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Artificial intelligence (AI) systems and applications based on them
are fast pervading the various functions of an organization. While AI
systems enhance organizational performance, thereby catching the
attention of the decision makers, they nonetheless pose threats of
job losses for human resources. This in turn pose challenges to
human resource managers, tasked with governing the AI adoption
processes. However, these challenges afford opportunities to
critically examine the various facets of AI systems as they interface
with human resources. To that end, we systematically review the
literature at the intersection of AI and human resource
management (HRM). Using the configurational approach, we
Basu, S., Majumdar, B., Mukherjee, K.,
identify the evolution of different theme based causal
Munjal, S., & Palaksha, C. (2022). Artificial
configurations in conceptual and empirical research and the
outcomes of AI-HRM interaction. We observe incremental mutations
Intelligence-HRM Interactions and
in thematic causal configurations as the literature evolves and also
Outcomes: A Systematic Review and Causal
provide thematic configurationbased explanations to beneficial
Configurational Explanation. Human
and reactionary outcomes in the AI-HRM interaction process.
Resource Management Review
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