@article {10.3844/ajebasp.2015.60.67,
article_type = {journal},
title = {Big Data Driven Supply Chain Management and Business Administration},
author = {Wang, Lidong and Alexander, Cheryl Ann},
volume = {7},
year = {2015},
month = {Jun},
pages = {60-67},
doi = {10.3844/ajebasp.2015.60.67},
url = {https://thescipub.com/abstract/ajebasp.2015.60.67},
abstract = {Big Data helps improve visibility throughout the supply chain, provides an integrated view of operational performance and customer interaction and gives businesses real-time insights that help make critical decisions. Big Data also has a potential to yield new management principles. This paper introduces the Big Data concept, its characteristics and some major issues of Big Data in supply chain management and business administration. These issues include supply chain and business data, Big Data benefits and its applications and opportunities. Methods and technology progress about Big Data are presented in this study. General challenges of Big Data and Big Data challenges in supply chain management and business administration are also discussed.},
journal = {American Journal of Economics and Business Administration},
publisher = {Science Publications}
}