Data-driven online service supply chain: a demand-side and supply-side perspective

Purpose Big data analytics (BDA) and machine learning (ML) can be used to identify the influencing factors of online service supply chains (OSSCs) and can help in the formulation of optimal pricing strategies. This paper analyzes the influencing factors of customer online shopping from the demand-side perspective and formulates optimal pricing strategies from the supply-side perspective. Design/methodology/approach This paper uses ML and the...