Stammdaten

Titel: The effects of group adaptation on task performance: An agent-based approach
Untertitel:
Kurzfassung:

Organisations rely upon group formation to solve complex tasks, and groups often adapt to the demands of the task they face by changing their composition periodically. Previous research has often employed experimental, survey-based, and fieldwork methods to study the effects of group adaptation on task performance. This paper, by contrast, employs an agent-based approach to study these effects. There are three reasons why we do so. First, agent-based modelling and simulation allows to take into account further factors that might moderate the relationship between group adaptation and task performance, such as individual learning and task complexity. Second, such an approach allows to study large variations in the variables of interest, which contributes to the generalisation of our results. Finally, by employing an agent-based approach, we are able to study the longitudinal effects of group adaptation on task performance. Longitudinal analyses are often missing in prior related research. Our results indicate that reorganising well-performing groups might be beneficial, but only if individual learning is restricted. However, there are also cases in which group adaptation might unfold adverse effects. We provide extensive analyses that shed additional light on and help explain the ambiguous results of previous research.






Schlagworte:
Publikationstyp: Beitrag in Zeitschrift (Autorenschaft)
Erscheinungsdatum: 28.08.2023 (Online)
Erschienen in: PLOS ONE
PLOS ONE
zur Publikation
 ( Public Library of Science; )
Titel der Serie: -
Bandnummer: 18
Heftnummer: 8
Erstveröffentlichung: Ja
Version: -
Seite: S. e0290578

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Keine Version vorhanden
Erscheinungsdatum: 28.08.2023
ISBN (e-book): -
eISSN: -
DOI: http://dx.doi.org/10.1371/journal.pone.0290578
Homepage: https://doi.org/10.1371/journal.pone.0290578
Open Access
  • In einem Open-Access-Journal erschienen

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Organisation Adresse
Universität Klagenfurt
 
Digital Age Research Center (D!ARC)
 
Doktoratskolleg Decide
Universitätsstr. 65-67
A-9020 Klagenfurt
Österreich
zur Organisation
Universitätsstr. 65-67
AT - A-9020  Klagenfurt
Fakultät für Wirtschafts- und Rechtswissenschaften
 
Institut für Unternehmensführung
 
Abteilung für Controlling und Strategische Unternehmensführung
Universitätsstrasse 67
9020 Klagenfurt
Österreich
   IFU_CSU@aau.at
https://www.aau.at/csu
zur Organisation
Universitätsstrasse 67
AT - 9020  Klagenfurt

Kategorisierung

Sachgebiete
  • 101015 - Operations Research
  • 102009 - Computersimulation
  • 502052 - Betriebswirtschaftslehre
  • 502044 - Unternehmensführung
Forschungscluster
  • Selbstorganisierende Systeme
  • Humans in the Digital Age
Zitationsindex
  • Science Citation Index Expanded (SCI Expanded)
Informationen zum Zitationsindex: Master Journal List
Peer Reviewed
  • Ja
Publikationsfokus
  • Science to Science (Qualitätsindikator: I)
Klassifikationsraster der zugeordneten Organisationseinheiten:
Arbeitsgruppen
  • DECIDE (Decision-making in a digital environment)

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Beiträge der Publikation

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