Title :
Effects of Social Network on Knowledge Transfer within R&D Team
Author :
Liu Hongli ; Fu Yao ; Chen Zhigao
Author_Institution :
Sch. of Bus., East China Univ. of Sci. & Technol., Shanghai, China
Abstract :
Effective knowledge transfer among team members has been one of the crucial factors that can facilitate team knowledge innovation and enhance team knowledge accumulation. This paper explores the effects of social network on knowledge transfer within team using mail-survey questionnaire approach. The results show that network structure has significant effects on knowledge transfer within team. Large size, high density, greater centrality and wide content network can facilitate knowledge transfer among team members. Tie strength has significant effects on knowledge transfer within team. Strong tie which has high interaction frequency, close intimacy, greater reciprocity can facilitate knowledge transfer among team members.
Keywords :
innovation management; research and development; social networking (online); R&D team; content network; knowledge transfer; mail-survey questionnaire approach; social network; team knowledge accumulation; team members;
Conference_Titel :
Information Management, Innovation Management and Industrial Engineering, 2009 International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-0-7695-3876-1
DOI :
10.1109/ICIII.2009.348