Employee turnover and work environment: A proposal based on neural network

Abstract

The study presents a proposal that measures the work environment of companies and inversely relates it to employee turnover, based on the premise that as working conditions improve, turnover decreases. To gather data, a questionnaire in the form of a Cartesian plane was used, which divides the work environment into two sections: internal and external, each subdivided into two subsections, totaling twenty-four items that assess the work atmosphere. The questionnaires were administered to twelve companies of various sizes, ranging from 20 to 100 employees, operating in different sectors of the economy and distributed across various geographical areas of the state of Puebla, Mexico. The results indicate, among other findings, that a competitive salary policy, along with induction and training programs aimed at integrating staff, contribute to reducing employee turnover in the surveyed companies.