Interactions between the individual and the group level in organizations: The case of learning and group turnover

Darío Blanco-Fernández, Stephan Leitner and Alexandra Rausch
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Darío Blanco-Fernández: University of Klagenfurt
Alexandra Rausch: University of Klagenfurt

Central European Journal of Operations Research, 2023, vol. 31, issue 4, No 5, 1087-1128

Abstract: Abstract Previous research on organizations often focuses on either the individual, team, or organizational level. There is a lack of multidimensional research on emergent phenomena and interactions between the mechanisms at different levels. This paper takes a multifaceted perspective on individual learning and autonomous group formation. To analyze interactions between the two levels, we introduce an agent-based model that captures an organization with a population of heterogeneous agents who learn and are limited in their rationality. To solve a task, agents form a group which experiences turnover from time to time, i.e., its composition changes periodically. We explore organizations that promote learning and changes in group composition either simultaneously or sequentially and analyze the interactions between the activities and the effects on performance. We observe underproportional interactions when tasks are interdependent and show that pushing learning and group turnover too far might backfire and decrease performance significantly.

Keywords: Agent-based modeling and simulation; Dynamic capabilities; Multi-level research; Group composition; Interaction effect; NK framework (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s10100-023-00843-7

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