SMART PUBLIC ORGANIZATIONS: PROPOSITION OF A MATURITY MODEL FOR DIGITAL TRANSFORMATION IN THE PUBLIC SECTOR

Authors

  • Valdomiro Mota Neto
  • Amanda Sousa Santos Mota
  • Maisa Mota Ferraz Chaves Lemes

DOI:

https://doi.org/10.63330/sasciencesv6n2-128

Keywords:

Artificial intelligence, Digital governance, Evidence-based decision making, Maturity model, Smart public organizations

Abstract

Digital transformation has redefined the ability of public organizations to respond to growing demands for efficiency, transparency and evidence-based decision making. Although the integration between data, artificial intelligence (AI) and analytical capabilities has been consolidated as a central element of contemporary public administration, the literature still lacks mature models capable of integrating these dimensions into a framework applicable to the public sector. This article proposes the Maturity Model for Intelligent Public Organizations (MOPI), structured into five dimensions: Data Governance; Artificial Intelligence and Automation; Evidence-Based Decision Making; Institutional Capacity and Human Capital; and Digital Transparency and Accountability. The research is based on a systematic literature review, complemented by bibliometric analysis in the Scopus and Web of Science databases (2013–2023), conducted according to the PRISMA protocol, and content analysis of 147 articles. The time frame includes the consolidation of digital government, open data and artificial intelligence agendas in public administration. The results show the convergence of the five proposed dimensions and the lack of integrative models in the literature. As its main contribution, MOPI organizes these capabilities into five evolutionary levels of maturity, offering a theoretical and managerial framework to guide the planning, implementation and evaluation of digital transformation in public organizations.

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Published

2026-08-17

How to Cite

Mota Neto, V. ., Mota, A. S. S. ., & Lemes, M. M. F. C. . (2026). SMART PUBLIC ORGANIZATIONS: PROPOSITION OF A MATURITY MODEL FOR DIGITAL TRANSFORMATION IN THE PUBLIC SECTOR. South American Sciences, 6(2), e26354. https://doi.org/10.63330/sasciencesv6n2-128