Advanced Search
MyIDEAS: Login

A modular fuzzy inference system approach in integrating qualitative and quantitative analysis of store image

Contents:

Author Info

  • Ling-Zhong Lin

    ()

  • Tsuen-Ho Hsu
Registered author(s):

    Abstract

    The image situation in a store includes various stimuli, such as color, sound, scent, taste, layout and space, which are important clues for buyers. This paper describes store image response and a fuzzy logic model developed by comprehensive literature studies on image measurements (including atmospheric factors) and perceptual measures. Here, a fuzzy inference system is proposed as an alternative approach to handle effectively the impreciseness and uncertainty that are normally found in store image selection processes. This paper also shows that the proposed decision-making model is application to modified stimulus–organism–response (S–O–R) framework for integrating qualitative and quantitative analysis. The result of the simulation indicates a numerical and linguistic change in the store image perception after analyzing three input parameters. This finding is able to provide a solid foundation on which retailers and decision makers can base suitable strategies for ensuring the efficiency and stability of store image management system. Copyright Springer Science+Business Media B.V. 2012

    Download Info

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
    File URL: http://hdl.handle.net/10.1007/s11135-011-9561-7
    Download Restriction: Access to full text is restricted to subscribers.

    As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

    Bibliographic Info

    Article provided by Springer in its journal Quality & Quantity.

    Volume (Year): 46 (2012)
    Issue (Month): 6 (October)
    Pages: 1847-1864

    as in new window
    Handle: RePEc:spr:qualqt:v:46:y:2012:i:6:p:1847-1864

    Contact details of provider:
    Web page: http://www.springer.com/economics/journal/11135

    Order Information:
    Web: http://link.springer.de/orders.htm

    Related research

    Keywords: Fuzzy inference system; Qualitative and quantitative; Store image;

    References

    References listed on IDEAS
    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
    as in new window
    1. Collan, Mikael & Liu, Shuhua, 2002. "Fuzzy Logic and Intelligent Agents: Towards the Next Step of Capital Budgeting Decision Support," Working Papers 398, IAMSR, Åbo Akademi.
    2. Belk, Russell W, 1975. " Situational Variables and Consumer Behavior," Journal of Consumer Research, University of Chicago Press, vol. 2(3), pages 157-64, December.
    3. Chebat, Jean-Charles & Michon, Richard, 2003. "Impact of ambient odors on mall shoppers' emotions, cognition, and spending: A test of competitive causal theories," Journal of Business Research, Elsevier, vol. 56(7), pages 529-539, July.
    4. Samli, A. Coskun & Kelly, J. Patrick & Hunt, H. Keith, 1998. "Improving the Retail Performance by Contrasting Management- and Customer-Perceived Store Images: A Diagnostic Tool for Corrective Action," Journal of Business Research, Elsevier, vol. 43(1), pages 27-38, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Lists

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    Statistics

    Access and download statistics

    Corrections

    When requesting a correction, please mention this item's handle: RePEc:spr:qualqt:v:46:y:2012:i:6:p:1847-1864. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Guenther Eichhorn) or (Christopher F Baum).

    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.

    If references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 profile, as there may be some citations waiting for confirmation.

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