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.

Perspectives

No longer is it possible to rely mostly on subjective assessments when partnering around business critical tasks and processes. It is no longer possible either to ignore the longer term implications of engaging in, or disengaging from, a partnership, especially as these become multi-polar. Despite the difficulties involved, the proposed approach provides a compromise approach able to characterize quantitatively past networked business interactions at levels beyond purely commercial payments, and to provide forward looking guidance. This is of interest to several key decision makers in general management, in purchasing, in sales as well as in outsourcing and operations. It also offers a unifying framework for these functions to share and accumulate experiences and data, with the possible coordinating role given to the audit function. Case data and this analysis also allow to put the smart business network concept into perspective, showing that the “quick connect-quick disconnect” is rarely trusted, except to switch from one stable sub-network to another one.

Professor Louis F Pau
CBS Group of Institutions

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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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