首页 | 本学科首页   官方微博 | 高级检索  
     

考虑商品促销关联效应的网络零售商动态定价模型
引用本文:高峻峻,郭鹏. 考虑商品促销关联效应的网络零售商动态定价模型[J]. 上海大学学报(自然科学版), 2021, 27(5): 959-971. DOI: 10.12066/j.issn.1007-2861.2190
作者姓名:高峻峻  郭鹏
作者单位:上海大学悉尼工商学院,上海201800
基金项目:国家自然科学基金资助项目(71871133)
摘    要:随着电子商务的高速发展,如何通过最优商品定价决策来帮助企业获得最优利润已成为网络零售商运营管理的重要研究方向.随着促销活动的频次和种类的不断增加,商品存在促销关联效应,不同的促销策略会对商品间的销量产生影响.首先,应用Granger-LAS SO (least absolute shrinkage and select...

关 键 词:网络零售商  动态定价  促销关联效应  需求预测
收稿时间:2019-12-27

Dynamic pricing model based on correlation effect of product promotion for an online retailer
GAO Junjun,GUO Peng. Dynamic pricing model based on correlation effect of product promotion for an online retailer[J]. Journal of Shanghai University(Natural Science), 2021, 27(5): 959-971. DOI: 10.12066/j.issn.1007-2861.2190
Authors:GAO Junjun  GUO Peng
Affiliation:SHU-UTS SILC Business School, Shanghai University, Shanghai 201800, China
Abstract:In addition to the rapid development of e-commerce business, helping enterprises obtain optimal profits through dynamic pricing decisions has become a critical research direction of operations management for online retailers. With the increase in the frequency and variety of promotional activities, there are increasingly strong promotional correlation effects amid products. Therefore, different promotional strategies impact sales at the inter- and intra-category level. This study first applies the Granger-LASSO (least absolute shrinkage and selection operator) test to identify promotional correlation effects. The ADL (advanced distributed learning)-LASSO multi-stage regression is then used to establish a demand forecast model. Finally, the demand model is integrated into the profit function to establish a dynamic pricing model that considers promotional correlation effects. The experimental simulation results indicate that the proposed model can improve the total online profit of Brand U by 13.46%, which is proven to be an effective solution to dynamic pricing decisions for online retailers.
Keywords:online retailer  dynamic pricing  promotional correlation effect  demand forecast  
本文献已被 万方数据 等数据库收录!
点击此处可从《上海大学学报(自然科学版)》浏览原始摘要信息
点击此处可从《上海大学学报(自然科学版)》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号