Big Data Analysis for Supply Chain Management: Evidence from Finance, Retailing and Logistics Industry

Abstract

With the development of big data and the increasing abundance of content derived from it, applications linking big data to supply chain management are gaining increasing attention. Some researchers however believe technology of big data is not quite grown up enough. This paper therefore investigates and summarizes the recent progress in terms of big data analysis (BDA) and supply chain management (SCM). To be specific, it concludes with the state-of-art exploration of the application of BDA in SCM from the fields of financial institutions, the retail industry and the logistics industry. According to the analysis, it is found that the state-of-art BDA approaches and scenarios can meet the needs and requirements of SCA, which can effectively improve the deficiencies, increase efficiency, and reduce costs. This paper will provide recommendations and examples for users who are still skeptical about big data and shed light on guiding further exploration of BDA in SCM.