IDEAS home Printed from https://ideas.repec.org/a/pkp/jotmre/v7y2020i2p155-169id2873.html
   My bibliography  Save this article

Demographic Profiling and Domestic Tourism Participation Behavior in Nairobi County, Kenya

Author

Listed:
  • Catherine Kifworo
  • Moses Okello
  • Isabella Mapelu

Abstract

This study sought to determine the extent to which demographic characteristics of residents influenced their domestic tourism participation behavior. This was achieved by establishing the relationship between seven demographic characteristics and participation behavior, followed by a comparison of the demographic characteristics of respondents participating and those not participating in domestic tourism. The purpose was to identify the segments with greatest potential for conversion from non-participation into participation in domestic tourists. The study targeted Nairobi residents aged above 18 years. Questionnaires were administered to 337 domestic tourists and 339 non-tourists. Chi square cross tabulation indicated that domestic tourism participation behavior was dependent on all the demographic characteristics of the respondents. Chi square goodness of fit test exhibited significant differences between tourists and non-tourists across all attributes of gender and level of education. For the other characteristics (namely age, occupation, income, marital status and family life cycle), the test revealed significant differences across some of the attributes while registering no significant difference across others. The segments with no significant difference were; Age (31-40), Occupation (students and retirees), Income (those earning Ksh.200,000-300,000 and above 300,000), marital status (the widowed and divorced), and family life cycle (those with young children and empty-nesters). The study, therefore, concluded that these were the segments with the greatest potential for conversion to domestic tourism participation. It further recommended the targeting of the segments identified above for domestic tourism in addition to the existing marketing efforts.

Suggested Citation

  • Catherine Kifworo & Moses Okello & Isabella Mapelu, 2020. "Demographic Profiling and Domestic Tourism Participation Behavior in Nairobi County, Kenya," Journal of Tourism Management Research, Conscientia Beam, vol. 7(2), pages 155-169.
  • Handle: RePEc:pkp:jotmre:v:7:y:2020:i:2:p:155-169:id:2873
    as

    Download full text from publisher

    File URL: https://archive.conscientiabeam.com/index.php/31/article/view/2873/4468
    Download Restriction: no

    File URL: https://archive.conscientiabeam.com/index.php/31/article/view/2873/4721
    Download Restriction: no
    ---><---

    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:pkp:jotmre:v:7:y:2020:i:2:p:155-169:id:2873. 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: Dim Michael (email available below). General contact details of provider: https://archive.conscientiabeam.com/index.php/31/ .

    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.