Professor Phoebe Moore
![Professor Phoebe Moore](http://www1.essex.ac.uk/people-images/MOORE38401.jpg)
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Email
p.moore@essex.ac.uk -
Telephone
+44 (0) 1206 874591
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Location
EBS.3.5, Colchester Campus
Profile
Qualifications
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PhD University of Nottingham,
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MA International University of Japan,
Appointments
University of Essex
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Professor of Management and the Futures of Work, School of Business, University of Essex (2/5/2022 - present)
Teaching and supervision
Current teaching responsibilities
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International Business Environment (BE413)
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Business and International Development (BE422)
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International Management (BE489)
Current supervision
Publications
Journal articles (7)
Cefaliello, A., Moore, PV. and Donoghue, R., (2023). Making algorithmic management safe and healthy for workers: addressing psychosocial risks in new legal provisions. European Labour Law Journal. 14 (2), 192-210
Moore, PV., (2023). Workers’ right to the subject: The social relations of data production. Convergence. 30 (3), 1076-1098
Moore, PV. and Joyce, S., (2020). Black box or hidden abode? The expansion and exposure of platform work managerialism. Review of International Political Economy. 27 (4), 926-948
Engster, F. and Moore, PV., (2020). The search for (artificial) intelligence, in capitalism. Capital & Class. 44 (2), 201-218
Moore, PV., (2020). The mirror for (artificial) intelligence in capitalism. Capital & Class. 44 (2), 191-200
Moore, PV., Briken, K. and Engster, F., (2020). Machines and measure. Capital & Class. 44 (2), 139-144
Moore, PV., (2018). Tracking Affective Labour for Agility in the Quantified Workplace. Body & Society. 24 (3), 39-67
Book chapters (2)
Donoghue, R., Huanxin, L., Moore, P. and Ernst, E., (2024). AI, regulation, and the world of work: the competing approaches of the US and China. In: Handbook on Public Policy and Artificial Intelligence. Edward Elgar Publishing. 353- 365. 9781803922164
Moore, P., Piwek, L. and Roper, I., (2018). The Quantified Workplace: A Study in Self-Tracking, Agility and Change Management. In: Self-Tracking Empirical and Philosophical Investigations. Editors: Ajana, B., . Springer International Publishing. 93- 110. 9783319653785
Conferences (1)
Moore, PV., (2019). OSH and the Future of Work: Benefits and Risks of Artificial Intelligence Tools in Workplaces
Grants and funding
2023
Study exploring the context, challenges, opportunities, and trends in algorithmic management in the workplace
Visionary Analytics
2022
Promoting Commons Presents and Futures
University of Essex (ESRC IAA)
Overview of policies, research and practices in relation to advanced robotics and AI based systems for automation of tasks and occupational safety and health
Federal Institute for Occupational Safety and Health