AIC for Clients’ Perceived Risk on Online Buying Intention

Abstract

The Internet has switched on the instrument of media as well as a business all over the world, and buying merchandise online has become something plausible for buyers. Besides, the Web grants clients to shop at whatever point and wherever, with the ability to contrast items and costs, with few clicks and to peruse the reviews of various buyers for the liked items and the picked e-shop. However, there are a few potential risks noticed by the buyers in Internet shopping, for instance, the trust in retailers, abuse of buyers’ information, the late delivery time, or damaged goods in delivery that make buyers cancel online purchases. Thus, the purpose of this research points to empirical research of Akaike information criterion (AIC) for clients’ perceived risk on Internet buying intent. The AIC approach is used for data analysis, and the results in the optimal model indicate that the clients’ perceived risks such as financial risk, product risk, security risk, and psychological risk, negatively impacted clients’ online buying intention.