Employee-workplace alignment: Employee characteristics and perceived workplace requirements

Summary

Purpose – This paper aims to identify the employee characteristics which are most strongly associated with perceived requirements for different aspects of the workplace environment. Design/methodology/approach – A questionnaire was completed by 364 employees from a large private-sector organisation. Respondents were surveyed on different work-related, personality and demographic characteristics. They then completed a series of items measuring perceived requirements for four aspects of the workplace environment (workspace segregation, workspace territoriality, individual environmental control and aesthetic quality). Associations between employee characteristics and perceived workplace requirements were explored using multiple regression analyses. Findings – Numerous significant associations emerged. For example, the requirement for more segregated workspaces was associated with higher susceptibility to distraction, and the requirement for higher workspace territoriality was associated with less positive perceptions regarding the impact of flexible working on work effectiveness. Originality/value – The individual difference factors which moderate satisfaction with the workplace environment have received relatively little attention in past research. The present study addresses this knowledge gap by including a wider range of employee characteristics and comprehensively investigating which of these most strongly predict differences in perceived requirements for the workplace.

Keywords: Workplace; User satisfaction; Productivity; Individual behaviour; Environmental psychology; Workplace psychology
Creators:
Contributors:
Academic units: Faculty of Social Sciences and Humanities (SSH) > Academic Departments > Department of the Natural and Built Environment
Funders:
Funder NameGrant NumberFunder ID
Innovate UKUNSPECIFIED
Copyright Holders: Sheffield Hallam University, Mitie plc
Publisher of the data: SHU Research Data Archive (SHURDA)
Publication date: 29 October 2019
Data last accessed: 3 December 2019
DOI: http://doi.org/10.17032/shu-180013
SHURDA URI: https://shurda.shu.ac.uk/id/eprint/111

Files

Data

README file

Statistics

Altmetrics

Actions (Log-in required)

View item View item