The Value and Manifestation of Predictive Empathy in the Implementation of Artificial Intelligence in Human Resource Management
Автор: Bušina F., Kovalchuk Ju.
Журнал: Вестник Волгоградского государственного университета. Экономика @ges-jvolsu
Рубрика: Управление экономическим развитием
Статья в выпуске: 4 т.27, 2025 года.
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The digital transformation of human resource management has facilitated the transition from the automation of routine functions (HR 4.0) to human-centric management (HR 5.0). The purpose of the study is to confirm that artificial intelligence does not replace humans but rather enhances their role through the model of predictive empathy. Based on data from a survey of 698 organizations across nine Central and Eastern European countries, the following findings were identified: a) the integration of AI tools increases the accuracy and transparency of HR processes while maintaining a focus on the individual and human values; b) organizations applying the HR 5.0 approach demonstrate higher levels of employee trust, a better perception of fairness, and greater decisionmaking efficiency. A strategic framework for implementing human-centric AI solutions in HR is proposed, along with the stages of introducing the predictive-empathic model through the formation of a three-level system of technological, organizational, and social trust, ensuring digital transformation accompanied by ethical and organizational-cultural changes. It is concluded that digitalization and AI do not eliminate the human factor but rather create conditions for a new ethics of management. The obtained results can be recommended for developing corporate digital transformation strategies aimed at building sustainable and ethically responsible HR systems, supporting the transition to the HR 5.0 model.
Human resource management, HR 4.0, HR 5.0, artificial intelligence, predictive empathy, humancentered management, trust, ethics
Короткий адрес: https://sciup.org/149150200
IDR: 149150200 | УДК: 331.108(075.8) | DOI: 10.15688/ek.jvolsu.2025.4.11