Browsing by Author "Muhammad Harith Zahrullaili"

The continuous technological advancement increased the amount of business data needed to be stored. Organizations have comprehended the benefits of these data and use business intelligence to gain helpful insights and support decision-making through data analysis. However, only six models were found in the current literature relating to business intelligence maturity models. In addition, most of these models did not provide an assessment tool for their users to measure the maturity level and are not explicitly designed for Malaysian public universities. A new business intelligence maturity model is developed in this study and tested using a mixed-methodology to remedy gaps presented by past models. This study explored business intelligence maturity factors with a quantitative survey involving 296 information technology employees in Malaysian public universities. It identified its relationship with business intelligence maturity level from qualitative in-depth interviews with another 12 information technology employees. The quantitative survey responses were analyzed using the multiple regression analysis. The results show that organization, people, technology, data, process, and outsourcing are the essential predictors of business intelligence maturity. Then, the in-depth interviews revealed that all six factors could be further expanded to sixteen key attributes. Finally, results from quantitative and qualitative were synthesized to produce meta-inferences and develop the final model. The model testing phase shows that Malaysian public universities can use this model to self-assess their business intelligence maturity. A model that contains a self-assessment tool is beneficial to its users in determining their capabilities and helps them adopt successful business intelligence. This study contributes to existing stages of growth theory by developing a new model with a non-linear maturity path using the mixed-methodology.