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Cited by 72E-Government and Public ServicesDigital Economy and TransformationPublic Policy and Administration Research

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Measuring Outcomes of Digital Transformation in Public Administration: Literature Review and Possible Steps Forward

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Dobrolyubova, Elena·2021·NISPAcee Journal of Public Administration and Policy
DOI 10.2478/nispa-2021-0003
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Abstract

Digital transformation is the modern mainstream of social and economic development promising significant digital dividends to citizens and businesses worldwide. The theory highlights the importance of digitalization for optimizing the public value of government services for citizens; however, despite the high enthusiasm about the prospects of digital transformation in public administration, there is little literature on measuring actual benefits this process might provide to all stakeholders concerned. While some recent research suggests high correlation between governance indicators and e-government development, the causality between the two is not confirmed statistically for most public administration indicators. International indices used to measure government digitalization (such as the UN E-Government Development Index) often concentrate only on e-services and are based on measuring the availability rather than the actual use or quality of such modes of service delivery; they concentrate more on measuring G2C and, to some extent, G2B interactions and often omit the effects of digitalization for the G2G and G2E dimensions. The EU Digital economy and society index (DESI) is one of the most advanced cases for measuring the progress of digitalization in the EU, but even in this case the costs of digitalization and potential risks of digital government are not fully accounted for. The paper provides an extensive review of theoretical and practical approaches to measuring government digitalization, identifies key limitations and proposes some steps for enhancing the existing practices. The paper argues that government digital transformation should not be performed for its own sake but should be a means for raising effectiveness and efficiency of public administration. Therefore, both benefits and risks of digital transformation of performing all core government functions for various stakeholders (citizens, businesses, government itself, and public officials) should be accounted for.

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Metadata

Authors
Dobrolyubova, E.
Affiliations
Center for Public Administration Technologies, Russian Presidential Academy of National Economy and Public Administration (RANEPA) , Moscow , Russian Federation .
Venue
NISPAcee Journal of Public Administration and Policy
Publisher
Walter de Gruyter GmbH
Published
2021-05-12
Volume
14
Issue
1
Pages
61-86
ISSN
  • 1337-9038 (ISSN-L)
  • 1338-4309
DOI
10.2478/nispa-2021-0003
OpenAlex
W3161206171
Cited by
72
References
2
Citations by year
2026: 12 · 2025: 19 · 2024: 13 · 2023: 18 · 2022: 9 · 2021: 1
FWCI
34.06
Type
journal article
Language
en
Open access
Licence
Locations
  • NISPAcee Journal of Public Administration and Policy (publishedVersion, cc-by-nc-nd)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
Funders
Russian Presidential Academy of National Economy and Public Administration
Topics
  • Social Sciences › Political Science and International Relations › E-Government and Public Services
  • Social Sciences › Business, Management and Accounting › Strategy and Management › Digital Economy and Transformation
  • Social Sciences › Public Administration › Public Policy and Administration Research
Keywords
digital transformation, public administration, digitalization of public administration, e-government, e-government development index, Digital Economy and Society Index, public value, online services

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Measuring Outcomes of Digital Transformation in Public Administration: Literature Review and Possible Steps Forward. https://app.cochat.ai/papers/10.2478/nispa-2021-0003
The paper
Dobrolyubova, E. (2021). Measuring Outcomes of Digital Transformation in Public Administration: Literature Review and Possible Steps Forward. NISPAcee Journal of Public Administration and Policy. https://doi.org/10.2478/nispa-2021-0003

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.