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Toward a better understanding of team decision processes : combining laboratory experiments with agent-based modeling
Citation Link: https://doi.org/10.15480/882.3625
Publikationstyp
Journal Article
Date Issued
2021-11
Sprache
English
Author(s)
Institut
TORE-DOI
TORE-URI
Journal
Volume
91
Issue
9
Start Page
1431
End Page
1467
Citation
Journal of Business Economics 91 (9) : 1431-1467 (2021-11)
Publisher DOI
Scopus ID
Publisher
Springer
Despite advances in the field, we still know little about the socio-cognitive processes of team decisions, particularly their emergence from an individual level and transition to a team level. This study investigates team decision processes by using an agent-based model to conceptualize team decisions as an emergent property. It uses a mixed-method research design with a laboratory experiment providing qualitative and quantitative input for the model’s construction, as well as data for an output validation of the model. First, the laboratory experiment generates data about individual and team cognition structures. Then, the agent-based model is used as a computational
testbed to contrast several processes of team decision making, representing potential, simplified mechanisms of how a team decision emerges. The increasing overall fit of the simulation and empirical results indicates that the modeled decision processes can at least partly explain the observed team decisions. Overall, we contribute to the current literature by presenting an innovative mixed-method approach
that opens and exposes the black box of team decision processes beyond well-known static attributes.
testbed to contrast several processes of team decision making, representing potential, simplified mechanisms of how a team decision emerges. The increasing overall fit of the simulation and empirical results indicates that the modeled decision processes can at least partly explain the observed team decisions. Overall, we contribute to the current literature by presenting an innovative mixed-method approach
that opens and exposes the black box of team decision processes beyond well-known static attributes.
DDC Class
330: Wirtschaft
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acceptedVersion
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