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

Manuel Agurto Montero J. · Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology (2026) · DOI: 10.18687/laccei2026.1.1.569

Resumen

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 (without causal inference). 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 (TD): 20 items) and non-parametric associations were estimated with bootstrap support. The overall relationship was high (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 association replicable and traceable, connecting specific capabilities with facets of the decision-making process in a regulated service of high social responsibility.

Instituciones: Universidad César Vallejo