Christian Haldrup forsvarer sin Ph.d.-afhandling på Sociologisk Institut
Kandidat
Christian Haldrup, Sociologisk Institut, Københavns Universitet
Titel

Managing Algorithmic Flexibility
- The quality of work and evolving labour market inequalities in the Danish platform economy
Bedømmelseskomite
- Associate Professor Inge Kryger Pedersen (chair), Sociologisk Institut, Københavns Universitet
- Professor Bertil Rolandsson, University of Gothenburg
- Professor Ivana Pais, Universitá, Milan
Vejleder: Associate Professor Anna Ilsøe, University of Copenhagen, KU
Vært
Bente Halkier, Professor, Sociologisk Institut, Københavns Universitet.
Tid og sted
10. juni 2024, kl. 13:00
Auditorium 1.1.18. (Første sal. i bygning 1)
Københavns Universitet, Det Samfundsvidenskabelige Fakultet,Øster Farimagsgade 5A, 1353 København K.
Ph.d.-afhandlingen vil være tilgængelig gennem Academic Books som e-publikation.
Efter forsvaret er Sociologisk Institut vært ved en reception i lokale 16.1.62 fra kl. cirka 15:00.
Engelsk resume (shortened)
The main objective of this dissertation is to study working conditions – the quality of work – over time at digital labour platforms such as Wolt or Hilfr with the Danish labour market as an empirical case.
These platforms have recently gained much attention for providing easy access to tasks and earnings through a digitally mediated infrastructure. However, they have also faced criticism for contributing to labour market inequalities due to their digitalised and unregulated working conditions, which have led to uncertainties in the quality of work in the form of fluctuating working hours and earnings.
Limited access to platform data further complicates studying these contexts, as many platforms are reluctant to share their data with researchers. This dissertation bridges this gap by utilising a working time data series from a total population of food delivery couriers provided by the prominent food delivery platform Wolt. By applying a longitudinal perspective on these data, the dissertation offers novel empirical insights relevant to ongoing discussions on regulating the platform economy and the implications of digitalisation on organisational structures and contemporary working lives.
The dissertation's main contribution is revealing three previously unidentified segments of platform workers with stable and distinct working time patterns, indicating that labour market inequalities are evolving within the platform.
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