物联网
违反直觉
杠杆(统计)
数据共享
供应链
频道(广播)
原始数据
业务
计算机科学
钥匙(锁)
产业组织
数据聚合器
价值(数学)
面板数据
大数据
信息共享
共享经济
计算机安全
商业
互联网
电子商务
市场份额
作者
Can Sun,Yonghua Ji,Radha Mookerjee
标识
DOI:10.1177/10591478251400471
摘要
The advancement of Internet of Things (IoT) technology has enabled IoT device manufacturers to collect consumer usage data (IoT data) whenever their devices are in use. Our paper examines the following setting: A manufacturer collects IoT data and decides whether to share it with a retailer, while consumers remain concerned about their privacy; the retailer, in turn, can leverage the shared data for cross-selling by investing in data-mining efforts that transform raw data into actionable insights. This aspect of data mining differentiates our study from traditional research on information sharing. Beyond selling through the existing retail channel, the manufacturer also has the option to establish a direct channel, thereby encroaching on the retailer’s market. Our analysis reveals several key insights. First, when the manufacturer both encroaches and shares IoT data, we observe a counterintuitive positive effect of the channel substitution rate: As the substitution rate increases, both the manufacturer and the retailer may see higher profits. Second, while the manufacturer always chooses to encroach when data sharing is absent, its motivation to do so weakens when it shares IoT data. Finally, we find that an increase in the value of IoT data can unexpectedly lead to a decline in the retailer’s profit.
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