Tren Global dan Struktur Pengetahuan dalam Pengembangan Sumber Daya Manusia Berbasis Artificial Intelligence: Analisis Bibliometrik Data Scopus

Main Article Content

Arsyil Waritsman
Kasrul Selang
Selamat Difinubun

Abstract





Pemanfaatan Artificial Intelligence (AI) telah mengubah proses organisasi dan pengembangan sumber daya manusia (SDM). Namun di sisi lain, lanskap penelitian global dan perkembangan struktur pengetahuan mengenai pengembangan SDM berbasis AI masih belum dipetakan secara komprehensif. Penelitian ini bertujuan mengidentifikasi dan menganalisis struktur tematik serta perkembangan penelitian mengenai pengembangan SDM berbasis AI pada artikel jurnal terindeks Scopus yang diterbitkan selama periode 2015–2025. Penelitian menggunakan analisis Bibliometrik terhadap data Scopus yang ditelusuri pada 27 Juli 2026. Strategi penelusuran menggunakan kueri yang mencakup pengembangan SDM, AI, pelatihan, pendidikan, keterampilan, kompetensi, otomatisasi, inovasi, teknologi, dan transformasi digital. Setelah menerapkan kriteria inklusi yaitu Document type: Article; Language: English; Source Type: Journal; Publication Stage: Final; dan Open Access, maka diperoleh 4.634 artikel untuk dianalisis. VOSviewer digunakan untuk memvisualisasikan jejaring kata kunci dan mengidentifikasi tema penelitian dominan serta tema yang berkembang. Hasil penelitian menunjukkan bahwa penelitian pengembangan SDM berbasis AI didominasi oleh empat tema utama, yaitu digital transformation, human resource management, decision making, dan leadership. Perkembangan tema juga menunjukkan pergeseran dari orientasi implementasi AI yang bersifat teknis menuju perspektif yang lebih strategis dan berpusat pada manusia, terutama melalui meningkatnya perhatian terhadap digital transformation dan self-concept. Selain itu, change management, risk factor, dan disability masih relatif kurang diteliti dan menunjukkan kesenjangan penelitian yang penting. Temuan ini memperjelas struktur intelektual dan dinamika perkembangan penelitian pengembangan SDM berbasis AI serta memberikan landasan bagi pengembangan agenda penelitian dan praktik SDM yang lebih adaptif, berorientasi pada perubahan, sadar risiko, dan inklusif.


 


The utilization of Artificial Intelligence (AI) has transformed organizational processes and human resource (HR) development. However, the global research landscape and the evolving knowledge structure of AI-based HR development remain incompletely mapped. This study aims to identify and analyze the thematic structure and development of research on AI-based HR development in Scopus-indexed journal articles published between 2015 and 2025. The study employed bibliometric analysis of Scopus data retrieved on July 27, 2026. The search strategy used queries encompassing HR development, AI, training, education, skills, competencies, automation, innovation, technology, and digital transformation. After applying the inclusion criteria, namely Document Type: Article; Language: English; Source Type: Journal; Publication Stage: Final; and Open Access, a total of 4,634 articles were obtained for analysis. VOSviewer was used to visualize keyword networks and identify dominant and emerging research themes. The findings indicate that research on AI-based HR development centers on four major themes: digital transformation, human resource management, decision-making, and leadership. The thematic evolution also indicates a shift from a technically oriented focus on AI implementation toward a more strategic and human-centered perspective, particularly through increasing attention to digital transformation and self-concept. In addition, change management, risk factors, and disability remain relatively underexplored, indicating important research gaps. These findings clarify the intellectual structure and developmental dynamics of research on AI-based HR development and provide a foundation for advancing research agendas and HR practices that are more adaptive, change-oriented, risk-aware, and inclusive.





Article Details

How to Cite
Waritsman, A., Selang, K., & Difinubun, S. (2026). Tren Global dan Struktur Pengetahuan dalam Pengembangan Sumber Daya Manusia Berbasis Artificial Intelligence: Analisis Bibliometrik Data Scopus. Jurnal Widyaiswara Indonesia , 6(4), 25-38. https://doi.org/10.56259/jwi.v6i4.444
Section
Artikel Riset (Research Paper)

References

Abrar, M., Aboraya, W., Khaliq, R. A., Subramanian, K. P., Husaini, Y. Al, & Husaini, M. Al. (2025). AI-Powered Learning Pathways: Personalized Learning and Dynamic Assessments. International Journal of Advanced Computer Science and Applications, 16(1), 454–462. https://doi.org/10.14569/IJACSA.2025.0160145
Agasti, N. R., Pachouri, P., Indoria, R. K., Uddin, S. S., & Gangwar, M. (2026). AI-Driven Human Resource Management: Enhancing Workforce Decisions through Machine Learning Integration. ShodhKosh: Journal of Visual and Performing Arts, 7(1), 118–127. https://doi.org/10.29121/shodhkosh.v7.i1.2026.7170
Al-qudah, S., Jebreel, M., & Nassar, M. (2025). Applications of Artificial Intelligence in Managing Human Resources. In Advances in Science, Technology and Innovation (bll 461–469). https://doi.org/10.1007/978-3-031-84889-6_56
Alami, R., & Al-Masaeid, T. (2025). The AI-Executive Partnership: A New Paradigm for Decision-Making and Strategic Leadership. Journal of Information & Knowledge Management, 24(6). https://doi.org/10.1142/S0219649225500650
Albannai, N. A. A., Raziq, M. M., Malik, M., & Abrar, A. (2025). Future Trends in Digital Leadership: Cultivating Innovation, Leveraging AI and Achieving Competitive Advantage: A Qualitative Study. Journal of Information & Knowledge Management, 24(5). https://doi.org/10.1142/S0219649225500443
Ali, H. B. Y., & Gang, Z. J. (2025). Predictive Analytics Model for AI-Enhanced Decision Support in Corporate Management. Journal of Computers, Mechanical and Management, 4(6), 48–56. https://doi.org/10.57159/jcmm.4.6.25232
Ali, N. A. A., Hamdan, A., Alareeni, B., & Dahlan, M. (2023). Artificial Intelligence in the Process of Training and Developing Employees. In Lecture Notes in Networks and Systems (bll 558–568). https://doi.org/10.1007/978-3-031-26953-0_50
Ali, W., & Khan, A. Z. (2025). Factors influencing readiness for artificial intelligence: a systematic literature review. Data Science and Management, 8(2), 224–236. https://doi.org/10.1016/j.dsm.2024.09.005
Alsadoun, A. A., & Alateeg, S. (2026). Impact of Artificial Intelligence on Sustainable Performance: The Mediating Roles of Supportive Leadership and Organizational Change. Sustainability, 18(5). https://doi.org/10.3390/su18052435
Arockia, V. J., Vettriselvan, R., Rajesh, D., Velmurugan, P. R. R., & Cheelo, C. (2025). Leveraging AI and Learning Analytics for Enhanced Distance Learning. In AI and Learning Analytics in Distance Learning (bll 179–206). https://doi.org/10.4018/979-8-3693-7195-4.ch008
Arora, R., & Damrala, R. B. (2025). Impact of Generative AI on Talent Management and Retention: Use Cases, Challenges, and Open Issues (bll 345–357). https://doi.org/10.1007/978-981-96-7523-4_25
Balaji, K. (2025). HR 4.0: Integrating AI and automation in human resource development. In AI and Innovation in HRM: The Future of Strategic HR in the Service Economy (bll 170–190). Routledge. https://doi.org/10.4324/9781003522157-11
Belolipetskaya, A. E., Golovina, T. A., Avdeeva, I. L., & Polyanin, A. V. (2021). Digital Economy Influence on the Formation of Staff Competencies. In Economic Issues of Social Entrepreneurship (bll 395–404). Springer International Publishing. https://doi.org/10.1007/978-3-030-77291-8_36
Butcher, J., & Beridze, I. (2019). What is the State of Artificial Intelligence Governance Globally? The RUSI Journal, 164(5–6), 88–96. https://doi.org/10.1080/03071847.2019.1694260
Căvescu, A. M., & Popescu, N. (2025). Predictive Analytics in Human Resources Management: Evaluating AIHR’s Role in Talent Retention. AppliedMath, 5(3), 99. https://doi.org/10.3390/appliedmath5030099
Chang, Y.-W., & Chen, J. (2025). An empirical investigation of critical success factors in implementing digital transformation. Technological Forecasting and Social Change, 217. https://doi.org/10.1016/j.techfore.2025.124161
Chen, M., Wang, H., & Ma, H. (2020). Human Resource Management Under the Impact of Artificial Intelligence. In Lecture Notes in Electrical Engineering (bll 458–465). https://doi.org/10.1007/978-981-15-3250-4_57
Chitranshi, J., Chopra, K., & Banerjee, P. (2025). Impact of artificial intelligence in transforming and replacing traditional learning and development of employees. foresight, 27(3), 524–542. https://doi.org/10.1108/FS-05-2024-0109
Chrancokova, M., Mitkova, L., & Vartiak, L. (2026). A Framework for Digital Technology and AI Adoption in Slovak Firms: Evidence from Qualitative Analysis. International Journal of Advanced Computer Science and Applications, 17(4), 627–636. https://doi.org/10.14569/IJACSA.2026.0170463
Dadaboyev, S. M. U., Abdullayeva, J., Abbosova, N., Suleymenova, A., & Mamadjanova, K. (2025). Role of artificial intelligence in employee recruitment: systematic review and future research directions. Discover Global Society, 3(1), 99. https://doi.org/10.1007/s44282-025-00246-w
Dahake, P. S., & Khan, A. H. (2026). Sustainable HRM in the Tech World: Exploring the Role of Artificial Intelligence in Integrating Green Practices and Shaping Employee Behaviour in the IT Sector. In Artificial Intelligence in Management (bll 141–164). CRC Press. https://doi.org/10.1201/9781003559849-7
Dittmar, E. C. (2026). AI as a catalyst for organizational learning: moving beyond tool implementation to learning transformation. Development and Learning in Organizations: An International Journal, 40(1), 34–37. https://doi.org/10.1108/DLO-11-2024-0326
Durairaj, S., & Vetrivel, V. (2026). Artificial Intelligence And Automation Technologies And Their Effect On Human Resource Management Practices In It Organizations Of Chennai. International Journal of Drug Delivery Technology, 16(8), 747–752. https://doi.org/10.25258/ijddt.16.8s.83
Fadi, S. (2025). Enhancing Organizational Performance through AI-Driven HRM Practices and Performance Metrics: Evidence from European Multinational Enterprises. Management and Production Engineering Review, 16(3), 1–14. https://doi.org/10.24425/mper.2025.156147
Fenech, R., Baguant, P., & Ivanov, D. (2019). The changing role of human resource management in an era of digital transformation. Journal of Management Information and Decision Sciences, 22(2), 176–180.
Figueiredo, P. C. N., Alves, M. J. J., & Rouco, J. C. (2024). Reskilling in the Artificial Intelligence Era. In Complex AI Dynamics and Interactions in Management (bll 48–64). https://doi.org/10.4018/979-8-3693-0712-0.ch003
G. Yaseen, S., Albadrany, Q. H. A., Dajani, D., & Al-Afaishat, M. M. (2025). Artificial Intelligence Regulation: A Bibliometric Analysis. International Journal of Advances in Soft Computing and its Applications, 17(1). https://doi.org/10.15849/IJASCA.250330.12
Handayani, R., Ciptomulyono, U., & Dewi, R. S. (2026). AI-Enabled Competency-Based Learning: An Integrated Framework for Assessment, Adaptation, and Organizational Decision Support. International Conference on Current Research in Artificial Intelligence and Data Science (ICCRAIDS), 1–8. https://doi.org/10.1109/ICCRAIDS67816.2026.11519706
Haque, A. (2025). AI is hiring you: algorithmic power, ethical risks, and the future of recruitment. International Journal of Organization Theory & Behavior, 1–9. https://doi.org/10.1108/IJOTB-02-2025-0045
Jeganathan, V., & Navamani, S. G. (2024). Unveiling research patterns in employee engagement and performance: A bibliometric study. Multidisciplinary Reviews, 8(5), 2025145. https://doi.org/10.31893/multirev.2025145
Kadirov, A., Shakirova, Y., Ismoilova, G., & Makhmudova, N. (2024). AI in Human Resource Management: Reimagining Talent Acquisition, Development, and Retention. 2024 International Conference on Knowledge Engineering and Communication Systems (ICKECS), 1–8. https://doi.org/10.1109/ICKECS61492.2024.10617231
Kamila, M. K., & Jasrotia, S. S. (2025). Ethical issues in the development of artificial intelligence: recognizing the risks. International Journal of Ethics and Systems, 41(1), 45–63. https://doi.org/10.1108/IJOES-05-2023-0107
Karthikeyan, C. (2024). Transforming the Modern Workplace With AI (Artificial Intelligence) With Special References From India. In Navigating Organizational Behavior in the Digital Age with AI (bll 337–360). https://doi.org/10.4018/979-8-3693-8442-8.ch013
Kotikalapudi, K. B., & Gayatri, S. N. (2026). Artificial intelligence in education an educational perspective on personalization equity and ethics. Discover Education, 5(1). https://doi.org/10.1007/s44217-026-01226-1
Kučević, E., Grünewald, F., & Schanz, N. (2024). Towards a Simplified AI Adoption Framework: Success Factors for the Implementation of Artificial Intelligence Information Systems. In Lecture Notes in Computer Science (bll 88–106). https://doi.org/10.1007/978-3-031-76827-9_6
Mupaikwa, E., & Yadav, P. (2024). Artificial Intelligence for Employee Selection, Recruitment, and Training in Business Organisations. In Human Resource Strategies in the Era of Artificial Intelligence (bll 1–28). https://doi.org/10.4018/979-8-3693-6412-3.ch001
Nayak, A., Satpathy, I., & Poddar, S. (2026). Artificial Intelligence (AI)-Powered Competitive Intelligence: Transforming Strategic Decision-Making in the Digital Age. In Harnessing AI and Predictive Analytics for Decision-Making and Competitive Advantage (bll 73–94). https://doi.org/10.4018/979-8-3373-3648-0.ch003
Nie, Q. (2024). Application of artificial intelligence in enterprise human resource management and employee performance evaluation. International Journal of Computer Applications in Technology, 74(3), 186–196. https://doi.org/10.1504/IJCAT.2024.141940
Nirmala, A., Dewi, N. E. P., Saputra, T., & Sibarani, R. M. (2025). Efficiency of Artificial Intelligence Usage on Personalized and Adaptivity Training Method for Employees at Workplace. Polish Journal of Management Studies, 31(1), 213–231. https://doi.org/10.17512/pjms.2025.31.1.12
Nurhayati, N., Musa, S., & Pusparini, E. S. (2024). The Roles of Transformational Leadership, Perceived Organizational Support, Digital Capability Towards Employees’ Adaptability and Readiness for Digital Transformation (bll 95–110). https://doi.org/10.1007/978-3-031-51212-4_6
Sabiri, M., Farhaoui, Y., & Agoujil, S. (2026). Artificial Intelligence and Recommender Systems: A Revolution in Personalized Education. In Advances in Science, Technology and Innovation (bll 311–315). https://doi.org/10.1007/978-3-031-97825-8_63
Sahal, A. M., Abdullahi, M. O., Mohamud, I. H., Mohamed, M. A., & Hussein, A. M. (2024). Mapping the human capital development landscape: A bibliometric analysis. International Journal of ADVANCED AND APPLIED SCIENCES, 11(10), 176–185. https://doi.org/10.21833/ijaas.2024.10.020
Sasikala, U., Kamal, M. D. R., V, S., & Sharma, S. (2026). Artificial Intelligence Applications in Human Resource Management: A Comprehensive Framework, Models, and Future Directions. International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS), 506–510. https://doi.org/10.1109/ICETSIS68266.2026.11548893
Schneider, J., Abraham, R., Meske, C., & Vom Brocke, J. (2023). Artificial Intelligence Governance For Businesses. Information Systems Management, 40(3), 229–249. https://doi.org/10.1080/10580530.2022.2085825
Seraj, A. H. A., Hasanein, A. M., Al-Romeedy, B. S., & Elziny, M. N. (2025). Redefining the Digital Frontier: Digital Leadership, AI, and Innovation Driving Next-Generation Tourism and Hospitality. Administrative Sciences, 15(9). https://doi.org/10.3390/admsci15090369
Shaikh, S. N., Sohu, J. M., Kherazi, F. Z., Qasim, S., Soomro, S., & Junejo, I. (2025). AI-Driven Transformation in HR (bll 41–64). https://doi.org/10.4018/979-8-3693-8669-9.ch002
Sharma, R., & Kohli, D. (2023). Embracing Digital Transformation for Sustainable Development: The Synergy between Learning Organizations, Human Resource Management, and Service Quality. Journal of Chinese Human Resources Management, 14(3), 3–17. https://doi.org/10.47297/wspchrmWSP2040-800501.20231403
Sivasubramanian, K., Mukthar, K. P. J., Allauca-Castillo, W., Asis-Lopez, M., Cayotopa-Ylatoma, C., & Mory-Guarnizo, S. (2023). Application of Artificial Intelligence in Human Resource Activities for Advanced Governance and Welfare. In Lecture Notes in Networks and Systems (bll 901–908). https://doi.org/10.1007/978-981-19-7874-6_66
Sposato, M. (2025). Artificial Intelligence in Modern Human Resources Practice (bll 223–244). https://doi.org/10.4018/979-8-3693-6507-6.ch009
Srivastava, K. (2025). Leveraging Artificial Intelligence for Sustainable and Inclusive Education: Opportunities, Challenges, and Recommendations. In Transforming Business Education through Artificial Intelligence (bll 361–376). Apple Academic Press. https://doi.org/10.1201/9781998511471-18
Srivastava, S., & Indapurkar, K. (2026). AI-Human Collaboration in Talent Decision System. In Leadership, Talent, and Human–AI Collaboration (bll 309–340). https://doi.org/10.4018/979-8-2600-2541-3.ch009
Subrahmanyam, S. (2025). Human Factors and Workforce Adaptation in Digital Transition. In Navigating Digital Transformation Through Business Process Management (bll 95–126). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3373-3336-6.ch005
Sula, O., & Osmani, J. (2025). Challenges in Shaping AI Governance in Europe: A Multi-Stakeholder Approach. Interdisciplinary Journal of Research and Development, 12(3 S1), 81–86. https://doi.org/10.56345/ijrdv12n3s111
Thomas, S., Nair, D. S., Joseph, J., Srampical, S. G., & Cleetus, R. S. (2025). Examining the Sustainable Integration of Artificial Intelligence in Human Resource Digitalization in the Context of Industry 4.0. European Public & Social Innovation Review, 11, 1–14. https://doi.org/10.31637/epsir-2026-2044
Tran, M. N., Hoang, C. Y., & Le, A. P. (2026). Fostering organizational innovation capability through transformational leadership and creativity in public educational institutions: moderating roles of AI-enabled job complexity and innovation climate. International Journal of Educational Management, 40(1–2), 96–112. https://doi.org/10.1108/IJEM-12-2024-0851
Tsiourva, O., & Vouzas, F. (2025). The Role of Artificial Intelligence in Transforming Human Resource Management: A Theoretical Perspective. In Springer Proceedings in Business and Economics (bll 137–149). https://doi.org/10.1007/978-3-032-00063-7_7
Varma, C., & Chavan, C. R. (2026). AI Revolutionizing HRM: Enhancing Employee Experiences from Onboarding to Employee Engagement for the Future Workplace. In AI Dynamics in HRM (bll 61–84). Apple Academic Press. https://doi.org/10.1201/9781779641373-3
Veale, M., Matus, K., & Gorwa, R. (2023). AI and Global Governance: Modalities, Rationales, Tensions. Annual Review of Law and Social Science, 19(1), 255–275. https://doi.org/10.1146/annurev-lawsocsci-020223-040749
Velmurugan, R., Sudarvel, J., & Thirumalaisamy, R. (2025). Preparing the Workforce for Digital Transformation Through Reskilling and Upskilling. In Innovating Cost-Efficient and Scalable Business Models in the Digital Era (bll 133–152). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3373-2120-2.ch005
Vite, I. P. Y., Suca, J. L. T., Prieto, P. P. P., Castillo, E. G. C., & Caillahua, J. L. A. (2026). Technological Training in Artificial Intelligence and Human Capital Skills Development: Impact on Labor Productivity in the Textile Industry. Journal of Educational and Social Research, 16(1), 360–368. https://doi.org/10.36941/jesr-2026-0257
Widyanti, O. N., Siringoringo, H., & Kuswanto, A. (2026). A System Literature Review on Digital Competence and Human Capital Competitiveness in Micro, Small and Medium Enterprises. TEM Journal, 15(1), 302–312. https://doi.org/10.18421/TEM151-27
Wirawan, E. Y., Gusan Putra, M., & Nugroho, B. (2024). Implementation Challenge of Artificial Intelligence in Human Resource Management for Employee Performance Monitoring Indonesia Companies Perspective. 2024 International Conference on ICT for Smart Society (ICISS), 1–7. https://doi.org/10.1109/ICISS62896.2024.10751025
Zel, S., & Kongar, E. (2020). Transforming Digital Employee Experience with Artificial Intelligence. IEEE / ITU International Conference on Artificial Intelligence for Good (AI4G), 176–179. https://doi.org/10.1109/AI4G50087.2020.9311088
Zhilkishbayeva, G. (2025). Formation and Assessment of the Country’s Human Resources Potential in the Context of Digital Transformation of the Economy. Montenegrin Journal of Economics, 21(4). https://doi.org/10.14254/1800-5845/2025.21-4.6