Stammdaten

Titel: The Benefits of Coordination in Adaptive Virtual Teams
Untertitel:
Kurzfassung:

The emergence of new organizational forms—such as virtual teams—has brought forward some challenges for teams. One of the most relevant challenges is coordinating the decisions of team members who work from different places. Intuition suggests that task performance should improve if the team members’ decisions are coordinated. However, previous research suggests that the effect of coordination on task performance is ambiguous. Specifically, the effect of coordination on task performance depends on aspects such as the team members’ learning and the changes in team composition over time. This paper aims to understand how these two factors moderate the relationship between coordination and task performance. We implement an agent-based modeling approach based on the NK framework to fulfill our research objective. Our results suggest that both factors have moderating effects. Specifically, we find that excessive individual learning harms the task performance of fully autonomous teams but is less detrimental for teams that coordinate their decisions. In addition, we find that teams that coordinate their decisions benefit from changing their composition in the short term, but fully autonomous teams do not. In conclusion, teams that coordinate their decisions benefit more from individual learning and dynamic composition than teams that do not coordinate. Nevertheless, we should note that the existence of moderating effects does not imply that coordination improves task performance. Whether coordination improves task performance depends on the interdependencies between the team members’ decisions.

Schlagworte: coordination, complex task, individual learning, team composition, agent-based modelling
Publikationstyp: Beitrag in Proceedings (Autorenschaft)
Erscheinungsdatum: 30.09.2023 (Online)
Erschienen in: Advances in Social Simulation 2023
Advances in Social Simulation 2023
zur Publikation
 ( Springer, Cham; F. Squazzoni )
Titel der Serie: Springer Proceedings in Complexity
Bandnummer: -
Erstveröffentlichung: Ja
Version: -
Seite: S. 435 - 447

Versionen

Keine Version vorhanden
Erscheinungsdatum: 30.09.2023
ISBN (e-book): -
eISSN: -
DOI: -
Homepage: https://link.springer.com/chapter/10.1007/978-3-031-34920-1_35
Open Access
  • Online verfügbar (nicht Open Access)

Zuordnung

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
  • 502044 - Unternehmensführung
Forschungscluster
  • Selbstorganisierende Systeme
  • Humans in the Digital Age
Peer Reviewed
  • Ja
Publikationsfokus
  • Science to Science (Qualitätsindikator: I)
Klassifikationsraster der zugeordneten Organisationseinheiten:
Arbeitsgruppen
  • DECIDE (Decision-making in a digital environment)

Kooperationen

Keine Partnerorganisation ausgewählt

Beiträge der Publikation

Keine verknüpften Publikationen vorhanden