Business Intelligence (BI) systems have been largely used to support decision-making and increase competitive advantage between firms. In order to understand the adoption of BI systems in organizations, many studies have used adoption theories to support their results. However, to our knowledge, none of these studies have focused on the adoption of cloud BI solutions in small and medium enterprises (SMEs). This study aims to fill this gap in the literature and assess the determinant factors to the adoption of cloud BI in SMEs. We propose a conceptual model based on the combination of two prominent adoption theories: diffusion of innovation (DOI) theory, and the technology, organization, and environment (TOE) framework. Data collected from 203 SMEs were analysed using the partial least squares structural equation modelling (PLS-SEM) method. Results show that the variables relative advantage, compatibility and top management support are significant to the adoption of cloud BI in SMEs.
Ferro, Daniel and Martins, Ricardo, "Understanding the adoption of Cloud BI in SMEs" (2019). CAPSI 2019 Proceedings. 27.