The DOI matches its Crossref record; 94 of the 94 references it cites were found in a registry or an index.
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.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“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
Citations
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.”
Background
Cited by
Sorted by citations
Items 401–500 of 1,135
The Use of Artificial Intelligence ( AI ) in Talent Acquisition: The Case of Greek Luxury Hotels
Marinakou, E., Giousmpasoglou, C., & Papavasileiou, E. F. (2024) · Strategic Change · doi:10.1002/jsc.2632 · Cited by 11
O’Brien, C., Li, Z., Adotey, P. B., & Yohuno, G. (2025) · Current Psychology · doi:10.1007/s12144-025-08064-8 · Cited by 21
Artificial Intelligence in Staffing
Nguyen, L. A., & Park, M. (2022) · Vision The Journal of Business Perspective · doi:10.1177/09722629221096803 · Cited by 14
“AI adoption could change HRM strategic orientations (Vrontis et al., 2021) and fundamentally change our nature of work, affecting all HRM functions, including staffing.”
Technology in Human Resource Functions: Core Systems, Emerging Trends and Algorithmic Management
Jooss, S., Duggan, J., & Parry, E. (2022) · Emerald Group Publishing Limited eBooks · doi:10.1108/978-1-80071-779-420221006 · Cited by 14
How Does the Use of AI in HRM Contribute to Improved Business Performance?
Singh, S., Thakur, P., & Singh, S. (2023) · Advances in human resources management and organizational development book series · doi:10.4018/978-1-6684-6745-9.ch008 · Cited by 14
Artificial Intelligence and Machine Learning for Job Automation
Peng, G., & Bhaskar, R. (2023) · Journal of Database Management · doi:10.4018/jdm.318455 · Cited by 14
Effect of VR Technological Development in the Age of AI on Business Human Resource Management
Unni, M. V., Rudresh, S., Kar, R., Rashmi, B. H., Vasu, V., & Johnson, J. M. (2023) · International Conference on Electronics and Renewable Systems (ICEARS) · doi:10.1109/icears56392.2023.10085258 · Cited by 14
“The literature evaluations that were done in preparation for this research have offered a real knowledge of where Artificial Intelligence currently exists within Human Resource Management and Technical Human Resource Information Systems [11-15].”
BackgroundRetention of tech employees in India: lessons from the extant literature
Haque, F. (2024) · The Learning Organization · doi:10.1108/tlo-03-2023-0050 · Cited by 11
Zhao, G., Kumar, N., Wang, C., & Liu, Z. (2025) · Leadership & Organization Development Journal · doi:10.1108/lodj-03-2025-0177 · Cited by 10
The need for human-centered design for AI robots in urban parks and forests
Jaung, W. (2023) · Urban forestry & urban greening · doi:10.1016/j.ufug.2023.128186 · Cited by 10
Interactive Teaching in Virtual Environments: Integrating Hardware in the Loop in a Brewing Process
Ortiz, J. S., Pila, R. S., Yupangui, J. A., & Rosales, M. (2024) · Applied Sciences · doi:10.3390/app14052170 · Cited by 10
Cabrilo, S., Leung, R., Tsai, F.-S., & Dahms, S. (2024) · Journal of Organizational Change Management · doi:10.1108/jocm-08-2023-0315 · Cited by 11
Digital transformation in human resources management and work-at-home
Pham, N. T., Thúy, V. T. N., Quang, N. H., Tuan, T. H., & Uyen, N. H. (2024) · The Bottom Line Managing Library Finances · doi:10.1108/bl-07-2022-0111 · Cited by 10
The privacy paradox in interactions with service robots in the workplace
Hannig, M., Stock, R., & Knof, M. (2025) · The International Journal of Human Resource Management · doi:10.1080/09585192.2024.2445135 · Cited by 10
[Retracted] A Deep Learning‐Based Framework for Human Resource Recommendation
Ming, L. (2022) · Wireless Communications and Mobile Computing · doi:10.1155/2022/2377143 · Cited by 10
“(2022) [24] AI To organize what academics have”
BackgroundMethodRetractedZhou, Y., & Zou, Y. (2023) · Asia Pacific Journal of Human Resources · doi:10.1111/1744-7941.12369 · Cited by 12
Family business research: A systematic review and an uncelebrated role of marketing
Kinias, I. G., Chalis, S., & Glyptis, L. (2023) · Journal of Business Research · doi:10.1016/j.jbusres.2023.113894 · Cited by 12
The Effect of Industry 4.0 and Artificial Intelligence on Human Resource Management
BULUT, A., & Dinler, Ö. B. (2023) · Uluslararası Doğu Anadolu Fen Mühendislik ve Tasarım Dergisi · doi:10.47898/ijeased.1306881 · Cited by 10
Leka, S., & Jain, A. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5114626 · Cited by 10
Impact of Artificial Intelligence on Employee Development at Basrah University
Noor, N. I. A., Nassreddine, G., & Younis, J. (2023) · Journal of Techniques · doi:10.51173/jt.v5i2.1366 · Cited by 9
Kumar, P., Prakash, K., Dimri, A., Khulbe, M., & Mishra, S. C. (2024) · Benchmarking An International Journal · doi:10.1108/bij-07-2023-0477 · Cited by 14
Murphy, L. (2024) · International journal of organizational analysis · doi:10.1108/ijoa-04-2024-4430 · Cited by 11
Use and understanding of AI in the ART laboratory: an international survey
Palmer, G. A., Paredes, O., Drakeley, A., Chávez-Badiola, A., Woolley, T. E., Kaouri, K., & Cohen, J. (2024) · Reproductive BioMedicine Online · doi:10.1016/j.rbmo.2024.104435 · Cited by 9
THE POTENTIAL OF ARTIFICIAL INTELLIGENCE IN HUMAN RESOURCE MANAGEMENT
Bouhsaien, L., & Azmani, A. (2024) · Applied Computer Science · doi:10.35784/acs-2024-34 · Cited by 9
“Main idea Artificial intelligence, robotics, advanced technologies and human resource management: a systematic review (Vrontis et al., 2022) The impact of AI regarding HR replacement with human-robot/AI collaboration in HRM activities.”
BackgroundYang, C., Tang, C., & Xu, N. (2025) · Journal of Vocational Behavior · doi:10.1016/j.jvb.2025.104123 · Cited by 10
Lee, J.-H., & Jeon, J. (2025) · Asia Pacific Business Review · doi:10.1080/13602381.2025.2487780 · Cited by 9
Pedrami, M., & Vaezi, S. (2025) · Journal of Work-Applied Management · doi:10.1108/jwam-10-2024-0158 · Cited by 8
Digital transformation and knowledge in sustainable employability: A systematic literature review
Shah, M. A. N., & Mola, L. (2025) · Journal of Innovation & Knowledge · doi:10.1016/j.jik.2025.100855 · Cited by 19
Bottesch, S., Schwenke, C., Förster, M., & Klier, M. (2025) · Electronic Markets · doi:10.1007/s12525-025-00842-3 · Cited by 19
“Recent advances in fields such as big data analytics (Hamilton & Sodeman, 2020), machine learning (Garg et al., 2022), and AI as a whole (Vrontis et al., 2022) have created expectations for data-centric, technology-driven approaches that enhance HRM work.”
Pinho, J. C., Fontes, A. S., & Santos, G. G. (2025) · Computers in Human Behavior Reports · doi:10.1016/j.chbr.2025.100924 · Cited by 15
Deciphering the Role of Artificial Intelligence in Health Care, Learning and Development
Varghese, R., Deshpande, A., Digholkar, G., & Kumar, D. (2023) · Emerald Group Publishing Limited eBooks · doi:10.1108/978-1-80455-662-720230010 · Cited by 13
Enhancing Green Recruitment Through Implementing Artificial Intelligence: Zoho Recruitment System
Dawwas, M. I. F., Allaymoun, M. H., & AlZgool, M. (2023) · Studies in systems, decision and control · doi:10.1007/978-3-031-39158-3_1 · Cited by 9
Yadav, P. V., Kollimath, U. S., Giramkar, S. A., Pisal, D. T., Badave, S. S., & Swamy, S. M. (2023) · International Conference on Emerging Smart Technologies and Applications (eSmarTA) · doi:10.1109/esmarta59349.2023.10293625 · Cited by 9
The Role of Digital Literacy in Leadership
Matsunaga, M. (2024) · Future of business and finance · doi:10.1007/978-981-99-8409-1_4 · Cited by 15
Investing in Artificial Intelligence (AI) for Business Leaders to Enhance Decision-Making
Sedky, A. (2024) · Advances in logistics, operations, and management science book series · doi:10.4018/979-8-3693-0712-0.ch005 · Cited by 9
Gig economy and its impact on individual employment: an empirical analysis
Wang, J., Gao, Q., & Zhang, R. (2025) · Humanities and Social Sciences Communications · doi:10.1057/s41599-025-05970-x · Cited by 9
Bazrkar, A., Moradzad, M., & Shayegan, S. (2024) · Studia Universitatis „Vasile Goldis” Arad – Economics Series · doi:10.2478/sues-2024-0009 · Cited by 14
AI-Driven HR Practices: Recent Trends in Digital HR Tools and Their Perceived Benefits
Sharma, S., & Sengupta, S. (2024) · Lecture notes in electrical engineering · doi:10.1007/978-981-97-3442-9_15 · Cited by 8
Diefenhardt, F. (2025) · The International Journal of Human Resource Management · doi:10.1080/09585192.2025.2470302 · Cited by 11
“HRM scholars argue that, on the one hand, ML represents an opportunity to reduce subjective human bias, which is seen as a source of inaccuracy (Garcia-Arroyo & Osca, 2021; Giermindl et al., 2022; Vrontis et al., 2022).”
InfluentialLiu, N., Winne, S. D., Cooman, R. D., Smet, M., & Lattanzi, N. (2025) · The International Journal of Human Resource Management · doi:10.1080/09585192.2025.2509777 · Cited by 9
Watts, S., & Munir, T. (2025) · International Journal of Productivity and Performance Management · doi:10.1108/ijppm-01-2025-0001 · Cited by 14
Challenges and Path Ahead for Artificial Intelligence-aided Human Resource Management
Mohapatra, L. M., Kamesh, A. V. S., & Roul, J. (2023) · Emerald Group Publishing Limited eBooks · doi:10.1108/978-1-80382-027-920231006 · Cited by 9
Frinaldi, A., Putri, N. E., & Embi, M. A. (2023) · Journal of Ethnic and Cultural Studies · doi:10.29333/ejecs/1398 · Cited by 8
Suyanto, E., Fuad, M., Antrakusuma, B., Suparman, S., & Shidiq, A. S. (2023) · International Journal of Information and Education Technology · doi:10.18178/ijiet.2023.13.6.1887 · Cited by 8
“For example, the robot is one of the implementation forms of autonomous technology utilizing artificial intelligence [85–87].”
BackgroundAdoption Of Artificial Intelligence In Talent Acquisition: The Need For The E-Business Environment
Rukadikar, A., Pandita, D., & Choudhary, H. (2023) · International Conference on Business and Industrial Research (ICBIR) · doi:10.1109/icbir57571.2023.10147592 · Cited by 8
“AI has rarely been used to improve employee management practices, even though numerous modern technologies address the challenges of developing systematic automated information support solutions [1].”
BackgroundTurarova, А., Dabyltayeva, N. E., Ruziyeva, E. A., Саханова, Г. Б., & Yelubayeva, Z. M. (2023) · Economies · doi:10.3390/economies11080211 · Cited by 8
Machine Learning and Human Resource Management: A Path to Efficient Workforce Management
Saxena, A., Buhukya, S., Sumalatha, I., Dutt, A., Shaaker, A. M., & Asha, V. (2023) · IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON) · doi:10.1109/upcon59197.2023.10434761 · Cited by 8
Streamlining Talent Management for Modern Business Through Artificial Intelligence
Vapiwala, F., & Pandita, D. (2024) · ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS) · doi:10.1109/icetsis61505.2024.10459450 · Cited by 8
“Resumes can be analyzed using AI-based tools, initial screening of prospective hires, and prediction of their future success [14].”
BackgroundDong, J., Yan, S., & Yang, X.-W. (2024) · Systems · doi:10.3390/systems12090352 · Cited by 8
Promoting Fairness and Ethical Practices in AI-Based Performance Management Systems
Monica, M., Patel, S., Ramanaiah, G., Manoharan, S., & Taufiq-Hail, G. A.-M. (2024) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3693-5380-6.ch007 · Cited by 8
Évolutions de l’intelligence artificielle au travail et collaborations humain-machine
Côté, A.-M., & Su, Z. (2022) · Ad machina l avenir de l humain au travail · doi:10.1522/radm.no5.1413 · Cited by 8
“…de l’IA dans le monde du travail Bien que les technologies d'automatisation intelligente représentent de nombreuses opportunités et des développements positifs pour la GRH et les entreprises, il appert qu’elles engendrent aussi des défis considérables sur le plan éthique (Vrontis et al., 2021).”
İNSAN KAYNAKLARI YÖNETİMİNDE YAPAY ZEKA: BİBLİYOMETRİK BİR ANALİZ
Kişi, N. (2022) · Journal of Research in Business · doi:10.54452/jrb.1113164 · Cited by 8
How Human Resource Managers Can Utilize AI to Promote Employee Well-Being
Chaudhary, M., Sharma, D., Dhiman, M. C., & Chaudhary, A. (2023) · Advances in logistics, operations, and management science book series · doi:10.4018/979-8-3693-0418-1.ch018 · Cited by 8
Bhakuni, S. (2023) · THE SCIENTIFIC TEMPER · doi:10.58414/scientifictemper.2023.14.4.26 · Cited by 8
Sustainable organizational development and human capital in the context of soft systems methodology
Striełkowski, W., Kuzmin, E., Suvorova, A. V., & Gorlova, O. (2024) · Terra Economicus · doi:10.18522/2073-6606-2024-22-1-137-150 · Cited by 7
Human Resource Training and Its Effect on the Integration and Success of Organizational Change
Mızrak, F., & Çaylan, Ş. (2023) · Advances in human resources management and organizational development book series · doi:10.4018/979-8-3693-0235-4.ch006 · Cited by 7
Algorithmic Human Resources Management
Sienkiewicz, Ł. J. (2024) · Springer eBooks · doi:10.1007/978-3-031-58912-6_4 · Cited by 8
Stăneiu, R.-M., Stratone, M.-E., Dabija, D., & Mititean, P. (2024) · Amfiteatru Economic · doi:10.24818/ea/2024/67/721 · Cited by 7
“In fact, AI-based technologies not only simplify the recruitment process, but also make it more rigorous and objective, and less prone to errors or biases in candidate selection (Vrontis, 2022).”
BackgroundAI IN ENGLISH LANGUAGE LEARNING: SAUDI LEARNERS’ PERSPECTIVES AND USAGE
Alqaed, M. A. (2024) · Advanced Education · doi:10.20535/2410-8286.318972 · Cited by 19
Pečiuliauskienė, P. (2025) · Social Sciences & Humanities Open · doi:10.1016/j.ssaho.2025.101304 · Cited by 11
An integrated model examining frontline employee willingness to work with retail service robots
Lin, H. (2025) · Journal of Service Theory and Practice · doi:10.1108/jstp-07-2024-0231 · Cited by 7
The Use of AI in HRM and Management Processes: The Promise of Diversity, Equity, and Inclusion
April, K. A., & Daya, P. (2025) · International perspectives on equality, diversity and inclusion · doi:10.1108/s2051-233320250000012012 · Cited by 10
Redefining Work and Outsourcing in the AI Era
Kumar, M., Nain, N., Dagar, M., Luu, T. M. N., & Kaur, K. (2025) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-1270-5.ch021 · Cited by 8
Wang, Z.-Y., Li, J.-Y., Yang, M.-X., Wang, Y., & Chen, X. (2025) · Asia Pacific Journal of Human Resources · doi:10.1111/1744-7941.70026 · Cited by 6
Herold, M., & Roedenbeck, M. (2025) · SAGE Open · doi:10.1177/21582440251361746 · Cited by 11
“Pan and Froese (2023) focus on the critical evaluation of AI in HRM, whereas Vrontis et al. (2022) concentrate on sys-tematising the academic contributions to clarifying the use of intelligent automation in HR.”
Artificial intelligence applications in human resource management: it is a mixed bag!
Singh, A., & Pandey, J. (2025) · International Journal of Productivity and Performance Management · doi:10.1108/ijppm-09-2024-0599 · Cited by 13
AI adoption in HR: AI trust in digitally lagging organisations
Zoppelletto, A., Orlandi, L. B., Veglianti, E., & Rossignoli, C. (2025) · Journal of Innovation & Knowledge · doi:10.1016/j.jik.2025.100912 · Cited by 11
“The questions were rooted in the relevant literature debating the role of AI and digital technologies inside HR practices (Chowdhury et al., 2023; Jar-rahi, 2018; Pan et al., 2022; Vrontis et al., 2022) and were organised around the four main themes of investigation of this study.”
Zhang, Z., Lin, M., & Liu, X. (2026) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2026.104620 · Cited by 7
A meta-analysis on reactions to algorithmic decision-making in human resource management
Moritz, J. M., Pomrehn, L., Steinmetz, H., & Wehner, M. (2026) · Human Resource Management Review · doi:10.1016/j.hrmr.2026.101135 · Cited by 13
Wang, H., Liu, J., Dong, Z., Song, J., & Zhu, Z. (2023) · Italian Journal of Animal Science · doi:10.1080/1828051x.2023.2236132 · Cited by 8
Wesche, J. S., & Handke, L. (2023) · Personnel Review · doi:10.1108/pr-09-2022-0660 · Cited by 13
Reskilling in the Artificial Intelligence Era
Figueiredo, P. C. N., Alves, M. J. J., & Rouco, C. (2024) · Advances in logistics, operations, and management science book series · doi:10.4018/979-8-3693-0712-0.ch003 · Cited by 7
Tekinsiz Vadi Teorisi Bağlamında Yapay Zeka Etkileyicileri
Erdinç, E. D., & Soydaş, A. U. (2024) · SELÇUK ÜNİVERSİTESİ İLETİŞİM FAKÜLTESİ AKADEMİK DERGİSİ · doi:10.18094/josc.1390778 · Cited by 7
Lorenzo, G., Lorenzo-Lledó, ., & Rodríguez-Quevedo, Á. (2024) · Revista de Educación a Distancia (RED) · doi:10.6018/red.588091 · Cited by 8
Aggarwal, A., Sharma, I., Kukreja, V., Verma, T., & Aggarwal, R. K. (2025) · Global Knowledge, Memory and Communication · doi:10.1108/gkmc-05-2024-0253 · Cited by 7
Jung, H., Yoon, H., & Cho, M. (2025) · Journal of Hospitality and Tourism Technology · doi:10.1108/jhtt-09-2024-0614 · Cited by 6
Sharma, N. K., Kumar, V., Lai, K., & Chen, W.-K. (2022) · International Journal of Technology and Human Interaction · doi:10.4018/ijthi.306230 · Cited by 7
Waskito (2024) · International Journal of Information and Education Technology · doi:10.18178/ijiet.2024.14.3.2057 · Cited by 42
Abbas, S. M., Liu, Z., & Khushnood, M. (2023) · International Journal of Emerging Markets · doi:10.1108/ijoem-07-2022-1140 · Cited by 6
Implementation of artificial intelligence in human resource management practices
Devi, P. R., Anusuya, S., Saraswathi, S., Sophia, M. S. C., Jose, P. C., Jayachandran, T., & Girimurugan, R. (2024) · ITM Web of Conferences · doi:10.1051/itmconf/20246801025 · Cited by 6
Industrial Robotics and the Future of Work
Howard, J., Murashov, V. V., Roth, G., Wendt, C., Carr, J. L., Cheng, M. H., Earnest, S., Elliott, K. C., Haas, E. J., Liang, C., et al. (2025) · American Journal of Industrial Medicine · doi:10.1002/ajim.23729 · Cited by 6
Wang, J., Zhang, J.-H., Zhu, J. N. Y., & Bai, L. (2025) · Computers in Human Behavior Reports · doi:10.1016/j.chbr.2025.100777 · Cited by 9
Thomas, S., Nair, D. S., Joseph, J., Srampical, S. G., & Cleetus, R. S. (2025) · European Public & Social Innovation Review · doi:10.31637/epsir-2026-2044 · Cited by 6
The Emerging Technology in Hiring: Insights from Assembly Line Workers and Managers
Chang, K., & Cheng, K.-T. (2025) · Administrative Sciences · doi:10.3390/admsci15120463 · Cited by 7
Yang, Z., Zhang, Z., & Hu, H. (2026) · Technology in Society · doi:10.1016/j.techsoc.2026.103235 · Cited by 6
Kalantaridis, C., & Küttim, M. (2022) · Technovation · doi:10.1016/j.technovation.2022.102685 · Cited by 6
Yen, C.-S., & Yang, S.-C. (2024) · The Review of Socionetwork Strategies · doi:10.1007/s12626-024-00162-6 · Cited by 8
“Moreover, the research indicates that video production skills are closely related to employment opportunities and contribute to increasing employment opportunities for creative industry professionals [35].”
Unlocking organizational success in the hotel industry: the power of social exchange in HR practices
Khassawneh, O., Mohammad, T., Bourini, I., & Behery, M. H. (2024) · Global Knowledge, Memory and Communication · doi:10.1108/gkmc-11-2023-0439 · Cited by 6
AI Tools in LIS Research: Navigating Opportunities and Challenges for Scholarly Advancement
Maurya, A., & Sinha, P. (2024) · The Serials Librarian · doi:10.1080/0361526x.2024.2400719 · Cited by 6
Boldi, A., Silacci, A., Rapp, A., & Caon, M. (2024) · Behaviour and Information Technology · doi:10.1080/0144929x.2024.2427111 · Cited by 9
Checks and balances: leveraging artificial intelligence for tri-balance personnel selection systems
Zhang, Q. (2025) · The International Journal of Human Resource Management · doi:10.1080/09585192.2025.2498563 · Cited by 11
“Indeed, AI assimilation in staffing inherently demands cross-disciplinary insights (Vrontis et al., 2022).”
InfluentialFrom code to collaboration: influence of artificial intelligence on workforce dynamics
Rastogi, S., & Pandita, D. (2025) · International Journal of Organization Theory and Behavior · doi:10.1108/ijotb-08-2024-0148 · Cited by 6
Bauwens, R., & Batistič, S. (2025) · BRQ Business Research Quarterly · doi:10.1177/23409444251341326 · Cited by 10
“However, the integration of AI into HRM also raises challenges, including concerns about data privacy, fairness, and security, which must be carefully addressed (Prikshat et al., 2023; Vrontis et al., 2021).”
Automation and Public Service Values in Human Resource Management
Persson, M., & Wallo, A. (2022) · Progress in IS · doi:10.1007/978-3-030-92644-1_5 · Cited by 6
Research on "AI+RPA" Interactive Technology of Intelligent Financial Management Platform
Kai, L., Wenxin, L., Zhang, R., Suihua, K., Yan, D., Zhao, M., & Tian, W. (2022) · International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP) · doi:10.1109/iccwamtip56608.2022.10016525 · Cited by 6
“RPA technology defined by IEEE is a kind of software pre-installed in the system[3], which can automatically execute a large number of repetitive tasks according to the established business rules and activity design.”
MethodArtificial Intelligence: Trends and Challenges
Karthick, A. V., & Gopalsamy, S. (2022) · International Conference on Parallel, Distributed and Grid Computing (PDGC) · doi:10.1109/pdgc56933.2022.10053238 · Cited by 6
“The IoT provides the foundation for effectively gathering this data in modern buildings [23] and then evaluating it with tools like AI.”
Liu, J., Ma, X., Zhao, B., Cui, Q., Zhang, S., & Zhang, J. (2023) · Sustainability · doi:10.3390/su151411298 · Cited by 6
Rehman, A. U., Khan, Y., Ahmed, R. U., Ullah, N., & Butt, M. A. (2023) · Heliyon · doi:10.1016/j.heliyon.2023.e18547 · Cited by 6
“One, of the noteworthy applications that enhance our lives is automation employing robotics [4].”
BackgroundRole of Social Media on Government Initiatives Towards Human Resource Development
Shanmugam, V., Gowrishankkar, V., Sibi, S., Sudha Maheswari, T., Vijay Bose, S., Mora, M., Chandramohan, S., Maruthamuthu, M., & Nazeer, I. (2023) · Advances in social networking and online communities book series · doi:10.4018/978-1-6684-7450-1.ch008 · Cited by 6
How the workplace usage of AI in China influences proactive behaviour? The role of pride and shame
Du, Y., Yang, C., Zhao, Y., & Xia, Y. (2024) · Asia Pacific Business Review · doi:10.1080/13602381.2024.2409800 · Cited by 6
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review