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Persistence in corporate networks

  • Matthias Raddant
  • Mishael Milaković
  • Laura Birg
Regular Article

Abstract

We examine the bipartite graphs of German corporate boards in 1993, 1999 and 2005, focusing on their projections onto directors (the “personal” network) and onto companies (the “institutional” network). The novel feature here is our focus on the temporal evolution of the two projections. The personal networks exhibit cores of highly central directors who are densely connected among themselves, while the institutional networks show a persistent core of large corporations whose identity remains mostly the same. This results in the persistent presence of a core network of very large corporations, despite substantial turnover in the identity of directors and significant changes in Germany’s corporate governance during the investigated period. Our findings strongly suggest that core persistence originates from the board appointment decisions of the very largest corporations and is largely independent of personal destinies.

Keywords

Board networks Corporate governance Board recruitment 

References

  1. Alfarano S, Milaković M (2009) Network structure and \(N\)-dependence in agent-based herding models. J Econ Dyn Control 33:78–92CrossRefGoogle Scholar
  2. Alfarano S, Milaković M, Raddant M (2013) A note on institutional hierarchy and volatility in financial markets. Eur J Finance 19(6):449–465CrossRefGoogle Scholar
  3. Barabási A-L, Albert R (1999) Emergence of scaling in random networks. Science 286:509–512CrossRefGoogle Scholar
  4. Battiston S, Bonabeau E, Weisbuch G (2003) Decision making dynamics in corporate boards. Phys A 322:567–582CrossRefGoogle Scholar
  5. Battiston S, Catanzaro M (2004) Statistical properties of corporate board and director networks. Eur Phys J B 38:345–352CrossRefGoogle Scholar
  6. Bellenzier L, Grassi R (2014) Interlocking directorates in Italy: persistent links in network dynamics. J Econ Interact Coord 9:183–202CrossRefGoogle Scholar
  7. Beyer J, Höpner M (2003) The disintegration of organized capitalism: German corporate governance in the 90s. West Eur Polit 26:179–198CrossRefGoogle Scholar
  8. Bonacich P (1972) Factoring and weighting approaches to status scores and clique identification. J Math Sociol 2:113–120CrossRefGoogle Scholar
  9. Bonacich P (1987) Power and centrality: a family of measures. Am J Sociol 92(5):1170–1182CrossRefGoogle Scholar
  10. Borgatti SP (2005) Centrality and network flow. Soc Netw 27:55–71CrossRefGoogle Scholar
  11. Borgatti SP (2006) Identifying sets of key players in a social network. Comput Math Organ Theory 12:21–34CrossRefGoogle Scholar
  12. Borgatti SP, Everett MG (1999) Models of core/periphery structures. Soc Netw 21:375–395CrossRefGoogle Scholar
  13. Borgatti SP, Foster PC (2003) The network paradigm in organizational research: a review and typology. J Manag 29(6):991–1013Google Scholar
  14. Brass DJ, Galaskiewicz J, Greve HR, Tsai W (2004) Taking stock of networks and organizations: a multilevel perspective. Acad Manag J 47(6):795–817CrossRefGoogle Scholar
  15. Caldarelli G, Catanzaro M (2004) The corporate boards networks. Phys A 338:98–106CrossRefGoogle Scholar
  16. Conyon MJ, Muldoon MR (2006) The small world of corporate boards. J Bus Finance Account 33(9):1321–1343CrossRefGoogle Scholar
  17. Davis GF, Greve HR (1999) The money center cannot hold: commercial banks in the U.S. system of corporate governance. Adm Sci Q 44:215–239CrossRefGoogle Scholar
  18. Davis GF, Yoo M, Baker WE (2003) The small world of the American corporate elite, 1982–2001. Strateg Organ 1(3):301–326CrossRefGoogle Scholar
  19. Galaskiewicz J (2007) Has a network theory of organizational behaviour lived up to its promises? Manag Organ Rev 3(1):1–18CrossRefGoogle Scholar
  20. Haunschild P, Beckmann C (1998) When do interlocks matter? Alternate sources of information and interlock influence. Adm Sci Q 43(4):815–844CrossRefGoogle Scholar
  21. Heemskerk E (2007) Decline of the corporate community. Amsterdam University Press, AmsterdamGoogle Scholar
  22. Holme P (2005) Core-periphery organization of complex networks. Phys Rev E 72:046111CrossRefGoogle Scholar
  23. Jobson DJ (1991) Applied multivariate data analysis. Springer, New YorkCrossRefGoogle Scholar
  24. Kogut B, Walker G (2001) The small world of Germany and the durability of national networks. Am Sociol Rev 66(3):317–335CrossRefGoogle Scholar
  25. Mariolis P, Jones M (1982) Centrality in corporate interlock networks: reliability and stability. Adm Sci Q 27(4):571–585CrossRefGoogle Scholar
  26. Milaković M, Alfarano S, Lux T (2010) The small core of the German corporate board network. Comput Math Organ Theory 16(2):201–215CrossRefGoogle Scholar
  27. Mintz B, Schwartz M (1981) Interlocking directorates and interest group formation. Am Sociol Rev 46(6):851–869CrossRefGoogle Scholar
  28. Mizruchi S (1996) What do interlocks do? An analysis, critique, and assessment of research on interlocking directorates. Annu Rev Sociol 22:271–298CrossRefGoogle Scholar
  29. Newman MEJ (2003) The structure and function of complex networks. SIAM Rev 45:167–256CrossRefGoogle Scholar
  30. Newman MEJ (2010) Networks, an introduction. Oxford U.P, New YorkCrossRefGoogle Scholar
  31. Newman MEJ, Girvan M (2004) Finding and evaluating community structure in networks. Phys Rev E 4:026113CrossRefGoogle Scholar
  32. Newman MEJ, Strogatz SH, Watts DJ (2001) Random graphs with arbitrary degree distributions and their applications. Phys Rev E 64:026118CrossRefGoogle Scholar
  33. Palmer D (1983) Broken ties: interlocking directorates and intercorporate coordination. Admin Sci Q 28:40–55CrossRefGoogle Scholar
  34. Provan KG, Fish A, Sydow J (2007) Interorganizational networks at the network level: a review of the empirical literature on whole networks. J Manag 33(3):479–516Google Scholar
  35. Reichardt J (2009) Structure in complex networks, lecture notes in physics. 766. Springer, BerlinGoogle Scholar
  36. Robins G, Alexander M (2004) Small worlds among interlocking directors: network structure and distance in bipartite graphs. Comput Math Organ Theory 10:69–94CrossRefGoogle Scholar
  37. Schnettler S (2009) A structured overview of 50 years of small-world research. Soc Netw 31:165–178CrossRefGoogle Scholar
  38. Schreyögg G, Papenheim-Tockhorn H (1995) Dient der Aufsichtsrat dem Aufbau zwischenbetrieblicher Koopertationsbeziehungen? Zeitschrift für Betriebswirtschaft 65:205–230Google Scholar
  39. Seidman SB (1983) Network structure and minimum degree. Soc Netw 5:269–287CrossRefGoogle Scholar
  40. Soramäki K, Bech M, Arnold J, Glass R, Beyeler W (2007) The topology of interbank payment flows. Phys A 379:317–333CrossRefGoogle Scholar
  41. Stearns LB, Mizruchi MS (1986) Broken-tie reconstitution and the functions of interorganizational interlocks: a reexamination. Admin Sci Q 31:522–538CrossRefGoogle Scholar
  42. Uzzi B, Amaral LAN, Reed-Tsochas F (2007) Small-world networks and management science research: a review. Eur Manag Rev 4:77–91CrossRefGoogle Scholar
  43. von Luxburg U (2007) A tutorial on spectral clustering. Stat Comput 17:395–416CrossRefGoogle Scholar
  44. Watts DJ, Strogatz SH (1998) Collective dynamics of ‘small-world’ networks. Nature 393:440–442CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  • Matthias Raddant
    • 1
    • 2
  • Mishael Milaković
    • 3
  • Laura Birg
    • 4
  1. 1.Institute for the World EconomyKielGermany
  2. 2.Department of EconomicsKiel UniversityKielGermany
  3. 3.Department of EconomicsUniversity of BambergBambergGermany
  4. 4.Center for European, Governance and Economic Development ResearchGeorg-August-Universität GöttingenGöttingenGermany

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