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

Ngetich Festus and Apaka Rangita
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Ngetich Festus: Department of Statistics and Actuarial Science, Maseno University
Apaka Rangita: Department of Statistics and Actuarial Science, Maseno University

International Journal of Latest Technology in Engineering, Management & Applied Science, 2025, vol. 14, issue 3, 114-127

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

Date: 2025
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