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Research Article
 

Dynamic Optimization of Knowledge innovation capability based on PSO



Weiwei Liu and Kexin Bi
 
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ABSTRACT

Knowledge innovation capability is considered as the major one of organizational innovation capabilities and it, therefore, plays a more vital role in developing a sustainable competitive advantage for organizations, especially in a dynamic environment. Since, knowledge and its values have now become a major source of competitive advantage for organizations, only by possessing knowledge innovation capability, can organizations maintain a dynamic and sustainable competitive advantage. Although enormous studies have focused on the issue of knowledge innovation, those studies did not investigate how to optimize knowledge innovation capability of organizations. In this study, the process of knowledge innovation capability optimization based on Particle Swarm Optimization (PSO) is proposed in order to optimize knowledge innovation capability and realize a global optimal knowledge innovation for organizations. Moreover, a simulation study is pulled into to illustrate the feasibility and availability of PSO from the empirical perspective. This study is expected to be helpful for organizations to develop and optimize their knowledge innovation capability from an evolutionary perspective.

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  How to cite this article:

Weiwei Liu and Kexin Bi, 2013. Dynamic Optimization of Knowledge innovation capability based on PSO. Journal of Applied Sciences, 13: 2331-2335.

DOI: 10.3923/jas.2013.2331.2335

URL: https://scialert.net/abstract/?doi=jas.2013.2331.2335
 

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