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The digital transformation of Bulgarian municipal administration in the era of artificial intelligence

Published:12 September 2023Publication History

ABSTRACT

The rate of digital transformation of the public sector is becoming faster, and globally, artificial intelligence is playing an increasingly important role in the process of providing administrative services. Despite progress made in recent years, Bulgaria's digital transformation lags behind global trends. This necessitates a more in-depth study of the process of digitization in public services. The aim of this paper is to analyze the digital transformation in Bulgarian municipalities against the background of the increasing use of artificial intelligence (AI). The tasks are to analyze literary statements about digital transformation and the possibilities of AI in public administration, to conduct research in three stages to define digital profiles in various aspects of digital transformation, and to measure the levels of provision of electronic administrative services in Bulgaria during 2022. As a result, digital profiles have been defined, and the current state of digital transformation in Bulgaria has been mapped.

References

  1. Ahn, J. M., 2021. Intelligence in Public Administration: New Opportunities and Threats. Korean Journal of Public Administration, 30(2).Google ScholarGoogle Scholar
  2. Bril, G. M. K. N. S. A. O.-M. V., 2020. Prospects to create and apply artificial intelligence in the activities of public authorities. s.l., s.n.Google ScholarGoogle Scholar
  3. Corvalán, J. G., 2018. Digital and Intelligent Public Administration: transformations in the era of artificial intelligence. A&C – Revista de Direito Administrativo e Constitucional, 18(71).Google ScholarGoogle Scholar
  4. Du, Y., 2022. On the Transparency of Artificial Intelligence System. Journal of Autonomous Intelligence, 5(1).Google ScholarGoogle ScholarCross RefCross Ref
  5. Erten, Ş., 2021. Toward a New Hybrid Model in Public Administration: Human and Artificial Intelligence. In: Digitalization in Organizations. s.l.:Cambridge Scholars Publishing, pp. 106-126.Google ScholarGoogle Scholar
  6. European Commission, 2022. Digital Economy and Society Index (DESI) 2022, s.l.: s.n.Google ScholarGoogle Scholar
  7. Ganchev, A., 2022. Investment Characteristics of Indonesian Government Bond Market During the COVID-19 Pandemic. Vilnius, Lithuania, VILNIUS GEDIMINAS TECHNICAL UNIV PRESS, TECHNIKASAULETEKIO A1. 11, VILNIUS-40, LT-10233, LITHUANIA, pp. 441-449.Google ScholarGoogle Scholar
  8. Ganchev, A., 2022. The Performance of Hedge Fund Industry During the COVID-19 Crisis – Theoretical Characteristics and Empirical Aspects. Ikonomicheski Izsledvania, 31(1), pp. 18-37.Google ScholarGoogle Scholar
  9. Giulia Leoni, F. B. G. M., 2021. Artificial Intelligence and Local Governments: The Case of Strategic Performance Management Systems and Accountability. In: Artificial Intelligence and Its Contexts. s.l.:s.n., pp. 145-157.Google ScholarGoogle Scholar
  10. Institute for market economics , 2023. egional Profiles - Indicators of Development, s.l.: s.n.Google ScholarGoogle Scholar
  11. Kouziokas, G. N., 2017. Decision Support System Based on Indicators and Artificial Intelligence in Public and Environmental Management. Thessaloniki, Greece, s.n., pp. 649-657.Google ScholarGoogle Scholar
  12. Longo, J., 2022. When artificial intelligence meets real public administration. Canadian Public Administration, 65(4), pp. 384-388.Google ScholarGoogle ScholarCross RefCross Ref
  13. Matthew M Young, J. B. B. J. D. L., 2019. Artificial Discretion as a Tool of Governance: A Framework for Understanding the Impact of Artificial Intelligence on Public Administration. Perspectives on Public Management and Governance, 2(4), p. 301–313.Google ScholarGoogle Scholar
  14. Mehmet Metin Uzun, M. Y. M. Ö., 2022. Big Questions of Artificial Intelligence (AI) in Public Administration and Policy. Journal of Political Sciences, 31(2), pp. 423-442.Google ScholarGoogle Scholar
  15. National Statistical Institute, 2023. Statistical data, s.l.: s.n.Google ScholarGoogle Scholar
  16. Ocaña-Fernández Yolvi, V.-F. L. A. V.-F. M. A. R.-L. R. A., 2021. Artificial intelligence (AI) applied to public management. Metaverse, 2(1).Google ScholarGoogle Scholar
  17. OpenAi, 2022. OpenAi. [Online] Available at: https://openai.com/productGoogle ScholarGoogle Scholar
  18. Petr M. Morkhat, I. V. P. M. V. M. V. K. B. A. O. T., 2019. ARTIFICIAL INTELLIGENCE VERSUS PUBLIC ADMINISTRATION: LIMITATIONS OF APPLICATION. Humanities & Social Sciences Reviews, 7(3).Google ScholarGoogle Scholar
  19. Pszczyński, M., 2020. Administrative Decisions in the Era of Artificial Intelligence. Adam Mickiewicz University Law Review, Volume 11, p. 253–271.Google ScholarGoogle Scholar
  20. Tanja Sophie Gesk, M. L., 2022. Artificial intelligence in public services: When and why citizens accept its usage. Government Information Quarterly, 39(3).Google ScholarGoogle Scholar
  21. Vasileios Yfantis, K. N., 2019. Exploring the implementation of artificial intelligence in the public sector.. International Journal of Machine Learning and Networked Collaborative Engineering, 3(04), pp. 210-218.Google ScholarGoogle ScholarCross RefCross Ref
  22. Yu Lu, X. G., 2022. The Impact of Artificial Intelligence Technology on Market Public Administration in a Complex Market Environment. Wireless Communications and Mobile Computing, Volume 8, pp. 1-13Google ScholarGoogle Scholar

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              cover image ACM Other conferences
              CompSysTech '23: Proceedings of the 24th International Conference on Computer Systems and Technologies
              June 2023
              201 pages
              ISBN:9798400700477
              DOI:10.1145/3606305

              Copyright © 2023 ACM

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              Publication History

              • Published: 12 September 2023

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