Intention to adopt big data in supply chain management: A Brazilian perspective

• Autor(a) principal: Queiroz, Maciel M.
• Data de Publicação: 2019
• Outros Autores: Pereira, Susana Carla Farias
• Tipo de documento: Artigo
• Idioma: eng; por
• Título da fonte: Revista de Administração de Empresas
• Texto Completo: https://periodicos.fgv.br/rae/article/view/80773
• topic: Big data; supply chain management; adoption; survey; partial least squares structural equation modeling; Big data; gestão da cadeia de suprimentos; adoção; survey; partial least squares structural equation modeling; PLS-SEM.

Big data applications have been remodeling several business models and provoking strong radical transformations in supply chain management (SCM). Supported by the literature on big data, supply chain management, and the unified theory of acceptance and use of technology (UTAUT), this study aims to evaluate the variables that influence the intention of Brazilian SCM professionals to adopt big data. To this end, we adapted and validated a previously developed UTAUT model. A survey of 152 supply chain respondents revealed that facilitating conditions (e.g., IT infrastructure) have a high influence on their intention to adopt big data. However, social influence and performance expectancy showed no significant effect. This study contributes to the practical field, offering valuable insights for decision-makers considering big data projects. It also contributes to the literature by helping minimize the research gap in big data in the Brazilian context.