Innovating Works

AlgoHumanBoss

Financiado
When Humans and Algorithms Co-Supervise Workers: Algorithmic Management Under Co...
When Humans and Algorithms Co-Supervise Workers: Algorithmic Management Under Conventional Employment In recent years, we have been witnessing a move to algorithmic management, in which supervisory tasks—instructing workers; appraising their performance; and determining their compensation—are being delegated to software applicatio... In recent years, we have been witnessing a move to algorithmic management, in which supervisory tasks—instructing workers; appraising their performance; and determining their compensation—are being delegated to software applications. Current understanding of such effects is limited, however, as most research on algorithmic management focuses on gig-economy platforms in which traditional supervisory relationships are absent. The proposed research thus aims to explore: How does the introduction of algorithmic management in traditional organizations—in which algorithms operate alongside rather than instead of a human boss—shape human supervisory relationships and practices? To achieve this objective, I will undertake four subprojects, grounded in an empirical, in-depth qualitative approach. Subproject 1 will develop a theory to describe how the introduction of algorithmic management changes supervisory dynamics in traditional organizations. I will collaborate with five organizations spanning different industries and observe workers and supervisors to uncover their experiences of supervisory relationships. Subproject 2 will provide an articulated account of how algorithmic management changes managerial roles and practices, through interviews with a large sample of managers that implement algorithmic management. Subproject 3 will reveal how workers respond to conflicting directions from humans and algorithms. In this study, workers will participate in simulations of actual workplace dilemmas, created using immersive VR technology. Subproject 4 will address the mitigation of detrimental outcomes of algorithmic management through ethnographic action research. The proposed research will provide ground-breaking insights regarding the emerging yet unexplored phenomenon of algorithmic management in traditional organizations, and it will enable practitioners to effectively and ethically update managerial practices for the age of AI oversight. ver más
30/09/2029
TAU
1M€
Duración del proyecto: 59 meses Fecha Inicio: 2024-10-01
Fecha Fin: 2029-09-30

Línea de financiación: concedida

El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2024-10-01
Línea de financiación objetivo El proyecto se financió a través de la siguiente ayuda:
ERC-2023-STG: ERC STARTING GRANTS
Cerrada hace 2 años
Presupuesto El presupuesto total del proyecto asciende a 1M€
Líder del proyecto
TEL AVIV UNIVERSITY No se ha especificado una descripción o un objeto social para esta compañía.
Perfil tecnológico TRL 4-5