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http://hdl.handle.net/2123/7770
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| Title: | BNAS: Towards a Business Nework ABM System |
| Authors: | Young, Louise University of Sydney Business School |
| Keywords: | Agent Modelling Business Relations Relationships Networks Economic Systems Dynamics Research Management Marketing Simulation Structure Behaviour Performance BNAS Business |
| Issue Date: | 6-Jul-2011 |
| Series/Report no.: | ABM Wednesday Colloquium 5 |
| Abstract: | Business relations and networks play a central role in the way business and economic systems are organised and function. But their dynamics and evolution have received little research attention, with research focusing more on comparative static and cross-section surveys. In order to develop appropriate research-based management and policy advice we need a better understanding of how business relations and networks form and evolve. One way to do this is through the development of of agent-based simulation models of business relations and networks that allow researchers to systematically explore the nature and impact of different factors on structure, behaviour and performance that are beyond traditional closed-form mathematical solution and which would be impossible in the field. |
| Description: | Presentation by Professor Louise Young of the University of Western Sydney at the Agent-Based Modelling Intensive Course Wednesday Colloquium, held at the University of Sydney Business School in July 2011. Contributors to research also include Fabian Held, Professor Ian Wilkinson, Professor Robert Marks and Professor Terry Bossomaier. In this presentation, Louise Young provides an introduction to business systems and networks, and provides explanation for why agent-based modelling and simulation will greatly assist the research into these systems. Areas covered include the dynamics and evolution of business networks, existing models of the development of business systems and networks, viewing business relations and networks as complex adaptive systems, and an introduction to BNAS: the Business Network ABM System. |
| URI: | http://hdl.handle.net/2123/7770 |
| Department/Unit/Centre: | University of Sydney Business School |
| Appears in Collections: | Agent-Based Modelling |
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