Employee Upskilling and Reskilling Strategies in Workplace Automation: A Bibliometric Study and Practical Implementation Framework
Abstract
The rapid advancement of artificial intelligence (AI), robotics, and automation technologies is fundamentally reshaping the global workplace, creating unprecedented challenges and opportunities for workforce development. This study employs a mixed-methods approach combining bibliometric analysis and qualitative research to examine employee upskilling and reskilling strategies in the context of workplace automation. Through systematic review of 471 scholarly publications from the Scopus database (2020-2025) and semi-structured interviews with 35 HR professionals and organizational leaders, this research identifies key trends, frameworks, and practical implementation strategies for organizational talent management. The findings reveal that successful upskilling and reskilling initiatives require integrated approaches encompassing competency assessment, personalized learning pathways, organizational culture transformation, and strategic leadership commitment. Notably, the integration of AI-powered training systems, continuous learning cultures, and transversal skills development emerges as critical success factors. This study proposes a comprehensive model for workplace automation adaptation that addresses skill gaps, mitigates displacement risks, and positions organizations for sustained competitiveness. The research contributes to both theoretical frameworks and practical guidelines for HR practitioners managing technological workforce transitions in the digital economy.
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Ahsan, M. J. (2024). Cultivating a culture of learning: The role of leadership in fostering lifelong development. The Learning Organization, 31(5), 1-18. https://doi.org/10.1108/tlo-03-2024-0099
Appoh, M., Alabi, O. A., Ogunwale, B., Gobile, S., & Oboyi, N. (2025). Leveraging AI for employee development and retention: A new paradigm in human resource development. International Journal of Multidisciplinary Research & Analysis, 6(1), 227-234.
Belorusov, A. S., Kuznetsova, V. A., & Nadtochiy, Y. (2024). The impact of digital transformation on the labor market in Russia. Vestnik of the Academy of Emerging Economics, 3, 1-15. https://doi.org/10.17513/vaael.3492
Chaudhry, I., Pathak, R., & Prasad, N. (2024). Beyond the counter: Unveiling the nexus of workplace training, employee engagement, and citizenship behaviour in Fijian retail. International Journal of Employment and Work, 10, 1-25. https://doi.org/10.1504/ijewe.2024.10063477
Del Cid Flores, A., Ziakkas, D., & Suckow, M. W. (2023). The implementation of competency-based training and assessment (CBTA) framework in aviation intelligence human systems. Advances in Human Factors in Training, Education, and Learning Sciences, 1002911, 1-18. https://doi.org/10.54941/ahfe1002911
Dmitrieva, S. V. (2025). Transformation of labor in the digital age: New challenges and prospects.
Khalidov, A. A., Magomadov, E. M., & Amirova, A. A. (2024). Digitalization Of The Economy And Its Impact On The Labor Market. Ekonomika I Upravlenie: Problemy, Resheniya.
Khodaparast, S., Nami, K., & Zakeri, M. (2025). Designing a development model for inclusive and comprehensive employee learning (case study: Pazargad non-industrial operations company). Journal of Study and Innovation in Education and Development.
Miloevi, K., & Kati, I. (2025). Current Trends In Upskilling And Reskilling: Analyzing Modern Learning And Development Programs. International Conference on Business, Management, and Economics Engineering Future-BME.
Mizaev, M. M., Zakrieva, M. S., & Laieva, I. Sh. (2025). The Impact Of Digitalization On The Labor Market And The Formation Of New Competencies. Ekonomika I Upravlenie: Problemy, Resheniya.
Morandini, S., Fraboni, F., Angelis, M., Puzzo, G., Giusino, D., & Pietrantoni, L. (2023). The impact of artificial intelligence on workers” skills: Upskilling and reskilling in organisations. Informing Sci. Int. J. An Emerg. Transdiscipl.
Mung, D. T., Giang, V. T. L., Thuy, T. T., & Phuong, P. T. (2025). Retaining Human Resources In The Digital Transformation Era: Research Trends From A Scopus Bibliometric Analysis. International Journal of Education, Business and Economics Research.
Onifade, O., Sharma, A., Adekunle, B. I., Ogeawuchi, J. C., & Abayomi, A. A. (2022). Digital upskilling for the future workforce: Evaluating the impact of AI and automation on employment trends. International Journal of Multidisciplinary Research and Growth Evaluation.
Ramachandran, Dr. K. K., Srivastava, Dr. A., Kumar, D., Cheepurupalli, N., & Rama, C. (2024). Developing AI-powered training programs for employee upskilling and reskilling. Journal of Informatics Education and Research.
Samishetti, B. (2025). The impact of AI and robotics on employee roles and HR practices: Challenges, transformations, and strategic workforce management. Journal of Strategic Human Resource Management.
Shostak, L., & Suriak, A. (2025). Transformation Of The Labor Market In The Context Of Economic Digitalization: Challenges, Models And Consequences. Market Infrastructure.
Sudewo, G. C., Santoso, H. B., & Susanto, P. C. (2025). Strategic enhancement of maritime human resource quality: An integrated approach to assessment, talent management, and competency development. International Research Journal of Innovations in Engineering and Technology.
Varis, I., Kravchuk, O., & Briks, A. (2024). Lifelong Learning Culture And Strategies For Its Development. Problems Of Systemic Approach In The Economy.
Ziakkas, D., Flores, A. D. C., & Suckow, M. W. (2023). The implementation of competency-based training and assessment (CBTA) framework in aviation intelligence human systems. International Conference on Intelligent Human Systems Integration.
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