IDEAS home Printed from https://ideas.repec.org/h/spr/prbchp/978-3-030-12453-3_140.html
   My bibliography  Save this book chapter

Consumer Segmentation Matrix and Variables for the Explanation of Binary Purchasing Criteria: Prices vs. Product Differentiation

In: Strategic Innovative Marketing and Tourism

Author

Listed:
  • Jose G. Vargas Hernandez

    (Universidad de Guadalajara CUCEA)

  • Elsa Patricia Orozco Quijano

    (Laurentian University)

  • Cesar Francisco Cárdenas-Dávila

    (Universidad de Occidente)

  • Julio Cesar Ceniceros-Angulo

    (Universidad Interamericana para el Desarrollo)

Abstract

This paper proposes a matrix with dimensions or blocks of consumer segmentation and simultaneously presents seven covariates synthesized and his importance thru the rating Rao, Chi-square, and Wald statistics, which shown how these and their bases of segmentation can be used in the construction of different marketing models using binary logistic regression models. For this, the authors considered as dependent variable the binary criterion based on consumer purchase price or its counterpart product attributes. Two demographic covariates were finally identified; a psychographic and three behavioral.

Suggested Citation

  • Jose G. Vargas Hernandez & Elsa Patricia Orozco Quijano & Cesar Francisco Cárdenas-Dávila & Julio Cesar Ceniceros-Angulo, 2019. "Consumer Segmentation Matrix and Variables for the Explanation of Binary Purchasing Criteria: Prices vs. Product Differentiation," Springer Proceedings in Business and Economics, in: Androniki Kavoura & Efstathios Kefallonitis & Apostolos Giovanis (ed.), Strategic Innovative Marketing and Tourism, pages 1223-1233, Springer.
    • Handle: RePEc:spr:prbchp:978-3-030-12453-3_140
    DOI: 10.1007/978-3-030-12453-3_140
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:spr:prbchp:978-3-030-12453-3_140. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.