大数据
供应链
业务
供应链管理
独创性
在线和离线
营销
产业组织
知识管理
计算机科学
定性研究
数据挖掘
社会科学
操作系统
社会学
作者
Bingfeng Bai,Guohua Wu
出处
期刊:Chinese Management Studies
[Emerald (MCB UP)]
日期:2023-12-28
卷期号:18 (4): 1047-1064
标识
DOI:10.1108/cms-09-2022-0336
摘要
Purpose The purpose of this study is to explore the relationship between big data and supply chain platform in China’s retail industry. With the emergence of big data resources and technologies, the business pattern of new retail advocates the combination of online and offline channels. Supply chain platform plays a key role in the implementation of retail activities, which has gradually become a research hotspot in the cross field of operations management and information system. Design/methodology/approach Through the method of literature review and case study, this study empirically explores how big data shapes supply chain platform to support new forms of online retail by grounded theory. Findings The model framework is validated by reliability test and coding method to process survey materials. The results identify the overall antecedents of supply chain platform and reveal positive effects between big data and new retail. The findings help firm managers build a big data-driven supply chain to support new retail. Originality/value There are insufficient studies on theoretical frameworks and interaction relationships among big data, supply chain platform and new retail.
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