From bureaucratic management to data-driven management: the role of the information environment in the digital transformation of public administration

Authors

Keywords:

государственное управление, цифровая трансформация, бюрократический менеджмент, менеджмент на основе данных, информационная среда управления, моделирование данных, управление данными, цифровой документооборот, управленческие компетенции

Abstract

This article examines why digitalization often yields limited improvements in public sector governance. It argues that implementing digital technologies fails to automatically enhance organizational control if the document-centric workflow typical of traditional bureaucracy remains unchanged. Transitioning to genuinely data-driven governance requires a fundamental shift not only in information systems but also in how managerial data is conceptualized and structured. Central to this transition is data modeling, which maps administrative activities into interconnected networks of events, roles, states, and outcomes. This approach shifts the operational focus from mere document processing to comprehensive informational support across the entire management cycle. Additionally, the study explores the workforce implications of this digital shift. Structural changes in the information environment demand new competencies from public sector executives and specialists, specifically in data literacy, decision parameterization, and data governance. Ultimately, the practical value of this research lies in its framework for designing data-driven public administration systems and establishing updated competency models for civil servants.
Received: 30 April 2026 · Revised: 11 June 2026 · Accepted: 18 June 2026

Agencies

This research was supported by the 2026 RANEPA state-funded research assignment.

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References

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Brynjolfsson E., Lorin H., Heekyung K. Strength in Numbers: How does data-driven decision-making affect firm performance? // ICIS Proceedings. 2011. N 13. P. 1-33. DOI: 10.2139/ssrn.1819486

Brynjolfsson E., McElheran K. Data in Action: Data-Driven Decision Making in U.S. Manufacturing // US Census Bureau Center for Economic Studies. 2016. Paper N CES-WP-16-06. P. 1-56. DOI: 10.2139/ssrn.2722502

Charalabidis Y., Metaxiotis K. Ontology-Based Management of e-Government Knowledge // Social and Political Implications of Data Mining: Knowledge Management in E-Government. Under the general scientific ed. Rahman H. IGI Global Scientific Publishing, 2009. P. 1-14 DOI: 10.4018/978-1-60566-230-5.ch013

Chen P. The Entity Relationship Model – Toward a Unified View of Data. // ACM Transactions on Database Systems. 1976. Vol. 1(1). P. 311-339.

Davenport T. Competing on analytics // Harvard Business Review. 2006. Vol. 84. N 1. P. 98-107.

Digital Era Governance: IT corporations, the State, and E-Government: A collective monograph / [P. Dunleavy et al.], under the general scientific ed. P. Dunleavy. New York: Oxford University Press, 2006. 289 p.

Fundamentals of Business Process Management / M. Dumas [et al.], under the general scientific ed. J. Mendling. Springer, 2013. 546 p. DOI: 10/1007/978-3-662-56509-4

Hammer M. Reengineering work: Don’t automate, obliterate // Harvard Business Review. 1990. Vol. 68. N 4. P. 104-112. EDN: BIAPWD

Heeks R. ICT4D 3.0? Part 2 – The patterns of an emerging "digital-for-development" paradigm // The electronic journal of information systems in developing countries. 2020. Vol. 86. N 3. P. 1-13. DOI: 10.1002/isd2.12123 EDN: OACZIJ

March J.G., Olsen J.P. The New Institutionalism: Organizational Factors in Political Life // The American Political Science Review. 1983. Vol. 78. N 3. P. 734-749. DOI: 10.2307/1961840

McAfee A., Brynjolfsson E. Big data: the management revolution // Harvard Business Review. 2012. Vol. 90. N 10. P. 60-128.

Norling K. Digital transformation or digital standstill? Status quo bias in Swedish public sector strategies // Transforming Government: People, Process and Policy. 2025. Vol. 19. N 1. P. 91-107. DOI: 10.1108/TG-04-2024-0078 EDN: BZTMIU

Ontology Model for Public Services in Morocco Based on 5W1H Approach: PSOM-eGovMa / H. Benaddi [et al.] // Procedia Computer Science. 2022. Vol. 198. P. 429-434. DOI: 10.1016/j.procs.2021.12.265 EDN: JKCBXX

Simon H.A. Administrative behaviour: A study of decision-making behaviour in administrative organizations. 4th ed. New York: The free press, 1997. 368 p.

Systematic analysis of data governance frameworks and their relevance to data trusts / Acev D. [et al.] // Management Review Quarterly. 2025. July. P. 1-54. DOI: 10.1007/s11301-025-00545-1 EDN: FNJHUM

Ubaldi B., Van Ooijen C., Welby B. A data-driven public sector: Enabling the strategic use of data for productive, inclusive and trustworthy governance // OECD Working Papers on Public Governance. 2019. N 33. P. 1-60. DOI: 10.1787/09ab162c-en

Weber M. Economy and Society: An outline of interpretive sociology. Los Angeles: University of California Press, 1978. 1469 p.

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Published

2026-01-15

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How to Cite

Cherkavskii A.G. From bureaucratic management to data-driven management: the role of the information environment in the digital transformation of public administration // Личность: ресурсы и потенциал. 2026. Vol. 1, no. 2 (30). P. 41–55.