A discriminant analysis appraoch to classifying adopters and non-adopters of internet-banking services

Abstract

Several technology acceptance theories have been proposed and used to study the adoption of IB services world over. However, TAM has gained wide popularity compared to other behavioral theories. This study uses some constructs from TAM and IDT to investigate the factors that distinguish between IBA in Gaborone. Multivariate techniques such as factor and discriminant analyses were used in this study. The results indicate that, trust, awareness and compatibility proved to have more discriminatory power in IB. The groups tend not to differ much in relation to PEOU and PU. However, IB awareness can be improved in order to increase IB usage in Botswana. The authorities are also urged to entice customers into using internet in order to help improve their PEOU and PU. Training on the use of this service can be provided to the 62.7% or more who have shown interest in using IB in the future. Authors would like to suggest an exploratory study using structural equation modeling as a technique. This can reveal more insights into the data. However, if this is to be done, the sample size needs to be increased. Sample size is one of the weaknesses of this study hence we cannot generalize the findings to the whole of Botswana.