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Title: Dynamics of collaboration among high-growth firms: results from an agent-based policy simulation
Authors: Anna, Varga-Csajkás
Tamás, Sebestyén
Attila, Varga
Issue Date: 2022
Publisher: Springer
Abstract: This study aims to show how supporting new business formation could promote the emergence of new ties in the knowledge network. Stimulating start-ups is conducive to the innovation system and economic development, however, we show how it has additional beneficial effects by the increasing the density of the innovation network. An innovation network is a complex socioeconomic phenomenon, which emerges from the decisions of many heterogeneous agents, that justifies the use of an agent-based model (ABM). We introduce an application of an ABM that is appropriate for simulating network formation among organizations. Agents are placed in the two-dimensional abstract social space where they are moving toward each other to find cooperation partners, following the gravity principle.
Description: CC BY
URI: https://link.springer.com/article/10.1007/s00168-022-01150-w
https://dlib.phenikaa-uni.edu.vn/handle/PNK/7772
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