Open government and digital transformation as drivers of change management in the regional public service of Peru

Resumen

This article analyzes how Open Government (OG) and Digital Transformation (DT) relate to Change Management (CM) in Peru's regional public service, highlighting that the gap lies not only in the regulations themselves, but also in translating openness and digitalization into verifiable organizational results. Using a quantitative approach, a non-experimental, cross-sectional design, PLS-SEM was applied to latent variables measured with a Likert-type survey. A total of 171 questionnaires were collected with no missing data, and through attention control, an analytical sample of 142 (83.0%) was defined for inference. The measurement shows high consistency (high α/ω; robust CR and AVE) and high HTMT, indicating a close relationship between constructs. The results converge: OG and DT are strongly associated with CM (ρ≈0.93–0.95), and in models, both effects remain significant. TD has greater weight (β=0.65 vs. β=0.33) with R2(GC)=0.92, supporting prioritizing TD capabilities (interoperability and data governance/use) without losing GA's institutional anchor.