论文标题
评估物理环境对办公室舒适和工作满意度的影响
Assessing the Impact of the Physical Environment on Comfort and Job Satisfaction in Offices
论文作者
论文摘要
本文开发了一个模型，该模型允许分析确定办公室员工环境舒适程度的物理参数。考虑了空气质量，噪声，热环境和照明等参数。该模型是通过使用部分最小二乘结构方程模型（PLS-SEM）开发的。按照Hair等人提出的方法，使用了形成性指标（引起构造）和反射指标（由结构引起或影响）。 （2014）。使用在智利航空控制办公室（Dasadgac）中进行的调查中获得的数据估算了该模型。该模型允许评估环境舒适对人们工作满意度的影响。结果表明，使用环境参数会极大地影响环境舒适度，从而解释了其70.2％的差异。此外，还获得了噪声对环境舒适度的影响，被证明大于所研究的其余环境参数的影响，然后是空气质量。另一方面，在经验上证明，环境舒适度会对工作满意度产生重大影响，在这种情况下，使用的环境参数将工作满意度的差异解释为28.9％。
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%.
