Towards a hybrid approach of primitive cognitive network process and weighted iterative dichotomiser 3 for customer e-payment adoption analysis

Abstract

Attracting customers to use e-payment is the critical success factor for the e-business transaction. Various factors influence the customers to adopt e-Payment. A hybrid approach of Primitive Cognitive Network Process (PCNP) and Weighted Iterative Dichotomiser Three (WID3) is proposed to classify the factors which influence the customer e-payment adoptions. Whilst PCNP is a revised approach of Analytic Hierarchy Process (AHP) to quantify the weights of factors, WED3 is the classification approach combining the weighted factors to the classical ID3 to classify data into distinct groups. An application shows the proposed approach could identify the patterns of customer e-Payment adoption, and predict the potential customer adoption behaviour.