Singapore is depicted to be the fastest growing telecommunications nation in Asia. Presently, all the members of the Singapore banking industry have engaged in the use of Information and Communication Technology as a platform for effective and efficient means of conducting financial transactions. This paper focuses on determining the level of users’ acceptance of the electronic banking services...

singapore is depicted to be the fastest growing telecommunications nation in asia. presently, all the members of the singapore banking industry have engaged in the use of information and communication technology as a platform for effective and efficient means of conducting financial transactions. this paper focuses on determining the level of users’ acceptance of the electronic banking services...

Successful implementation of Information Technology can be judged or predicted from the user acceptance. Technology acceptance model (TAM) is a model that is built to analyze and understand the factors that influence the acceptance of the use of technologies based on the user's perspective. In other words, TAM offers a powerful explanation related to acceptance of the technology and its behavio...

The technology acceptance model (TAM) has been widely used for predicting behavioral processes involving information technologies. However, several previous studies point out that TAM may not effectively explain the adoption process of complex information technologies. This study manifests the limitations of TAM and suggests a new research model that incorporates the concept of perceived behavi...

conclusion pacs is highly accepted in all three emergency departments especially among specialists. pu, peu and change are factors influencing pacs acceptance. our study can be used as an evidence of pacs acceptance in emergency wards. results mean age of participants was 32.9 years (standard deviation [sd] = 6.08). participants with the specialty degree got a higher acceptance score than the t...

The Technology Acceptance Model (TAM) predicts the user acceptance of end-user applications by specifying causal relationships among external variables, belief and attitudinal constructs, and actual usage behavior. Although the perceived usefulness and perceived ease of use constructs have received much recent attention in the MIS literature, few studies have attempted to validate the fill TAM ...