Abstract
The study aimed to compare the effectiveness of specialists before and after the introduction of digital technologies. The research methodology included experimentation and comparative analysis using learning management systems, cloud-based collaboration platforms, and artificial intelligence in recruitment. The study results demonstrated that digital platforms and automated systems significantly improve the learning process, especially in key areas such as recruitment, onboarding, performance evaluation and development of required competencies. With the use of artificial intelligence and big data, companies can identify training needs with greater accuracy, conduct a more detailed analysis of market trends and predict potential risks, which improves the quality of strategic decision-making. With these technologies, educational institutions can introduce modern teaching methods based on individualised approaches to students and professionals. One of the important advantages of digital solutions is the increased satisfaction of students and employees due to flexible study schedules and distance learning opportunities. This significantly improves internal communication and reduces stress among participants in the learning process. The study determined that such platforms also increase students’ loyalty to educational institutions, contribute to their efficiency and allow them to adapt more quickly to the conditions of the modern labour market. The findings create new opportunities for the further development of training programmes in the field of human resources management. In particular, the integration of digital platforms and automated learning systems helps to develop educational strategies that meet the challenges of the digital economy. As a result, specialists become competitive and prepared for the real challenges of their professional activities
Keywords
automation; innovation; training; competence; transformation
References
- Akimov, A., & Tikhonov, A. (2023). The use of digital technologies in the personnel management system of enterprises of the aerospace industry. AIP Conference Proceedings, 2757, article number 100001. doi: 10.1063/5.0136445.
- Bika, N. (2023). How to measure quality of hire. Retrieved from https://resources.workable.com/tutorial/quality-of-hire.
- Chen, G. (2021). Optimization method of personnel management based on information technology. In Frontier computing. FC 2020. Lecture notes in electrical engineering (pp. 1541-1547). Singapore: Springer. doi: 10.1007/978-981-16-0115-6_177.
- Egorov, E., Lebedeva, T., Prokhorova, M., Smirnova, Z., & Shkunova, A. (2020). Study of the main trends in application of information technologies in the management of hotel complex personnel. Journal of Advanced Research in Dynamical and Control Systems, 12(4), 1702-1708. doi: 10.5373/JARDCS/V12SP4/20201652.
- Frkić, S., Mašće, I., & Vidović, K. (2020). The role and importance of digital practical training of personnel management students. In Smart education and e-learning 2020 (pp. 595-604). Singapore: Springer. doi: 10.1007/978-981-15-5584-8_50.
- Gadzali, S.S., Gazalin, J., Sutrisno, S., Prasetya, Y.B., & Almaududi Ausat, A.M. (2023). Human resource management strategy in organisational digital transformation. Jurnal Minfo Polgan, 12(1), 760-770. doi: 10.33395/jmp.v12i1.12508.
- Galieva, G.F., Mirgorod, E.E., Alekhina, O.F., Khashir, B.O., & Beilina, A.F. (2022). Anti-crisis technologies for improving the efficiency of the organization’s personnel management. In Towards an increased security: Green innovations, intellectual property protection and information security. ISC 2021. Lecture notes in networks and systems (pp. 887-896). Cham: Springer. doi: 10.1007/978-3-030-93155-1_95.
- Gartner for human resources leaders. (n.d.). Retrieved from https://www.gartner.com/en/human-resources.
- Kozhukhova, N.V., Veselova, J.V., & Chekuldova, S.V. (2021). Application of IT technologies in personnel management in the era of digitalization. In Digital economy and the new labor market: Jobs, competences and innovative HR Technologies. IPM 2020. Lecture notes in networks and systems (pp. 184-192). Cham: Springer. doi: 10.1007/978-3-030-60926-9_25.
- Li, Y., & Xiao, H. (2022). Financial automatic management system based on artificial intelligence technology. In 2022 International conference on electronics and devices, computational science (ICEDCS) (pp. 375-379). Marseille: IEE. doi: 10.1109/ICEDCS57360.2022.00088.
- Liu, H., & Hu, G. (2020). Application of artificial intelligence technology in enterprise management reform. Journal of Physics: Conference Series, 1648, article number 042072. doi: 10.1088/1742-6596/1648/4/042072.
- Lu, X. (2020). Application of computer digital technology in the personnel file of university cadres. Journal of Physics: Conference Series, 1648, article number 032127. doi: 10.1088/1742-6596/1648/3/032127.
- Makovoz, O. (2024). Digital technologies in personnel management. Proceedings of London International Conferences, 10, 65-76. doi: 10.31039/plic.2024.10.208.
- Mao, H., & Zhang, Q. (2022). Personnel information management system design for universities with enhanced affair efficiency under intelligent information technologies. In ICEDS ‘22: Proceedings of the 2022 3rd international conference on education development and studies. New York: Association for Computing Machinery. doi: 10.1145/3528137.3528153.
- Nazarova, H., Rudenko, V., Urdukhanov, R., & Khomenko, P. (2022). Transformation of personnel management principles in modern management. Economics of Development, 21(4), 59-67. doi: 10.57111/econ.21(4).2022.59-67.
- Okrushko, E., Rasskazov, S., Rasskazova, A., & Vasetskaya, N. (2023). Digital transformation of personnel management in organizations under the influence of big data technologies. In Digital transformation on manufacturing, infrastructure & service. DTMIS 2022. Lecture notes in networks and systems (pp. 130-139). Cham: Springer. doi: 10.1007/978-3-031-32719-3_10.
- Onipko, V., & Yaprynets, T. (2024). Formation of readiness for innovative educational activities as a key competence of future specialists. Ukrainian Professional Education, 8(2), 71-78.
- Pang, C. (2021). On the logic and framework of enterprise management reform in the era of artificial intelligence. E3S Web Conferences, 275, article number 03074. doi: 10.1051/e3sconf/202127503074.
- Pryshliak, K., & Semenenko, Y. (2024). The role of artificial intelligence in personnel selection and performance management. In The first international workshop of young scientists on artificial intelligence for sustainable development. Ternopil: CEUR-WS.
- Rozetka. (n.d.). Retrieved from https://rozetka.com.ua/ua/.
- Shtrikov, A.B., Zemlyanaya, E.V., & Shtrikova, D.B. (2022). Application of Kaizen System in HR management. In Digital technologies in the new socio-economic reality. ISCDTE 2021. Lecture notes in networks and systems (pp. 915-922). Cham: Springer. doi: 10.1007/978-3-030-83175-2_111.
- Smirnova, Z., Golubeva, O., Chaykina, Z., Mukhina, M., & Kaznacheeva, S. (2021). The role of the digital economy in the management system of service organizations. In Economic issues of social entrepreneurship (pp. 15-23). Cham: Palgrave Macmillan. doi: 10.1007/978-3-030-77291-8_2.
- Tao, Y., Huang, X., & An, L. (2023). Property personnel management system based on BLE technology. In 2023 6th international conference on computer network, electronic and automation (ICCNEA) (pp. 359-363). Xi’an: IEEE. doi: 10.1109/ICCNEA60107.2023.00083.
- Team cohesion assessment. (2024). Retrieved from https://strengthscape.com/team-cohesion-assessment/.
- The guidance note of the European Commission on ethics and data protection. (2021). Retrieved from https://ec.europa.eu/info/funding-tenders/opportunities/docs/2021-2027/horizon/guidance/ethics-and-data-protection_he_en.pdf.
- The Kirkpatrick’s Model. (n.d.). Retrieved from https://www.kirkpatrickpartners.com/the-kirkpatrick-model/.
- Vajpayee, A., & Ramachandran, K. (2019). Reconnoitring artificial intelligence in knowledge management. International Journal of Innovative Technology and Exploring Engineering, 8(7C), 114-117.
- Veeraiah, K., Srinivasa Raju, S.V.S.S., Vangaveti, Y., Kumar, V.V., & Ali, S.S. (2022). Role of artificial intelligence in financial management. In 2022 international conference on computer communication and informatics (ICCCI). Coimbatore: IEEE. doi: 10.1109/ICCCI54379.2022.9740900.
- Wang, T., & Cheng, Y. (2024). Development and application of intelligent management system for personnel safety in port area based on positioning technology. In AISNS ‘23: Proceedings of the 2023 international conference on artificial intelligence, systems and network security. New York: Association for Computing Machinery. doi: 10.1145/3661638.3661700.
- Xue, Q. (2022). Practical application of artificial intelligence and big data in the field of human resource management. In 2022 3rd international conference on education, knowledge and information management (ICEKIM) (pp. 243-247). Harbin: IEEE. doi: 10.1109/ICEKIM55072.2022.00061.
- Yang, Y. (2021). The conception of computer networking based on personnel management and human resources development. Journal of Physics: Conference Series, 1992, article number 032038. doi 10.1088/1742-6596/1992/3/032038.
- Ye, Y. (2020). Research on university personnel management information system based on database. In ICDEL ‘20: Proceedings of the 5th international conference on distance education and learning (pp. 63-66). New York: Association for Computing Machinery. doi: 10.1145/3402569.3409037.
- Zbrytska, T., & Soroka, O. (2021). Personnel management in the era of the digital economy. Economy and Society, 31. doi: 10.32782/2524-0072/2021-31-20.
- Zhang, J., & Chen, Z. (2024). Exploring human resource management digital transformation in the digital age. Journal of the Knowledge Economy, 15, 1482-1498. doi: 10.1007/s13132-023-01214-y.