Abstract
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.
Subject
General Business, Management and Accounting
Reference85 articles.
1. Improved supply chain management based on hybrid demand forecasts;Applied Soft Computing,2007
2. Big data initiatives in retail environments: linking service process perceptions to shopping outcomes;Annals of Operations Research,2018
3. A cloud platform to support collaboration in supply networks;International Journal of Production Management and Engineering,2016
4. A new livestream retail analytics framework to assess the sales impact of emotional displays;Journal of Marketing,2022
5. Supply chains and supply networks: distinctions and overlaps;Supply Chain Management: An International Journal,2013