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Defining “Talent

Insights from Management and Migration Literatures for Policy Design

Bibliographic Data

ID6328657
AuthorsLucie Cerna (0000-0001-5970-6006), Meng-Hsuan Chou (0000-0001-8138-236X)
Year2019
Volume47
Issue3
Pages819-848
Publication date2019-08-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenuePolicy Studies Journal (JOURNAL)
Journal identifiersISSN: 0190-292X • E-ISSN: 1541-0072
PublisherWiley (PUBLISHER • GB)
DOI10.1111/psj.12294
OpenAlexW2898349644
LanguageEN
Citations received7
References cited65

Taking the case of defining “talent,” a term that has been widely used but its definitions differ by discipline, organization, policy sector, as well as over time, we demonstrate how the basic definition of a policy subject may affect policy design and the assessment of policy outcomes. We review how “talent” is defined in two sets of literature, talent management and migration studies, and find that definitions fall under one of two categories: binary (“talent” as qualities) or composite (“talent” as a relational concept). The implications of our findings are epistemological and ontological; the findings point to diverse epistemological effects of definitions through developments of indicators, as expected, and they also reveal the policy designers’ ontological starting points. Ontological perspectives are significant because they ultimately determine whether the policy assessments carried out differ in degrees or in kind. In the case of defining “talent,” this means determining which objectives the designers would set (e.g., recruiting vs. cultivating vs. introducing competition), the policy instrumentation for achieving the goals (migration measures vs. education vs. lifelong learning vs. human resource policy), and the type of assessment for measuring policy outcomes (single vs. multiple indicators, qualitative vs. quantitative

Business · Competition (biology · Economics · Knowledge management · Management science · Point (geometry · Set (abstract data type · Sociology · Subject (documents · Computer Science · Higher Education Learning Practices · Human Resource and Talent Management · Mathematics · Moyamoya disease diagnosis and treatment · Psychology

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Unique citing works7
Citations per year1
Citation span2019 - 2026 (8)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 7

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