Estudio de los determinantes de satisfacción laboral post COVID, para el aumento de la productividad empresarial en Colombia

Abstract

In economic science, the importance of studying the determinants of job satisfaction arises from empirical evidence showing a close relationship between satisfaction and employee productivity. The central objective of this research is to identify the determinants of job satisfaction in the post-COVID era in Colombia to enhance performance in local organizations. This is achieved through analyzing results from the "Gran Encuesta Integrada de Hogares" (GEIH) survey by DANE, comprising an annual sample of approximately 240,000 households. The survey assessed job satisfaction in Colombia in 2021, following the economic crisis caused by COVID-19.

The methodology of this thesis involves a descriptive statistical analysis of the studied variables and three regressions to identify the determinants of job satisfaction. Since job satisfaction is a binary variable, discrete choice models were applied: i) linear probability model (LPM), ii) Logit model, and iii) Probit model using Statistical Software for Data Science (STATA, 2023). The study concluded that the variables with the most significant impact on job satisfaction were income, compatibility between family and work responsibilities, pensioner status, contributions to Family Compensation Fund, Occupational Risks Administrators (ARL), and the duration of employment at the company. These determinants are identified as fundamental factors for improving performance in local organizations in Colombia.