An Empirical Study on Tacit Knowledge Sharing Based on Social Network Analysis

At present, entrepreneurship education research has become the current research focus. The research of entrepreneurial education mainly studies the quality of entrepreneurs and the curriculum system of entrepreneurship education. Some researchers study entrepreneurial education through knowledge sharing, especially tacit knowledge sharing. With China’s “popular entrepreneurship and innovation”, entrepreneurship education research to a higher level. Status shows that the current college entrepreneurial rate is low, but Yiwu Industrial and Commercial College students entrepreneurial rate reached a leading level in the world. However, the student entrepreneurial rate is still ahead of the national level, but the student business rate has declined since 2015. Therefore, in order to understand this situation and continue to maintain a higher rate of entrepreneurship, this study choose from the perspective of tacit knowledge sharing, the use of social network analysis method to study the problem. First, this study discusses the elements of tacit knowledge sharing in social network of entrepreneurial class from the aspects of network density and distance, centrality, cohesion and structural hole analysis. Secondly, taking social network established by an entrepreneurship class students of Yiwu Industrial and Commercial College as an example through interviews and questionnaires. Thirdly, the social network analysis (SNA) method is used to study the exchange and sharing of entrepreneurial tacit knowledge in this social network. Through the study, it is found that there are a series of factors that hinder the spread of tacit knowledge in the existing social network of entrepreneurship class, which indirectly affects the efficiency of entrepreneurship education. Finally, this paper puts forward some corresponding countermeasures and suggestions on these problems which can be used to improve the entrepreneurial rate of college students and to promote the sustainable development of national economy.

[1]  Naixue Xiong,et al.  Comparative analysis of quality of service and memory usage for adaptive failure detectors in healthcare systems , 2009, IEEE Journal on Selected Areas in Communications.

[2]  Xingming Sun,et al.  Fast Motion Estimation Based on Content Property for Low-Complexity H.265/HEVC Encoder , 2016, IEEE Transactions on Broadcasting.

[3]  Naixue Xiong,et al.  A self-adaptive K selection mechanism for re-authentication load balancing in large-scale systems , 2011, The Journal of Supercomputing.

[4]  Chengsheng Yuan,et al.  Coverless Image Steganography Based on SIFT and BOF , 2017 .

[5]  Ting Hu,et al.  Evolvable hardware design based on a novel simulated annealing in an embedded system , 2012, Concurr. Comput. Pract. Exp..

[6]  Naixue Xiong,et al.  Multi-layer clustering routing algorithm for wireless vehicular sensor networks , 2010, IET Commun..

[7]  Yanbo Wang,et al.  The impact of employees’ relationships on tacit knowledge sharing , 2015 .

[8]  Dean A. Shepherd,et al.  Mixed Method Social Network Analysis , 2017 .

[9]  R. Cross,et al.  The people who make organizations go--or stop. , 2002, Harvard business review.

[10]  Naixue Xiong,et al.  A Bare-Metal and Asymmetric Partitioning Approach to Client Virtualization , 2014, IEEE Transactions on Services Computing.

[11]  Naixue Xiong,et al.  Model-Driven Development of Reconfigurable Protocol Stack for Networked Control Systems , 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[12]  Xingming Sun,et al.  Enabling Personalized Search over Encrypted Outsourced Data with Efficiency Improvement , 2016, IEEE Transactions on Parallel and Distributed Systems.

[13]  Qian Wang,et al.  A Secure and Dynamic Multi-Keyword Ranked Search Scheme over Encrypted Cloud Data , 2016, IEEE Transactions on Parallel and Distributed Systems.

[14]  Naixue Xiong,et al.  TPGF: geographic routing in wireless multimedia sensor networks , 2010, Telecommun. Syst..

[15]  Sascha G. Walter,et al.  Knowledge context and entrepreneurial intentions among students , 2012 .

[17]  Khalid Mahmood,et al.  Contributing factors in knowledge sharing for performance of university students in teachers’ training programs , 2016 .

[18]  Steven B. Andrews,et al.  Structural Holes: The Social Structure of Competition , 1995, The SAGE Encyclopedia of Research Design.

[19]  L. Freeman.  Centrality in social networks conceptual clarification , 1978 .

[20]  Naixue Xiong,et al.  A Distributed Efficient Flow Control Scheme for Multirate Multicast Networks , 2010, IEEE Transactions on Parallel and Distributed Systems.

[21]  Naixue Xiong,et al.  Distributed Explicit Rate Schemes in Multi-Input–Multi-Output Network Systems , 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[22]  Weidong Huang,et al.  Drawing Social Networks Using Area-Labeling Rectangular Cartograms , 2012 .

[23]  Naixue Xiong,et al.  Distributed k-connected fault-tolerant topology control algorithms with PSO in future autonomic sensor systems , 2012, Int. J. Sens. Networks.

[24]  Xingming Sun,et al.  Efficient algorithm for k-barrier coverage based on integer linear programming , 2016, China Communications.