IDEAS home Printed from https://ideas.repec.org/a/pio/envirb/v36y2009i2p204-228.html
   My bibliography  Save this article

Shopping-related attitudes: a factor and cluster analysis of Northern California shoppers

Author

Listed:
  • Patricia L Mokhtarian
  • David T Ory
  • Xinyu Cao

Abstract

This paper presents an analysis of general shopping and travel-related attitudes collected from a custom-designed Internet-based survey conducted in the spring of 2006, of randomly selected residents of two communities in Northern California. These and other data collected in the survey will eventually lead to models of shopping mode (channel) choice, intention, and frequency among other analyses. In this early examination of the data (Neq 966), exploratory factor analysis is performed to identify the conceptual constructs underlying a group of forty-two general shopping-related attitudinal statements, with which respondents agreed or disagreed on a five-point Likert-type scale. From the nineteen potential constructs identified in the design stage, thirteen dimensions emerged empirically: shopping and store enjoyment, price and time consciousness, impulse buying, materialism, trust, caution, trendsetting, and opinions with respect to credit card usage, technology, exercise, and the environment. Cluster analysis is then conducted to identify seven market segments having different attitudinal profiles: store shopaholics (15%), bichannel shopaholics (14%), time-starved worriers (16%), nonmaterialistic greens (16%), unwired antishoppers (14%), practical and leisure-oriented (13%), and technoconservatives (11%). These segments differ significantly, in logical ways, on a number of sociodemographic and other characteristics, including shopping channel choices. Thus, more detailed investigations of choice behavior using these market segments should prove fruitful.

Suggested Citation

  • Patricia L Mokhtarian & David T Ory & Xinyu Cao, 2009. "Shopping-related attitudes: a factor and cluster analysis of Northern California shoppers," Environment and Planning B: Planning and Design, Pion Ltd, London, vol. 36(2), pages 204-228, March.
  • Handle: RePEc:pio:envirb:v:36:y:2009:i:2:p:204-228
    as

    Download full text from publisher

    File URL: http://www.envplan.com/abstract.cgi?id=b34015t
    File Function: abstract
    Download Restriction: Fulltext access restricted to subscribers, see http://www.envplan.co.uk/B.html for details

    File URL: http://www.envplan.com/epb/fulltext/b36/b34015t.pdf
    File Function: main text
    Download Restriction: Fulltext access restricted to subscribers, see http://www.envplan.co.uk/B.html for details

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

    Other versions of this item:

    Citations

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


    Cited by:

    1. Tang, Wei & Mokhtarian, Patricia L, 2009. "Accounting for Taste Heterogeneity in Purchase Channel Intention Modeling: An Example from Northern California for Book Purchases," Institute of Transportation Studies, Working Paper Series qt3v25m8dc, Institute of Transportation Studies, UC Davis.
    2. repec:kap:transp:v:45:y:2018:i:2:d:10.1007_s11116-017-9792-0 is not listed on IDEAS
    3. repec:kap:transp:v:44:y:2017:i:5:d:10.1007_s11116-016-9683-9 is not listed on IDEAS
    4. Jonas De Vos & Patricia L. Mokhtarian & Tim Schwanen & Veronique Van Acker & Frank Witlox, 2016. "Travel mode choice and travel satisfaction: bridging the gap between decision utility and experienced utility," Transportation, Springer, vol. 43(5), pages 771-796, September.
    5. Xinyu Cao & Zhiyi Xu & Frank Douma, 2012. "The interactions between e-shopping and traditional in-store shopping: an application of structural equations model," Transportation, Springer, vol. 39(5), pages 957-974, September.

    More about this item

    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:pio:envirb:v:36:y:2009:i:2:p:204-228. 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: (Neil Hammond). General contact details of provider: http://www.pion.co.uk .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.