Abstract
Enterprise alliance network is considered to have scale-free property. This paper aims to study the correlation between scale-free property and enterprise innovation performance. Networks of alliances in automobile industry are constructed, and then researchers utilize Maximum Likelihood Estimation and KS-test to calculate the p value of the network’s scale-free property. Negative binomial regression model is used to analyze the relevance between enterprise innovative performance and the scale-free property of alliance network, with patents number that firms have applied as the indicator of firms’ innovative performance. Experiment result shows that scale-free attribute of enterprise alliance network has quite a significant positive effect upon enterprise innovative performance.
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References
Albert, R., Barabási, A.L.: Statistical mechanics of complex networks. Rev. Mod. Phys. 74, 47 (2002)
Newman, M.E.J.: The structure and function of complex networks. SIAM Rev. 45, 167–256 (2003)
Barabási, A.L., Albert, R.: Emergence of scaling in random networks. Science 286, 509 (1999)
Barabási, A.L., Crandall, R.: Linked: the new science of networks. Am. J. Phys. 71, 409 (2003)
Newman, M.E.J., et al.: Email networks and the spread of computer viruses. Phys. Rev. E 66, 035101 (2002)
Klemm, K., Eguiluz, V.M.: Highly clustered scale-free networks. Phys. Rev. E 65, 036123 (2002)
Clauset, A., et al.: Power-law distributions in empirical data. SIAM Rev. 51(4), 661–703 (2009)
Liu, C.H.: The effects of innovation alliance on network structure and density of cluster. Expert Syst. Appl. 38(1), 299–305 (2011)
Du, R., et al.: Relationship between knowledge sharing and performance: a survey in Xi’an China. Expert Syst. Appl. 32, 38–46 (2007)
Jiang, X., Li, Y.: An empirical investigation of knowledge management and innovative performance: the case of alliances. Res. Policy 38, 358–368 (2009)
Verspagen, B., Werker, C.: Keith Pavitt and the invisible college of the economics of technology and innovation. Res. Policy 33, 1419–1431 (2004)
Gay, B., Dousset, B.: Innovation and network structural dynamics: study of the alliance network of a major sector of the biotechnology industry. Res. Policy 34, 1457–1475 (2005)
Hausman, J.A., et al.: Econometric models for count data with an application to the patents-R&D relationship. National Bureau of Economic Research, Cambridge (1984)
Schilling, M.A., Phelps, C.C.: Interfirm collaboration networks: the impact of large-scale network structure on firm innovation. Manag. Sci. 53, 1113–1126 (2007)
Lin, C., et al.: The alliance innovation performance of R&D alliances—the absorptive capacity perspective. Technovation 32, 282–292 (2012)
Acknowledgments
This work is supported by three projects of National Science Foundation of China (NSFC No. 71003069; 40976108) and Shanghai Leading Academic Discipline Project (J50103).
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Lu, X., Zhou, W., Zhao, Y., Zhu, Y., Fei, S. (2013). Inter-Firm Innovation Networks: The Impact of Scale-Free Property on Firm Innovation. In: Wong, W.E., Ma, T. (eds) Emerging Technologies for Information Systems, Computing, and Management. Lecture Notes in Electrical Engineering, vol 236. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7010-6_115
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DOI: https://doi.org/10.1007/978-1-4614-7010-6_115
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