跨国公司
产品(数学)
上游(联网)
业务
供应链
新产品开发
电子商务
产业组织
大数据
激励
师(数学)
数据共享
约束(计算机辅助设计)
信息共享
价值(数学)
销售管理
营销
计算机科学
微观经济学
经济
电信
数据挖掘
机器学习
替代医学
病理
万维网
工程类
算术
机械工程
医学
数学
财务
几何学
作者
Baozhuang Niu,Jian Dong,Dai Zhi-peng,Yaoqi Liu
标识
DOI:10.1016/j.elerap.2021.101112
摘要
Product development is critical in production research, which requires the developer's real-time knowledge of product sales. However, in cross-border e-commerce, the multinational firm (MNF) is in upstream and it is the e-commerce platforms such as JD.com who accumulate the sales big data. Then, whether the platforms have incentives to share the sales data vertically to improve the product development efficiency, especially when the MNF may establish a retail division that competes with the e-commerce platform? In this paper, we build a three-stage optimization model by incorporating a MNF's product development effort, the constraint of arm's length principle, the benefit of cross-border tax-planning, and the co-opetition relationship between the MNF and an e-commerce platform. We find that, both the MNF and its retail division benefit from the platform's sales data sharing, but the platform's data sharing decision critically depends on the value of its information advantage and the MNF's product development efficiency. We find there exist "win–win–win" opportunities for all the supply chain parties with the platform's sales data sharing.
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