Strategic Human Resource Management in the Digital Era: Technology, Transformation, and Sustainable Advantage
Carmen Năstase, Andreea Adomnitei, Anisoara Niculina Apetrii
- 发表年份
- 2025
- 引用次数
- 10
摘要
The rapid integration of emerging technologies into organizational processes has fundamentally redefined the role of strategic human resource management (SHRM). This paper explores how digital innovations—such as artificial intelligence (AI), robotic process automation (RPA), blockchain, and immersive technologies—are reshaping the workforce and transforming the way organizations attract, develop, and retain talent. In the context of the digital era, human capital is no longer a passive input but a strategic enabler of sustainable competitive advantage. The purpose of the study is to analyze how SHRM practices must evolve to align with technology-driven organizational models, combining insights from a systematic literature review, institutional reports, and illustrative corporate cases. Findings indicate that agility, continuous reskilling, ethical AI governance, and employee well-being are critical levers for sustainable advantage. Comparative tables highlight differences between traditional HRM and SHRM in the digital era, while case studies (IBM, Walmart, Unilever, and UiPath) demonstrate the strategic value of predictive analytics, diversity and inclusion programs, virtual training, and people analytics. By proposing a conceptual model that links emerging technologies, SHRM, and competitiveness, the paper contributes to current debates on the transformation of work and organizational resilience. The study offers practical implications for HR leaders, policymakers, and academics navigating digital transformation while reinforcing human-centric performance and sustainability.
关键词
相关论文
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
Genetic Programming: On the Programming of Computers by Means of Natural Selection
John R. Koza
1992