TY - GEN
T1 - Understanding the adoption of cloud BI in SMEs
AU - Ferro, Daniel
AU - Martins, Ricardo
N1 - Ferro, D., & Martins, R. (2019). Understanding the adoption of cloud BI in SMEs. In Atas da Conferencia da Associacao Portuguesa de Sistemas de Informacao 2019: 19ª Conferencia da Associacao Portuguesa de Sistemas de Informacao, CAPSI 2019 - 19th Conference of the Portuguese Association for Information Systems, CAPSI 2019; Lisboa; Portugal; 11 October 2019 through 12 October 2019 (Atas da Conferencia da Associacao Portuguesa de Sistemas de Informacao). Associação Portuguesa de Sistemas de Informação.
PY - 2019/10/1
Y1 - 2019/10/1
N2 - 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.
AB - 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.
KW - Business Intelligence (BI)
KW - Diffusion of Innovation (DOI) theory
KW - Innovation adoption
KW - SMEs
KW - Technology-organization-environment (TOE) framework
UR - http://www.scopus.com/inward/record.url?scp=85086632991&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85086632991
T3 - Atas da Conferencia da Associacao Portuguesa de Sistemas de Informacao
BT - Atas da Conferencia da Associacao Portuguesa de Sistemas de Informacao 2019
PB - APSI - Associação Portuguesa de Sistemas de Informação
T2 - 19.a Conferencia da Associacao Portuguesa de Sistemas de Informacao, CAPSI 2019 - 19th Conference of the Portuguese Association for Information Systems, CAPSI 2019
Y2 - 11 October 2019 through 12 October 2019
ER -
