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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, December.
    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)

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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:

    • D02 - Microeconomics - - General - - - Institutions: Design, Formation, Operations, and Impact
    • D4 - Microeconomics - - Market Structure, Pricing, and Design
    • J54 - Labor and Demographic Economics - - Labor-Management Relations, Trade Unions, and Collective Bargaining - - - Producer Cooperatives; Labor Managed Firms
    • L24 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Contracting Out; Joint Ventures
    • L14 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Transactional Relationships; Contracts and Reputation
    • D23 - Microeconomics - - Production and Organizations - - - Organizational Behavior; Transaction Costs; Property Rights
    • D74 - Microeconomics - - Analysis of Collective Decision-Making - - - Conflict; Conflict Resolution; Alliances; Revolutions
    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty
    • D92 - Microeconomics - - Micro-Based Behavioral Economics - - - Intertemporal Firm Choice, Investment, Capacity, and Financing

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