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Possibilities for Improvement of Administrative Processes in Local Administration

Author

Listed:
  • Katya Kirilova

    (University of National and World Economy, Sofia, Bulgaria)

Abstract

The article presents the results of a survey conducted among municipal administrations on the issues of work processes and their digitization. The theoretical foundations of the problem, as well as the methodology and stages of the study conducted, have been consistently examined. The research focuses on the connection and dependence between work processes and the electronization of services provided by local administrations to citizens and businesses. A questionnaire of 12 questions has been developed and distributed through an internet platform to all municipalities within the Republic of Bulgaria. The questionnaires received with the answers have been processed and appropriate statistical analysis has been performed. Its results have been analyzed and conclusions have been drawn on this basis. The results of the survey can be used as a basis for improving the administrative processes in the local government.

Suggested Citation

  • Katya Kirilova, 2020. "Possibilities for Improvement of Administrative Processes in Local Administration," Ikonomiceski i Sotsialni Alternativi, University of National and World Economy, Sofia, Bulgaria, issue 1, pages 53-70, March.
    • Handle: RePEc:nwe:iisabg:y:2020:i:1:p:53-70
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    File URL: https://www.unwe.bg/doi/alternativi/2020.1/ISA.2020.1.05.pdf
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    Citations

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    Cited by:

    1. Rosen Kirilov, 2021. "Approaches for Building Information Systems for Monitoring the Realization of Students," Economic Alternatives, University of National and World Economy, Sofia, Bulgaria, issue 3, pages 469-481, September.

    More about this item

    Keywords

    administrative services; work processes; information technologies;
    All these keywords.

    JEL classification:

    • H7 - Public Economics - - State and Local Government; Intergovernmental Relations
    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs

    Statistics

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