Issue: № 11, 2025
Doi: https://doi.org/10.37634/efp.2025.11.1
The paper investigates the impact of digital transformation and artificial intelligence technologies on the efficiency of personnel selection processes in modern organizations. The paper identifies key directions of HR digitalization, including recruitment automation, the use of chatbots, analytical platforms, ATS-systems, and AI-based tools for candidate assessment. To examine the dynamics of labour market requirements, a content analysis of HR manager job postings from 2015–2023 was conducted using open data retrieved through web archives. The methodological basis of the research includes system, comparative and content analysis, as well as generalization of scientific publications and analytical reports on HR technologies. The results demonstrate a gradual evolution of professional requirements -from basic computer literacy and administrative competencies to advanced digital skills, data analytics, and the ability to work with AI-driven HR systems. The study shows that the effectiveness of modern recruitment is determined by the balanced combination of automated technologies and human expertise, which ensures objectivity, accuracy, and flexibility of personnel decisions. The findings confirm that digital transformation not only optimizes HR processes but also enhances the quality of hiring, supporting strategic development and organizational efficiency in the digital economy. Moreover, the research emphasizes that the integration of advanced technological tools strengthens the strategic role of HR departments, enabling organizations to build more adaptive, data-driven, and resilient talent management systems. Additionally, the study highlights that the rapid expansion of AI-based solutions requires organizations to invest in continuous upskilling of HR professionals, ensure ethical use of automated decision-making tools, and maintain transparency in candidate evaluation. These considerations become increasingly important as companies shift toward hybrid recruitment models that combine the strengths of human judgment with the precision of digital analytics.
Keywords : digital transformation, recruitment, personnel selection, artificial intelligence, analytical tools
References:
1. Dadaboyev D. Role of Artificial Intelligence in Employee Recruitment: Systematic Review and Future Research Directions. Discover Global Society. 2025. . URL: https://doi.org/10.1007/s44282-025-00246-w.
2. Mori M., Sassetti S., Cavaliere V., Bonti M. A Systematic Literature Review on Artificial Intelligence in Recruiting and Selection: A Matter of Ethics. Personnel Review. 2024. 54(4). 11–19. URL: https://doi.org/10.1108/PR-03-2023-0257.
3. Understanding Recruiters’ Acceptance of Artificial Intelligence: Insights from the Technology Acceptance Model. Applied Sciences. 2023. URL: https://www.mdpi.com/2076-3417/13/21/11842
4. Stef A., Crișan E.-L. Analysis of the Impact of Human Resources Employees’ Perceptions on the Process of Digital Transformation. IIMS Journal of Management Science. 2024. pp. 11–12. URL: https://doi.org/10.1108/IIMTJM-02-2024-0023
5. Nestlé’s HR Transformation: Realizing Values on a Global Scale. Forbes / SAP. 2021. URL: https://www.forbes.com/sites/sap/2021/11/19/nestls-hr-transformation-realizing-values-on-a-global-scale/
6. Venugopal, M., Madhavan V., Prasad R, Roman R. Transformative AI in human resource management: enhancing workforce planning with topic modeling Cogent Business and Management. 2024. Vol. 11. Issue 1. URL: https://www.tandfonline.com/doi/full/10.1080/23311975.2024.2432550
7. Rainey, C. How Nestlé Uses AI to Power HR for 275,000 Employees. LinkedIn Pulse. 2022. URL: https://www.linkedin.com/pulse/how-nestl%C3%A9-uses-ai-power-hr-275000-employees-christopher-rainey-vepre
8. Knockri. 4 Useful Ways To Reduce Bias In Hiring Right Now. URL: https://knockri.com/blog/diversityandinclusion/reduce-bias/
9. How Nestlé automated nearly 8,000 hours of recruiting work this year. Paradox. URL: https://www.paradox.ai/blog/8-000-hours-of-work-turned-to-almost-zero-how-nestle-did-it
10. Fenwick A., Molnar G., Frangos P. The Critical Role of HRM in AI-Driven Digital Transformation. Discover Artificial Intelligence. 2024. № 4 (1). URL: https://doi.org/10.1007/s44163-024-00125-4.
11. Chamorro-Premuzic T. Nestlé Recruitment & Selection Practices: An HRM Analysis. Studocu. 2020 URL: https://www.studocu.vn/vn/document/international-university-vnu-hcm/human-resource-management/nestle-recruitment-selection-practices-an-hrm-analysis-essay/131076354
12. SHRM. AI and Fraud in Recruiting: Annual Survey Report. Society for Human Resource Management. 2024. URL: https://www.shrm.org/content/dam/en/shrm/research/2024-talent-trends-research-overall-findings.pdf
13. Deloitte Ukraine. HR Tech and Recruitment in Ukraine: Digital Trends Report. Deloitte Human Capital. 2024 URL: https://www.deloitte.com/ua/en/about/press-room/human-capital-trends.html
14. Cybersecurity in HR Tech: A Review of Data Privacy Challenges in the Digital HR Ecosystem. ResearchGate. . URL: https://www.researchgate.net/publication/393228472_Cybersecurity_in_HR_Tech_A_Review_of_Data_Privacy_Challenges_in_the_Digital_HR_Ecosystem
15. European Commission. Artificial Intelligence Act (AI Act). Official EU Website. 2024. URL: https://artificialintelligenceact.eu/
16. LinkedIn Talent Solutions. Future of Recruiting 2024 (Report). LinkedIn. 2024. URL: https://business.linkedin.com/content/dam/me/business/en-us/talent-solutions/resources/pdfs/future-of-recruiting-2024.pdf
17. Nestlé. IT & HR Transformation Overview / Nestlé Business Services Materials 2022–2024. Nestlé Corporate. 2024. URL: https://www.nestle.com/sites/default/files/2025-02/annual-review-2024-en.pdf
18. Investor Publications. Nestlé Corporate. URL: https://www.nestle.com/investors/publications