[AISWorld] [ECIS 2025] CfP - Track "Algorithmic Management and Decision-Making"

[Wurm, Bastian]

Dear colleagues,

We would like to invite you to submit your latest research to our track "Algorithmic Management and Decision-Making" (Track 23) at the 33rd European Conference on Information Systems (ECIS 2025), 12-18 June 2025, Amman, Jordan.


==============================



IMPORTANT DATES

Submission Deadline: November 17, 2024

Notification to authors: February 28, 2025



==============================


TRACK DESCRIPTION

In today's digital age, organizations increasingly rely on algorithms to routinely make autonomous, or at least semi-autonomous, decisions (Recker et al. 2021). Algorithms not only regularly coordinate and control how work is performed (Möhlmann et al. 2021; Kellogg et al. 2020) but also can act as supervisors or co-workers to their human counterparts (Tarafdar et al 2023). For example, in the case of Uber, algorithms take on the role of human managers by deciding who is accepted as a driver, assigning rides to individuals, determining fares, etc. (Möhlmann et al. 2021; Wiener et al. 2021; Tarafdar et al. 2023). For organizations, algorithmic decision-making and management can offer substantial benefits, as it allows to scale business models by coordinating huge numbers of employees and automating managerial decision-making (Benlian et al. 2022). Being managed by an algorithm, however, is not always beneficial for employees (Möhlmann et al. 2019). Indeed, algorithmic work has serious dark sides wherein workers can suffer from low well-being as a consequence of role conflict (Tarafdar et al. 2023), lack of autonomy (Wiener, Cram and Benlian, 2021), and technostress (Cram et al. 2022). In response, employees have started to engage in what has been referred to as algoactivism; that is, individual and collective tactics to influence, game, or 'fight back' against algorithms (Kellogg et al. 2020; Jiang et al. 2021).



This track focuses on the implications of algorithmic work for organizations and workers, notably the use of algorithmic decision-making in management as well as how workers respond and cope with this (Benlian et al. 2022; Wiener et al. 2021). The track further invites submissions that focus on the technological and ethical dimensions of algorithmic management at work, such as how algorithmic management systems should be designed in compliance with ethical and regulatory standards (Gal et al. 2020; Spiekermann et al. 2022). Finally, we seek contributions that investigate how algorithmic management affects workers' well-being (Tarafdar et al. 2023), and how they engage in algoactivistic practices (Jiang et al. 2021). Submissions are encouraged from all theoretical and methodological perspectives drawing from IS, management, and related disciplines.



Topics and questions relevant to the track include, but are not limited to:



Conceptual nature of algorithmic management

  *   What are novel and unique aspects of algorithmic work?
  *   Which affordances of information technology enable algorithmic decision-making and management?
  *   How to operationalize key dimensions of algorithmic management (i.e., algorithmic coordination/matching and algorithmic control) in different work contexts?



Design of algorithmic management systems

  *   What ethical principles and values should guide the design, development, and enactment of algorithmic management systems?
  *   What technological infrastructures are required for algorithmic decision-making and management?
  *   How do organizations develop, train, deploy, and adapt algorithms for algorithmic management?



Organizational benefits and/or challenges resulting from the adoption and use of algorithmic management

  *   What are enabling and inhibiting factors for the adoption and use of algorithmic management systems?
  *   How do algorithmic management systems contribute to an organization's collaborative interactions and workplace climate?
  *   What are dark sides and challenges of algorithmic management and how can they be mitigated?



Worker reactions to and collaboration with algorithmic management

  *   How do workers perceive decisions made by algorithms?
  *   How do managers interact with algorithms that manage workers/employees?
  *   What implications does algorithmic work have for worker wellbeing?



Algoactivism

  *   How do workers organize themselves to influence and game algorithms?
  *   What are strategies, tactics, and practices of workers and collectives for algoactivism?
  *   How do workers manipulate algorithms?



==============================



TRACK CHAIRS

Bastian Wurm, LMU Munich School of Management

Alexander Benlian, Technical University of Darmstadt

Monideepa Tarafdar, University of Massachusetts Amherst



==============================



For further information please visit https://ecis2025.eu/track-descriptions/ (Track 23: Algorithmic Management and Decision-Making)



Best regards,

Bastian, Alexander, and Monideepa