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All Journal Journal of Science and Education (JSE) ARRUS Journal of Social Sciences and Humanities
Lia Puspitasari
Faculty of Economics and Business Education, Universitas Pendidikan Indonesia, Bandung, Indonesia
Religion Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Education Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Physics Social Sciences

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Collaborative by Design, Fragmented in Delivery: A Scoping Review of National Digital Talent Programmes Lia Puspitasari; Alfira Sofia; Lili Adi Wibowo; Agus Rahayu
Journal of Science and Education (JSE) Vol. 7 No. 1 (2026): September 2026
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/jse.v7i1.850

Abstract

Governments across income groups now fund national programmes to build digital talent, yet whether they work, and how anyone would know, remains unclear. This scoping review maps how their performance is conceptualised, measured and governed. Following established scoping review guidance, we searched Scopus and screened 265 records against criteria fixed in advance, retaining 25 peer-reviewed reports published between 2018 and 2026. Data were charted using a 67-variable form; 98 governance mechanisms and 105 performance indicators were then coded to evaluation and collaborative governance frameworks and synthesised thematically. Performance is defined explicitly in 14 of 25 reports, measured mainly by self-report (44%), and reported without any time horizon in 60%. One report uses a comparison group and none estimates a counterfactual. Only three measure how much of the intended population was reached, and all three find that most was not. Governance mechanisms are coded as barriers in 33% of design-stage units but 70% of delivery-stage units. No report with an enabling reading attains the highest appraisal rating, so the negative pattern is not an artefact of weak evidence. We propose, as hypotheses requiring empirical validation rather than as a validated extension, that reach, financing structure, post-programme filters and regime status be modelled as variables rather than assumed.
Digital Talent Management: a Systematic Literature Review Using TCCM Frameworks Lia Puspitasari; Rakha Satria Pratama; Alfira Sofia; Lili Adi Wibowo; Agus Rahayu
ARRUS Journal of Social Sciences and Humanities Vol. 6 No. 4 (2026)
Publisher : PT ARRUS Intelektual Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/soshum5266

Abstract

Digital talent management (DTM) discussion in the digital transformation process is gaining attention. This study intends to identify the theoretical, context, characteristic, and methodological (TCCM) contributions of prior research on DTM. This research utilized a Systematic Literature Review approach with PRISMA Protocols and TCCM framework analysis and Watase Uake as data processing tools. The findings indicate that DTM is a strategic capability discourse; predominantly occurred within organizational, business, and industry-specific contexts, and operated as an Input-Process-Output System. Further evidence shows an AI paradox and the prevalence of quantitative approaches. Future research should shift from organizational-centric models towards collaborative ecosystem frameworks.
Co-Authors Agus Rahayu Alfira Sofia Lili Adi Wibowo Rakha Satria Pratama