INTENTION TO ADOPT BIG DATA IN SUPPLY CHAIN MANAGEMENT: A BRAZILIAN PERSPECTIVE

ABSTRACT 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.

Bibliographic Details

Main Authors:	QUEIROZ,MACIEL M, PEREIRA,SUSANA CARLA FARIAS
Format:	Digital revista
Language:	English
Published:	Fundação Getulio Vargas, Escola de Administração de Empresas de S.Paulo 2019
Online Access:	http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-75902019000600389
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