2024:2. University of Gothenburg. https://qog.pol.gu.se/data/datadownloads/codebook_eqi_24.pdf
Khan, M.A. & Javaid, N., 2021. Artificial Intelligence in E-Government for Smart Governance. Singapore: Springer. https://doi.org/10.1007/978-981-16-3380-1
OECD, 2019. Artificial Intelligence in Society. Paris: OECD Publishing. https://doi.org/10.1787/eedfee77-en
Floridi, L., Cowls, J., Beltrametti, M., et al., 2018. AI4People – An Ethical Framework for a Good AI Society. Minds and Machines 28: 689–707. https://doi.org/10.1007/s11023-018-9482-5
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