IEEE Access (Jan 2023)

The Evolution and Knowledge Change of Innovation Cooperation Network in Platform Ecosystem: A Computer Simulation From Complex Network Perspective

  • Chen Xuelin,
  • Zhou Yang,
  • Zhou Dongmei,
  • Lu Ruoyu

DOI
https://doi.org/10.1109/ACCESS.2023.3250964
Journal volume & issue
Vol. 11
pp. 22221 – 22232

Abstract

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Platform ecosystems, as a new organizational form, provide enterprises with new contexts for innovation and entrepreneurship. However, due to a lack of dynamic data, we do not understand how the platform ecosystem evolves. Because the traditional methods have limitations, this study uses computer simulations to investigate the evolution and knowledge change of innovative cooperation networks in the platform ecosystem from the perspective of complex networks. The results indicate that the platform ecosystem’s innovation cooperation network evolves around initial network enterprises. The degree of enterprise cooperation shows a trend of decreasing first then increasing, but the efficiency of enterprise cooperation gradually decreases. Second, as the network evolves, the knowledge level rises, whereas the knowledge growth rate falls in the platform ecosystem. Meanwhile, the impact of network structure on knowledge change is unclear, whereas enterprise knowledge creation capability, knowledge absorption capability, and competitive pressure all have a significant impact on knowledge change.

Keywords