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Artificial intelligence and HRM: identifying future research Agenda using systematic literature review and bibliometric analysis

Author

Listed:
  • Neelam Kaushal

    (National Institute of Technology)

  • Rahul Pratap Singh Kaurav

    (Fortune Institute of International Business (FIIB))

  • Brijesh Sivathanu

    (College of Engineering Pune (COEP))

  • Neeraj Kaushik

    (National Institute of Technology)

Abstract

The present research aims to identify significant contributors, recent dynamics, domains and advocates for future study directions in the arena of integration of Artificial Intelligence (AI) with Human Resource Management (HRM), in the context of various functions and practices in organizations. The paper adopted a methodology comprising of bibliometrics, network and content analysis (CA), on a sample of 344 documents extracted from the Scopus database, to identify extant research on this theme. Along with the bibliometric analysis, systematic literature review was done to propose an Artificial Intelligence and Human Resource Management Integration (AIHRMI) framework. Five clusters were recognized, and CA was conducted on the documents placed in the group of articles. It was found that vital research concentration in this arena is primarily about AI embeddedness in various HRM functions such as recruitment, selection, onboarding, training and learning, performance analysis, talent acquisition, as well as management and retention. The study proposes an AIHRMI framework developed from various studies considered in the current research. This model can provide guidance and future directions for several organizations in expansion of use of AI in HRM.

Suggested Citation

  • Neelam Kaushal & Rahul Pratap Singh Kaurav & Brijesh Sivathanu & Neeraj Kaushik, 2023. "Artificial intelligence and HRM: identifying future research Agenda using systematic literature review and bibliometric analysis," Management Review Quarterly, Springer, vol. 73(2), pages 455-493, June.
    • Handle: RePEc:spr:manrev:v:73:y:2023:i:2:d:10.1007_s11301-021-00249-2
    DOI: 10.1007/s11301-021-00249-2
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    Cited by:

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    More about this item

    Keywords

    Artificial intelligence; Human resource management; Talent management; Bibliometric analysis; Systematic review;
    All these keywords.

    JEL classification:

    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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