Algorithmic Management: Its Implications for Information Systems Research

Authors

Lindsey Cameron, Management Department University of Pennsylvania, USA
Laura Lamers, Behavioural Management and Social Sciences University of Twente, Netherlands
Ulrich Leicht-Deobald, Trinity Business School Trinity College Dublin, The University of Dublin, IrelandFollow
Christoph Lutz, Department of Communication and Culture BI Norwegian Business School, Norway
Jeroen Meijerink, Behavioural Management and Social Sciences University of Twente, Netherlands
Mareike Möhlmann, Information and Process Management Department Bentley University, USA

Abstract

In recent years, the topic of algorithmic management has received increasing attention in information systems (IS) research and beyond. As both emerging platform businesses and established companies rely on artificial intelligence and sophisticated software to automate tasks previously done by managers, important organizational, social, and ethical questions emerge. However, a cross-disciplinary approach to algorithmic management that brings together IS perspectives with other (sub-)disciplines such as macro- and micro-organizational behavior, business ethics, and digital sociology is missing, despite its usefulness for IS research. This article engages in cross-disciplinary agenda setting through an in-depth report of a professional development workshop (PDW) entitled “Algorithmic Management: Toward a Cross-Disciplinary Research Agenda” delivered at the 2021 Academy of Management Annual Meeting. Three leading experts (Mareike Möhlmann, Lindsey Cameron, and Laura Lamers) on the topic provide their insights on the current status of algorithmic management research, how their work contributes to this area, where the field is heading in the future, and what important questions should be answered going forward. These accounts are followed up by insights from the breakout group discussions at the PDW that provided further input. Overall, the experts and workshop participants emphasized that future research should examine both the desirable and undesirable outcomes of algorithmic management and should not shy away from posing ethical and normative questions.

DOI

10.17705/1CAIS.05221

Recommended Citation

Cameron, L., Lamers, L., Leicht-Deobald, U., Lutz, C., Meijerink, J., & Möhlmann, M. (2023). Algorithmic Management: Its Implications for Information Systems Research. Communications of the Association for Information Systems, 52, 518-537. https://doi.org/10.17705/1CAIS.05221