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The Impact and Practice Exploration of Digital Transformation on Human Resource Management Decision-Making

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DOI: 10.23977/jhrd.2026.080103 | Downloads: 3 | Views: 95

Author(s)

Daidong Xu 1, Jing Wang 2

Affiliation(s)

1 Hong Kong Shue Yan University, 999077, Hong Kong, China
2 Harbin Institute of Technology, Harbin, 150001, Heilongjiang, China

Corresponding Author

Daidong Xu

ABSTRACT

Digital transformation is profoundly reshaping the underlying logic and decision-making mechanism of human resource management (HRM). This article discusses how digital technology reconstructs the decision-making paradigm of HRM, what deep influence it causes and what challenges it faces. Firstly, the research combs the transformation of epistemology from empirical intuition to data rationality, and points out the new trend of increasingly blurred organizational boundaries and enhanced mobility of human capital. Then it analyzes how data empowerment promotes decision-making forward and granularity refinement, and reveals the changes of power structure in human-machine collaboration. Then, the practical problems such as opaque algorithm, fuzzy privacy boundary and cognitive deviation are critically examined. Finally, the evolution path of building an agile and intelligent human resource governance system is put forward. Digital transformation is not only the iteration of technology, but also the reconstruction of management philosophy. In the future, HRM must pursue data efficiency, at the same time, establish the boundary of human-machine rights and responsibilities through system design, cultivate inclusive digital culture, and realize the organic unity of technical rationality and management humanity.

KEYWORDS

Digital transformation; Human resource management; Decision-making paradigm; Human-machine collaboration; Agile governance

CITE THIS PAPER

Daidong Xu, Jing Wang. The Impact and Practice Exploration of Digital Transformation on Human Resource Management Decision-Making. Journal of Human Resource Development (2026). Vol. 8, No. 1: 16-21. DOI: http://dx.doi.org/10.23977/jhrd.2026.080103.

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