Imam Khomeini International University, Iran.
University of Manitoba, Canada.
Int J Occup Saf Ergon. 2021 Jun;27(2):323-335. doi: 10.1080/10803548.2021.1872334. Epub 2021 Apr 19.
This article aims to develop a method for prioritizing indoor environmental quality parameters in the workplace (i.e., temperature, lighting, acoustics, air quality, layout, furnishing, cleanliness and maintenance) to enhance occupants' workspace satisfaction. Data were collected using a web-based survey of 12 Iranian control centre buildings (CCBs) of combined cycle power plants. The results showed that fewer than half of occupants are satisfied with their workplace. Corrective measures would cost the owners an exorbitant amount of money if they were to try to address all of the parameters. Therefore, a statistical analysis framework was applied to determine each parameter's importance in relation to overall workspace satisfaction. Based on detailed analysis, two levels of importance have been defined for ergonomic modification of each CCB. The statistical approach developed in this study can be applied to all kinds of buildings to determine where ergonomic modification is most likely to produce higher workspace satisfaction.
本文旨在开发一种方法,对工作场所的室内环境质量参数(即温度、照明、声学、空气质量、布局、家具、清洁度和维护)进行优先级排序,以提高员工对工作空间的满意度。研究数据是通过对伊朗 12 座联合循环电厂的控制中心大楼(CCB)进行基于网络的调查收集的。结果显示,不到一半的员工对工作场所感到满意。如果业主试图解决所有参数,纠正措施将花费他们巨额资金。因此,应用了统计分析框架来确定每个参数与整体工作空间满意度的相关性的重要性。基于详细分析,为每个 CCB 的人体工程学修改定义了两个重要性级别。本研究中开发的统计方法可应用于各种建筑物,以确定人体工程学修改最有可能产生更高工作空间满意度的地方。