发明家网络中结构洞填充的影响因素研究

孙笑明, 崔文田, 董劲威

科研管理 ›› 2013 ›› Issue (7) : 31-38,44.

PDF(1557 KB)
PDF(1557 KB)
科研管理 ›› 2013 ›› Issue (7) : 31-38,44.
论文

发明家网络中结构洞填充的影响因素研究

  • 孙笑明, 崔文田, 董劲威
作者信息 +

The influential factors of structural hole filling within inventor networks

  • Sun Xiaoming, Cui Wentian, Dong Jinwei
Author information +
文章历史 +

摘要

企业内部发明家合作创新网络中的结构洞对提高发明家的创新绩效有着重要作用,这在西方个人主义文化中得到了广泛论证。而近来的研究表明,在中国的集体主义和儒家传统文化中,填充结构洞才能得到更高的绩效。在此背景下,基于13家中国高新技术企业的专利数据,研究了这些企业内部研发团队的网络结构(社会资本)差异和成员特征(人力资本)差异对结构洞填充的影响。研究发现,团队的网络中心性差异和地位差异均对结构洞的填充产生显著正向影响;团队的知识范围差异与结构洞填充之间存在倒U型关系。

Abstract

The high innovation performance of inventors could be largely attributed to the richness of structural holes within their collaborative networks. This argument has been widely confirmed in western culture featured by individualism. However, some recent research suggests that filling structural holes are much more beneficial to Chinese inventors embedded in a collective and Confucian culture. Based on the patent data of 13 Chinese high-tech enterprises, how the difference of network structures (social capital) and inventors’ characteristics (labor capital) affects the filling of structural holes between teams is studied. Results indicate that differences of team centrality and team status lead to a significant and positive effect on the filling of structural holes. Furthermore, the results also show that there is an inverted-U relationship between the scope difference of team knowledge and the filling of structural holes.

关键词

高新技术企业 / 结构洞 / 专利 / Cox风险比例模型 / 网络

Key words

high-tech enterprise / structural hole / patent / Cox proportional hazard model / network

引用本文

导出引用
孙笑明, 崔文田, 董劲威. 发明家网络中结构洞填充的影响因素研究[J]. 科研管理. 2013(7): 31-38,44
Sun Xiaoming, Cui Wentian, Dong Jinwei. The influential factors of structural hole filling within inventor networks[J]. Science Research Management. 2013(7): 31-38,44
中图分类号: C936   

参考文献

[1] 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. [2] Burt, R. S. Social contagion and innovation: cohesion versus structural equivalence [J]. American Journal of Sociology, 1987, 92(6): 1287-1335. [3] Kang, M., Kim, Y. A multilevel view on interpersonal knowledge transfer [J]. Journal of The American Society for Information Science and Technology, 2010, 61(3):483-494. [4] Fleming, L., S. Mingo, S., and Chen, D. Collaborative brokerage, generative creativity, and creative success [J]. Administrative Science Quarterly, 2007, 52(3): 443-475. [5] Cowan, R., Jonard, N. Network structure and the diffusion of knowledge [J]. Journal of Economic Dynamics & Control, 2004, 28: 1557-1575. [6] 李金华.创新网络的结构及其与知识流动的关系[M].北京:经济科学出版社,2009.Li Jin-hua. The structure of innovation networks and its relationship with knowledge transfer [M]. Beijing: The Publishing House Of Economic Science, 2009. [7] Ahuja, M. K., Galletta, D. F., and Carley, K. M. Individual centrality and performance in virtual R&D groups: An empirical study [J]. Management Science, 2003, 49(1): 21-38. [8] Nekar, A., Paruchuri, S. Evolution of R&D capabilitis: the role of knowledge network within a firm [J]. Management Science, 2005, 51(5): 771-785. [9] Zaheer, A., Soda, G. Network evolution: the origins of structural holes [J]. Administrative Science Quarterly, 2009, 54: 1-31. [10] Lee, J.J. Heterogeneity, brokerage, and innovative performance: endogenous formation of collaborative inventor networks [J]. Organization Science, 2009, 21(4): 804-802. [11] Burt, R. S. Structural holes and good ideas [J]. American Journal of Sociology, 2004, 110(2): 349-399. [12] Xiao, Z., Tsui, A.S. When brokers may not work: the cultural contingency of social capital in chinese high-tech firms [J]. Administrative Science Quarterly, 2007, 52:1-31. [13] NallaPiet, J., Ghoshal, S. Social capital, intellectual capital, and the organizational advantage [J]. Academy of Management Review, 1998, 23(2): 242-26. [14] Vega-Redondo, F. Building up social capital in a changing world [J]. Journal of Economic Dynamics & Control, 2006, 30(11): 2305-2338. [15] Becker, G. S.Human capital: a theoretical and empirical analysis, with special reference to education [M]. Chicago: University of Chicago Press.,1993, 3rd ed. [16] 刘军 编著.整体网分析讲义: UCINET软件实用指南 [M]. 上海: 格致出版社, 2009. Liu Jun. Lectures on whole network approach: A practical guide to UCINET [M]. Shanghai: Truth and Wisdom Press, 2009. [17] Reagans, R., McEvily, B. How to make the team: social networks vs. demography as criteria for designing effective teams [J]. Administrative Science Quarterly, 2004, 49: 101-133. [18] Burt, R. S. Structural Holes: The Structure of Competition [M]. Cambridge: Harvard University Press, 1992. [19] Luo, X., Deng, L. Do birds of a feather flock higher? The effects of partner similarity on innovation in strategic alliances in knowledge-intensive industries [J]. Journal of Management Studies, 2009, 46(6): 1005-1030. [20] Byrne, D. The attraction paradigm [M]. New York: Academic Press, 1971. [21] Gardner A., West S.A. Greenbeards [J]. Evolution, 2010, 64(1): 25-38. [22] Newman, M.E.J., Park, J. Why social networks are different from other types of networks [J]. Physical Review E, 2003, 68: 036122. [23] Albert, R, Barabasi, A. Statistical mechanics of complex networks [J]. Reviews of Modern Physics, 2002, 74(1): 47-97. [24] Venkatraman, N., Lee, C. Preferential linkage and network evolution: a conceptual model and empirical test in the U.S. video game sector [J]. Academy of Management Journal, 2004, 47(6): 876-892. [25] Capaldo, A. Network structure and innovation: the leveraging of a dual network as a distinctive relational capability [J]. Strategic Management Journal, 2007, 28: 585-608. [26] Cununings, J.L. Knowledge transfer across R&D units: an empirical investigation of the factors affecting sueeessful knowledge transfer across intra- and inter-orgnization units [D].UnPublished doetoral dissertation, GeorgeWashington University, 2001. [27] Nystrom, P.C., Starbuck, W.H. To avoid organizational crises, unlearn [J]. Organizational Dynamics, 1984, 12(4): 53-65. [28] Reagans, R., Zuckerman, E.W. Networks, diversity, and productivity: the social capital of corporate R&D teams [J]. Organization Science, 2001, 12(4): 502-517. [29] Rivera, M.T., Soderstrom, S.B., and Uzzi, B. Dynamics of dyads in social networks: assortative, relational, and proximity mechanisms [J]. Annual Review of Sociology, 2010, 36: 91-115. [30] Borgatti, S.P., Everett, M.G., and Freeman, L.C. Ucinet for windows: software for social network analysis [CP/DK]. Harvard, MA: Analytic Technologies, 2002. [31] Bonacich, P. Power and centrality: a family of measures [J]. American Journal of Sociology, 1987, 92:1170-1182. [32] Cox, D.R. 1972. Regression models and life tables [J]. Journal of the Royal Statistical Society, B34: 187-220. [33] Pfeffer, J. Organizational demography: Implications for management [J]. California Management Review, 1985, 28(1): 67-81. [34] Ancona, D.G., Caldwell, D.F. Demography and design: predictors of new product team productivity [J]. Organization Science, 1992, 3: 3321-3341.

基金

国家自然基金项目"中国高新技术企业内部创新网络特征及其对创新绩效的作用机理"(编号:71072128,时间:2011-2013)、"基于DBT循环理论和并行工程的新产品开发过程优化研究"(编号:71001084,时间:2011-2013) 支持。


PDF(1557 KB)

Accesses

Citation

Detail

段落导航
相关文章

/