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dc.contributor.authorPrenkert, Frans
dc.date.accessioned2012-11-28T11:48:17Z
dc.date.available2012-11-28T11:48:17Z
dc.date.issued2012
dc.identifier.issn1923-4015 (e-utg)
dc.identifier.urihttp://hdl.handle.net/11250/93712
dc.descriptionThis is an open access journal. www.doaj.orgno_NO
dc.description.abstractThis paper describes the use of an agent-based model (ABM) with the purpose of simulating interaction processes in business networks. Such an ABM must be able to capture time and process in networks while retaining a level of comprehension and overview. The ABM rests on the assumption that business networks can be viewed as complex adaptive systems (CAS) and draws on the opportunities to build and use ABMs to simulate processes in such systems. This paper outlines the conceptual foundations and the methodological challenges and opportunities associated with such an endeavor with special reference to issues concerning the modeling of the complexities of business networks. Specifically it discusses the use of ABM and research case in combination in an effort to produce a robust methodology. It contributes with suggestions on how one concretely can handle these issues and challenges when using ABMs to model non-linear dynamic interaction processes in networks.no_NO
dc.language.isoengno_NO
dc.publisherSciedu Pressno_NO
dc.subjectsocial simulationno_NO
dc.subjectagent-based modelsno_NO
dc.subjectmulti-agent simulationno_NO
dc.subjectbusiness networksno_NO
dc.subjectinteractionno_NO
dc.subjectcomplexityno_NO
dc.subjectprocessno_NO
dc.titleBusiness Network Simulation: Combining Research Cases and Agent-Based Models in a Robust Methodologyno_NO
dc.typeJournal articleno_NO
dc.typePeer reviewedno_NO
dc.source.pagenumber82-92no_NO
dc.source.volume3no_NO
dc.source.journalInternational Journal of Business Administrationno_NO
dc.source.issue6no_NO
dc.identifier.doihttp://dx.doi.org/10.5430/ijba.v3n6p82


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