Pau, Louis-François (2007): Discovering the dynamics of smart business networks.
Preview |
PDF
MPRA_paper_31020.pdf Download (202kB) | Preview |
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.
Item Type: | MPRA Paper |
---|---|
Original Title: | Discovering the dynamics of smart business networks |
Language: | English |
Keywords: | smart business networks; business genetics; network performance; SBN; dynamics |
Subjects: | D - Microeconomics > D0 - General > D02 - Institutions: Design, Formation, Operations, and Impact D - Microeconomics > D4 - Market Structure, Pricing, and Design J - Labor and Demographic Economics > J5 - Labor-Management Relations, Trade Unions, and Collective Bargaining > J54 - Producer Cooperatives ; Labor Managed Firms ; Employee Ownership L - Industrial Organization > L2 - Firm Objectives, Organization, and Behavior > L24 - Contracting Out ; Joint Ventures ; Technology Licensing L - Industrial Organization > L1 - Market Structure, Firm Strategy, and Market Performance > L14 - Transactional Relationships ; Contracts and Reputation ; Networks D - Microeconomics > D2 - Production and Organizations > D23 - Organizational Behavior ; Transaction Costs ; Property Rights D - Microeconomics > D7 - Analysis of Collective Decision-Making > D74 - Conflict ; Conflict Resolution ; Alliances ; Revolutions D - Microeconomics > D8 - Information, Knowledge, and Uncertainty D - Microeconomics > D9 - Intertemporal Choice > D92 - Intertemporal Firm Choice, Investment, Capacity, and Financing |
Item ID: | 31020 |
Depositing User: | L-F Pau |
Date Deposited: | 20 May 2011 19:49 |
Last Modified: | 27 Sep 2019 08:08 |
References: | [1] L-F Pau (2006), Smart business network design and business genetics, Research report ERIM, Rotterdam school of management, Feb. 2006, http://hdl.handle.net/1765/7319 or http://repub.eur.nl/publications, [2] E. Nier, J. Yang, T. Yorulmazer, A. Alentorn (2007) , Network models and financial stability, J. economic dynamics and control, 31, 2033-2060 [3] P.Erdös, A. Rényi (1959), On random graphs, Publicationes Mathematicae, 6, 290-297 [4] F.Allen, D.Gale (2000), Financial contagion, J. Political economy, 108, 1-33 [5] P. Bonacich (1987), Power and centrality: a family of measures, Amer. J. Sociology, 92, 1170-1182 [6] S. Milgram (1967), The small world problem, Psychology Today, 2, 60-67 [7] H. Ebel, J. Davidsen, S. Bornholt (2002), Dynamics of social networks, Compl.Adapt. Systems, Part I, 8, 24-27 [8] M.Kuperman, G. Abamson (2001), Small world effect in an epidemiological model, Phys. Rev. Letters, 86, 2909-2912 [9] K.Carley (2003), Dynamic network analysis, in: Dynamic social network modelling and analysis: Workshop summary and papers, 133 [10] L-F Pau (2005), Smart business networks: architectural aspects and risks, in: Alexander Clemm , Olivier Feston (Eds) ,Proc. 9 th Intl IEEE/IFIP Conference on Information management (IM 2005) , Nice 16-20/05/2005 , IEEE Publications, Piscataway, NY , pp 151-155 [11] D. Braha, Y. Bar-Yam (2005), Information flow structure in large scale product development organizational networks, Chapter 8 in P Vervest, E.van Heck, L-F Pau (Eds), Smart business networks, Springer ,Berlin , 105-125 |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/31020 |