网络嵌入性与地域根植性对联盟企业创新绩效的影响—对中国高科技上市公司的实证分析

科研管理 ›› 2013, Vol. 34 ›› Issue (11): 9-17.

网络嵌入性与地域根植性对联盟企业创新绩效的影响—对中国高科技上市公司的实证分析

赵炎, 郑向杰

上海大学管理学院, 上海 200444

收稿日期:2012-07-09 修回日期:2012-10-11 出版日期:2013-11-13 发布日期:2013-11-13
基金资助:
国家自然科学基金项目(项目编号:71003069;起止时间:2011.1-2013.12);上海市教育委员会科研创新项目(项目编号:10YZ23;起止时间:2010.1-2012.12);上海生产力学会青年学者资助项目"联盟网络结构对企业创新能力的影响"(起止时间:2012.4-2013.3)。

Impact of network embeddedness and geographic embeddedness on the innovationperformance of the alliance enterprises—An empirical research on the high-tech listed companies in China

Zhao Yan, Zheng Xiangjie

School of Management, Shanghai University, Shanghai 200444, China

Received:2012-07-09 Revised:2012-10-11 Online:2013-11-13 Published:2013-11-13

摘要/Abstract

摘要： 本文以资源依赖理论为支撑,基于社会网络与相关统计分析方法,构建了中国10个高科技行业的大规模联盟创新网络,研究了嵌入网络的420个上市公司的网络嵌入性与地域根植性对其创新绩效的影响。结果表明,个体中介中心性与行业网络密度对嵌入企业的创新绩效都有显著的正向影响,但中介中心性的影响具有明显的滞后效应;企业所在区域位置对其创新绩效的影响不显著,但企业的区域位置对联盟网络密度影响创新绩效具有调节效应,不在三大经济圈内的企业所在行业的网络密度对其创新绩效的影响消失。这些结论为相关政府部门制定联盟政策和企业开展联盟活动提供了科学依据。

关键词: 网络嵌入性, 地域根植性, 创新绩效, 高科技上市公司

Abstract: Supported by the resource-based view and based on the social network and relevant statistical analysis method, we built up a large-scale alliance innovation network of 10 high-tech industries in China, and studied the 420 listed companies as sample to explore the impact of network embeddedness and geographic embeddedness on their innovation performance. The results demonstrated that the centrality of the individual intermediary and the industrial network density have significant positive influences on the enterprise's innovation performance, but there is an obvious lag effect on the part of the intermediary centrality. We also found out that the geographic location of an enterprise is not related to its innovation performance, but the location has a significant moderating effect on the relationship between the network density and the innovation performance. Specifically, the influence of the network density on the enterprise's innovation performance will disappear if the enterprise is located outside the three economic circles. These conclusions will provide new scientific basis for the development of relevant industrial policies and conducting of the alliance activities

Key words: network embeddedness, geographic embeddedness, innovation performance, high-tech listed companies

中图分类号:

F270.7

赵炎, 郑向杰. 网络嵌入性与地域根植性对联盟企业创新绩效的影响—对中国高科技上市公司的实证分析[J]. 科研管理, 2013, 34(11): 9-17.

Zhao Yan, Zheng Xiangjie. Impact of network embeddedness and geographic embeddedness on the innovationperformance of the alliance enterprises—An empirical research on the high-tech listed companies in China[J]. Science Research Management, 2013, 34(11): 9-17.

参考文献

[1] Escribano, A., Fosfuri, A., Tribó, J. A. Managing External Knowledge Flows: The Moderating Role of Absorptive Capacity [J]. Research Policy, 2009, 38 (1): 96-105.
[2] Maura Soekijad, Erik Andriessen. Conditions for knowledge sharing in competitive alliance [J]. European Management Journal, 2003, 21 (5): 578-587.
[3] Uzzi, B., J. Spiro. Collaboration and creativity: The small world problem [J]. American Journal of Sociology, 2005, 111(2): 447-504.
[4] Schilling, M. A., Phelps, C. C. Interfirm collaboration networks: the impact of large scale network structure on firm innovation [J]. Management Science, 2007, 53(7):1113-1126.
[5] Guimera, R., Luis, A. N., Amaral, L. Cartography of complex networks: modules and universal roles [J]. Journal of Statistical Mechanics, Theory, and Experiments, 2005. P02001, 1-13.
[6] Zifeng Chen, Jiancheng Guan. The impact of small world on innovation: An empirical study of 16 countries [J]. Journal of Informetrics, 2010, 4(1): 97-106.
[7] Owen-Smith, J., W. W. Powell. Knowledge networks as channels and conduits: The effects of spillovers in the Boston biotechnology community [J]. Organization Science. 2004, 15(1): 5-21.
[8] Zaheer, A. & Bell, G. G. Benefiting from Network Position: Firm Capabilities, Structural holes, and Performance [J]. Strategic Management Journal, 2005, 26 (9): 809-825.
[9] Ahuja, G. Collaboration networks, structural holes, and innovation: A longitudinal study [J]. Administrative science quarterly. 2000, 45(3):425-455.
[10] Kjersten Bunker Whittington, Jason Owen-Smith, Walter W. Powell. Networks, Propinquity, and Innovation in Knowledge-intensive Industries [J]. Administrative Science Quarterly, 2009, 54(1): 90–122.
[11] 任胜钢, 胡春燕, 王龙伟. 我国区域创新网络结构特征对区域创新能力影响的实证研究[J]. 系统工程, 2011, 29(2): 50-55.
[12] Uzzi, B. The source and consequences of embeddedness for the economic performance of organizations: the network effect [J]. American Sociological Review, 1996, 61(4):674-698.
[13] Granovetter, M. The strength of weak ties [J]. American Journal of Sociology, 1973, 78 (6):1360-1380.
[14] Burt R. S. Structural Holes. Harvard University Press, Cambridge, MA. 1992.
[15] Devi R, Gnyawal, Ravindranath Madhavan.Cooperative networks and competitive dynamics: A structural embeddedness perspective [J]. Academy of Management Review, 2001, 26(3): 431-445.
[16] Hansen, M. T. Knowledge networks: Explaining effective knowledge sharing in multiunit companies [J]. Organization Science. 2002, 13(3):232-248.
[17] Valente T. W. Network models of the diffusion of innovations [J]. Computational & Mathematical Organization Theory, 1996, 2(2):163-164.
[18] Inkpen, A.C., Tsang E.W.K. Social Capital, Networks and Knowledge Transfer [J]. Academy of Management Review, 2005, 30 (1):146-165.
[19] Julia L. Lin et al. Network Embeddedness and Technology Transfer Performance in R&D Consortia in Taiwan [J]. Technovation, 2009, 29(11):763-774.
[20] Burt R. S. The network structure of social capital. Paper presented at the conference on social networks and social capital, Duke University, Durham, NC, 1998.
[21] Takahashi N. The emergence of generalized exchange [J]. American Journal of Sociology, 2000, 10 (4): 1105-1134.
[22] 王缉慈. 中国地方产业集群及其对发展中国家的意义 [J]. 地域研究与开发, 2004,23(4):1-4.
[23] 李婧, 谭清美, 白俊红. 中国区域创新生产的空间计量分析——基于静态与动态空间面板模型的实证研究 [J]. 管理世界, 2010, (7): 43-55.
[24] 陈菲琼, 任森. 创新资源集聚的主导因素研究: 以浙江为例 [J].科研管理, 2011,32(1): 89-96.
[25] Fleming, L. Recombinant uncertainty in technological search [J]. Management Science, 2001, 47(1): 117-132.
[26] Griliches, Z. Patent Statistics as Economic Indicators: A Survey [J]. Journal of Economic Literature, 1990, 28(12): 1661-1707.
[27] Yamaguchi, K. The flow of information through social networks: Diagonal-free measures of inefficiency and the structural determinants of inefficiency [J]. Social Networks, 1994, 16(1):57-86.