ANALYSIS OF THE QUALITY OF WORKING LIFE OF A HIGHER EDUCATION INSTITUTION IN THE SOUTH OF SONORA, THROUGH THE ANALYSIS OF ARTIFICIAL NEURAL NETWORKS

Abstract

The purpose of this study is to investigate and analyze the Quality of work life of a Higher Education institution in the South of Sonora, through the analysis of artificial neural networks; where a result of 4.75 was obtained on a scale of one to five; considering it to percentage a general 95% of the study. Where the population under study 58% is married, 51% academic staff, and 49 administrative. With a level of studies 61% postgraduate, 28% undergraduate and 11% preparatory. Regarding the result of the variables, the best evaluated is quality of life with 100%, quality of life at work with 95%, organizational performance with 94% and organizational management with 93%. Regarding the summary of the model, it is observed that there is a significant relationship to the female sex with 55.7% and in terms of the predominant age it ranges between 31 to 40 years with 42.9%. It was possible to observe the correlation of results with the methods used in this research of the focus group and the use of artificial neural networks, obtaining that the most influential dependent variable of the quality of life at work is the type of hiring of contract personnel and being the reagent I am proud of my work that I do in the institution with the highest degree of importance. The model shows the importance of the 100% normalized independent variables of being proud of the work you do in the institution.