Literature has emphasized on human computer interaction as the backbone of technology use and acceptance. The authors made use of the task-technology fit theory and argue that any pre-occupation with the theory from the perspective of task and technology characteristics that does not embrace the user technology self-efficacy is unrealistic and unauthentic. Contributing to debates on task technology fit theory; this study provides self-efficacy as an antecedent for mobile phone voting task technology fit. The purpose of this study is to empirically examine the possibility of extending the task technology fit theory by cooperating self-efficacy to the task and technology characteristics within the voting context. The participants voted for their representatives using a mobile phone voting application. Data was collected using a self-completion questionnaire and the partial least squares was employed. The proposed model displayed a good fit with the data and rendered satisfactory explanatory power for mobile phone voting.
['Noluntu Mpekoa', 'Aaron Bere']
An Extension and Validation of the Task-Technology Fit: A Case of a Mobile Phone Voting System