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RAS PresidiumОбщественные науки и современность Obshchestvennye nauki i sovremennost

  • ISSN (Print) 0869-0499
  • ISSN (Online) 2712-9101

Modeling the Efficiency of Nudging in Public Administration

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PII
S27129101S0869049925030101-1
DOI
10.7868/S2712910125030101
Publication type
Article
Status
Published
Authors
A.P. Popova
  • Occupation: Healthcare Analyst
  • Affiliation: Israel Innovation Institute
A.G. Sanina
  • Occupation: Candidate of Sciences (Sociology), Leading Research Fellow, International Laboratory for Digital Transformation in Public Administration
  • Affiliation: National Research University Higher School of Economics (HSE)
A.G. Ataeva
  • Occupation: Candidate of Sciences (Economics), Research Fellow, International Laboratory of Digital Transformation in Public Administration
  • Affiliation: National Research University Higher School of Economics (HSE)
E.V. Rylskikh
  • Occupation: Research Intern, International Laboratory of Digital Transformation in Public Administration
  • Affiliation: National Research University Higher School of Economics (HSE)
Volume/ Edition
Volume / Issue number 3
Pages
134-148
Abstract
The study focuses on developing a predictive model to evaluate efficiency of soft behavioral regulation methods (nudging) in public administration. Despite widespread adoption of nudging techniques in government management globally, the research specifically aimed at identifying and assessing criteria for their efficiency remains limited. The paper analyzes existing approaches to evaluating the efficiency of nudging and proposes a new predictive model based on supervised machine learning techniques. The research involves collecting and processing data related to nudging practices in governmental organizations, determining key factors that influence the efficiency of these methods, and building a predictive model using classification algorithms. The resulting model incorporates 15 essential features and achieves the prediction accuracy of 82%. Findings of this study can be applied in both academic research and practical evaluations of nudging implementations in public administration.
Keywords
мягкие методы поведенческого регулирования наджинг подталкивание поведенческая экономика управление машинное обучение цифровая трансформация
Date of publication
12.05.2025
Year of publication
2025
Number of purchasers
0
Views
15

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