Artificial intelligence in human resource development: An umbrella review protocol

Area of Science:

• Information Science
• Human Resource Development
• Artificial Intelligence

Background:

• Artificial intelligence (AI) is increasingly transforming work dynamics, especially within human resource development (HRD).
• Numerous literature reviews exist on AI in HRD, but a collective interpretation remains challenging.
• Existing reviews offer valuable insights but lack a unified synthesis for the HRD domain.

Purpose of the Study:

• To systematically synthesize existing systematic reviews on AI in HRD through an umbrella review methodology.
• To address key research questions on AI's contributions, opportunities, and threats in HRD functions and processes.
• To provide a consolidated understanding for HRD scholars and practitioners on AI implementation.

Main Methods:

• An umbrella review protocol is outlined to systematically synthesize existing reviews on AI in HRD.
• A technology-aided systematic approach will be employed to address the research questions.
• A coding framework will be utilized to synthesize search strategies, data synthesis, and findings from selected systematic reviews.

Main Results:

• The review will synthesize findings from existing systematic reviews on AI's role in HRD.
• It will identify key contributions, opportunities, and threats associated with AI implementation in HRD.
• Insights will be derived from analyzing search strategies and data synthesis approaches of prior reviews.

Conclusions:

• The umbrella review is expected to provide crucial insights for HRD scholars and practitioners.
• It aims to promote continuous improvement in AI-driven HRD initiatives.
• The synthesized findings will contribute to a more cohesive understanding of AI's impact on HRD.