The Critical Role of Perceived Risk and Trust in Determining Customer Satisfaction with Automated Banking Channels

Abstract

Comparatively little attention has been paid to the role played by trust and perceived risk in determining satisfaction within the banking sector and in particular Automated Teller Machines (ATMs). Here, the key variables in determining satisfaction with ATMs are determined. Based on a literature review, a number of hypotheses have been developed. A linear regression model is used to predict the overall level of consumer satisfaction with ATMs. The final model uses five direct input factors and seven moderated factors, of which the most important were found to be perceived value, trust, and perceived risk. Finally, the managerial and research implications of these results are discussed.