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A framework for digital talent assessment

Guidelines and applications

Bibliographic Data

ID15345669
AuthorsFrederick W Stander (fitt Talent, Dubai, UAE, Optentia Research Focus Area, North-West University, South Africa, corresponding author), Sebastiaan Rothmann (0000-0001-6065-4338, North-West University), Sebastian Rothmann (North-West University), Vesselin Popov (0009-0003-4186-5713, University of Cambridge Psychometrics Centre, Cambridge, United Kingdom), Luning Sun (0000-0002-2470-4278, University of Cambridge Psychometrics Centre, Cambridge, United Kingdom)
Year2022
Volume32
Issue5
Pages520-525
Publication date2022-09-03
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueJournal of Psychology in Africa (JOURNAL)
Journal identifiersISSN: 1433-0237 • E-ISSN: 1815-5626
PublisherTaylor & Francis (PUBLISHER • GB)
DOI10.1080/14330237.2022.2075543
OpenAlexW4295049498
LanguageEN
References cited58

Applied Psychology · Biomedical and Engineering Education · Higher Education Learning Practices · Human Resource and Talent Management · Psychology

  • The Importance of Job Autonomy, Cognitive Ability, and Job-Related Skill for Predicting Role Breadth and Job Performance.

    Frederick P Morgeson, Kelly Delaney-Klinger et al.•Journal of Applied Psychology•2005

  • The job demands-resources model

    Tino Lesener, Burkhard Gusy et al.•Work & Stress•2019

  • Transformational leadership and management safety practices

    Fabian O Ugwu, Adeline Nnenna Idike et al.•Journal of Psychology in Africa•2020

  • Multi-trait, multi-method talent assessment through a digital platform

    Frederick W Stander, Sebastiaan Rothmann et al.•Journal of Psychology in Africa•2022

  • Complexity theory and planning

    Open Access•Angelique Chettiparamb•Planning Theory•2013

  • Change Leadership

    Open Access•Mohammed Issah•SAGE Open•2018

Citation velocityhistorical
Highly citedNo

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Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae