The global transition toward a sustainable and low-carbon economy has intensified the demand for green skills as a critical component of future workforce development. As governments, industries, and educational institutions increasingly prioritize sustainability, scholarly interest in green skills has expanded rapidly across multiple disciplines. However, the growing body of literature remains fragmented, limiting a comprehensive understanding of its intellectual structure, thematic development, and future research directions. This study aims to systematically map the evolution of green skills and future workforce research through a bibliometric analysis of publications indexed in the Scopus database between 2015 and 2025. A total of 323 peer-reviewed publications were analyzed using Biblioshiny and VOSviewer to examine publication trends, influential sources, intellectual structures, thematic evolution, and emerging research themes. The findings reveal a substantial increase in research output, particularly after 2020, reflecting the growing strategic importance of green skills in sustainability transitions. Keyword co-occurrence analysis identifies five major research clusters related to sustainability competencies, employability, green jobs, vocational education, and Green Human Resource Management. The thematic analysis highlights the emergence of digitalization as a central research theme, indicating an increasing convergence between green and digital competencies within the context of the twin transition. The study contributes to the literature by providing a comprehensive overview of the field, identifying critical research gaps, and proposing an integrated future research agenda linking human capital development, organizational capability, digital transformation, and sustainable workforce competitiveness.
Rieka Mustika, R. Hurriyati, Juliana Juliana et al.· Human Resources Management a...· 0 citations
Digital maturity is increasingly recognized as an important condition for organizational transformation; however, it is still frequently assessed primarily through technological readiness, digital infrastructure, and process digitalization. This perspective provides limited guidance for higher education institutions, where digital transformation depends substantially on workforce capability, leadership readiness, organizational learning, and adaptive culture. This study examines the evolution and dimensional structure of digital maturity research and repositions digital maturity as a strategic human resource management capability for higher education. A hybrid systematic literature review and bibliometric analysis was conducted using 333 peer-reviewed journal articles indexed in Scopus and published between 2018 and November 2025. The analysis maps publication trends, thematic evolution, geographic and sectoral patterns, and the dimensional structure of 18 digital maturity models. The findings show that digital maturity research has expanded rapidly and evolved from a predominantly technology-centred orientation towards a broader capability-based perspective. Technology and Strategy are the most consistently represented dimensions, while People and Organization/Culture are essential for translating digital investments into institutional capability. Sustainability, Security, and Integration remain comparatively underrepresented. Based on the literature synthesis, the study proposes an HRM-oriented conceptual framework linking digital maturity dimensions with competency development, strategic workforce planning, digital leadership, organizational learning, and participatory change management. The framework is intended as an analytically grounded conceptual guide rather than an empirically validated causal model. The study contributes to HRM scholarship by clarifying how universities can integrate digital maturity assessment with people-centred capability development and institutional transformation.
Herman Herman, Juliana Juliana, Asep Miftahuddin et al.· Human Resources Management a...· 0 citations
The expansion of cloud platforms, artificial intelligence (AI)-driven applications, and data center infrastructure has increased the need for workers and organizations that can operate, interpret, and govern complex digital ecosystems. However, research on human capital readiness for cloud–AI–data center ecosystems remains fragmented across technology adoption, digital skills, education, workforce development, and human resource management (HRM). This study maps the intellectual structure, thematic development, and research gaps of this field through a bibliometric review of 783 Scopus-indexed journal articles published between 2010 and 2025. Biblioshiny/R Bibliometrix and VOSviewer were used to conduct performance analysis and science mapping, including annual publication trends, keyword co-occurrence, thematic mapping, co-citation analysis, bibliographic coupling, and country collaboration analysis. The findings show that publication activity increased after 2019 and accelerated after 2023, indicating growing attention to digital workforce readiness in the AI era. The analyses reveal a divide between technology-oriented studies on AI, Industry 4.0, cloud computing, and digital transformation and human-centered studies on digital skills, literacy, competencies, and workforce readiness. Co-citation and bibliographic coupling results show that the field is shaped by technology adoption, behavioral readiness, strategic capability, future-of-work research, work psychology, and education-based digital competency development. Country collaboration patterns indicate that Asia-Pacific scholarship remains uneven despite the region’s growing role in digital infrastructure expansion. This study contributes by repositioning human capital readiness as a strategic HR capability linking digital talent development, HR analytics, and workforce planning.
Rinaldi Noor, Agus Rahayu, Ratih Hurriyati et al.· Human Resources Management a...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
