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How Triangle Structure in Inter-firm Human Network Affects Bankruptcy Evolution: An Agent-Based Simulation Study with Real and Artificial Data

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Advances in Human Factors in Simulation and Modeling (AHFE 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 591))

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Abstract

This paper investigates the influence of human factors on the evolution of inter-firm trade network emerging from bankruptcy. In particular, we concentrate on a local interaction mechanism, conceptualized as triangle structure, within the inter-firm human network. An agent-based model is employed to explore the effects of triangle structure-related properties in both real inter-firm human network constructed from empirical data of thousands Japanese firms, and artificially generated ones. The simulation results confirm the influential role of triangle structure-related human factors in bankruptcy: it not only enhances the benefits that firms can obtain from their inter-firm relationships, but also provides firms with few business partners the equal chance to survive in the bankrupt emergency.

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Notes

  1. 1.

    Code of RandNetGen can be found in: https://github.com/polcolomer/RandNetGen.

  2. 2.

    The website of NetworkX library: https://networkx.github.io/.

References

  1. Ohnishi, T., Takayasu, H., Takayasu, M.: Network motifs in an inter-firm network. J. Econ. Interact. Coord. 5(2), 171–180 (2010)

    Article  MATH  Google Scholar 

  2. Aggarwal, C., Subbian, K.: Evolutionary network analysis: a survey. ACM Comput. Surv. (CSUR) 47(1), 10 (2014)

    Article  MATH  Google Scholar 

  3. Fujiwara, Y.: Chain of firms’ bankruptcy: a macroscopic study of link effect in a production network. Adv. Complex Syst. 11(05), 703–717 (2008)

    Article  Google Scholar 

  4. Hong, B.H., Lee, K.E., Lee, J.W.: Power law in firms bankruptcy. Phys. Lett. A 361(1), 6–8 (2007)

    Article  MATH  Google Scholar 

  5. Battiston, S., Gatti, D.D., Gallegati, M., Greenwald, B., Stiglitz, J.E.: Credit chains and bankruptcy propagation in production networks. J. Econ. Dyn. Control 31(6), 2061–2084 (2007)

    Article  MATH  Google Scholar 

  6. Robins, G., Alexander, M.: Small worlds among interlocking directors: network structure and distance in bipartite graphs. Comput. Math. Organ. Theory 10(1), 69–94 (2004)

    Article  MATH  Google Scholar 

  7. Wang, S., Songhori, M.J., Chang, S., Terano, T.: The impact of human relationship on bankruptcy-related evolution of inter-firm trade network. In: Winter Simulation Conference (WSC), pp. 3405–3416. IEEE Press (2016)

    Google Scholar 

  8. Coleman, J.S.: Social capital in the creation of human capital. Am. J. Sociol. 94, S95–S120 (1988)

    Article  Google Scholar 

  9. Schilling, M.A., Phelps, C.C.: Interfirm collaboration networks: the impact of large-scale network structure on firm innovation. Manag. Sci. 53(7), 1113–1126 (2007)

    Article  MATH  Google Scholar 

  10. Phelps, C.C.: A longitudinal study of the influence of alliance network structure and composition on firm exploratory innovation. Acad. Manag. J. 53(4), 890–913 (2010)

    Article  Google Scholar 

  11. Simmel, G., Wolff, K.H.: The Sociology of Georg Simmel. Simon and Schuster, New York City (1950)

    Google Scholar 

  12. Milo, R., Shen-Orr, S., Itzkovitz, S., Kashtan, N., Chklovskii, D., Alon, U.: Network motifs: simple building blocks of complex networks. Science 298(5594), 824–827 (2002)

    Article  Google Scholar 

  13. Kossinets, G., Watts, D.J.: Empirical analysis of an evolving social network. Science 311(5757), 88–90 (2006)

    Article  MathSciNet  MATH  Google Scholar 

  14. Newman, M.E., Park, J.: Why social networks are different from other types of networks. Phys. Rev. E 68(3), 036122 (2003)

    Article  Google Scholar 

  15. Choi, T.Y., Wu, Z.: Triads in supply networks: theorizing buyer-supplier-supplier relationships. J. Supply Chain Manag. 45(1), 8–25 (2009)

    Article  Google Scholar 

  16. Kreiser, P.M.: Entrepreneurial orientation and organizational learning: the impact of network range and network closure. Entrepreneurship Theory Pract. 35(5), 1025–1050 (2011)

    Article  Google Scholar 

  17. Howard, M., Cox Pahnke, E., Boeker, W.: Understanding network formation in strategy research: exponential random graph models. Strateg. Manag. J. 37(1), 22–44 (2016)

    Article  Google Scholar 

  18. Greve, H.R.: Performance, aspirations, and risky organizational change. Adm. Sci. Q. 43(1), 58–86 (1998)

    Article  Google Scholar 

  19. Huber, G.P.: Organizational learning: the contributing processes and the literatures. Organ. Sci. 2(1), 88–115 (1991)

    Article  Google Scholar 

  20. Cyert, R.M., March, J.G.: A Behavioral Theory of the Firm, 2nd edn. Prentice Hall, Englewood Cliffs (1963)

    Google Scholar 

  21. Cybinski, P.: Description, explanation, prediction–the evolution of bankruptcy studies? Manag. Fin. 27(4), 29–44 (2001)

    Google Scholar 

  22. Basole, R.C., Bellamy, M.A.: Supply network structure, visibility, and risk diffusion: a computational approach. Decis. Sci. 45(4), 753–789 (2014)

    Article  Google Scholar 

  23. Mahoney, J.T., Pandian, J.R.: The resource-based view within the conversation of strategic management. Strateg. Manag. J. 13(5), 363–380 (1992)

    Article  Google Scholar 

  24. Pfeffer, J., Salancik, G.R.: The External Control of Organizations: A Resource Dependence Perspective. Stanford University Press, Palo Alto (2003)

    Google Scholar 

  25. Hite, J.M., Hesterly, W.S.: The evolution of firm networks: from emergence to early growth of the firm. Strateg. Manag. J. 22(3), 275–286 (2001)

    Article  Google Scholar 

  26. Bhidé, A.V.: The origin and evolution of new businesses. Oxford University Press, Oxford (2003)

    Google Scholar 

  27. Rosenkopf, L., Almeida, P.: Overcoming local search through alliances and mobility. Manag. Sci. 49(6), 751–766 (2003)

    Article  Google Scholar 

  28. Kauffman, S.A., Weinberger, E.D.: The NK model of rugged fitness landscapes and its application to maturation of the immune response. J. Theor. Biol. 141(2), 211–245 (1989)

    Article  Google Scholar 

  29. Newman, M.E.J.: The structure and function of complex networks. SIAM Rev. 45(2), 167–256 (2003)

    Article  MathSciNet  MATH  Google Scholar 

  30. Schank, T., Wagner, D.: Approximating clustering-coefficient and transitivity. Universität Karlsruhe, Fakultät für Informatik (2004)

    Google Scholar 

  31. Orsini, C., Dankulov, M.M., Colomer-de-Simón, P., Jamakovic, A., Mahadevan, P., Vahdat, A., Bassler, K.E., Toroczkai, Z., Boguñá, M., Caldarelli, G., Fortunato, S., Krioukov, D.: Quantifying randomness in real networks. Nat. Commun. 6(5), 8627 (2015)

    Article  Google Scholar 

  32. Colomer-de-Simón, P., Boguñá, M.: Double percolation phase transition in clustered complex networks. Phys. Rev. X 4(4), 041020 (2014)

    Google Scholar 

  33. Albert, R., Barabási, A.-L.: Statistical mechanics of complex networks. Rev. Mod. Phys. 74, 47–97 (2002)

    Article  MathSciNet  MATH  Google Scholar 

  34. Goto, H., Takayasu, H., Takayasu, M.: Empirical analysis of firm-dynamics on japanese interfirm trade network. In: Takayasu, H., Ito, N., Noda, I., Takayasu, M. (eds.) International Conference on Social Modeling and Simulation, Plus Econophysics Colloquium 2014, pp. 195–204. Springer International Publishing, Cham (2015)

    Chapter  Google Scholar 

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Acknowledgments

The research is partially supported by the Center for TDB Advanced Data Analysis and Modeling in Tokyo Institute of Technology and JSPS KAKENHI (Grant Number 25240048).

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Authors and Affiliations

  1. Department of Computer Science, School of Computing, Tokyo Institute of Technology, Yokohama, Japan

    Shihan Wang, Mohsen Jafari Songhori, Shuang Chang & Takao Terano

Authors
  1. Shihan Wang
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  2. Mohsen Jafari Songhori
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  3. Shuang Chang
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  4. Takao Terano
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Corresponding author

Correspondence to Shihan Wang .

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Editors and Affiliations

  1. RDRL-HRF-D, United States Army, Aberdeen Proving Ground, Maryland, USA

    Daniel N. Cassenti

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Wang, S., Songhori, M.J., Chang, S., Terano, T. (2018). How Triangle Structure in Inter-firm Human Network Affects Bankruptcy Evolution: An Agent-Based Simulation Study with Real and Artificial Data. In: Cassenti, D. (eds) Advances in Human Factors in Simulation and Modeling. AHFE 2017. Advances in Intelligent Systems and Computing, vol 591. Springer, Cham. https://doi.org/10.1007/978-3-319-60591-3_26

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  • DOI: https://doi.org/10.1007/978-3-319-60591-3_26

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