Big Data in Supply Chain Management
成果类型：
Article
署名作者：
Sanders, Nada R.; Ganeshan, Ram
署名单位：
Northeastern University; William & Mary
刊物名称：
PRODUCTION AND OPERATIONS MANAGEMENT
ISSN/ISSBN：
1059-1478
DOI：
10.1111/poms.12892
发表日期：
2018
页码：
1745-1748
关键词：
摘要：
Big data has become ubiquitous. It is impacting every aspect of how companies organize and manage their supply chains. Supply chains are evolving into digital networks connected via devices and sensors revolutionizing how data is generated, shared, and communicated. It is also unlocking new research streams. In this study, we introduce papers in this issue and showcase Big Data research trends across supply chain management.