IDEAS home Printed from https://ideas.repec.org/a/spr/comgts/v11y2014i4p445-458.html
   My bibliography  Save this article

Discovering the dynamics of smart business networks

Author

Listed:
  • L.-F. Pau

Abstract

This paper describes a simple diffusion process whereby to discover the dynamics of emergent smart business network structures and their performance in view of business collaboration patterns over time. They include the destabilizing effects of business relationship tie-up’s or break-downs, and are discussed various partner evaluation, filtering and self-preference strategies. Three real life cases of business network dynamics are discussed based on data from the high tech sector. Lessons learnt from such cases are reported regarding overall smart network dynamic parameters with respect to local interaction strategies. Copyright Springer-Verlag Berlin Heidelberg 2014

Suggested Citation

  • L.-F. Pau, 2014. "Discovering the dynamics of smart business networks," Computational Management Science, Springer, vol. 11(4), pages 445-458, October.
  • Handle: RePEc:spr:comgts:v:11:y:2014:i:4:p:445-458
    DOI: 10.1007/s10287-013-0162-x
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s10287-013-0162-x
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s10287-013-0162-x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    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, February.
    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. Raffestin, Louis, 2014. "Diversification and systemic risk," Journal of Banking & Finance, Elsevier, vol. 46(C), pages 85-106.
    3. Fariba Karimi & Matthias Raddant, 2016. "Cascades in Real Interbank Markets," Computational Economics, Springer;Society for Computational Economics, vol. 47(1), pages 49-66, January.
    4. 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.
    5. 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.
    6. Erlend Nier, 2009. "Financial Stability Frameworks and the Role of Central Banks: Lessons From the Crisis," IMF Working Papers 2009/070, International Monetary Fund.
    7. Gabrielle Demange, 2018. "Contagion in Financial Networks: A Threat Index," Management Science, INFORMS, vol. 64(2), pages 955-970, February.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. Langfield, Sam & Liu, Zijun & Ota, Tomohiro, 2014. "Mapping the UK interbank system," Journal of Banking & Finance, Elsevier, vol. 45(C), pages 288-303.
    13. Fathin Faizah Said, 2017. "Global Banking on the Financial Network Modelling: Sectorial Analysis," Computational Economics, Springer;Society for Computational Economics, vol. 49(2), pages 227-253, February.
    14. in 't Veld, Daan & van der Leij, Marco & Hommes, Cars, 2020. "The formation of a core-periphery structure in heterogeneous financial networks," Journal of Economic Dynamics and Control, Elsevier, vol. 119(C).
    15. Anand, Kartik & Gai, Prasanna & Marsili, Matteo, 2012. "Rollover risk, network structure and systemic financial crises," Journal of Economic Dynamics and Control, Elsevier, vol. 36(8), pages 1088-1100.
    16. Mr. Itai Agur & Mr. Sunil Sharma, 2013. "Rules, Discretion, and Macro-Prudential Policy," IMF Working Papers 2013/065, International Monetary Fund.
    17. 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.
    18. Yamamoto, Shugo, 2020. "Banking Network Multiplier effects on cross-border bank inflows," International Review of Economics & Finance, Elsevier, vol. 70(C), pages 493-507.
    19. Memmel, Christoph & Sachs, Angelika, 2013. "Contagion in the interbank market and its determinants," Journal of Financial Stability, Elsevier, vol. 9(1), pages 46-54.
    20. Qian, Qian & Chao, Xiangrui & Feng, Hairong, 2023. "Internal or external control? How to respond to credit risk contagion in complex enterprises network," International Review of Financial Analysis, Elsevier, vol. 87(C).

    More about this item

    Keywords

    Business network dynamics; Smart business networks; Diffusion processes; Dynamic characterization; Outsourcing;
    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

    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:spr:comgts:v:11:y:2014:i:4:p:445-458. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.