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Artificial intelligence, robotics, advanced technologies and human resource management: a systematic review
Open accessAbstract
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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“When AI is used correctly, organizations can build their cultures and that strong cultures can help firms use AI more effectively (Vrontis et al., 2022).”
From Exploring the antecedents of AI adoption for effective HRM practices in the Indian pharmaceutical sector (2023) · cites this paper as Vrontis et al., 2022
In the citing paper
“However, AI’s cognitive capabilities differ significantly from those of traditional e-HRM tools.”
From Exploring the antecedents of AI adoption for effective HRM practices in the Indian pharmaceutical sector (2023) · cites this paper as Vrontis et al., 2022
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Cites
Tranfield, D., Denyer, D., & Smart, P. (2003) · British Journal of Management · doi:10.1111/1467-8551.00375 · Cited by 15,386 · cited 3×
“To delineate research patterns and discern avenues for future studies related to intelligent automation in HRM, we conducted a systematic literature review following the suggestions made by Tranfield et al. (2003) as well as Crossan and Apaydin (2010).”
MethodThe future of employment: How susceptible are jobs to computerisation?
Frey, C. B., & Osborne, M. A. (2017) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2016.08.019 · Cited by 8,727 · cited 1×
“Notably, despite the expectations that these advancements will have a dramatic impact on employment (Frey & Osborne, 2017), our findings suggest that we are still years away from wide-ranging consequences on HRM and levels of employment.”
BackgroundArtificial intelligence in service
Huang, M.-H., & Rust, R. T. (2018) · Journal of Service Research · doi:10.1177/1094670517752459 · Cited by 3,978 · cited 3×
“AI concerns, inter alia, information processing, logical reasoning and mathematical skills (Huang & Rust, 2018).”
BackgroundInfluentialA Multi‐Dimensional Framework of Organizational Innovation: A Systematic Review of the Literature
Crossan, M. M., & Apaydın, M. (2009) · Journal of Management Studies · doi:10.1111/j.1467-6486.2009.00880.x · Cited by 3,667 · cited 3×
“To delineate research patterns and discern avenues for future studies related to intelligent automation in HRM, we conducted a systematic literature review following the suggestions made by Tranfield et al. (2003) as well as Crossan and Apaydin (2010).”
MethodAlgorithms at Work: The New Contested Terrain of Control
Kellogg, K. C., Valentine, M. A., & Christin, A. (2020) · Academy of Management Annals · doi:10.5465/annals.2018.0174 · Cited by 2,732 · cited 1×
“Algorithmic technologies can also help employers direct, evaluate and discipline workers (Kellogg et al., 2020).”
BackgroundThe theory of decision making.
Edwards, W. (1954) · Psychological Bulletin · doi:10.1037/h0053870 · Cited by 2,710 · cited 1×
“First, building on the theory of decision-making (Edwards, 1954) as well as on recent research that has analyzed how data allow HR managers to better informed about employees (Garcia-Arroyo & Osca, 2019), we found that AI algorithms and expert systems facilitate HR processes and allow better…”
Methodvan Doorn, J., Mende, M., Noble, S. M., Hulland, J., Ostrom, A. L., Grewal, D., & Petersen, J. A. (2017) · Journal of Service Research · doi:10.1177/1094670516679272 · Cited by 1,344 · cited 2×
“Van Doorn et al. (2017) argue that situations defined by strong needs for empathy, in which developing original and creative solutions is required or that necessitate high levels of social intelligence are not at high risk for automation and replacement.”
BackgroundLoebbecke, C., & Picot, A. (2015) · The Journal of Strategic Information Systems · doi:10.1016/j.jsis.2015.08.002 · Cited by 1,317 · cited 2×
“In fact, our study responds to several calls to synthesise the current state of knowledge beyond the boundaries of individual academic disciplines in reference to intelligent automation (e.g. AI, machine learning, digitization) and work (Loebbecke & Picot, 2015; Markus, 2015).”
BackgroundLuo, X., Tong, S., Fang, Z., & Qu, Z. (2019) · Marketing Science · doi:10.1287/mksc.2019.1192 · Cited by 1,262 · cited 1×
“…developments, however, are increasingly providing alternatives to human resources in functions traditionally requiring human interaction and communication (Malik et al., 2019; Luo et al., 2019), thereby changing both the organizational structures and the nature of work (Colbert et al., 2016).”
BackgroundInformation Technology and the Changing Fabric of Organization
Zammuto, R. F., Griffith, T. L., Majchrzak, A., Dougherty, D. J., & Faraj, S. A. (2007) · Organization Science · doi:10.1287/orsc.1070.0307 · Cited by 1,213 · cited 1×
“Zammuto et al. (2007) describe five affordances – visualizing entire work processes, real-time/flexible product and service innovation, virtual collaboration, mass collaboration, and simulation/synthetic reality – that can result from this interplay.”
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BackgroundInfluentialDynamics of user engagement: AI mastery goal and the paradox mindset in AI–employee collaboration
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BackgroundXu, J., Wu, T., Duan, W.-Y., & Cui, X. Z. (2025) · Behavioral Sciences · doi:10.3390/bs15070859 · Cited by 35
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BackgroundInfluentialResponsible innovation in Asia: A systematic review and an agenda for future research
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Cui, Y. (2023) · Heliyon · doi:10.1016/j.heliyon.2023.e19274 · Cited by 20
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Du, Q., Ren, Y., Meng, Z.-L., He, H., & Meng, S. (2025) · Journal of Medical Internet Research · doi:10.2196/78186 · Cited by 39
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“According to recent research, AI can benefit companies’ HRM performance by improving their performance (Vrontis et al. 2022).”
RetractedLi, L., Bibi, M., Hussain, Y., & Xiao, D. (2025) · Journal of Environmental Management · doi:10.1016/j.jenvman.2024.123922 · Cited by 24
Digital knowledge engineering for strategy development
Vomberg, A., de Haan, E., Fabian, N. E., & Broekhuizen, T. (2024) · Journal of Business Research · doi:10.1016/j.jbusres.2024.114632 · Cited by 24
Malik, A., Lirio, P., Budhwar, P. S., Nguyen, M., & Fauzi, M. A. (2025) · Personnel Review · doi:10.1108/pr-12-2024-1061 · Cited by 25
Drones and Autonomous Robotics Incorporating Computational Intelligence
Thangamani, R., Suguna, R., & Kamalam, G. K. (2024) · doi:10.1002/9781394175437.ch8 · Cited by 19
Exploring Opportunities for Artificial Intelligence in Organization Development
Park, S., Chai, D. S., Park, J. J., & Oh, J. (2024) · Human Resource Development Review · doi:10.1177/15344843241273231 · Cited by 19
Carter, W., & Wynne, K. T. (2024) · European Management Review · doi:10.1111/emre.12685 · Cited by 31
Mitigating safety challenges in human-robot collaboration: The role of human competence
Jung, K., & Yang, J. (2025) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2025.124022 · Cited by 20
Luzuriaga, E. W. R. (2025) · Ceniiac · doi:10.64923/ceniiac.e0010 · Cited by 18
Woodcock, J. (2022) · Frontiers in Artificial Intelligence · doi:10.3389/frai.2022.888817 · Cited by 18
Han, S., Mo, Y., Liu, Z., Cheng, L., & Ye, Z. (2023) · Annals of Operations Research · doi:10.1007/s10479-023-05774-9 · Cited by 18
Karoui, A. T., Sayari, S., Dammak, W., & Jeribi, A. (2024) · Risks · doi:10.3390/risks12030052 · Cited by 18
Mapping the evolution of algorithmic HRM (AHRM): a multidisciplinary synthesis
Cameron, R., Herrmann, H., & Nankervis, A. (2024) · Humanities and Social Sciences Communications · doi:10.1057/s41599-024-02786-z · Cited by 32
“The remaining three were very specialized, with Verma et al. (2021) exploring the use of big data-driven HR practices; and Vrontis et al. (2021) investigating smart technologies, including robotics and associated automation and HRM. Di Vaio et al. (2020) focused on AI and sustainable development…”
Luo, J., Mu, X., & Zhang, Q. (2024) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2024.104074 · Cited by 18
Service robots, artificial intelligence awareness, self-efficacy and work engagement
Kong, X., Yuan, W., & Ma, C. (2025) · Management Decision · doi:10.1108/md-05-2024-1058 · Cited by 20
Pakhalov, A. M., Antonaras, A., Efthymiou, L., & Memtsa, C. (2025) · EuroMed Journal of Business · doi:10.1108/emjb-11-2024-0290 · Cited by 17
Siachou, E., Papasolomou, I., Trichina, E., & Thrassou, A. (2021) · International Marketing Review · doi:10.1108/imr-02-2021-0095 · Cited by 20
Self-citationArtificial Intelligence: An Advanced Evolution In Forensic and Criminal Investigation
Yadav, S., Yadav, S., Verma, P., Ojha, S., & Mishra, S. K. (2022) · Current Forensic Science · doi:10.2174/2666484401666220819111603 · Cited by 17
Matthew, U. O., Kazaure, A. S., Kazaure, J. S., Hassan, I. M., Nwanakwaugwu, A. C., & Okafor, N. U. (2022) · Journal of Trends in Computer Science and Smart Technology · doi:10.36548/jtcsst.2022.4.002 · Cited by 17
The levels of artificial intelligence application in human resource systems
Ćormarković, T., Dražeta, L., & Njeguš, A. (2022) · The European Journal of Applied Economics · doi:10.5937/ejae19-39535 · Cited by 17
“AI can boost the process of identifying talents, facilitate dealing with a huge number of applicants, eliminate any bias attempts, etc. Vrontis et al. (2021) Artificial Intelligence, Robotics, Advanced Technologies and Human Resource Management: a Systematic Review Understanding the impact of…”
Background
Metadata
- 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
- 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
- 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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