Cited by 1,135AI and HR TechnologiesImpact of AI and Big Data on Business and SocietyEmployer Branding and e-HRM

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Artificial intelligence, robotics, advanced technologies and human resource management: a systematic review

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Vrontis, Demetris, Christofi, Michael, Pereira, Vijay, Tarba, Shlomo, Makrides, Anna, Trichina, Eleni·2022·The International Journal of Human Resource Management

DOI 10.1080/09585192.2020.1871398

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Abstract

Although academic production in intelligent automation (e.g. artificial intelligence, robotics) has grown rapidly, we still lack a comprehensive understanding of the impacts of the utilization of these technologies in human resource management (HRM) at an organizational (firms) and individual (employees) level. This study therefore aims to systematize the academic inputs on intelligent automation so far and to clarify what are its main contributions to and challenges for HRM. In a systematic search of 13,136 potentially relevant studies published in the top HRM, international business (IB), general management (GM) and information management (IM) journals, we found 45 articles studying artificial intelligence, robotics and other advanced technologies within HRM settings. Results show that intelligent automation technologies constitute a new approach to managing employees and enhancing firm performance, thus offering several opportunities for HRM but also considerable challenges at a technological and ethical level. The impact of these technologies has been identified to concentrate on HRM strategies, namely, job replacement, human-robot/AI collaboration, decision-making and learning opportunities, and HRM activities, namely, recruiting, training and job performance. This study discusses these shifts in detail, along with the main contributions to theory and practice and directions for future research.

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“Organisational requirements (AI strategy, employee qualifications) are intertwined with ethical issues, including privacy (Vrontis, Christofi, Pereira, Tarba, Makrides, Trichina, 2022).”
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“In addition, various questions also arise from an ethical point of view (Vrontis et al., 2021) and, of course, the corporate culture, organizational aspects, social factors and general acceptance must be taken into account.”
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Authors: Vrontis, D., Christofi, M., Pereira, V., Tarba, S., Makrides, A., & Trichina, E.
Affiliations: University of Nicosia (CY)
NEOMA Business School (FR)
University of Birmingham (GB)
Corresponding author: Christofi, Michael
ORCID: Vrontis, Demetris
Christofi, Michael
Pereira, Vijay
Tarba, Shlomo
Makrides, Anna
Trichina, Eleni
Venue: The International Journal of Human Resource Management
Publisher: Informa UK Limited
Published: 2021-02-12
Volume: 33
Issue: 6
Pages: 1237-1266
ISSN: 0958-5192 (ISSN-L)
1466-4399
DOI: 10.1080/09585192.2020.1871398
OpenAlex: W3130894836
Cited by: 1,134
References: 94
Citations by year: 2026: 233 · 2025: 245 · 2024: 301 · 2023: 229 · 2022: 97 · 2021: 29
FWCI: 27.96
Type: journal article
Language: en
Open access: green
api.elsevier.com
Licence: cc-by-nc-nd
Locations: The International Journal of Human Resource Management (publishedVersion)
University of Birmingham Research Portal (University of Birmingham) (publishedVersion)
Ktisis at Cyprus University of Technology (Cyprus University of Technology) (submittedVersion, cc-by-nc-nd)
Topics: Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › AI and HR Technologies
Social Sciences › Decision Sciences › Management Science and Operations Research › Impact of AI and Big Data on Business and Society
Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Employer Branding and e-HRM
Keywords: artificial intelligence, robotics, intelligent automation, human resource management, human-robot collaboration, job replacement, recruitment, employee training, employee performance, decision-making, ethical considerations, firm performance, high technology

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Artificial intelligence, robotics, advanced technologies and human resource management: a systematic review

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