Agent-Based Modelling


Complex Systems and Agent-Based Modelling, Special Issue of Australasian Marketing Journal, Edited by Steve D?Alessandro and Hume Winzar; Deadline 1 Jun 2013

Call for Papers
Australasian Marketing Journal

Special Issue on Complex Systems and Agent-Based Modelling
Editors: Steve D’Alessandro & Hume Winzar, Macquarie University.

The Australasian Marketing Journal is proud to announce a special issue focused on recent advances and development in Complex Systems, Network theory, and Agent-Based Modelling.

Over the last two decades there has been a steady growth in interest in Complexity theory and its application to Marketing. Complex systems may exhibit organization without a central organizing authority — emergence, and they may exhibit chaotic behaviour due to multiple influences and the compounding effects of apparently small influences. For many Complex Systems represents a paradigmatic shift from established models which assume limited interaction amongst people, linear relationships, stationarity, and common parameters amongst all members of a group. For others it is an opportunity to explore previously intractable questions of dynamic systems over time because it overcomes the problem of decomposing the system and analysing sub-parts which do not necessarily give a clue as to the behaviour of the whole. And for others, it is an opportunity to examine human and market phenomena that are prohibited by ethical, market, or cost constraints.

All rigorous and thoughtful conceptual papers, literature reviews, case studies, empirical studies and practice papers using a wide range of methodologies are encouraged. A wide variety of topics will be suitable for this special edition and might include (but is not limited to) the following:

  • Development and testing of Marketing Theory,
  • Network analysis,
  • Integration of real-world empirical data with Complex Systems models,
  • Diffusion of Innovations,
  • Word-of-Mouth,
  • Business to Business relationships and inter-firm collaboration,
  • Consumer decision-making,
  • Reviews and Comparisons of Complex-Systems, Network and ABM software,
  • Teaching of market phenomena using Agent-Based simulation

Note: It is a condition of acceptance of papers with simulation models that code and data-files used to test the robustness of findings are included as part of the submission. Please submit the papers, and associated files to either or by the 1st of June 2013.

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