Human Resource Management as a Factor Fostering Companies’ Economic Growth

The Effective human resource management plays a pivotal role in optimizing labor organization, thereby stimulating productivity growth and ensuring the companies’ sustainable economic advancement, which underscores the significance of research in this domain. The purpose of this study was to evaluate the influence of working conditions and labor process organization on productivity, while considering both global and national contexts. The study used regression, correlation, and comparative analysis methods. Employing regression, correlation, and comparative analysis methodologies, the findings elucidate how human resource management through working hours organization, remuneration, and the implementation of training and innovative technologies affects corporate productivity as a determinant of economic growth. Regression analysis revealed that employee income exerts the most substantial influence on productivity, whereas the number of hours worked affects productivity only when considered in conjunction with income. The corresponding standardized Beta coefficients for these variables are 0.9207 for income and 0.1926 for hours worked. Among intangible factors, the most significant impact stems from the companies’ adoption of digital technologies, reflected in a coefficient of 0.7437. Against this backdrop, the proportion of firms offering formal training did not demonstrate a statistically significant effect on productivity according to the regression analysis. However, correlation analysis indicated a positive association between productivity and the implementation of training (0.4568), suggesting that this factor may also play a potentially critical role in corporate growth.The case study of China illustrated that the influence of the examined indicators may vary across different nations, shaped by unique cultural and traditional contexts. Consequently, this research affirms the existence of a substantial impact of human resource management on organizational efficiency and economic growth. A novel contribution of this work lies in the proposed methodology for constructing a sample of indicators and conducting an analysis of the effects of working conditions and labor process organization on productivity. The outcomes of this study may serve as a valuable resource for developing human resource management strategies that account for the identified predictors of productivity enhancement. Future research prospects may involve examining the studied indicators at the organizational level, which, although narrower in scope, could yield more indicative results.