Torna ai risultati
Scheda bibliografica · Consultazione e accesso
Artículo

METHODOLOGY FOR ASSESSING THE EFFECTIVENESS OF PUBLIC ADMINISTRATION USING ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN UKRAINE UNDER MARTIAL LAW CONDITIONS

Marharyta Chabanna · V. N. Karazin Kharkiv National University · 2025

Accesso istituzionale disponibile
Lettura rapida. Controlla i dati essenziali della risorsa e accedi al contenuto con il pulsante principale. La scheda mostra solo le informazioni necessarie per identificare, citare e aprire l’opera.

Accesso alla risorsa

Apri il contenuto dall’opzione principale o scegli un’altra fonte disponibile.

DOAJ DOAJ Articles
Entrar por DOAJ
Accesso principale

Accesso istituzionale disponibile

El acceso puede requerir institución, suscripción, proxy, VPN o autenticación.
Apri accesso

Riepilogo

Descripción general del contenido del recurso.

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.

Come citare

Elegí el formato que necesitás y copiá la referencia al portapapeles.

APA 7

Chabanna, M. (2025). METHODOLOGY FOR ASSESSING THE EFFECTIVENESS OF PUBLIC ADMINISTRATION USING ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN UKRAINE UNDER MARTIAL LAW CONDITIONS. https://doi.org/10.26565/2220-8089-2025-48-02

MLA

Chabanna, Marharyta. "METHODOLOGY FOR ASSESSING THE EFFECTIVENESS OF PUBLIC ADMINISTRATION USING ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN UKRAINE UNDER MARTIAL LAW CONDITIONS." 2025. https://doi.org/10.26565/2220-8089-2025-48-02.

Chicago

Chabanna, Marharyta. 2025. "METHODOLOGY FOR ASSESSING THE EFFECTIVENESS OF PUBLIC ADMINISTRATION USING ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN UKRAINE UNDER MARTIAL LAW CONDITIONS.". https://doi.org/10.26565/2220-8089-2025-48-02.

Harvard

Chabanna, M. 2025, METHODOLOGY FOR ASSESSING THE EFFECTIVENESS OF PUBLIC ADMINISTRATION USING ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN UKRAINE UNDER MARTIAL LAW CONDITIONS, V. N. Karazin Kharkiv National University, available at: https://doi.org/10.26565/2220-8089-2025-48-02 [Accessed 6 Aug. 2026].

Condividi e stampa

Salva la scheda, copia il link permanente o stampala in PDF.

Esporta riferimento

Esporta il record nei formati più comuni per usarlo con un gestore bibliografico.

Dettagli della risorsa

Informazioni bibliografiche utili per verificare che sia il materiale corretto.

Titolo
METHODOLOGY FOR ASSESSING THE EFFECTIVENESS OF PUBLIC ADMINISTRATION USING ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN UKRAINE UNDER MARTIAL LAW CONDITIONS
Autore / collaboratori
Marharyta Chabanna
Editore
V. N. Karazin Kharkiv National University
Anno di pubblicazione
2025
ISSN
2220-8089
ISSN
2220-8089
Lingua
Inglés

Soggetti

Esplora risorse correlate a partire da questi soggetti.

Copiato