Please use this identifier to cite or link to this item: https://doi.org/10.15480/882.3625
Publisher DOI: 10.1007/s11573-021-01052-x
Title: Toward a better understanding of team decision processes : combining laboratory experiments with agent-based modeling
Language: English
Authors: Lorscheid, Iris 
Meyer, Matthias 
Issue Date: Nov-2021
Publisher: Springer
Source: Journal of Business Economics 91 (9) : 1431-1467 (2021-11)
Abstract (english): 
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.
URI: http://hdl.handle.net/11420/9837
DOI: 10.15480/882.3625
ISSN: 0044-2372
Journal: Journal of business economics 
Institute: Controlling und Simulation W-1 
Document Type: Article
Project: Projekt DEAL 
License: CC BY 4.0 (Attribution) CC BY 4.0 (Attribution)
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