IDEAS home Printed from https://ideas.repec.org/a/ula/econom/v36y2011i32p95-115.html
   My bibliography  Save this article

Heterogeneity of demand for tourist accommodation services in the state of Mérida, Venezuela: a latent class analysis

Author

Listed:
  • Marysela Coromoto Morillo Moreno

    (Profesora Asociada de la Facultad de Ciencias Económicas y Sociales de la Universidad de Los Andes, Avenida Las Américas, Complejo Liria, Edifio G., Piso 2, Mérida, Venezuela.)

  • Douglas Rivas Olivo

    (Profesor Asistente de la Escuela de Estadística, Facultad de Ciencias Económicas y Sociales de la Universidad de Los Andes, Avenida Las Américas, Complejo Liria, Edificio F, Mérida, Venezuela.)

Abstract

This paper uses latent class analysis to study the heterogeneity of demand for tourist accommodation services in the State of Merida and rank users according to common characteristics in each group. According to the results, the demand for such services is very heterogeneous and users may be grouped into four classes or segments along with various features, such as visiting purpose, age, monthly-income level, gender, group size, length of stay, category and location of the selected accommodation, tourism season, quality levels of the service, and satisfaction and return intention. Recognizing these groups is a crucial requirement for the design of marketing strategies that allow to increasing tourism demand in Merida State.

Suggested Citation

  • Marysela Coromoto Morillo Moreno & Douglas Rivas Olivo, 2011. "Heterogeneity of demand for tourist accommodation services in the state of Mérida, Venezuela: a latent class analysis," Economía, Instituto de Investigaciones Económicas y Sociales (IIES). Facultad de Ciencias Económicas y Sociales. Universidad de Los Andes. Mérida, Venezuela, vol. 36(32), pages 95-115, july-dece.
    • Handle: RePEc:ula:econom:v:36:y:2011:i:32:p:95-115
    as

    Download full text from publisher

    File URL: ftp://iies.faces.ula.ve/Pdf/Revista32/Rev32Morillo.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Tourism; marketing; segmentation; latent class.;
    All these keywords.

    JEL classification:

    • M14 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Corporate Culture; Diversity; Social Responsibility
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • C29 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Other

    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:ula:econom:v:36:y:2011:i:32:p:95-115. 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: Alexis Vásquez (email available below). General contact details of provider: https://edirc.repec.org/data/iiulave.html .

    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.