BMA Algorithm for Smartphone Purchase Decisions

Abstract

Nowadays, individuals are turning out to be increasingly more dependent on technology, particularly when connecting with others. Smartphone has one of the high technology connection tools that permitted people to link with others. Smartphone has carried many advantages to society. A few advantages of the smartphone such as calling and sending messages, catching pictures, getting to the web, socializing, downloading applications, storing data, recreation, etc. The prior reviews of research in the literature suggested factors that affected smartphone purchase decisions such as product features, social influence, product price, and brand name. However, these researches firmed only on the single selection model among models chosen. This paper used the BMA algorithm to choose the optimal models for smartphone purchase decisions. The discovery conducted with the BMA algorithm unveiled that there were the optimal three models for interpreting the relationship between explanatory variables and consumers’ smartphone purchase decisions.