  This paper develops a model that allows to analyze the physical parameters
that determine the degree of environmental comfort of employees in offices.
Parameters such as air quality, noise, thermal environment, and lighting are
considered. This model was developed through the use of partial least squares
structural equation models (PLS-SEM). Formative indicators (which cause the
construct) and reflective indicators (caused or affected by the construct) were
used, following the methodology proposed by Hair et al. (2014). The model was
estimated using data obtained in surveys conducted in aeronautical control
offices in Chile (DASADGAC). The model allows to evaluate the influence that
environmental comfort has on people's job satisfaction. The results indicate
that the environmental parameters used significantly influence environmental
comfort, explaining 70.2% of its variance. In addition, it was obtained that
the influence of noise on environmental comfort proved to be greater than that
of the rest of the environmental parameters studied, followed by air quality.
On the other hand, it was empirically proven that environmental comfort has a
significant influence on job satisfaction, where the environmental parameters
used explain the variance of job satisfaction by 28.9%.
