Discovering the Dynamics of Smart Business Networks

Louis Pau

ERIM Report Series Research in Management from Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam

Abstract: In an earlier paper ,was discussed the necessary evolution from smart business networks, as based on process need satisfaction and governance, into business genetics [1] based on strategic bonds or decay and opportunistic complementarities. This paper will describe an approach and diffusion algorithms whereby to discover the dynamics of emergent smart business network structures and their performance in view of collaboration patterns over time. Some real life early analyses of dynamics are discussed based on cases and date from the high tech sector. Lessons learnt from such cases are also given on overall smart network dynamics with respect to local interaction strategies, as modelled like in business genetics by individual partner profiles, goals and constraints. It shows the weakness of static "business operating systems", as well as the possibly destabilizing clustering effects amongst nodes linked to filtering, evaluation and own preferences.

Keywords: SBN; business genetics; dynamics; network performance; smart business networks (search for similar items in EconPapers)
JEL-codes: L15 L22 M O32 (search for similar items in EconPapers)
Date: 2007-12-03
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Related works:
Journal Article: Discovering the dynamics of smart business networks (2014)
Working Paper: Discovering the dynamics of smart business networks (2007)
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Persistent link: https://EconPapers.repec.org/RePEc:ems:eureri:10732

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