Knowledge-based decision making and innovation supported by business intelligence in medical centers for driver's licenses (La Libertad) (#569)

Authors

Agurto Montero, Jose Manuel

Abstract

In medical centers authorized by the Ministry of Transport and Communications (MTC) for driver's licenses (Trujillo, La Libertad–2023), an evaluation was conducted to determine if Business Intelligence (BI), conceived as a socio-technical capability, is associated with Decision Making. A quantitative, cross-sectional, and correlational study was developed, working with a census (n=37) of establishments. Likert questionnaires were applied (BI: 9 items; Decision Making: 20 items), and non-parametric associations were estimated using bootstrap support. The overall relationship was very strong (ρ=0.858; p=1.16e−11; 95% CI [0.711, 0.941]); by dimension, D1–V2=0.726, D2–V2=0.652, and D3–V2=0.740, with robustness verified via τ-b=0.729 and leave-one-out sensitivity. The central contribution is to make the BI→TD link measurable, replicable and traceable, connecting specific capabilities with facets of the decision-making process in a regulated service of high social responsibility.