Abstract
This study presents a cognitive perspective on the recruitment and selection of new employees in small teams. In doing so the article builds on a distributed cognitive theoretical framework and is inspired by current Person-environment fit (P-E fit) measurements. At the same time, the work presented in this article is an attempt to move forward traditional P-E fit measures by emphasizing the dynamic nature of a constantly evolving team environment. To explore the utility of such a perspective and to investigate its feasibility, the article presents an Agent-Based computational simulation Model (ABM). The results indicate that such an approach may be advisable for recruitment, particularly when dealing with a highly docile team environment and highly docile potential candidates.
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