IDEAS home Printed from https://ideas.repec.org/a/ids/ijbexc/v18y2019i2p174-202.html
   My bibliography  Save this article

Using decision trees to analyse the customers' shopping location preferences

Author

Listed:
  • Azarnoush Ansari
  • Arash Riasi

Abstract

Customers' shopping location preferences were analysed by implementing J48 decision tree algorithm. Findings revealed that the existence of discounts at shopping centres and customers' awareness of these discounts is the most important socioeconomic factor that affects customers' behaviour in the context of shopping location preferences. The findings also revealed that the majority of high-income households prefer shopping centres, whereas households in low- or middle-income groups are more inclined toward shopping at individual scattered stores. Finally, the results indicated that J48 decision tree algorithm can be used as a reliable tool for analysing the consumer behaviour due to its high accuracy.

Suggested Citation

  • Azarnoush Ansari & Arash Riasi, 2019. "Using decision trees to analyse the customers' shopping location preferences," International Journal of Business Excellence, Inderscience Enterprises Ltd, vol. 18(2), pages 174-202.
    • Handle: RePEc:ids:ijbexc:v:18:y:2019:i:2:p:174-202
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=99557
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ana Marija Filipas & Nenad Vretenar & Ivan Prudky, 2023. "Decision trees do not lie: Curiosities in preferences of Croatian online consumers," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 41(1), pages 157-181.

    More about this item

    Keywords

    decision tree; data mining; customer behaviour; shopping centres; J48; consumer buying behaviour.;
    All these keywords.

    JEL classification:

    • J48 - Labor and Demographic Economics - - Particular Labor Markets - - - Particular Labor Markets; Public Policy

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ids:ijbexc:v:18:y:2019:i:2:p:174-202. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=291 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.