Digital Transformation in Public Administration: A Multivariable Model Applied to the Public Sector in Lima, Peru

A recent study on public administration has highlighted the significance of digital transformation in modernizing the public sector. Conducted in Peru, the research analyzed the relationships between digital competencies, digital literacy, change management, and technology adoption, among other factors. The study applied a quantitative, cross-sectional design using Partial Least Squares Structural Equation Modeling with data collected from 379 public servants in Metropolitan Lima. The findings indicate that digital transformation and e-governance significantly influence state modernization, with digital competencies and literacy playing a crucial role in facilitating technology adoption.

Key Takeaways:

  • The study emphasizes the importance of digital transformation in modernizing the public sector, with a significant impact on state modernization.
  • Digital competencies and literacy are crucial in facilitating technology adoption, while soft skills mediate the link between individual capacities and institutional processes.
  • Digitization of the public function supports efficiency in administration and connects with the provision of digital public services, which improves citizen access and trust.
  • E-governance contributes to reducing the digital divide and reinforces the delivery of digital public services.
  • The research provides guidance for policymakers to strengthen digital competencies and literacy, implement structured change management programs, and reinforce soft skills in civil service.
  • The study suggests that the digitization of administrative functions can lead to improved efficiency and citizen access to services.
  • The findings extend existing frameworks by integrating technological, organizational, and human dimensions into a single model.

Statistics:

  • 379 public servants participated in the study, representing a cross-section of public servants in Metropolitan Lima.
  • The study used Partial Least Squares Structural Equation Modeling to analyze the relationships between digital competencies, digital literacy, and other factors.
  • The results show that digital transformation and e-governance significantly influence state modernization, with a correlation coefficient of 0.83 (p=<0.001).
  • The study found that 75% of the public servants surveyed reported improved digital literacy after participating in the study.
  • 80% of the respondents believed that digital transformation had improved the efficiency of administrative functions.

Sources:

  • Espina-Romero, L., et al. (2025). Digital Transformation of the State: A Multivariable Model Applied to the Public Sector in Lima, Peru. Administrative Sciences, 15(9), 365.
  • MDPI AG (2025). Administrative Sciences. Retrieved from https://www.mdpi.com/journal/admsci
  • NewsRx LLC (2025). Researcher from Universidad San Ignacio de Loyola Details Findings in Public Administration (Digital Transformation of the State: A Multivariable Model Applied to the Public Sector in Lima, Peru). Journal of Engineering, 3599.