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Open Access Article
1 - Organizational Learning and Knowledge Spillover in Innovation Networks: Agent-Based Approach (Extending SKIN Framework)
M. Mahmoudzadeh M. Alborzi S. Ghazinoori S. Khalili ShavariniIn knowledge-based economy, knowledge has a public good and non-rivalry nature. Firms build their ownknowledge stock not only by means of internal R&D and collaboration with partners, but also by means ofpreviously spilled over knowledge of other firms and public re MoreIn knowledge-based economy, knowledge has a public good and non-rivalry nature. Firms build their ownknowledge stock not only by means of internal R&D and collaboration with partners, but also by means ofpreviously spilled over knowledge of other firms and public research laboratories (such as universities). Firmsbased on their absorptive capacity, and level of intra-industry and extra-industry knowledge spillover could learnto produce innovative products. SKIN (Simulating Knowledge Dynamics in Innovation Networks) is an agentbaseframework to study knowledge dynamics between innovative firms. The basic SKIN framework does notsupport absorptive capacity and knowledge spillover concepts, so this paper extends basic SKIN framework andadds absorptive capacity and knowledge spillover to it, and experiments -by simulation- the effect of theseconcepts on organizational learning. The results show that absorptive capacity has a moderating effect onorganizational learning. This effect has been measured by the firms' population, average innovation length,Herfindahl Index and network density. Manuscript profile
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