Abstract

This paper maps the emergence and consequences of automated Algorithmic Performance Management (APM) in the context of higher education. After reviewing the evolution of productivity management in academia, it argues that surveillance via APM shifts expectations not just about effectiveness at work but also about how work, and the good worker, come to be defined. In our paradigmatic case study of Office 365, we specify how the automated surveillance of workforce practices are deployed to redefine productivity in higher education: productive workers become good data subjects as well as producers of papers, grants, and other traditional outputs of success. Our analysis suggests performing well at work is managed in and by the platform via logics of the surveillance of wellness, time-regulation, and social connectivity to influence, manage, and control workers. We critique these automated performance measures in terms of platform capitalism, noting Office 365’s Viva Insights function as a telematic device of surveillance. The final section of the paper places these trends in Australia’s socio-legal context by showing how Viva is insufficient for considering performance given the range of practices that constitute “academic work,” including but not limited to the need for unmonitored activity. Yet, we observe that currently little can be done about Office 365’s surveillant presence given a regulatory regime that by and large excludes productivity surveillance from the scope of regulated surveillance activities.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.