TY - GEN
T1 - Research on the knowledge sharing of the university interdisciplinary team based on social network analysis
AU - Zhang, Xue Yan
AU - Wang, Xiao Hong
AU - Huang, Chao
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/7/2
Y1 - 2016/7/2
N2 - Interdisciplinary research brings scientists from various disciplines together to share new views and explore solutions to important problems nowadays. However, due to heterogeneity of knowledge and communication problems, the effect of knowledge sharing within UITs (University Interdisciplinary Teams) is not obvious at present. This leads to frustration in the team. There is a huge need to study how social network relations influence the knowledge sharing process in UITs. In this paper, we applied the social network theory to UITs' knowledge sharing process. Based on theory analysis, we conducted an empirical research on a UIT. Using the data, we analyzed the relationship network in knowledge sharing process in UITs using SNA to test the above theory. From the perspectives of weak ties, structural holes and social capital theory, analysis and evaluation on the sharing of knowledge across the case UIT and suggestions are made to improve the effectiveness of knowledge sharing.
AB - Interdisciplinary research brings scientists from various disciplines together to share new views and explore solutions to important problems nowadays. However, due to heterogeneity of knowledge and communication problems, the effect of knowledge sharing within UITs (University Interdisciplinary Teams) is not obvious at present. This leads to frustration in the team. There is a huge need to study how social network relations influence the knowledge sharing process in UITs. In this paper, we applied the social network theory to UITs' knowledge sharing process. Based on theory analysis, we conducted an empirical research on a UIT. Using the data, we analyzed the relationship network in knowledge sharing process in UITs using SNA to test the above theory. From the perspectives of weak ties, structural holes and social capital theory, analysis and evaluation on the sharing of knowledge across the case UIT and suggestions are made to improve the effectiveness of knowledge sharing.
KW - Knowledge sharing
KW - Scientific and research management
KW - Social network analysis
KW - University interdisciplinary team
UR - https://www.scopus.com/pages/publications/85048255655
U2 - 10.1109/ICMSE.2016.8365476
DO - 10.1109/ICMSE.2016.8365476
M3 - 会议稿件
AN - SCOPUS:85048255655
T3 - International Conference on Management Science and Engineering - Annual Conference Proceedings
SP - 478
EP - 485
BT - 2016 International Conference on Management Science and Engineering, ICMSE 2016
PB - IEEE Computer Society
T2 - 23rd International Conference on Management Science and Engineering, ICMSE 2016
Y2 - 18 August 2016 through 20 August 2016
ER -