The effect of network characteristics and knowledge tacitness on inter-enterpriseknowledge transfer based on the modificatory effect of network characteristics

Science Research Management ›› 2012, Vol. 33 ›› Issue (9): 107-115.

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The effect of network characteristics and knowledge tacitness on inter-enterpriseknowledge transfer based on the modificatory effect of network characteristics

Zhu Yali¹, Sun Yuan², Di Ruibo¹

1. Hangzhou Institute of Commerce, Institute of Transformation and Development Research,Zhejiang Gongshang University, Hangzhou 310035, China;
2. School of Business Administration, Center for Contemporary Business and Trade Research,Zhejiang Gongshang University, Hangzhou 310018, China

Received:2011-08-08 Revised:2012-06-06 Online:2012-09-27 Published:2012-09-20

Abstract

Abstract: From the viewpoint of enterprise, with the negative impact of knowledge tacitness on the effect of knowledge transfer, the modificatory effect of connection strength, network density, network range, and centrality of both receiving enterprise and source enterprise is discussed. Empirical analysis shows that only the network range and network centrality of source enterprise has a significant modificatory effect, while the modificatory effect of connection strength, network density, and network range of receiving enterprise has not been found. This conclusion implies that during the transfer of knowledge with relatively high degree of tacit, it is more important to gain an active coordination from source enterprise than the effort from receiving enterprise.

Key words: network characteristics, knowledge tacitness, inter- enterprise knowledge transfer effect

CLC Number:

F273.7

Zhu Yali, Sun Yuan, Di Ruibo. The effect of network characteristics and knowledge tacitness on inter-enterpriseknowledge transfer based on the modificatory effect of network characteristics[J]. Science Research Management, 2012, 33(9): 107-115.

References

[1] Granovetter, M. S. The strength of weak ties [J]. American Journal of Sociology, 1973, 78(6): 1360-1380.
[2] Hansen, M. T. The search-transfer problem:the role of weak ties in sharing knowledge across organization subunits[J]. Administrative Science Quarterly, 1999, 44(1): 82-111.
[3] Uzzi, B. & Lancaster, R. Relational embeddedness and learning: the case of bank loan managers and their clients[J]. Management Science, 2003, 49(4): 383-399.
[4] Reagans, R. & McEvily, B. Network structure and knowledge Science e transfer: the effects of cohesion and range [J]. Administrative Science Quarterly, 2003, 48(2): 240-267.
[5] Kraatz, M. S. Learning by association? Interorganizational networks and adaptation to environmental change [J]. Academy of Management Journal, 1998, 41(6): 612-643.
[6] 朱亚丽. 网络中心性对企业间知识转移影响的实证研究[J] . 技术经济, 2008, 27(12): 1-6.
[7] 刘军. 社会网络分析导论[M]. 北京:社会科学文献出版社,2004: 127.
[8] Zander, U. & Kogut, B. Knowledge and the speed of the transfer and imitation of organizational capabilities: an empirical test [J]. Organization, 1995, 6(1): 76-92.
[9] Simonin, B. L. Ambiguity and the process of knowledge transfer in strategic alliances [J]. Strategic Management Journal, 1999, 20(7): 595-623.
[10] Cummings, J. L. & Teng B. S. Transferring R&D knowledge: the key factors affecting knowledge transfer success [J]. Journal of Engineering Technology Management, 2003, 20: 39-68.
[11] Coleman, J. S. Foundations of social theory [M]. Cambridge, MA: Harvard University Press, 1990: 185-187, 241-248
[12] Levin, D. & Cross, R. The strength of weak ties you can trust: the mediating r ole of trust in effective knowledge transfer [J]. Management Science, 2003, 50(11): 1477-1490.
[13] Skvoretz, J., Fararo, T. J. & Agneessents, F. Advanced in biased net theory: definitions, derivations, and estimations [J]. Social Network, 2004, 26(2): 113-139.
[14] 王晓娟. 知识网络与集群企业竞争优势研究 . 浙江大学, 2007: 171-173
[15] Giuliani, E., Bell, M. The micro-determinants of meso-level learning and innovation:evidence from a Chilean wine cluster [J]. Research Policy, 2005, 34(1): 47-68.
[16] Argote, L. & Ingram, P. Knowledge transfer: a basis for competitive advantage of firms [J]. Organizational Behavior and Human Decision Processes, 2000, 82 (1): 150-169.
[17] Szulanski, G. Exploring internal stickiness: impediments to the transfer of best practice within the firm [J]. Strategic Management Journal, 1996, 17 (Summer special issue): 27 43.
[18] 温忠麟, 侯杰泰和张雷. 调节效应与中介效应的比较和应用[J]. 心理学报, 2005, 37(2): 268-274.
[19] Appleyard, M. M. How does knowledge flow? Inter-firm patterns in the semi- conductor industry [J]. Strategic Management Journal, 1996, 17(winter special issue): 137-154.
[20] Granovetter, M. S. Economic action and social structure: the problem of embeddedness [J]. The American Journal of Sociology, 1985, 91(3): 481-510.
[21] Dodgson, M. Organizational learning: a review of some literatures [J]. Organization studies, 1993, 14(3): 375-394.

The effect of network characteristics and knowledge tacitness on inter-enterpriseknowledge transfer based on the modificatory effect of network characteristics

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