This study aims to provide conceptual clarity for the field of Algorithmic HRM (AHRM) and map its evolution from 2000 to 2022. A multidisciplinary synthesis of algorithm concepts results in a General Framework for Algorithmic Decision-Making, which informs a science mapping review of AHRM literature. The study presents frameworks for algorithmic decision-making and AHRM tools, distinguishing between automated and augmented HR decision-making. Findings reveal AHRM's multidisciplinary nature and its current focus on specialized HR applications (workforce planning, learning & development, allocation & scheduling, recruitment), while lacking emphasis on integrative strategic HRM contexts. Implications for organizational strategic decision-making and the need for multidisciplinary research teams are discussed.
Publisher
HUMANITIES AND SOCIAL SCIENCES COMMUNICATIONS
Published On
Feb 23, 2024
Authors
Roslyn Cameron, Heinz Herrmann, Alan Nankervis
Tags
Algorithmic HRM
decision-making
multidisciplinary
strategic HRM
HR applications
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