Abstract
With the emergence of smart business networks, agile
networks, etc. as important research areas in
management, for all the attractiveness of these
concepts, a major issue remains around their design and
the selection rules. While smart business networks
should provide advantages due to the quick connect of
business partners for selected functions in a process
common to several parties, literature does not provide
constructive methods whereby the selection of temporary
partners and functions can be done. Most discussions
only rely solely on human judgment. This paper
introduces both computational geometry, and genetic
programming, as systematic methods whereby to display
possible partnerships, and also whereby to plan for
their effect on the organizations or functions of those
involved. The two techniques are also been put in the
context of emergence theory. Business maps address the
first challenge with the use of Voronoï diagrams.
Cellular automata, with genetic algorithms mimicking
living bodies, address the second challenge. This paper
does not include experimental results, which have been
derived in the high tech area to determine especially
the adequateness of systems integrators to set up joint
ventures with smaller technology suppliers.
- /
- 05.42,
- 05.49,
- 5001-6182,
- 69.s8,
- 85.00,
- 9713+,
- algorithms,
- algoritmen,
- automata,
- b6200,
- bedrijfseconomie,
- bedrijfskunde
- business
- c2.1
- cellular
- communicatie,
- communicatienetwerken,
- computational
- design
- draadloze
- emergence
- genetic
- genetics,
- genetische
- geometry,
- gis,
- hd
- he
- hf
- l14,
- l63,
- l96,
- m,
- management,
- maps,
- network,
- networks,
- of
- programming,
- smart
- technology
- theory,
- vorono{\"i},
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