Systems-oriented talent management: a design and validation study

Research output: ThesisPhD Thesis - Research UT, graduation UT

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Abstract

In 2012, Brouwer introduced the initial systems-oriented talent management (STM) model: a method to build a sustainable match between an organisation and its (future) employees by aligning business purpose and human talent from both a psychological and a managerial perspective. The STM model was elaborated into an online assessment instrument, named STM-scan. The initial STM-scan has been used over 1,000 times. Multiple intermediate evaluations affirmed that clients and candidates are satisfied with the application possibilities and the insights provided by the tool. However, the design of the STM-scan was based solely on practice. This raises a couple of questions. First, there is the question of whether the composition and configuration of the STM can also be scientifically proven. Second, it brings up the question of whether the initial version supports two of the key criteria of the COTAN review system: reliability and validity. Finally, it raises the question of what can be asserted about STM’s utility.
Consequently, this dissertation is a design and validation study of the initial systems-oriented talent management model. In order to evaluate the best-practice oriented model and to design and validate an evidence-based version of the initial STM-scan, the current study used both qualitative and quantitative research methods. The improved STM contributes to the future bridging of the gap between psychological questionnaires for testing human characteristics and models for unravelling managerial building blocks. The design and validation studies in this dissertation confirmed that this conduces to a more sustainable and age-dependent match between the organisation’s rationale and a person’s innate individual character. Therewith, the study joined the debate on how an adaptive enterprise ought to be organised these days and how to give shape to the corresponding upscaling that is required of their talent management experts.
Original languageEnglish
Awarding Institution
  • University of Twente
Supervisors/Advisors
  • Eggen, Theo T.J.H.M., Supervisor
  • Veldkamp, Bernard P., Supervisor
Award date20 Dec 2018
Place of PublicationEnschede
Publisher
Print ISBNs978-90-365-4684-3
DOIs
Publication statusPublished - 20 Dec 2018

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