Abstract
From the perspective of reindustrialization, it is important to understand the evolution of the structure of the network of organizations employment structure, and organization value. Understanding the potential influence of collaborative networks (CNs) on these aspects may lead to the development of appropriate economic policies. In this paper, we propose a theoretical approach to analysis this potential influence, based on a model of dynamic networked ecosystem of organizations encompassing collaboration relations among organization, employment mobility, and organization value. A large number of simulations has been performed to identify factors influencing the structure of the network of organizations employment structure, and organization value. The main findings are that 1) the higher the number of members of CNs, the better the clustering and the shorter the average path length among organizations; 2) the constitution of CNs does not affect neither the structure of the network of organizations, nor the employment structure and the organization value.
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Collins English Dictionary: Deindustrialization. HarperCollins Publishers
Rowthorn, R., Wells, J.: De-industrialization and Foreign Trade. Cambridge University Press, Cambridge (1987)
Tregenna, F.: Manufacturing Productivity, Deindustrialization, and Reindustrialization. WIDER Working Paper no 2011/57, United Nations University, World Institute for Development Economics Research (2011)
Cohen, M.S., Beranek, L.L.: Reindustrialization: From Shoes to Ships to Sealing Wax. The Journal of Social, Political, and Economic Studies 35(1), 3–10 (2010)
International Monetary Fund: World Economic Outlook Database, October 2012 Edition (2012), http://www.imf.org/external/pubs/ft/weo/2012/02/weodata/index.aspx (retrieved April 17, 2013)
Pastore, F.: Primum vivere…industrial change, job destruction and the geographical distribution of unemployment. IZA Journal of European Labor Studies 1, 7 (2012)
Morissette, R., Lu, Y., Qiu, T.: Worker Reallocation in Canada. Analytical Studies Branch Research Paper Series. Statistics Canada, Ministry of Industry (2013)
Liu, Y.: Job and Worker Reallocation in China. Asia Pacific Institute of Research (APIR) Discussion Paper Series No.1 (2013), http://www.apir.or.jp/en/discussion/_pdf/28_Pdf.pdf (retrieved April 17, 2013)
Martin, J.P., Scarpetta, S.: Setting It Right: Employment Protection, Labour Reallocation and Productivity. De Economist 160(2), 89–116 (2012)
Bartolucci, C., Devicienti, F.: Better Workers Move to Better Firms: A Simple Test to Identify Sorting. Carlo Alberto Notebooks 259, 1–45 (2012) ISSN 2279-9362
Gianelle, C.: Discovering the Regional Small World of Labour Mobility. Evidence from Linked Employer–Employee Data. Regional Studies, doi:10.1080/00343404.2012.697993
Albert, R., Jeong, H., Barabási, A.-L.: The Diameter of the World Wide Web. Nature 401(6749), 130–131 (1999), doi:10.1038/43601
Montoya, J.M., Solé, R.V.: Small World Patterns in Food Webs. Journal of Theoretical Biology 214(3), 405–412 (2002), doi:10.1006/jtbi.2001.2460
Eguíluz, V.M., Chialvo, D.R., Cecchi, G.A., Baliki, M., Apkarian, A.V.: Scale-Free Brain Functional Networks. Physical Review Letters 94(1), 018102 (2005)
Watts, D.J., Strogatz, S.H.: Collective dynamics of “small-world networks”. Nature 393, 440–442 (1998), doi:10.1038/30918
Barabási, A.-L., Albert, R.: Emergence of Scaling in Random Networks. Science 286(5439), 509–512 (1999), doi:10.1126/science.286.5439.509
Callaway, D.S., Newman, M.E.J., Strogatz, S.H., Watts, D.J.: Network Robustness and Fragility: Percolation on Random Graphs. Physical Review Letters 85(25), 5468–5471 (2000), doi:10.1103/PhysRevLett.85.5468
Doerr, B., Fouz, M., Friedrich, T.: Social Networks Spread Rumors in Sublogarithmic Time. In: Proceedings of the 43rd Annual ACM Symposium on Theory of Computing, STOC 2011, pp. 21–30. ACM, New York (2011) ISBN: 978-1-4503-0691-1
Satorras, R.P., Vespignani, A.: Epidemic Spreading in Scale-Free Networks. Physical Review Letters 86(14), 3200–3203 (2001), doi:10.1103/PhysRevLett.86.3200
Scott, J.P.: Social Network Analysis: A Handbook, 2nd edn. SAGE Publications, London (2000) ISBN: 0-7619-6339-1
Holzer, H.J.: Hiring Procedures in the Firm: Their Economic Determinants and Outcomes. Working Paper 2185. National Bureau of Economic Research (1987)
Bewley, T.F.: Why Wages Don’t Fall during a Recession. Harvard University Press, Cambridge (1999)
R Core Team: R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria (2012), http://www.R-project.org/
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Picard, W. (2013). Simulating the Influence of Collaborative Networks on the Structure of Networks of Organizations, Employment Structure, and Organization Value. In: Camarinha-Matos, L.M., Scherer, R.J. (eds) Collaborative Systems for Reindustrialization. PRO-VE 2013. IFIP Advances in Information and Communication Technology, vol 408. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40543-3_47
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DOI: https://doi.org/10.1007/978-3-642-40543-3_47
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