个性化
采购
背景(考古学)
计算机科学
钥匙(锁)
生产(经济)
业务
知识管理
数据科学
大数据
营销
数据采集
客户关系管理
大规模定制
过程管理
数据收集
测量数据收集
客户情报
风险分析(工程)
客户参与度
新兴技术
作者
Ping Yan,Jun Pei,Savitri Kumar
标识
DOI:10.1287/isre.2024.1266
摘要
More manufacturers are combining novel customer-to-manufacturer (C2M) with traditional make-to-order (MTO) customization to deliver tailored products. However, they face a critical choice between collecting data independently and purchasing data-driven insights from e-commerce platforms. This key decision remains ambiguous in practice and understudied in the information systems literature, with little rigorous analysis on data acquisition ways and their interaction with hybrid customization. This study addresses this gap by investigating firms’ data acquisition strategies in the context of hybrid customization. We find that when the marginal cost of data acquisition is high for both the manufacturer and the e-commerce platform, and customers have a stronger bias against tailored products, the manufacturer should still prefer collecting market data independently rather than purchasing data-driven insights. The e-commerce platform should not always provide insight support. Moreover, manufacturer-collected C2M may sometimes lead to a higher effort level of acquiring informative data and more customer welfare than platform-initiated C2M. These results provide valuable guidelines to manufacturers on choosing an appropriate data acquisition way, to e-commerce platforms on offering data-driven insights, and to policymakers on improving customer welfare. These results also contribute to the emerging literature in IS and related disciplines on data-driven production models.
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