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https://doi.org/10.5463/thesis...
Doctoral thesis . 2023 . Peer-reviewed
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Unraveling leadership potential

Learning agility as a long-term predictor of growth in effective leader behaviors
Authors: Bouland-van Dam, Sophie Ingrid Maria;

Unraveling leadership potential

Abstract

As leaders have a significant impact on organizational performance, the identification and development of (potential) leaders in organizations is of utmost importance to gain competitive advantage. However, current leadership potential research deals with conceptual and measurement issues such as the conflation of constructs and the confusion of current performance and future potential. Similar issues refer to learning agility research. This is problematic, as learning agility is considered an important determinant of leader potential and performance, specifically in today’s complex and unpredictable business context. Therefore, this dissertation sheds light on the difficulties concerning leadership potential research by proposing a novel conceptualization of leadership potential in which a long-term approach is pivotal, and by applying a subsequent measurement approach in the different studies in this dissertation. Moreover, learning agility is reconceptualized and its role as a long-term predictor of growth in effective leader behaviors is examined.

Country
Netherlands
Keywords

learning agility, validiteit, validity, Leiderschapspotentieel, effectief leiderschapsgedrag, growth, scale development, schaalontwikkeling, effective leader behaviors, groei, Leadership potential

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average