The Relation between Organizational Network Distance and Knowledge Transfer Based on Social Network Analysis Method

Muyun Sun

Abstract


As a means to maintain competitive advantages of organizations, knowledge transfer has attracted more and more attention in the academic circle. In this paper, the concept of network distance is introduced on the basis of social network analysis method, and the influence of network distance between organizations in social network on knowledge transfer is studied. Moreover, analogue simulation is conducted by utilizing 10 innovative enterprises in Shanghai Withub Hi-Tech Center. According to the researches, firstly, knowledge growth rate of the entire network tends to increase at first and then becomes stable as time passes. In this process, knowledge difference level among various organizations continues to decline and tends to be stable finally. Secondly, network distance has a negative effect on knowledge transfer. According to the simulation results, organizations need to continuously improve their knowledge absorption ability, to change the network connection mode, and to form a close network with other organizations.

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Copyright (c) 2017 Muyun Sun


International Journal of Emerging Technologies in Learning. ISSN: 1863-0383
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