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Discovering the dynamics of smart business networks

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  • 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
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    References listed on IDEAS

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    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.
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    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

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