Investment decision of Big Data information service for book supply chain

被引:0
|
作者
Liu, Pan [1 ]
Yang, Fuxing [1 ]
Cui, Xiaoyan [1 ]
Zhang, Ziran [1 ]
机构
[1] Henan Agr Univ, Informat & Management Coll, NongYe Rd 63, Zhengzhou, Henan, Peoples R China
来源
2021 IEEE 17TH INTERNATIONAL CONFERENCE ON AUTOMATION SCIENCE AND ENGINEERING (CASE) | 2021年
关键词
Big Data information service; wholesale and agency pricing models; pricing rules; decision making;
D O I
10.1109/CASE49439.2021.9551672
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Members of book supply chain have begun to pay attention to big data and explore ways and methods to use it. However, for the traditional publishing knowledge supply chain, facing wholesale pricing and agency pricing models about book, they want to know the condition of BDIS Investment and how to price. To solve these problems, a book supply chain with one publisher and one retailer was chosen. Moreover, the publisher releases electronic version and paper version books simultaneously. Considering wholesale pricing and agency pricing models, we built and analysed benefit models in the proposed four situations. Findings: 1) if publisher and retailer want to gain more benefits. They should try their best to attract the value of Big Data information and reduce the value of the BDIS optimization coefficient. 2) If publisher and retailer have invested in BDIS, adopting wholesale pricing model will help members gain more benefits.
引用
收藏
页码:1509 / 1514
页数:6
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