IDEAS home Printed from https://ideas.repec.org/a/cmj/seapas/y2016i10p71-83.html
   My bibliography  Save this article

Factorial Correspondences Analysis – A Tool In Tourism Motivation Research

Author

Listed:
  • Ion Danut I. JUGANARU

    (Ovidius University of Constanta)

  • Kamer Ainur M. AIVAZ

    (Ovidius University of Constanta)

  • Mariana C. JUGANARU

    (Ovidius University of Constanta)

Abstract

This study aims at analyzing the distribution of tourist flows in 2014, from 25 European countries, on three main categories of trip purposes, and assumes that there are differences or similarities between the tourists’ countries of residence and their trip purposes. "Purpose'' is a multidimensional concept used in marketing research, most often for understanding consumer behavior, and for identifying market segments or customer target groups, reunited in terms of similar characteristics. Being aware that the decision of choice/ purchase is based on purposes, their knowledge proves useful in designing strategies to increase the satisfaction level provided to the customer. The statistical method used in this paper is the factorial correspondences analysis. In our opinion, the identification, by this method, of the existence of differences or similarities between the tourists’ countries of residence and their trip purposes can represent a useful step in studying the tourism market and the choice/ reformulation of strategies.

Suggested Citation

  • Ion Danut I. JUGANARU & Kamer Ainur M. AIVAZ & Mariana C. JUGANARU, 2016. "Factorial Correspondences Analysis – A Tool In Tourism Motivation Research," SEA - Practical Application of Science, Romanian Foundation for Business Intelligence, Editorial Department, issue 10, pages 71-83, April.
    • Handle: RePEc:cmj:seapas:y:2016:i:10:p:71-83
    as

    Download full text from publisher

    File URL: http://seaopenresearch.eu/Journals/articles/SPAS_10_10.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Tourism; Destination; Factorial correspondences analysis; Trip purpose;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism
    • M21 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics - - - Business Economics
    • J63 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Turnover; Vacancies; Layoffs
    • Z33 - Other Special Topics - - Tourism Economics - - - Marketing and Finance

    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:cmj:seapas:y:2016:i:10:p:71-83. 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: Serghie Dan (email available below). General contact details of provider: https://seaopenresearch.eu/ .

    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.