Document Type

Journal Article

Publication Title

Australian Journal of Public Administration

Publisher

Wiley

School

School of Business and Law

Comments

Williamson, S., Jogulu, U., Lundy, J., & Taylor, H. (2024). Will return‐to‐office mandates prevent proximity bias for employees working from home?. Australian Journal of Public Administration. Advance online publication. https://doi.org/10.1111/1467-8500.12634

Abstract

This Practice and Policy article examines return-to-office mandates, the latest human resource controversy. These mandates are an organisational directive for employees who have been working from home to return to working in their employer's premise. Drawing on the literature and our research on working from home and hybrid working, we consider whether mandates may prevent proximity bias. We conclude that mandates requiring employees to return to the office or caps which limit working from home are not only unnecessary, but may have negative consequences. In particular, mandates may cause employee resentment, while caps limit flexibility and autonomy. We therefore do not advocate the use of these mechanisms, and recommend that managers and teams negotiate the appropriate balance of home and office working arrangements. Points for practitioners: Mechanisms which force employees into the office can be seen as an easy and effective way to mitigate proximity bias. However, they can lead to employee resentment. Similarly, capping the number of days employees can work from home can also result in negative consequences, including reduced flexibility and employee autonomy. Enabling managers and teams to collaboratively determine their own in office/working from home arrangements will maintain flexibility and prevent employee resentment. Preventing proximity bias can be achieved through increasing awareness about this emerging form of bias; harnessing communication technologies to moderate visibility regardless of where work is performed; and ensuring performance management systems are based on quantifiable and objective metrics.

DOI

10.1111/1467-8500.12634

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

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