Bibliometric Analysis of Human Capital and Digital Employee Integration to Enhance Competitive Advantage

Abdul Majid, Toni Wijaya, Agung Utama

Abstract


This study investigates the intellectual structure of research on human capital and workforce digitalization integration as a foundation for sustainable competitive advantage, analyzed through a strategic marketing lens. Employing a quantitative bibliometric approach, it maps the evolution, conceptual trends, and collaboration networks within this interdisciplinary domain. A systematic analysis was conducted on 202 Scopus-indexed documents published between 2012 and 2025 using Bibliometrix R and Biblioshiny software. Performance analysis and science mapping reveal a significant surge in scholarly output post-2019, underscoring the rising urgency of digital transformation in human resource management. Thematic and keyword analyses identify five dominant research streams and trace the evolution of core concepts, including "strategic human resource management," "digital employee integration," and "dynamic capabilities." Furthermore, collaboration network mapping highlights influential author clusters and reveals structural gaps in cross-regional research partnerships. The study concludes that the synergy between human capital development and technological integration constitutes not merely a strategic imperative but a critical dynamic capability essential for organizational resilience in a disruptive era. As its primary original contribution, this research provides the first comprehensive empirical map that systematically connects the discourses on human capital, workforce digitalization, and competitive advantage, thereby outlining a forward-looking research agenda and offering a robust empirical basis for developing adaptive HR strategies in the digital age.


Keywords


Human Capital, Digital Employee Integration, Sustainable Competitive Advantage, Strategic Human Resource Management, Bibliometrics, Strategic Marketing.

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References


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DOI: http://dx.doi.org/10.18415/ijmmu.v13i1.7350

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