Abstract
In this article, we propose a firm-growing model, and then collect empirical data to test model validity. The simulation results agree well with the empirical data. We next explore the effect of communication patterns on the growth and structure of firm’s social network and find that the extents to which employees reluctantly interact within or across departments significantly influence the structure of firm’s social network.
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References
Nonaka, I.: A dynamic theory of organizational knowledge creation. Organization Science 5(1), 14–37 (1994)
Drucker, P.: Post-Capitalist Society. Butterworth Heinemann, London (1993)
Granovetter, M.: The strength of weak ties. American Journal of Sociology 78, 1360–1380 (1973)
Burt, R.S.: Structural holes: the social structure of competition. Harvard University Press, Cambridge (1992)
Burt, R.S., Ronchi, D.: Teaching executives to see social capital: results from a field experiment. Social Science Research 36, 1156–1183 (2007)
Ramasco, J.J., Morris, S.A.: Social inertia in collaboration networks. Physical Review E 73, 016122 (2006)
Ebel, H., Mielsch, L.I., Borbholdt, S.: Scale-free topology of e-mail networks. Phys. Rev. E. 66, 35103 (2002)
Bachnik, W., Szymczak, S., Leszczynski, P., Podsiadlo, R., Rymszewicz, E., Kurylo, L., Makowiec, D., Bykowska, B.: Acta Phys. Pol. 36, 3179 (2005)
Csányi, G., Szendröi, B.: Structure of a large social network. Physical Review E 69(3), 036131 (2004)
Guimera, R., Uzzi, B., Spiro, J., Amaral, L.A.N.: Team assembly mechanisms determine collaboration network structure and team performance. Science 308, 697–702 (2005)
O’Dell, C., Grayson, C.J.: If only we kew what we know: indentification and transfer of internal best practices. California Management Review 40(3), 154–174 (1998)
Zalesny, M.D., Farace, F.V.: Traditional versus open offices: A comparison of sociotechnical, social Relations, and symbolic Meaning Perspectives. Academy of Management Journal 30(2), 240–259 (1987)
Katz, R., Allen, T.J.: Investigating the not invented here (NIH) syndrome: a look at the performancetenure and communication patterns of 50 R&D project groups. R& D Management 12(1), 7–19 (1982)
Anklam, P.: Knowledge management the collaboration thread. Bulletin of the American society for information and technology 28(6), 8–11 (2002)
Cummings, J.N., Cross, R.: Structural properties of work groups and their consequences for performance. Social Networks 25, 197–210 (2003)
Hansen, M.: The search-transfer problem: The role of weak ties in sharing knowledge across organizational subunits. Admin. Sci. Quart. 44, 82–111 (1999)
Szulanski, G.: Exploring internal stickiness: impedements to the transfer of best practice within the firm. Strategic Management Journal 17, 27–43 (1996)
Krackhardt, D., Hanson, J.R.: Informal networks: the company behind the chart. Harvard besiness review, 104–111 (July-August 1993)
Levin, D.Z., Cross, R.: The Strength of Weak Ties You Can Trust: The Mediating Role of Trust in Effective Knowledge Transfer. Management Science 50(11), 1477–1490 (2004)
Cohen, R., Erez, K., ben-Avraham, D., Havlin, S.: Resilience of the internet to random breakdowns. Physical Review Letters 85, 4626–4628 (2000)
Newman, M.E.J., Park, J.: Why social networks are different from other types of networks. Phys. Rev. E. 68, 036122 (2003)
Newman, M.E.J.: Mixing patterns in networks. Phys. Rev. E 67, 026126 (2003)
Erdös, P., Rényi, A.: On random graphs. Publicationes Mathematicae 6, 290–297 (1959)
Newman, M.E.J.: Assortative mixing in networks. Phys. Rev. Let. 89, 208701 (2002)
Amaral, L.A.N., Scala, A., Barthlmy, M., et al.: Classes of small-world networks. Proc. Natl. Acad. Sci. USA 97, 11149–11152 (2000)
Newman, M.E.J.: Scientific collaboration networks. I. Network construction and fundamental results. Phys. Rev. E 64, 016131(2001)
Zhang, P.P., Chen, K., et al.: Model and empirical study on some collaboration networks. Physica A: Statistical Mechanics and its applications 360(2), 599–616 (2006)
Chang, H., Su, B.B., Zhou, Y.P., He, D.R.: Assortativity and act degree distribution of some collabortation networks 383(2), 687–702 (2007)
Freeman, L.: Centrality in social networks: Conceptual clarification. Social Networks 1(3), 215–234 (1979)
Albert, R., Jeong, H., Barabási, A.-L.: Attack and error tolerance in complex nerworks. Nature 406, 387–482 (2001)
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© 2009 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
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Chen, L., Li, H., Chen, Z., Li, L., He, DR. (2009). A Firm-Growing Model and the Study of Communication Patterns’ Effect on the Structure of Firm’s Social Network. In: Zhou, J. (eds) Complex Sciences. Complex 2009. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 5. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02469-6_18
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DOI: https://doi.org/10.1007/978-3-642-02469-6_18
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