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Understanding the adoption of cloud BI in SMEs
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Orientador(es)
Resumo(s)
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.
Descrição
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.
Palavras-chave
Business Intelligence (BI) Diffusion of Innovation (DOI) theory Innovation adoption SMEs Technology-organization-environment (TOE) framework Information Systems and Management Management Information Systems Management of Technology and Innovation Information Systems Computer Science Applications SDG 8 - Decent Work and Economic Growth SDG 9 - Industry, Innovation, and Infrastructure
Contexto Educativo
Citação
Editora
APSI - Associação Portuguesa de Sistemas de Informação