Digitalisation of HR analytics: innovative approaches to HR management
https://doi.org/10.26425/1816-4277-2025-11-35-46
Abstract
Digitalisation of human resources (hereinafter referred to as HR) analytics can become a key factor in the innovative development of companies in a dynamically developing competitive environment, but there are no systemic vision and understanding of the essence and mechanisms of functioning of digital HR analytics systems, no ways and methods of their integration into real business processes. The purposes of the article are a comprehensive study of the role of digitalisation in the process under study, innovative approaches to personnel management, the development of a comprehensive scheme for assessing the effectiveness of digital HR analytics systems, and the proposal approaches to data visualisation that facilitate the adoption of informed management decisions. The key technologies necessary for the implementation of digital HR analytics and the problems that arise, such as data fragmentation and lack of qualified specialists, are described. Successful cases of using digital HR analytics to improve the efficiency of personnel management are considered, including the experience of Google. It is shown that digitalisation of HR analytics is a powerful tool for qualitatively improving personnel management processes and increasing the level of management decisions. Future research directions should be aimed at expanding the capabilities of artificial intelligence, strengthening the human-centric approach and adapting to new work formats to achieve greater efficiency of HR processes.
About the Authors
V. I. AbramovRussian Federation
Viktor I. Abramov
Dr. Sci. (Econ.), Prof. at the Business Project Management Department of the of Business Informatics and Integrated Systems Management Faculty
Moscow
A. Mukhitkyzy
Russian Federation
Ainur Mukhitkyzy
Graduate Student
Moscow
References
1. Abramov V.I., Mukhitkyzy A. Digitalization of HR analytics in the company: characteristics, benefits and practices. Leadership and Management. 2024;3(11):887–908. (In Russian). https://doi.org/10.18334/lim.11.3.121557
2. Vorontsov N.V., Afanasyev V.Ya. Raising the competitiveness and sustainability of a company in the context of digitalisation based on human resource capacity. E-Management. 2022;2(5):127–135. (In Russian). https://doi.org/10.26425/26583445-2022-5-2-127-135
3. Trofimova N.N. HR analytics and digitalization: new trends in personnel management. Economics and Management: Problems, Solutions. 2025;2(12):136–142. (In Russian). https://doi.org/10.36871/ek.up.p.r.2025.02.12.021
4. Bonyani A.J., Vavilina A.V. Conceptual foundations of labor motivation system for high-techenterprises specialists in Iran. Management. 2023;2(11):15–24. (In Russian). https://doi.org/10.26425/2309-36332023-11-2-15-24
5. Huang X., Yang F., Zheng J., Feng C., Zhang L. Personalized human resource management via HR analytics and artificial intelligence: theory and implications. Asia Pacific Management Review. 2023;4(28):598–610. https://doi.org/10.1016/j.ap-mrv.2023.04.004
6. Di Prima Ch., Hussain W.M.H.W., Ferraris A. No more war (for talent): the impact of HR analytics on talent management activities. Management Decision. 2024;10(62):3109–3131. https://doi.org/10.1108/MD-07-2023-1198
7. Ellmer M., Reichel A. Staying close to business: the role of epistemic alignment in rendering HR analytics outputs relevant to decision-makers. The International Journal of Human Resource Management. 2021;12(32):2622–2642. https://doi.org/10.1080/09585192.2021.1886148
8. Lee J.Y., Lee Yu. Integrative literature review on people analytics and implications from the perspective of human resource development. Human Resource Development Review. 2024;1(23):58-87. https://doi.org/10.1177/15344843231217181
9. Groshev I.V., Koblov S.V. Competencies, skills and abilities of managers and staff in the era of the Russian economy digital transformation. E-Management. 2022;3(5):117–124. (In Russian). https://doi.org/10.26425/2658-3445-2022-5-3-117-124
10. Zafar N., Asadullah M.A., Haq M.Z.U., Siddiquei A.N., Nazir S. Design thinking: a cognitive resource for improving workforce analytics and training evaluation. European Journal of Training and Development. 2023;5–6(47):653–675. https://doi.org/10.1108/EJTD-09-2021-0150
11. Abramov V.I., Abramov I.V., Polivanov K.V., Semenkov K.Yu. Conceptual model of a digital analytical support system for the remote management of an organisation’s workforce. Journal of Economics, Entrepreneurship and Law. 2023;7(13):2341–2352. (In Russian). https://doi.org/10.18334/epp.13.7.118326.
12. Abramov V.I., Churkin D.A. The role of effective communications and collective intelligence in digital transformation of a company. Vestnik universiteta. 2024;4:50–60. (In Russian). https://doi.org/10.26425/1816-4277-2024-4-50-60
13. Levenson A. Using workforce analytics to improve strategy execution. Human Resource Management. 2018;3(57):685–700. https://doi.org/10.1002/hrm.21850
14. Asgarian C., Feuersinger N. Strategic personnel planning. In: HR excellence. Wiesbaden: Springer; 2017. Рр. 289–306. (In German).
15. Fitz-enz J., Mattox J.R. Predictive analytics for human resources. Hoboken: Wiley; 2014. 178 р.
16. Davenport Th.H., Harris J.G. Competing on analytics. The new science of winning. Boston: Harvard Business Review Press; 2017. 326 р.
17. Edwards M.R., Edwards K. Predictive HR analytics. Mastering the HR metric. London: Kogan Page; 2016. 456 р.
18. Marler J.H., Boudreau J.W. An evidence-based review of HR Analytics. The International Journal of Human Resource Management. 2017;1(28):3–26. https://doi.org/10.1080/09585192.2016.1244699
19. Stolyarov A.D., Abramov A.V., Abramov V.I. Generative artificial intelligence for business model innovations: opportunities and limitations. Beneficium. 2024;3(52):43–51. (In Russian). https://doi.org/10.34680/BENEFICIUM.2024.3(52):43-51
20. Abramov V.I., Glukhova E.V., Semenkov K.Yu. Digital transformation of staff development and training. Leadership and Management. 2023;1(10):189–202. (In Russian). https://doi.org/10.18334/lim.10.1.117182
21. Shrivastava Sh., Nagdev K., Rajesh A. Redefining HR using people analytics: the case of Google. Human Resource Management International Digest. 2018;26(2):3–6 https://doi.org/10.1108/HRMID-06-2017-0112
Review
For citations:
Abramov V.I., Mukhitkyzy A. Digitalisation of HR analytics: innovative approaches to HR management. Vestnik Universiteta. 2025;(11):35-46. (In Russ.) https://doi.org/10.26425/1816-4277-2025-11-35-46
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