IDEAS home Printed from https://ideas.repec.org/p/ems/eureri/10732.html
   My bibliography  Save this paper

Discovering the Dynamics of Smart Business Networks

Author

Listed:
  • Pau, L-F.

Abstract

In an earlier paper ,was discussed the necessary evolution from smart business networks, as based on process need satisfaction and governance, into business genetics [1] based on strategic bonds or decay and opportunistic complementarities. This paper will describe an approach and diffusion algorithms whereby to discover the dynamics of emergent smart business network structures and their performance in view of collaboration patterns over time. Some real life early analyses of dynamics are discussed based on cases and date from the high tech sector. Lessons learnt from such cases are also given on overall smart network dynamics with respect to local interaction strategies, as modelled like in business genetics by individual partner profiles, goals and constraints. It shows the weakness of static "business operating systems", as well as the possibly destabilizing clustering effects amongst nodes linked to filtering, evaluation and own preferences.

Suggested Citation

  • Pau, L-F., 2007. "Discovering the Dynamics of Smart Business Networks," ERIM Report Series Research in Management ERS-2007-081-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    • Handle: RePEc:ems:eureri:10732
    as

    Download full text from publisher

    File URL: https://repub.eur.nl/pub/10732/ERS-2007-081-LIS.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Dan Braha & Yaneer Bar-Yam, 2005. "Information Flow Structure in Large-Scale Product Development Organizational Networks," Springer Books, in: Peter Vervest & Eric Heck & Louis-François Pau & Kenneth Preiss (ed.), Smart Business Networks, chapter 8, pages 105-125, Springer.
    2. Peter Vervest & Eric Heck & Louis-François Pau & Kenneth Preiss (ed.), 2005. "Smart Business Networks," Springer Books, Springer, number 978-3-540-26694-5, June.
    3. Dietmar Maringer & Tikesh Ramtohul, 2012. "Regime-switching recurrent reinforcement learning for investment decision making," Computational Management Science, Springer, vol. 9(1), pages 89-107, February.
    4. Nier, Erlend & Yang, Jing & Yorulmazer, Tanju & Alentorn, Amadeo, 2007. "Network models and financial stability," Journal of Economic Dynamics and Control, Elsevier, vol. 31(6), pages 2033-2060, June.
    5. Giorgio Gnecco & Marcello Sanguineti, 2009. "The weight-decay technique in learning from data: an optimization point of view," Computational Management Science, Springer, vol. 6(1), pages 53-79, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Green, Christopher & Bai, Ye & Murinde, Victor & Ngoka, Kethi & Maana, Isaya & Tiriongo, Samuel, 2016. "Overnight interbank markets and the determination of the interbank rate: A selective survey," International Review of Financial Analysis, Elsevier, vol. 44(C), pages 149-161.
    2. Champagne, Claudia, 2014. "The international syndicated loan market network: An “unholy trinity”?," Global Finance Journal, Elsevier, vol. 25(2), pages 148-168.
    3. Raffestin, Louis, 2014. "Diversification and systemic risk," Journal of Banking & Finance, Elsevier, vol. 46(C), pages 85-106.
    4. Nicolas Houy & Frédéric Jouneau & François Le Grand, 2020. "Defaulting firms and systemic risks in financial networks: a normative approach," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 70(2), pages 503-526, September.
    5. Fariba Karimi & Matthias Raddant, 2016. "Cascades in Real Interbank Markets," Computational Economics, Springer;Society for Computational Economics, vol. 47(1), pages 49-66, January.
    6. Antonio Cabrales & Piero Gottardi & Fernando Vega-Redondo, 2017. "Risk Sharing and Contagion in Networks," The Review of Financial Studies, Society for Financial Studies, vol. 30(9), pages 3086-3127.
    7. Jan Willem van den End, 2010. "Liquidity Stress-Tester: A Model for Stress-testing Banks' Liquidity Risk," CESifo Economic Studies, CESifo, vol. 56(1), pages 38-69, March.
    8. Kuzubaş, Tolga Umut & Saltoğlu, Burak & Sever, Can, 2016. "Systemic risk and heterogeneous leverage in banking networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 358-375.
    9. Tinic, Murat & Sensoy, Ahmet & Demir, Muge & Nguyen, Duc Khuong, 2020. "Broker Network Connectivity and the Cross-Section of Expected Stock Returns," MPRA Paper 104719, University Library of Munich, Germany.
    10. Bennani, T. & Després, M. & Dujardin, M. & Duprey, T. & Kelber, A., 2014. "Macroprudential framework:key questions applied to the French case," Occasional papers 9, Banque de France.
    11. Kobayashi, Teruyoshi & Takaguchi, Taro, 2018. "Identifying relationship lending in the interbank market: A network approach," Journal of Banking & Finance, Elsevier, vol. 97(C), pages 20-36.
    12. Erlend Nier, 2009. "Financial Stability Frameworks and the Role of Central Banks: Lessons From the Crisis," IMF Working Papers 2009/070, International Monetary Fund.
    13. Gabrielle Demange, 2018. "Contagion in Financial Networks: A Threat Index," Management Science, INFORMS, vol. 64(2), pages 955-970, February.
    14. Lara Mónica Machado Fernandes & Maria Rosa Borges, 2013. "Interbank Linkages and Contagion Risk in the Portuguese Banking System," Working Papers Department of Economics 2013/23, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    15. Olivier Accominotti & Delio Lucena‐Piquero & Stefano Ugolini, 2021. "The origination and distribution of money market instruments: sterling bills of exchange during the first globalization," Economic History Review, Economic History Society, vol. 74(4), pages 892-921, November.
    16. Annika Westphal, 2015. "Systemic Risk in the European Union: A Network Approach to Banks’ Sovereign Debt Exposures," IJFS, MDPI, vol. 3(3), pages 1-36, July.
    17. Robert Stewart & Murshed Chowdhury & Vaalmikki Arjoon, 2021. "Bank stability and economic growth: trade-offs or opportunities?," Empirical Economics, Springer, vol. 61(2), pages 827-853, August.
    18. Li, Fei & Kang, Hao & Xu, Jingfeng, 2022. "Financial stability and network complexity: A random matrix approach," International Review of Economics & Finance, Elsevier, vol. 80(C), pages 177-185.
    19. Zhang, Minghui & He, Jianmin & Li, Shouwei, 2018. "Interbank lending, network structure and default risk contagion," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 493(C), pages 203-209.
    20. Langfield, Sam & Liu, Zijun & Ota, Tomohiro, 2014. "Mapping the UK interbank system," Journal of Banking & Finance, Elsevier, vol. 45(C), pages 288-303.

    More about this item

    Keywords

    SBN; business genetics; dynamics; network performance; smart business networks;
    All these keywords.

    JEL classification:

    • L15 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Information and Product Quality
    • L22 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Organization and Market Structure
    • M - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ems:eureri:10732. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: RePub (email available below). General contact details of provider: https://edirc.repec.org/data/erimanl.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.