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Telos

versão impressa ISSN 1317-0570versão On-line ISSN 2343-5763

Resumo

ALAMANOVA, Chinara et al. INFLUENCE OF DIGITAL HR TECHNOLOGIES ON CORPORATE PRODUCTIVITY WITHIN THE FRAMEWORK OF ECONOMIC DIGITALIZATION. Telos [online]. 2025, vol.27, n.3, pp.836-844.  Epub 15-Jan-2026. ISSN 2343-5763.  https://doi.org/10.36390/telos273.04.

The purpose of the study is to evaluate the influence of digital technologies on labor productivity at both global and corporate levels, while considering the distinct economic development contexts of various countries. The study employs methods such as correlation and regression analysis, alongside 19 case studies. The investigation identified key determinants of labor productivity at the macroeconomic level across three dimensions: institutional efficacy, human capital, and technology adoption. These determinants encompass the quality of the regulatory environment, the assimilation of digital technologies, the prevalence of fixed broadband subscriptions, and the overall ease of conducting business. In the current study, the above factors are manifested through indicators such as Regulatory Quality, Digital Adoption Index, Fixed Broadband Subscriptions, and Ease of Doing Business. Notably, the Digital Adoption Index and Regulatory Quality exerted the most substantial influence, as evidenced by a one-unit increase in these variables correlating with labor productivity surging by 76.95 and 13.28, respectively. Furthermore, the strong correlation between the projected evolution of the human resources management market and the sectors of artificial intelligence and analytics in personnel management was substantiated. The findings revealed a comparative analysis of implementing digital HR technologies within companies across countries with different levels of development. It was shown that developed countries leverage these technologies with a more strategic orientation, while developing nations tend to prioritize operational efficiency and adaptation to crises. The insights obtained can be utilized at the macroeconomic level to inform policy directions aimed at increasing labor productivity, and at the microeconomic level for the formulation of robust human resource management strategies.

Palavras-chave : digital HR technologies; labor productivity; economic digitalization; artificial intelligence; predictive analytics; automation.

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