Special issue on complex systems: Editor's forward

Steven D'Alessandro; Hume Winzar

doi:10.1016/j.ausmj.2013.12.002

Special issue on complex systems: Editor's forward

Steven D'Alessandro, Hume Winzar

Macquarie University

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

The study of complex systems through agent based modelling present opportunities for marketing researchers to develop time and space explanations of interactions that occur in the marketplace and determine emergent phenomena, such as the adoption of new technology or successful business networks. The use of simulations and the ideas of complex systems though may appear baffling to many and the acceptance of simulations, especially agent based models has a long way to go given concerns about the validity and realism of many models. In this special issue we aim to present a number of papers which show a wide range of applications of agent based models to study business environments and consumer behaviour. There are also theoretical and methodological papers dealing with this new research paradigm. The validation of simulation models both by competing programs and with real world data is discussed in this special issue.

Original language	English
Pages (from-to)	2-3
Number of pages	2
Journal	Australasian Marketing Journal
Volume	22
Issue number	1
DOIs	https://doi.org/10.1016/j.ausmj.2013.12.002
Publication status	Published - Feb 2014

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title = "Special issue on complex systems: Editor's forward",

abstract = "The study of complex systems through agent based modelling present opportunities for marketing researchers to develop time and space explanations of interactions that occur in the marketplace and determine emergent phenomena, such as the adoption of new technology or successful business networks. The use of simulations and the ideas of complex systems though may appear baffling to many and the acceptance of simulations, especially agent based models has a long way to go given concerns about the validity and realism of many models. In this special issue we aim to present a number of papers which show a wide range of applications of agent based models to study business environments and consumer behaviour. There are also theoretical and methodological papers dealing with this new research paradigm. The validation of simulation models both by competing programs and with real world data is discussed in this special issue.",

keywords = "Agent Based Modeling, Complexity theory, Marketing",

author = "Steven D'Alessandro and Hume Winzar",

note = "Includes bibliographical references.",

year = "2014",

month = feb,

doi = "10.1016/j.ausmj.2013.12.002",

language = "English",

volume = "22",

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AU - Winzar, Hume

N1 - Includes bibliographical references.

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Y1 - 2014/2

N2 - The study of complex systems through agent based modelling present opportunities for marketing researchers to develop time and space explanations of interactions that occur in the marketplace and determine emergent phenomena, such as the adoption of new technology or successful business networks. The use of simulations and the ideas of complex systems though may appear baffling to many and the acceptance of simulations, especially agent based models has a long way to go given concerns about the validity and realism of many models. In this special issue we aim to present a number of papers which show a wide range of applications of agent based models to study business environments and consumer behaviour. There are also theoretical and methodological papers dealing with this new research paradigm. The validation of simulation models both by competing programs and with real world data is discussed in this special issue.

AB - The study of complex systems through agent based modelling present opportunities for marketing researchers to develop time and space explanations of interactions that occur in the marketplace and determine emergent phenomena, such as the adoption of new technology or successful business networks. The use of simulations and the ideas of complex systems though may appear baffling to many and the acceptance of simulations, especially agent based models has a long way to go given concerns about the validity and realism of many models. In this special issue we aim to present a number of papers which show a wide range of applications of agent based models to study business environments and consumer behaviour. There are also theoretical and methodological papers dealing with this new research paradigm. The validation of simulation models both by competing programs and with real world data is discussed in this special issue.

KW - Agent Based Modeling

KW - Complexity theory

KW - Marketing

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DO - 10.1016/j.ausmj.2013.12.002

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EP - 3

JO - Australasian Marketing Journal

JF - Australasian Marketing Journal

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ER -

Special issue on complex systems: Editor's forward

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