Using the simulation of ecological systems to explain the wheel of retailing

Roderick Duncan, Terence Bossomaier, Steven D'Alessandro, Kathryn French, Craig Johnson

Research output: Book chapter/Published conference paperConference paperpeer-review

1 Citation (Scopus)


Understanding the change in retail structure has been a distinct challenge for many managers and policy analysts since the 1950s. Research has focused on concepts such as the wheel of retailing. However, this theory is more descriptive than explanatory of changes in market structure. In this paper we argue that changes in retail structure (discount stores, specialist stores, department stores and even malls versus online shopping), can be modelled using the ecological simulation concept of competing sessile species, with different growth rates and overgrowth rates based on changing suitability to the environment. Our results show that the application of the COMPETE model [see 1, 2] produce greater and a different diversity of retailers in larger compared to smaller shopping malls.
Original languageEnglish
Title of host publicationProceedings of the 2015 IEEE Symposium Series on Computational Intelligence
Place of PublicationCapetown, South Africa
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages7
ISBN (Electronic)9781479975600
Publication statusPublished - 2015
Event2015 IEEE Symposium Series on Computational Intelligence: SSCI 2015 - Cape Town International Convention Center, Cape Town, South Africa
Duration: 08 Dec 201510 Dec 2015


Conference2015 IEEE Symposium Series on Computational Intelligence
Country/TerritorySouth Africa
CityCape Town
OtherAll aspects of Computational Intelligence, including evolutionary computation, artificial neural networks, swarm intelligence, fuzzy systems and their application to fields such as data mining, big data, bioinformatics, computational finance, smart grids, brain computer interfaces, biometrics, control and automation, healthcare and e-health, communication systems and networks, cyber security and digital forensics, multimedia, image and video processing, autonomous learning systems, embedded systems, and robotics.


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