The effects of artificial intelligence on human resource activities and the roles of the human resource triad: opportunities and challenges

For your marketing

Possible founder application

Treat this as evidence for the specific customer behavior and adoption question studied. Compare the setting and sample to your company before changing a growth decision; use a local experiment where the paper does not match your context.

Reported result

What the study found

Synthesizes five main AI effects on HR activities and maps opportunities/challenges across the HR triad; highlights automation, decision support, bias/ethics, changing roles and need for multilevel research.

Research question

What the authors investigated

What does the peer-reviewed literature show about AI’s effects on HR activities and the roles of employees, line managers and HR professionals?

Design

Scoping review of 27 years of literature; searches across four databases; 11,405 initial records, 9,413 screened after deduplication, 811 full texts assessed and 43 peer-reviewed articles included. The included empirical studies comprised 26 quantitative, 12 qualitative and five mixed-methods studies.

Sample and setting

43 articles across 38 journals covering eight HR activity categories; 95.7% intercoder agreement on 20% of coded studies.

Scope and transfer

Limitations to keep in view

Scoping review does not include formal quality assessment; keyword scope and four-database search may omit studies; authors call for broader databases/disciplines and more empirical work.

Research sources

Publisher DOI record and accessible article/abstract directly support the bibliographic record and the summary fields; editorial review remains appropriate for duplicate checking against the unseen 300-study library. Correction notices were not separately verified in this collection; consult the current publisher record before applying the findings.

Additional research source ↗