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Business Network Simulation: Combining Research Cases and Agent-Based Models in a Robust Methodology
BI Norwegian Business School, Center for Cooperative Studies Department of Innovation and Economic Organisation, Oslo, Norway.ORCID iD: 0000-0002-6646-9798
2012 (English)In: International Journal of Business Administration, ISSN 1923-4007, E-ISSN 1923-4015, Vol. 3, no 6, 82-92 p.Article in journal (Refereed) Published
Abstract [en]

This 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. [ABSTRACT FROM AUTHOR] Copyright of International Journal of Business Administration is the property of Sciedu Press and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Place, publisher, year, edition, pages
Sciedu Press , 2012. Vol. 3, no 6, 82-92 p.
Keyword [en]
BUSINESS networks, MANAGEMENT, SIMULATION methods, MANAGEMENT science, MULTIAGENT systems, Agent-based models, Complexity, Interaction, Multi-agent simulation, Process, Social simulation
National Category
Business Administration
Research subject
Business Studies
Identifiers
URN: urn:nbn:se:oru:diva-40895DOI: 10.5430/ijba.v3n6p82ISBN: 19234007 OAI: oai:DiVA.org:oru-40895DiVA: diva2:779129
Note

Prenkert, Frans 1; Email Address: frans.prenkert@bi.no; Affiliations: 1: BI Norwegian Business School, Center for Cooperative Studies, Department of Innovation and Economic Organisation, NO-0442 Oslo, Norway; Issue Info: Nov2012, Vol. 3 Issue 6, p82; Thesaurus Term: BUSINESS networks; Thesaurus Term: MANAGEMENT; Thesaurus Term: SIMULATION methods; Thesaurus Term: MANAGEMENT science; Subject Term: MULTIAGENT systems; Author-Supplied Keyword: Agent-based models; Author-Supplied Keyword: Business networks; Author-Supplied Keyword: Complexity; Author-Supplied Keyword: Interaction; Author-Supplied Keyword: Multi-agent simulation; Author-Supplied Keyword: Process; Author-Supplied Keyword: Social simulation; Number of Pages: 11p; Document Type: Article

Available from: 2015-01-12 Created: 2015-01-12 Last updated: 2015-04-23Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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More styles
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  • de-DE
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  • Other locale
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