| Issue |
E3S Web Conf.
Volume 403, 2023
XII International Scientific and Practical Forum “Environmentally Sustainable Cities and Settlements: Problems and Solutions” (ESCP-2023)
|
|
|---|---|---|
| Article Number | 08002 | |
| Number of page(s) | 7 | |
| Section | Development of Sustainable Cities: Economic, Social and Humanitarian Aspects | |
| DOI | https://doi.org/10.1051/e3sconf/202340308002 | |
| Published online | 25 July 2023 | |
Quantitative methods for executive public managers
1 Moscow State University of International Relations, Moscow, Russia
2 Financial University under the Government of the Russian Federation, Moscow, Russia
* Corresponding author: tarazevich.home@gmail.com
Digitalization is becoming a priority in the development of the public governance system, and the question arises about the effectiveness and efficiency of management with the introduction of quantitative methods. This article presents a meta-analysis of relevant studies of quantitative methods that are used in the global practice of public administration. The purpose of the study: to determine a set of quantitative methods that will be necessary and sufficient in the decision-making arsenal of a public executive. A selection of two dozen articles was obtained during systematized research and grouped according to the criteria of compliance with a certain quantitative method and compared with the general potential of quantitative methods in relation to public administration. As a result, a classification of quantitative methods is proposed divided into three global classes of mathematical tools, namely, empirical, logical, and special methods. Methods from the classification are correlated with their potential areas of application in public administration. The authors concluded that it is necessary to increase the research, differentiate effective quantitative methods and introduce the necessary special training of managers for the rational application of quantitative methods in the public sphere.
Key words: public governance / quantitative methods / smart government
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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