Examining Determinants of Customer Bank Selection Using Logistic Regression

In increasingly competitive banking markets, understanding the determinants of customer choice between public and private institutions is essential for strategic positioning and market competitiveness. Despite extensive research on consumer banking behavior, limited empirical work has systematically examined how service quality, risk perception, reputation, and cost considerations jointly influence bank type selection using rigorous statistical methods. This study examines the key factors influencing individuals' choice between public and private banks, specifically analyzing four independent variables: value-added services, perceived risk, institutional reputation, and perceived costs. A binary logistic regression approach is applied to data collected from 341 respondents to assess the individual and combined effects of these factors on banking preferences. The findings demonstrate that value-added services (OR=1.374, p=.005) and institutional reputation (OR=1.248, p=.037) significantly increase the likelihood of selecting private banks, while perceived risk (OR=0.600, p