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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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