TY - JOUR
T1 - Managed by Algorithms: How Humans Act, React, and Interact in the Future of Work
AU - Chen, Yu-Ping
AU - Cheng, Maggie minghui
AU - Lirio, Pamela
AU - Pek, Simon
AU - Meijerink, Jeroen
AU - Parent-Rocheleau, Xavier
AU - Chen, Yu-Ping
AU - Dasgupta, Prakriti
AU - Ozgen, Sibel
AU - Singer, Oneg
PY - 2022/8/1
Y1 - 2022/8/1
N2 - Algorithmic management has rapidly grown to play an influential role in managing workforces in large organizations. Platforms such as Uber, Upwork, and Deliveroo, are now able to coordinate and assign tasks of many workers, provide evaluation and feedback, and maximize the profit of organizations across different industries. While some have incorporated human input and interventions, many have the capacity to make fully automated decisions that are criticized as “human-out-of-the-loop systems”. Despite concerns, criticisms, and challenges, the future of work of algorithmic management is here. This symposium aims at exploring nascent attempts to view humans managed by algorithms (including both employees and managers) as more active, dynamic, and interactive actors of algorithmic management systems. In particular, this stream of research investigates the behaviors, reactions, and interactions of human actors in such systems. We address such questions as: How do app-workers’ experience at work, including emotional resources and self-regulation, fluctuate on a daily basis? How can we incorporate artificial intelligence (AI) in organizations without compromising employee decision-making and work motivation? How can gig workers exercise “voice” and “choice”, and eventually form a collective action against AI platforms? How do managers who formerly made promotion decisions react to those made by AI? How will they react if candidates selected by AI turn out to be underperformers?
AB - Algorithmic management has rapidly grown to play an influential role in managing workforces in large organizations. Platforms such as Uber, Upwork, and Deliveroo, are now able to coordinate and assign tasks of many workers, provide evaluation and feedback, and maximize the profit of organizations across different industries. While some have incorporated human input and interventions, many have the capacity to make fully automated decisions that are criticized as “human-out-of-the-loop systems”. Despite concerns, criticisms, and challenges, the future of work of algorithmic management is here. This symposium aims at exploring nascent attempts to view humans managed by algorithms (including both employees and managers) as more active, dynamic, and interactive actors of algorithmic management systems. In particular, this stream of research investigates the behaviors, reactions, and interactions of human actors in such systems. We address such questions as: How do app-workers’ experience at work, including emotional resources and self-regulation, fluctuate on a daily basis? How can we incorporate artificial intelligence (AI) in organizations without compromising employee decision-making and work motivation? How can gig workers exercise “voice” and “choice”, and eventually form a collective action against AI platforms? How do managers who formerly made promotion decisions react to those made by AI? How will they react if candidates selected by AI turn out to be underperformers?
KW - NLA
U2 - 10.5465/AMBPP.2022.11860symposium
DO - 10.5465/AMBPP.2022.11860symposium
M3 - Article
SN - 0065-0668
VL - 2022
JO - Academy of Management Proceedings
JF - Academy of Management Proceedings
IS - 1
ER -