Miguel Angel Román Martínez García, Nixon Omar Fernández Carrión, Miguel Ángel Pino Gutiérrez, Manuel Fernández Carrión, Glendy Lisbeth Castillo Palomino, Lorenzo Fernández Carrión, Elias Velásquez Rado, Jorge Mejía Dávila
DOI: 10.59427/rcli/2023/v23cs.4543-4552
The objective of the study was to determine the influence of business intelligence on decision making at a private university in the San Martín region, 2023. It was basic, with a non-experimental design (causal correlational). The sample was 134 university employees. Simple random probabilistic sampling was used. The survey was applied as a technique and the questionnaire as an instrument. It also had a quantitative approach and the Ordinal Logistic Regression model was used to measure the level of incidence between the variables. Also the Negelkerke test that corrected the scale of the statistic, the Spearman coefficient that measured the strength and direction of incidence between the variables and the Kendal tau-b coefficient to find the level of variation between variables. SPSS v.27 and Excel software were used to process. It was concluded that business intelligence influences 75.0% of decision making within the university. Furthermore, it is highlighted that both variables present a very high positive correlation (Rho = 0.933; p < 0.01; Tau-b = 0.796; p < 0.01), consolidating the close relationship between business intelligence and decision making at the university.
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