Assessment of Business Intelligence Fitness in Performing Tasks: Case of a University of Technology, Free State, South Africa

Business intelligence (BI) systems has been adopted in academic institutions and the public sector for decision-making. The literature review shows a lack of studies on BI fitness for task performance. In this study, BI fitness is evaluated in tasks carried out by academics and support staff in University of Technology, Free State, South Africa. A model which indicates task characteristics and technology characteristic fitness integrated to Task-Technology-fit (TTF) model is proposed. A survey research design was considered suitable for this study is the best method for the findings to the entire population. The quantitative research approach was adopted. Online survey questionnaire was developed through SurveyMonkey. An email questionnaire link was sent to 60 academic teaching and support staff. The response rate was 42 out of 60. The data collected were analysed using the IBM Statistical Software for Social Sciences version 27. The analysis was performed using the partial least squares structural equation modelling. (PLS-SEM) The findings confirmed that technology construct had a very high predictive power towards the task technology fit construct. Task construct has a strong relationship with task technology fit construct. These findings reveal that the integrated tertiary system exhibits an excellent task technology fit by supporting specific staff tasks.