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Conference object . 2024
License: CC BY
Data sources: ZENODO
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Article . 2024
License: CC BY
Data sources: Datacite
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
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A Concept for Team Development and Optimisation

Authors: Aeschbacher, Marc; Legena, Valeria;

A Concept for Team Development and Optimisation

Abstract

With the advent of computerisation in the world of work, mutually dependent developments can be seen in modern industrial societies: the enor-mous increase in productivity goes hand in hand with the increase in task com-plexity. Simple and repetitive tasks are disappearing more and more from the realm of human activities as a result of automation. Recently, we have seen an acceleration and accentuation of this development logic. Interestingly, with the introduction of artificial intelligence, the importance of human expertise in the areas of creativity, networked and analytical thinking and solving complex prob-lems is increasing. If we want to ensure the future success of our organisations under these conditions, we must not only redefine the relationship with the mem-bers of our organisation, but also shape it in a future-oriented, success-oriented and, above all, employee-oriented way. To this end, we are presenting a concept for team development and optimisation. 

Keywords

team optimisation, Leadership, employees, Roles, Team development, Manager, Team Identity, Strategies, Team, team Spirit

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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