Discovering the dynamics of smart business networks

Louis Pau

MPRA Paper from University Library of Munich, Germany

Abstract: Earlier research 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: smart business networks; business genetics; network performance; SBN; dynamics (search for similar items in EconPapers)
JEL-codes: D02 D23 D4 D74 D8 D92 J54 L14 L24 (search for similar items in EconPapers)
Date: 2007-12
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https://mpra.ub.uni-muenchen.de/31020/1/MPRA_paper_31020.pdf original version (application/pdf)

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:pra:mprapa:31020

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