What is it about?
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.
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Why is it important?
Most of today's business is conducted through business-to-business (B2B) interactions, alliances , and ecosystems. The paper offers a computational method to assess the dynamics, powers of attraction or repulsion in such business networks over time.
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This page is a summary of: Discovering the dynamics of smart business networks, Computational Management Science, March 2013, Springer Science + Business Media,
DOI: 10.1007/s10287-013-0162-x.
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