Managed by Algorithms: How Humans Act, React, and Interact in the Future of Work

Yu-Ping Chen, Maggie minghui Cheng, Pamela Lirio, Simon Pek, Jeroen Meijerink, Xavier Parent-Rocheleau, Yu-Ping Chen, Prakriti Dasgupta, Sibel Ozgen, Oneg Singer

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

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?
Original languageEnglish
JournalAcademy of Management Proceedings
Volume2022
Issue number1
DOIs
Publication statusPublished - 1 Aug 2022

Keywords

  • NLA

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