IDEAS home Printed from https://ideas.repec.org/a/bjb/journl/v14y2025i3p114-127.html
   My bibliography  Save this article

Logistic Regression Analysis of Effect of Perceived External Determinants on Memebership Churn in Professional Organizations in Kenya: A Case Study of the Kenya Institute of Management

Author

Listed:
  • Ngetich Festus

    (Department of Statistics and Actuarial Science, Maseno University)

  • Apaka Rangita

    (Department of Statistics and Actuarial Science, Maseno University)

Abstract

Membership churn brings about significant challenges to professional organizations, thus threatening their financial stability and long-term sustainability. This study investigates the perceived external determinants influence on membership churn at the Kenya Institute of Management using logistic regression. Specifically, the study evaluated the effect of economic conditions, availability of similar services and industry and professional changes on membership churn. A cross-sectional research design was employed and with data collected from 384 KIM members through structured online surveys based on quota stratified sampling. The logistic regression model identified industry changes as the most significant predictor of churn (OR = 1.51, p

Suggested Citation

  • Ngetich Festus & Apaka Rangita, 2025. "Logistic Regression Analysis of Effect of Perceived External Determinants on Memebership Churn in Professional Organizations in Kenya: A Case Study of the Kenya Institute of Management," International Journal of Latest Technology in Engineering, Management & Applied Science, International Journal of Latest Technology in Engineering, Management & Applied Science (IJLTEMAS), vol. 14(3), pages 114-127, March.
    • Handle: RePEc:bjb:journl:v:14:y:2025:i:3:p:114-127
    as

    Download full text from publisher

    File URL: https://www.ijltemas.in/DigitalLibrary/Vol.14Issue3/114-127.pdf
    Download Restriction: no
    File URL: https://www.ijltemas.in/papers/volume-14-issue-3/114-127.html
    Download Restriction: no
    ---><---

    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:bjb:journl:v:14:y:2025:i:3:p:114-127. 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: Dr. Pawan Verma (email available below). General contact details of provider: https://www.ijltemas.in/ .

    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.