23942: Behavioral Effects of Algorithmic Human Resource Management

Tuesday, July 29, 2025

13:45 - 15:15 CEST (GMT+2)

Location: Bella Center: Hall C- C3-m6

Session Type: Symposium (panel)
Orientation: Practice,Research
Highlight: Showcase Symposium
Shareable link: https://cdmcd.co/PnYAmD

Organizer(s)

AR

Astrid Reichel

U. of Salzburg, Austria
IS

Isabella Scheibmayr

U. of Salzburg, Austria
JM

Jeroen Meijerink

University of Twente, Netherlands
FD

Felix Diefenhardt

Vienna University of Economics and Business, Austria

Panelist(s)

AC

Andrew Charlwood

University of Leeds, United Kingdom
MJ

Mohammad Hossein Jarrahi

-, United States
JD

James Duggan

Cork U. Business School, Ireland
LL

Laura Lamers

University of Twente
SS

Simon Daniel Schafheitle

U. of Twente, Netherlands

This interactive panel symposium addresses key research gaps in the behavioral effects of algorithmic management (AM) and its intersection with human resource management (HRM), and proposes three future research directions. First, existing studies of algorithmic control in gig work emphasize behavioral resistance, but often neglect how non-algorithmic HRM activities influence work behavior. A strategic HRM perspective can provide insights into how algorithmic decision making interacts with broader HRM systems, thus promoting a holistic understanding of behavioral effects. Second, the dialogue between AM and HRM research could uncover the unique characteristics of algorithmic control, avoiding redundant insights from high-control HRM systems and emphasizing its specificity across workplace contexts. Third, the recursive effects of employee behavior on AM systems, such as feedback loops from employee-generated data, remain underexplored. A panel of internationally renowned experts in the respective streams will stimulate and discuss the relevance of these research gaps and how to explore them.