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Cited by 537

The DOI matches its Crossref record; 163 of the 163 references it cites were found in a registry or an index.

A systematic literature review on the impact of artificial intelligence on workplace outcomes: A multi-process perspective

Open access
Pereira, Vijay, Hadjielias, Elias, Christofi, Michael, Vrontis, Demetris·2023·Human Resource Management Review
DOI 10.1016/j.hrmr.2021.100857
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Abstract

Abstract Artificial intelligence (AI) can bring both opportunities and challenges to human resource management (HRM). While scholars have been examining the impact of AI on workplace outcomes more closely over the past two decades, the literature falls short in providing a holistic scholarly review of this body of research. Such a review is needed in order to: (a) guide future research on the effects of AI on the workplace; and (b) help managers make proper use of AI technology to improve workplace and organizational outcomes. This is the first systematic review to explore the relationship between artificial intelligence and workplace outcomes. Through an exhaustive systematic review and analysis of existing literature, we ultimately examine and cross-relate 60 papers, published in 30 leading international (AJG 3 and 4) journals over a period of 25 years (1995–2020). Our review researches the AI-workplace outcomes nexus by drawing on the major functions of human resource management and the process framework of ‘antecedents, phenomenon, outcomes’ at multiple levels of analysis. We review the sampled articles based on years of publication, theories, methods, and key themes across the ‘antecedents, phenomenon, outcomes’ framework. We provide useful directions for future research by embedding our discussion within HR literature, while we recommend topics drawing on alternative units of analysis and theories that draw on the individual, team, and institutional levels.

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Cites

Show all 163 references

Research works printed but not linked: 26

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Metadata

Authors
Pereira, V., Hadjielias, E., Christofi, M., & Vrontis, D.
Venue
Human Resource Management Review
Publisher
Elsevier BV
Published
2023-03
Volume
33
Issue
1
Pages
100857
ISSN
1053-4822 (ISSN-L)
DOI
10.1016/j.hrmr.2021.100857
OpenAlex
W3201024510
Cited by
537
References
163
FWCI
11.45
Type
journal article
Language
en
Open access
green
Licence

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CoChat. (2026). Citation check: A systematic literature review on the impact of artificial intelligence on workplace outcomes: A multi-process perspective. https://app.cochat.ai/papers/10.1016/j.hrmr.2021.100857
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Pereira, V., Hadjielias, E., Christofi, M., & Vrontis, D. (2023). A systematic literature review on the impact of artificial intelligence on workplace outcomes: A multi-process perspective. Human Resource Management Review. https://doi.org/10.1016/j.hrmr.2021.100857

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.