Abstract
The COVID-19 pandemic sped up the digitalization process and revolutionized the world of
the digital employee. And today, advances in artificial intelligence are having a major impact
on the field of Digital HR. In that context, further literature review work is needed on the term
Digital HR to complement previous studies and lay the foundation for more pioneering
literature on this topic. Then, the aim of this paper is to provide a framework for organizing
the main themes discussed in the pioneering literature on digital HR by answering the
following research question: What is the knowledge structure of the research in the field of
digital human resources? An adaptation of the PRISMA model is used to structure the
research design. Applying a mixed methodology, this paper uses a bibliometric technique to
identify the main topics studied in Digital HR. Subsequently, in-depth analysis and logical
reasoning are applied and a model is proposed based on four questions (how, what, where,
who) in order to understand and develop research on digital HR. The RQ4 Digital-HR model
constitutes a useful tool in academic, practical, professional, and social contexts. It is worth
highlighting the importance of the inclusion of artificial intelligence in the daily processes of a
company, and therefore in the progress of the proposed research topic.
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