Modern HR Analytics: Digital Opportunities in Assessing the Effectiveness of Personnel Management

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Abstract

The issues of assessing business performance, including assessing the effectiveness of personnel management, were actualized in the 1980s with the introduction and active development of strategic management. In the same period, theoretical and methodological grounds for conducting complex multi-method assessments were formed, which served as a starting point in the formation of modern HR analytics. The use of HR analytics is seen as a new stage in assessing the effectiveness of personnel management, the need for which arose with the emergence of talent management and individualization of approaches to personnel management. The extreme demand for HR analytics in the practice of management activities has led to the need to understand the possibilities of its application from the standpoint of an interdisciplinary approach. The objective is identification of the leading areas of modern HR analytics, opportunities, limitations and priorities for the use of modern digital tools for assessing the effectiveness of personnel management. Research methods are general scientific theoretical research methods; comparative analysis; SEO analysis. The leading directions of modern HR analytics have been identified and their high importance in assessing the effectiveness of personnel management has been shown; the opportunities, limitations and priorities of using modern digital capabilities for assessing the effectiveness of personnel management have been identified; on the basis of comparative analysis and SEO analysis, the priority practices of modern HR analytics have been identified and the current directions of its development have been shown.

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APA

Batovrina, E. V., Oparina, N. N., & Cherniaeva, G. V. (2022). Modern HR Analytics: Digital Opportunities in Assessing the Effectiveness of Personnel Management. In Lecture Notes in Networks and Systems (Vol. 380 LNNS, pp. 423–428). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-94245-8_58

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