ECONOMETRIC MODELING OF THE IMPACT OF MOBILE PAYMENT SERVICES ON CONSUMER BEHAVIOR: AN EMPIRICAL ANALYSIS USING DATA FROM PAYME, CLICK, AND UZUM BANK

Abstract

This article investigates the impact of mobile payment services on consumer behavior through an econometric modelling approach. Using empirical data from Payme, Click, and Uzum Bank – the three leading digital payment platforms in Uzbekistan – the research evaluates how the intensity of mobile transaction usage influences consumer spending patterns and adoption decisions. A multiple regression model and logistic estimation techniques are employed to identify statistically significant determinants shaping behavioral shifts towards digital financial services. The results demonstrate that transaction frequency, service convenience, perceived security, and digital infrastructure quality are key drivers of consumer behavior transformation. The findings contribute to the growing literature on fintech adoption in emerging markets and provide policy-relevant insights for strengthening digital financial ecosystems.