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
The emergence of new digital technologies requires local governments to adopt strategic government communication to preserve public trust. Despite substantial IT investments, many local governments face a productivity paradox where technology adoption fails to deliver public value due to sectoral egos and the cultural resistance of civil servants. To address this problem, this paper investigated the influence of digital governance (external communications) and digital upskilling (internal communications) on the acceleration of digital transformation and technology adoption performance within Indonesian local governments. A quantitative explanatory methodology was employed, utilising primary data collected through structured questionnaires distributed to 102 key strategic leaders (e.g., Regional Secretaries and Heads of Communication and Informatics Offices) representing digitally mature local governments. The data were analysed using Partial Least Squares Structural Equation Modelling (PLS-SEM). The results reveal a statistical anomaly where dynamic digital technology capabilities exert a significant negative direct effect on technology adoption performance (β = -0.560, p = 0.001). However, this disruptive effect is successfully reversed through a serial mediation ‘golden pathway’: implementing external digital governance, followed by internal digital upskilling, and transformation acceleration, which yields a massive positive indirect effect on performance (β = 0.636, p = 0.002). Finally, external digital communication and technological infrastructure are of little value unless accompanied by the internal digital upskilling of civil servants. This indicates that to improve public trust, the organisation’s internal communication, governance, and technology must be orchestrated in greater synergy.
Hendra Fatadona, Agus Rahayu, Disman et al.· Jurnal studi komunikasi· 0 citations
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