The role of big data in the formation of supply chain platform for new forms of online retail
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.
Keywords
Acknowledgements
The authors would like to thank the anonymous referees for their comments and suggestions, as well EIC Cherrie Zhu and AE Yuhong Wang for their insightful remarks. In addition, we would like to thank Prof Junjun Gao, Lei Chen and Guahua Wu who commented on earlier versions of this paper and provided valuable ideas.
Citation
Bai, B. and Wu, G. (2024), "The role of big data in the formation of supply chain platform for new forms of online retail", Chinese Management Studies, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/CMS-09-2022-0336
Publisher
:Emerald Publishing Limited
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