Does an open-plan office actually work? A workplace gap analysis: importance and perceived support of key activities

Abstract

This study aims to investigate the performance of open-plan office layouts and to identify occupants’ concerns in existing open-plan office layouts.,Workplace activity questionnaire (WAQ) was administered in the form of an online survey in March 2019, as part of a design briefing process for the expansion of the office facilities located in Bangalore, India, for a Fortune 100 software technology company. A total of 4,810 questionnaires were distributed and 3,877 responses were received (80.6% response rate). After that, 849 incomplete responses were eliminated from the analysis, resulting in a final sample size of 3,028. The questionnaire included 11 key activities conducted by the office workers and established the gap between the workers’ perceived importance and support from their existing facilities using a five-point Likert scale.,The findings of this study provide strong evidence that different physical environments influence the satisfaction of occupants. An improvement of the facilities, especially by enabling areas for quiet working, should be prioritized in relation to the other activities surveyed. Also, office workers perceived significantly different support levels for quiet working depending on their department, while there was no significant difference between the workers of different buildings.,Individual demographic information was not collected because of the possibility of personal identification. There was also a lack of objective environmental measures, such as temperature and noise level. Thus, the quality of indoor environments was unknown. In this study, some respondents mentioned dissatisfaction with indoor environmental quality, including noise, temperature and air quality in their comments.,In the programming stage of a workplace design process, the WAQ survey tool has value because it renders important insight into the perception of a live workplace, which can then be used to determine priorities for a design effort. It clearly identifies the areas to focus on, ask questions about and develop improvements. Validating its reliability will enhance its credibility and confidence in its use. In addition, the large sample size provides statistical advantages in the data analysis, providing a higher likelihood to find a true positive of the findings of the study. Also, having a relatively high response rate provides an advantage of mitigating the risk of having non-response bias in the analysis.