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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Method
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Toward an understanding of digital global leadership: the role of digital literacy for managers in multinational contexts
Lauring, J., Jonasson, C., Guttormsen, D. S. A., Hansen, E. G., Siddique, M. H., & Zhang, Y. (2025) · Cross Cultural & Strategic Management · doi:10.1108/ccsm-11-2023-0233 · Cited by 19
The role of artificial intelligence in enhancing firm investment efficiency
Lin, N., Li, A., Geng, Y., Yao, J., & Liu, C. (2025) · International Review of Financial Analysis · doi:10.1016/j.irfa.2025.104830 · Cited by 12
Factors that Affects the Use of AI Agents in Adaptive Learning: A Sociomaterial and Mcdonaldization Approach in the Higher Education Sector
Kazoun, N., Kokkinaki, A. I., & Chedrawi, C. (2022) · Lecture notes in business information processing · doi:10.1007/978-3-030-95947-0_29 · Cited by 12
High-performance work systems and firm innovation: the moderating role of digital technology and employee participation. Evidence from Europe
Curzi, Y., & Ferrarini, F. (2023) · Management Research Review · doi:10.1108/mrr-11-2022-0751 · Cited by 20
Exploring the employees’ behavioral intention towards disruptive technologies: A study in Malaysia
Thoti, K. K. (2024) · Human Resources Management and Services · doi:10.18282/hrms.v6i1.3399 · Cited by 12
Reducing the adverse effects of compulsory citizenship behaviour on employee innovative behaviour via AI usage in China
Duan, W.-Y., Wu, T., Wei, A., & Huang, Y.-T. (2024) · Asia Pacific Business Review · doi:10.1080/13602381.2024.2332731 · Cited by 14
Artificial intelligent technologies in Japanese manufacturing firms: an empirical survey study
Hadid, W., Horii, S., & Yokota, A. (2024) · International Journal of Production Research · doi:10.1080/00207543.2024.2358409 · Cited by 13
The impact of digitalization and virtualization on technology transfer in strategic collaborative partnerships
Sarala, R. M., Tarba, S. Y., Zahoor, N., Khan, H., Cooper, C. L., & Arslan, A. (2024) · The Journal of Technology Transfer · doi:10.1007/s10961-024-10158-7 · Cited by 12
“In today’s dynamic technological environment, it is imperative to seek technological knowledge not only internally but also externally through strategic collaborative partnerships (Cozza & Zanfei, 2016; Tian & Li, 2017; Vrontis et al., 2021).”
Self-citation
Experimental Verification of the Field Robotic System for Pipeline Maintenance
Nguyễn, T. P., Hung, N., Ngo, N. M., & Ngo, H. Q. T. (2025) · IEEE Access · doi:10.1109/access.2025.3529131 · Cited by 14
“This paradigm shift in the field of robotics has been driven by a convergence of breakthroughs in artificial intelligence [13], materials science [14], and advanced engineering [15], leading to the creation of smarter, more adaptable, and more capable robotic systems.”
Embracing Digital Technologies in the Pharmaceutical Industry
Hariry, R. E., & Barenji, R. V. (2023) · Emerging trends in mechatronics · doi:10.1007/978-981-16-7775-5_4 · Cited by 12
Redefining Organizational Culture for the Digital Age: A Model Proposal for Digital Organizational Culture
Gerçek, M., & Özveren, C. G. (2024) · Yildiz Social Science Review · doi:10.51803/yssr.1455398 · Cited by 17
Why might AI-enabled interviews reduce candidates’ job application intention? The role of procedural justice and organizational attractiveness
Luo, W., Zhang, Y., & Mu, M. (2025) · Humanities and Social Sciences Communications · doi:10.1057/s41599-025-05607-z · Cited by 22
“However, candidates have expressed concerns about the effects of AI-enabled interviews in terms of their ability to accurately assess applicants, potential algorithmic discrimination, and favorability among candidates (Suen et al. 2019; Vrontis et al. 2021).”
Influential
The impact of AI on service employees: a systematic review
Cui, S., & Mao, Y. (2026) · Service Industries Journal · doi:10.1080/02642069.2026.2613648 · Cited by 11
“As a technological capability (Kaplan & Haenlein, 2019), AI brings various issues when introduced into the workplace (Vrontis et al., 2022).”
An Efficient Approach of Vehicle Detection Based on Deep Learning Algorithms and Wireless Sensors Networks
Nakkach, C., Zrelli, A., & Ezzdine, T. (2022) · International Journal of Software Innovation · doi:10.4018/ijsi.309722 · Cited by 11
Reinventing Workplace Learning and Development: Envisaging the Role of AI
Naim, M. F. (2023) · Emerald Group Publishing Limited eBooks · doi:10.1108/978-1-80382-027-920231011 · Cited by 11
Analysis of cutting-edge technologies for enterprise information system and management
Gupta, B. B., Gaurav, A., Panigrahi, P. K., & Arya, V. (2023) · Enterprise Information Systems · doi:10.1080/17517575.2023.2197406 · Cited by 11
Designing an AI-Driven Talent Intelligence Solution: Exploring Big Data to Extend the TOE Framework
Faqihi, A. Y. A., & Miah, S. J. (2023) · Lecture notes in computer science · doi:10.1007/978-981-99-2233-8_5 · Cited by 13
Artificial Intelligence (AI) in Hrm (Human Resources Management): A Sentiment Analysis Approach
Hinge, P., Salunkhe, H. A., & Boralkar, M. (2023) · Advances in computer science research · doi:10.2991/978-94-6463-136-4_47 · Cited by 17
Mitigating Age Biases in Resume Screening AI Models
Harris, C. G. (2023) · Proceedings of the ... International Florida Artificial Intelligence Research Society Conference · doi:10.32473/flairs.36.133236 · Cited by 16
“In theory, with AI, hiring decisions can be made on the merits of each candidate, not on biases based on race, gender, or any other protected status (Vrontis et al., 2021).”
Background
ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING ENHANCE ROBOT DECISION-MAKING ADAPTABILITY AND LEARNING CAPABILITIES ACROSS VARIOUS DOMAINS
Hussain, M. D., Rahman, M. H., & Ali, N. M. (2024) · GLOBAL MAINSTREAM JOURNAL · doi:10.62304/ijse.v1i3.161 · Cited by 20
The role of smart technology, managerial initiatives and human factors on sustainable manufacturing: a case study of Indonesian oil and gas workers
Masudin, I., Restuputri, D. P., Amalia, F., & Oktiarso, T. (2024) · Ergonomics · doi:10.1080/00140139.2024.2360095 · Cited by 11
The Implementation of Artificial Intelligence in Human Resources Management
Shouran, Z., & Ali, D. A. (2024) · Journal of International Conference Proceedings · doi:10.32535/jicp.v7i1.2993 · Cited by 16
Cultivating green creativity through training and development in hospitality organizations
Husnain, M., Zhang, Q., Akhtar, M. W., Usman, M., Tariq, A., Huo, C., & Akhtar, M. S. (2024) · Service Industries Journal · doi:10.1080/02642069.2024.2375359 · Cited by 12
“Effective HRM techniques have long been understood (Hamouche, 2021; Tanova & Bayighomog, 2022; Vrontis et al., 2022; Wang et al., 2022).”
Strategic Adoption of Artificial Intelligence for Human Resource Management Practices Transforming Healthcare Sector
Joshi, A., Singh, R., & Rani, S. (2024) · The International Journal of Education Management and Sociology · doi:10.58818/ijems.v3i3.133 · Cited by 13
“In addition, virtual training assistants powered by artificial intelligence can offer customized instruction to both current and new participants, taking into account their individual requirements and preferred methods of learning (Vrontis et al., 2022).”
Background
A temporal evolution of human resource management and technology research: a retrospective bibliometric analysis
Narzary, S., Makhecha, U. P., Budhwar, P., Malik, A., & Kumar, S. (2024) · Person-centered review · doi:10.1108/pr-04-2023-0296 · Cited by 11
Digital automation and working life of HR practitioners: a gender analysis of the implications for workforce and work practices
Persson, M., & Wallo, A. (2024) · Gender Technology and Development · doi:10.1080/09718524.2024.2406039 · Cited by 18
“…phase, digital automation can evaluate candidates’ suitability for a position, streamlining administrative and time-consuming tasks associated with the process (vrontis et al., 2021). this supports chen’s (2023) claim that automating cv reviews reduces common errors when processing many applicants.”
Influential
Why Do Swiss HR Departments Dislike Algorithms in Their Recruitment Process? An Empirical Analysis
Revillod, G. (2024) · Administrative Sciences · doi:10.3390/admsci14100253 · Cited by 17

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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