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.

摘要：大数据应用已重塑诸多商业模式，并对供应链管理（Supply Chain Management，SCM）带来了深刻的颠覆性变革。本研究依托大数据、供应链管理以及技术接受与使用统一理论（Unified Theory of Acceptance and Use of Technology，UTAUT）的相关文献，旨在探究影响巴西供应链管理从业者采纳大数据的核心变量。为此，本研究对已有的UTAUT模型进行了适配与验证。针对152名供应链从业者的调研结果显示，促进条件（Facilitating Conditions，如信息技术基础设施（IT infrastructure））对其采纳大数据的意向具有显著正向影响；但社会影响（Social Influence）与绩效期望（Performance Expectancy）未展现出显著作用。本研究可为实践领域提供重要参考，为规划大数据项目的决策者提供极具价值的决策洞见；同时，本研究填补了巴西语境下大数据领域的部分研究空白，为相关学术研究补充了有益贡献。