The DOI matches its Crossref record; 52 of the 54 references it cites were found in a registry or an index.
A study of Artificial Intelligence impacts on Human Resource Digitalization in Industry 4.0
Open accessAbstract
Artificial Intelligence (AI) has opened up tremendous opportunities in the workplace through robotics innovation, which envelops both AI and the Internet of Things (IoT). Precision, Efficiency, and Flexibility are considered the potential benefits of Industry 4.0. The implementation of Industry 4.0 requires a lot of changes, including the Human Resource (HR) function. In Industry 4.0, the HR capability is more critical and gives an upper hand to the organization. The HR capability should be more cautious and adaptable to adjust to the difficulties and requirements. We study the contributions of AI in HR digitalization and practices in Industry 4.0. 271 HR experts working in Information Technology (IT), Manufacturing, and administration are selected to participate in this review focusing on five AI applications in HR capability and three elements of HR readiness. The information collected was examined utilizing the Statistical Package for Social Sciences (SPSS) tool and Analysis of Moment Structures (AMOS). The results uncovered that hierarchical organization examination is a fundamental part of acquiring sustainable development. Adaptability and human asset capability are upheld by each of the five components of AI application areas of HR. Well-being and Safety improvement were viewed as vital components under the AI application in HR.
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
“Digital technology enables more effective collection and analysis of employee data, providing deeper insights for better decision making.”
From Digital Transformation in Human Resource Management: A Systematic Literature Review (2023) · cites this paper as Murugesan et al., 2023
In the citing paper
“Research by Murugesan, et al. (2023) shows that manufacturing companies using data analytics in HR management can increase employee productivity through more data-driven decisions.”
From Digital Transformation in Human Resource Management: A Systematic Literature Review (2023) · cites this paper as Murugesan et al., 2023
Citations
Cites
Evaluating structural equation models with unobservable variables and measurement error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.1177/002224378101800104 · Cited by 109,190
Tabachnick, B. G., & Fidell, L. S. (1983) · Cited by 79,882
Structural equation modeling in practice: A review and recommended two-step approach
Anderson, J. C., & Gerbing, D. W. (1988) · Psychological Bulletin · doi:10.1037/0033-2909.103.3.411 · Cited by 41,941
Principles and Practice of Structural Equation Modeling
Tabri, N., & Elliott, C. M. (2012) · Canadian Graduate Journal of Sociology and Criminology · doi:10.15353/cgjsc.v1i1.3787 · Cited by 39,094
On the Evaluation of Structural Equation Models
Bagozzi, R. P., & Yi, Y. (1988) · Journal of the Academy of Marketing Science · doi:10.1007/bf02723327 · Cited by 26,163
A primer on partial least squares structural equation modeling (PLS-SEM)
Leguina, A. (2015) · International Journal of Research & Method in Education · doi:10.1080/1743727x.2015.1005806 · Cited by 18,921
A Review of Scale Development Practices in the Study of Organizations
Hinkin, T. R. (1995) · Journal of Management · doi:10.1177/014920639502100509 · Cited by 3,193
Jourdan, A., & Laffly, D. (2020) · doi:10.1002/9781119720492.ch8 · Cited by 3,170
Artificial Intelligence in Human Resources Management: Challenges and a Path Forward
Tambe, P., Cappelli, P., & Yakubovich, V. (2019) · California Management Review · doi:10.1177/0008125619867910 · Cited by 1,609
The Internet of Things—A survey of topics and trends
Whitmore, A., Agarwal, A., & Da Xu, L. (2015) · Information Systems Frontiers · doi:10.1007/s10796-014-9489-2 · Cited by 1,568
Research works printed but not linked: 23
- Bibi, 2016, Impact of human resource management practices on employee retention in telecom sector, J. Human. Soc. Sci., 21, 26
- Chui, 2010, McKinsey Quarterly, 2, 9
- Nazri, 2019, Predicting academician publication performance using decision tree, Int. J. Recent Technol. Eng., 8, 180
- Reddy, 2019, Artificial Intelligence (AI) in learning and development: A conceptual paper, J. Manag. Dev., 38, 34
- Bakeel, 2020, The impact of artificial intelligence on human resources management, J. Manag. Res., 12, 159
- Wang, 2020, An Artificial Intelligence-enabled health and safety management system for industry 4.0, Safety Sci., 124
- Ngai, 2020, Artificial intelligence applications in healthcare: A thematic analysis, J. Health Manag., 22, 220
- Arias, 2021, Chatbots: The future of HR and employee benefits communication, Benef. Quart., 37, 7
- Subramaniam, 2021, Artificial intelligence in workplace ergonomics: A review of current trends and future research directions, J. Occup. Health Psychol., 26, 135
- Zhang, 2021, Intelligent workplace comfort management based on Internet of Things and Artificial Intelligence, IEEE Access, 9, 143659
- Yu, 2020, An intelligent chair system for personalized sitting comfort management, Sensors, 20, 4478
- Ugwu, 2020, Stress detection in the workplace using artificial intelligence and Internet of Things technologies, J. Amb. Intell. Humanized Comput., 11, 89
- Sharma, 2022, Review on digitalisation and artificial intelligence in human resource function of energy sector, Water Energy Int., 65, 38
- Li, 2023, Real-time performance tracking and improvement for employee engagement using artificial intelligence, J. Bus. Res., 149, 675
- Dolan, 2022, Artificial intelligence and human resource management: Advancing theory and research, J. Manag., 48, 59
- Ye, 2021, Analyzing and visualizing organizational networks with deep learning and social network analysis, Inform. Manag., 58
- Lei, 2020, A social media-based approach for organizational network analysis, J. Bus. Res., 112, 1
- Vishwakarma, 2023, Employee engagement and collaboration: an empirical investigation of factors influencing in the age of AI, J. Bus. Res., 151, 666
- Yu, 2023, An intelligent network analysis for organizational collaboration improvement, IEEE Access, 11, 24609
- Naveen, 2020, Impact of wearables and IoT on employee health and wellness, Bus. Today
- A. Barman, K. Das, Internet of Things (IoT) as the Future Smart Solution to HRM-How would wearable IoT bring organisational efficiency, in: International Conference Dec, 2018.
- Yawson, 2019, Organisational agility: A review of the literature, J. Manag. Strat., 10, 33
- Gupta, 2020, Exploring relationship between employees well-being and green IOT using structural equation modeling, Innovation, 29, 2590
Cited by
Sorted by citations
Human Resource Management Strategies in Achieving Competitive Advantage in Business Administration
Agustian, K., Pohan, A., Zen, A., Wiwin, W., & Malik, A. J. (2023) · Journal of Contemporary Administration and Management (ADMAN) · doi:10.61100/adman.v1i2.53 · Cited by 98
The Future of Work: Implications of Artificial Intelligence on Hr Practices
Vishwanath, S. V. D. B. (2023) · Journal of Propulsion Technology · doi:10.52783/tjjpt.v44.i3.562 · Cited by 66
Artificial intelligence in stroke rehabilitation: From acute care to long-term recovery
Kopalli, S. R., Shukla, M., Jayaprakash, B., Kundlas, M., Srivastava, A., Jagtap, J., Gulati, M., Chigurupati, S., Ibrahim, E., Khandige, P. S., et al. (2025) · Neuroscience · doi:10.1016/j.neuroscience.2025.03.017 · Cited by 58
Sandeep, M. M., Lavanya, V., & Balakrishnan, J. (2025) · Journal of Intellectual Capital · doi:10.1108/jic-05-2024-0155 · Cited by 61
Ionescu, Ș., Delcea, C., Chiriță, N., & Nica, I. (2024) · Algorithms · doi:10.3390/a17010021 · Cited by 41
Kekez, I., Lauwaert, L., & Ređep, N. B. (2025) · Technology in Society · doi:10.1016/j.techsoc.2025.102818 · Cited by 47
AI adoption for green performance: An understanding of moderated mediation model
Azhar, A., Rehman, N., Alyas, T., & Makki, B. I. (2025) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2025.104191 · Cited by 28
Zahoor, S., Chaudhry, I. S., Yang, S., & Ren, X. (2024) · Artificial Intelligence Review · doi:10.1007/s10462-024-11013-9 · Cited by 45
Choudhary, P., & Chauhan, S. (2023) · Decision Analytics Journal · doi:10.1016/j.dajour.2023.100359 · Cited by 35
Hajipour, V., Hekmat, S., & Amini, M. (2023) · Decision Analytics Journal · doi:10.1016/j.dajour.2023.100302 · Cited by 32
Meharunisa, S., Almugren, H. Z., Sarabdeen, M., Mabrouk, F., & Kijas, A. C. M. (2024) · Frontiers in Psychology · doi:10.3389/fpsyg.2024.1432541 · Cited by 22
Traditional to digital: human resource management transformation
Bindra, S., Bhattacharya, S., & Bhattacharya, S. (2025) · Journal of Work-Applied Management · doi:10.1108/jwam-02-2025-0019 · Cited by 53
Badawy, W. (2023) · AI and Ethics · doi:10.1007/s43681-023-00376-4 · Cited by 22
Use of ChatGPT as a Decision Support Tool in Human Resource Management
Iswahyudi, M. S., Nofirman, N., Wirayasa, I. K. A., Suharni, S., & Soegiarto, I. (2023) · Jurnal Minfo Polgan · doi:10.33395/jmp.v12i1.12869 · Cited by 19
AI and Human Resources in a Literature-Driven Investigation Into Emerging Trends
Iancu, C. L., & Oprea, S. (2025) · IEEE Access · doi:10.1109/access.2025.3568338 · Cited by 23
Revolutionizing Education With AI
Awashreh, R. A., & Almi, H. (2025) · IGI Global eBooks · doi:10.4018/979-8-3693-9440-3.ch006 · Cited by 21
HR analytics and AI adoption in IT sector: reflections from practitioners
Sharma, P., Bhattacharya, S., & Bhattacharya, S. (2025) · Journal of Work-Applied Management · doi:10.1108/jwam-12-2024-0179 · Cited by 41
Kurniawan, B., Marnis, Samsir, S., & Jahrizal, J. (2025) · Sustainability · doi:10.3390/su17219904 · Cited by 30
Storozhyk, M. (2024) · Futurity Philosophy. · doi:10.57125/fp.2024.03.30.02 · Cited by 17
Human resource managers’ perceptions on the impact of AI on the South African workforce
Poisat, P., Cullen, M., & Calitz, A. P. (2024) · SA Journal of Human Resource Management · doi:10.4102/sajhrm.v22i0.2593 · Cited by 22
The Impact of Artificial Intelligence on Human Workers
Farhan, A. (2023) · Journal Of Communication Education · doi:10.58217/joce-ip.v17i2.350 · Cited by 16
Panda, G., Aggarwal, S., Kaswan, M. S., & Dhillon, K. (2024) · International Journal of Lean Six Sigma · doi:10.1108/ijlss-07-2024-0159 · Cited by 16
Intelligent Process Automation Using Artificial Intelligence to Create Human Assistant
Zaidi, S. M. H., Iqbal, R., Alharbi, A. A., Zuberi, H. H., Ahmed, A., & Sheikh, M. U. (2025) · International Journal of Software Science and Computational Intelligence · doi:10.4018/ijssci.371761 · Cited by 13
Yuman, Y., Goyal, S. B., Rajawat, A. S., Manoj Kumar, M., Shankar, A., Alhayan, F., & Basheer, S. (2024) · Wireless Networks · doi:10.1007/s11276-024-03770-w · Cited by 12
Joshi, A., Singh, R., & Rani, S. (2024) · The International Journal of Education Management and Sociology · doi:10.58818/ijems.v3i3.133 · Cited by 13
O’Brien, C., Li, Z., Adotey, P. B., & Yohuno, G. (2025) · Current Psychology · doi:10.1007/s12144-025-08064-8 · Cited by 21
Santiago-Torner, C., Corral-Marfil, J., & Tarrats-Pons, E. (2025) · Societies · doi:10.3390/soc16010006 · Cited by 8
Maindola, S., Bangwal, D., Singh-Oberoi, S., & Kumar, R. (2026) · International Journal of Quality and Service Sciences · doi:10.1108/ijqss-09-2025-0245 · Cited by 4
"Graduates' Perspectives on AI Integration
Parveen, M., & Alkudsi, Y. M. (2024) · IJERI International Journal of Educational Research and Innovation · doi:10.46661/ijeri.10651 · Cited by 16
HOW IS ARTIFICIAL INTELLIGENCE CHANGING HR? ADAPTIVE MANAGEMENT FOR THE NEW ENVIRONMENT
Antoniuk, D., Ivens, B. S., & Kolyada, O. (2025) · Baltic Journal of Economic Studies · doi:10.30525/2256-0742/2025-11-2-13-26 · Cited by 10
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
Enhancing Employee Productivity Through Technology System AI-Based Approaches
Fitri, D., Ratnasari, S. L., Suyanto, S., & Sultan, Z. (2023) · Proceeding of The International Seminar on Business Economics Social Science and Technology (ISBEST) · doi:10.33830/isbest.v3i1.1236 · Cited by 10
Zúñiga, E. R., Yasue, N., Hirose, T., Nomoto, H., & Sawaragi, T. (2023) · Decision Analytics Journal · doi:10.1016/j.dajour.2023.100323 · Cited by 10
Pedrami, M., & Vaezi, S. (2025) · Journal of Work-Applied Management · doi:10.1108/jwam-10-2024-0158 · Cited by 8
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
Ekimova, K. V. (2023) · Humanities and Social Sciences Communications · doi:10.1057/s41599-023-02444-w · Cited by 12
AI adoption and ESG performance: Evidence from China
Yang, G., & Yang, X. (2025) · International Review of Economics & Finance · doi:10.1016/j.iref.2025.104659 · Cited by 8
Potharaju, S. P., Wukkadada, B., Nijhawan, G., Aparaj, S., Sharma, K., Lakkimsetty, N. R., Veerapaneni, M. L., & Behera, A. P. (2026) · Discover Sustainability · doi:10.1007/s43621-026-02698-9 · Cited by 8
Kuswara, Z., Pasaribu, M., Fitriana, F., & Santoso, R. A. (2024) · Jurnal Ilmu Keuangan dan Perbankan (JIKA) · doi:10.34010/jika.v13i2.12730 · Cited by 14
Navigating the digital evolution of HRM: an integrative review
Bhardwaj, S., Chopra, R., & Pandita, D. (2025) · The International Journal of Organizational Analysis · doi:10.1108/ijoa-10-2024-4895 · Cited by 10
Alshahrani, S., Choukir, J., Albelali, S., & AlShalhoob, A. A. (2025) · Sustainability · doi:10.3390/su17135815 · Cited by 19
Üretken Yapay Zekânın İşletmelerde Kullanımı: Fırsatlar ve Tehditler
Yastıoğlu, S. (2023) · Özgür Yayınları eBooks · doi:10.58830/ozgur.pub137.c1391 · Cited by 8
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
A framework for ethical AI-HRM development and use
Davidson, J., Schnepp, J. C., Buttrick, H. G., & Gupta, A. (2025) · AI and Ethics · doi:10.1007/s43681-025-00858-7 · Cited by 8
Al‐Alawi, A. I., & Albuainain, M. S. (2024) · ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS) · doi:10.1109/icetsis61505.2024.10459566 · Cited by 10
Ryketeng, M., Syachbrani, W., & Syamsuri (2023) · Journal of Contemporary Administration and Management (ADMAN) · doi:10.61100/adman.v1i3.86 · Cited by 6
Reconceptualizing HR change agency: introducing a framework and propositions for future research
Finnholm, J., Wallo, A., Allard, K., & Tengblad, S. (2024) · Personnel Review · doi:10.1108/pr-05-2024-0446 · Cited by 5
Grigoryan, A., Melkumyan, A., Karapetyan, L. V., Sahakyan, M., Badalyan, M. V., & Gabrielyan, B. (2025) · Problems and Perspectives in Management · doi:10.21511/ppm.23(4).2025.11 · Cited by 5
Hussein, J. B., Workneh, T. S., Kassim, A., Mugodo, K., Melesse, S. F., & El‐Mesery, H. S. (2026) · Food Engineering Reviews · doi:10.1007/s12393-026-09445-w · Cited by 6
HR 4.0: Role of AI in transforming HRM
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/esmarta59349.2023.10293704 · Cited by 11
HOW AI IS RESHAPING EMPLOYEE TRAINING AND DEVELOPMENT: INSIGHTS FROM HR PROFESSIONALSPreprint
Chowdhury, M. S. A., Barsa, N. J., Fuad, M. N., Nath, A., Khan, S. R., & Aziz, F. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5220821 · Cited by 5
Sawangchai, A., Khalid, R., Raza, M., Alshuaibi, M. S. I., Valeri, M., & Kasuma, J. (2024) · Journal of Family and Economic Issues · doi:10.1007/s10834-024-09984-6 · Cited by 4
Mohanty, V., & Kulkarni, M. B. (2025) · Advances in human resources management and organizational development book series · doi:10.4018/979-8-3693-7848-9.ch010 · Cited by 4
Exploring the role of artificial intelligence in orthopedic medical education: A narrative review
Das, L. S., Das, D., Chandrakar, D., Bhavani, P., Dubepuria, A., & Barik, S. (2025) · Journal of Clinical Orthopaedics and Trauma · doi:10.1016/j.jcot.2025.103100 · Cited by 4
Abdelouahab, A. B., Chaibi, A., Haman, S., Bentassil, Z., Elouadi, A., & Moumen, A. (2024) · International Conference on Intelligent Systems and Computer Vision (ISCV) · doi:10.1109/iscv60512.2024.10620117 · Cited by 4
Lodra, R. S., Padhana, T., & Kristin, D. M. (2024) · International Conference on ICT for Smart Society (ICISS) · doi:10.1109/iciss62896.2024.10751529 · Cited by 9
Yoşumaz, İ. (2024) · Current Research in Social Sciences · doi:10.30613/curesosc.1393698 · Cited by 4
Challenges and Management Practices in Protecting Employee Personal Data in the Digital Era
Hadi, S., Purnasari, E., Hidayat, R., Lukitaningsih, A., Kirana, K. C., & Siripipatthanakul, S. (2025) · IGI Global eBooks · doi:10.4018/979-8-3693-9720-6.ch004 · Cited by 4
Frameworks for AI Integration in HR and Workforce Adaptation
Madanchian, M. (2025) · Procedia Computer Science · doi:10.1016/j.procs.2025.04.330 · Cited by 9
Elevating Public Sector HR: A Comprehensive Exploration of E-HRM Adoption Drivers
Al-Hayani, R. F., & AL-Wattar, A. H. (2024) · International Research Journal of Innovations in Engineering and Technology · doi:10.47001/irjiet/2024.803009 · Cited by 4
Will artificial intelligence threaten humanity?
Farahani, M. S., & Ghasemi, G. (2024) · Sustainable Economies · doi:10.62617/se.v2i2.65 · Cited by 4
Türkiye’de Dijital Okuryazarlık Üzerine Yapılmış Lisansüstü Tezlerin İncelenmesi
Açıkgöz, M. N., & KILINÇ, E. (2023) · Özgür Yayınları eBooks · doi:10.58830/ozgur.pub137.c1390 · Cited by 3
Wang, Y., Zheng, P., Guan, Y., & Zhang, Q. (2026) · Scientific Reports · doi:10.1038/s41598-026-43102-w · Cited by 4
Constraints and Enablement of Workplace Digitalisation: An Integrative Review
Bangura, S., & Lourens, M. E. (2024) · International Journal of Business & Management Studies · doi:10.56734/ijbms.v5n5a11 · Cited by 5
AI-Enhanced Strategies for Workforce Involvement
Gowda, K. R., Kureethara, J. V., & Jaiwant, S. V. (2024) · Advances in human resources management and organizational development book series · doi:10.4018/979-8-3693-6412-3.ch003 · Cited by 3
Dijital Dönüşümde Güncel Yaklaşımlar: Türkiye ve Dünya Örnekleri
Başar, R. (2023) · Özgür Yayınları eBooks · doi:10.58830/ozgur.pub137.c1388 · Cited by 4
Artificial intelligence and human capital: A review
Karunakaran, N., & Pradeep, K. V. (2024) · Journal of Management Research and Analysis · doi:10.18231/j.jmra.2024.025 · Cited by 3
Urbina, J. D. C. L. (2025) · Revista Cientifica de Sistemas e Informatica · doi:10.51252/rcsi.v5i1.889 · Cited by 7
The Role of Artificial Intelligence in Modern Human Resource Management: A Review
Dubey, P. (2023) · International Journal of Innovations in Science Engineering and Management. · doi:10.69968/ijisem.2023v2i459-64 · Cited by 3
Digital Transformation in Human Resource Management: A Systematic Literature Review
Indra Bratamanggala, R. (2023) · Siber International Journal of Education Technology (SIJET) · doi:10.38035/sijet.v1i2.57 · Cited by 6
“Research by Murugesan, et al. (2023) shows that manufacturing companies using data analytics in HR management can increase employee productivity through more data-driven decisions.”
Dwivedi, P., Shrivastava, U., & Nair, S. J. (2024) · Discover Public Health · doi:10.1186/s12982-024-00137-6 · Cited by 2
Artificial Intelligence in Human Resource Management Through a Bibliometric Lens
Anayat, S. (2025) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3693-6507-6.ch007 · Cited by 2
Aboramadan, M., Alhabil, W., Dahleez, K. A., & Alawi, A. M. M. A. (2025) · Global Knowledge, Memory and Communication · doi:10.1108/gkmc-04-2024-0217 · Cited by 2
Gamaliel, R. T. (2025) · Springer proceedings in business and economics · doi:10.1007/978-981-96-2548-2_20 · Cited by 2
The Ethical Implications of AI in Human Resources
Khanal, K. (2025) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-3104-1.ch001 · Cited by 2
Mohamud, A. J., Mohamed, J. H., & Mohamed, M. D. (2025) · Journal of Enterprise Information Management · doi:10.1108/jeim-08-2025-0734 · Cited by 4
Integrating socio-technical perspectives in digital transformations in sales: a research agenda
Sathiskumar, N. N., Andersen, P. H., Rangarajan, D., & Bekamiri, H. (2026) · The Journal of Marketing Theory and Practice · doi:10.1080/10696679.2026.2681530 · Cited by 2
Türkiye’de Gümrük İşlemlerinde Dijitalleşme Üzerine Bir İnceleme
Seymen, T., & Sözüer, A. (2023) · Özgür Yayınları eBooks · doi:10.58830/ozgur.pub137.c1386 · Cited by 2
Stratejik Yönetim Perspektifinde Lojistik Teknolojileri
KORKMAZ, E. V. (2023) · Özgür Yayınları eBooks · doi:10.58830/ozgur.pub137.c1387 · Cited by 2
Staying Safe in the Digital Age
Rathod, S. B., Mahajan, R. A., Sharma, B., & Patil, P. R. (2024) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3693-1435-7.ch018 · Cited by 2
Puspita, W. N., Huong, D. T., & Poonseripipat, P. (2023) · Journal of Social Knowledge Education (JSKE) · doi:10.37251/jske.v4i4.937 · Cited by 2
Tech Revolution in HR: Leveraging AI for Smarter Talent Acquisition
Sjahruddin, H., Boyas, J. R., & Prayudi, D. (2024) · Journal of Economic Bussines and Accounting (COSTING) · doi:10.31539/costing.v7i3.9798 · Cited by 4
Sarnıç, A., & Safa, A. C. A. R. (2024) · İşletme · doi:10.57116/isletme.1521169 · Cited by 2
IMPLEMENTATION OF AI SYSTEMS FOR ANALYSIS OF PRODUCTIVITY AND DEVELOPMENT OF TALENT IN GLOBAL TEAMS
Pryiatelchuk, O., & Айзенберг, Т. (2024) · ACTUAL PROBLEMS OF INTERNATIONAL RELATIONS · doi:10.17721/apmv.2024.161.1.129-135 · Cited by 2
Artificial Intelligence and Human Resource Recruitment : The Most Proliferated Use of AI
Telang, V., Goyal, B., & Kapoor, T. (2024) · IEEE International Conference on ICT in Business Industry & Government (ICTBIG) · doi:10.1109/ictbig64922.2024.10911674 · Cited by 2
Assessing the Effect of AI-Powered HR Analytics on Electronics Manufacturing Decision-Making
Gupta, R., Kumar, S., Karad, S. M., Singh, V., Lenka, R. M., & Nikam, P. (2025) · International Conference on Advances in Computer Science, Electrical, Electronics, and Communication Technologies (CE2CT) · doi:10.1109/ce2ct64011.2025.10939495 · Cited by 2
Kanade, T. M., Batule, R. B., & Joseph, J. S. (2025) · IGI Global eBooks · doi:10.4018/979-8-3693-9556-1.ch003 · Cited by 2
AI in Expanded HR Ecosystems: Mapping Research Trajectories and Future Prospective
Soni, A., Shaikh, Z. H., Alhejair, A., Dora, N., Gulati, N., & Saseendran, H. (2025) · Studies in big data · doi:10.1007/978-3-031-83911-5_41 · Cited by 2
Leveraging AI for Disruptive Green Human Resource Management
Carôla, M., Rodrigues, R., & Figueiredo, P. C. N. (2025) · IGI Global eBooks · doi:10.4018/979-8-3693-4030-1.ch016 · Cited by 2
Yang, T. (2025) · Scientific Reports · doi:10.1038/s41598-025-15055-z · Cited by 2
Girish, K., Kumar, S., & Bhowmik, B. R. (2024) · doi:10.1002/9781394216147.ch3 · Cited by 2
الإمام, غ. م., & حسن, م. ع. ا. (2024) · مجلة کلية السياحة والفنادق - جامعة مدينة السادات · doi:10.21608/mfth.2024.343226 · Cited by 1
Adekoya, O. D., Mordi, C., & Ajonbadi, H. A. (2024) · Springer eBooks · doi:10.1007/978-3-031-62369-1_1 · Cited by 1
Optimizing the Strategic Fusion of IoT and AI for Enhanced HR Performance in Stocks
Ramya, S. S., Saikrishnan, S., Sumathi, S., Kamalakannan, S., Keerthana, J., & Indhumathi, G. (2024) · International Conference on Circuit, Power and Computing Technologies · doi:10.1109/iccpct61902.2024.10673028 · Cited by 3
Miglani, N. S., & Arora, N. (2025) · International Conference on Advancement in Computation & Computer Technologies (InCACCT) · doi:10.1109/incacct65424.2025.11011444 · Cited by 1
Grigoryan, E. A., Parsyan, S. H., Melkumyan, M. S., Baharyan, F. F., & Parsyan, A. H. (2025) · Advances in Science, Technology & Innovation/Advances in science, technology & innovation · doi:10.1007/978-3-031-83331-1_54 · Cited by 1
A Paradoxical Rartnership Between HR and AI
Invalli, S., Rai, V. S., & Anchan, R. (2025) · IGI Global eBooks · doi:10.4018/979-8-3373-0720-6.ch011 · Cited by 1
Baharestani, S., & Koç, H. (2025) · Informatik aktuell · doi:10.1007/978-3-658-48215-2_7 · Cited by 1
Agrawal, S., & Jadon, S. S. (2025) · Discover Computing · doi:10.1007/s10791-025-09620-3 · Cited by 1
Perception of Artificial Intelligence by Generation Z—Results of a Pilot Study in Poland
Gross-Gołacka, E., Kavoura, A., & Pawłowski, K. (2025) · Springer proceedings in business and economics · doi:10.1007/978-3-031-81962-9_92 · Cited by 3
Metadata
- Authors
- Murugesan, U., Subramanian, P., Srivastava, S., & Dwivedi, A.
- Affiliations
- Christ University (IN)
- O. P. Jindal Global University (IN)
- Corresponding author
- Dwivedi, Ashish
- Venue
- Decision Analytics Journal
- Publisher
- Elsevier BV
- Published
- 2023-06
- Volume
- 7
- Pages
- 100249
- ISSN
- 2772-6622 (ISSN-L)
- OpenAlex
- W4382173516
- Cited by
- 217
- References
- 54
- Citations by year
- 2026: 57 · 2025: 79 · 2024: 50 · 2023: 31
- FWCI
- 63.10
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Decision Analytics Journal (publishedVersion, 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 in human resource management, HR digitalization, Industry 4.0, organizational adaptability, human resource capabilities, employee well-being, occupational safety, Internet of Things
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