An Optimal Method For Product Selection By Using Online Ratings And Considering Search Costs

摘要：

　　With the collecting and publishing data about consumers purchasing and browsing products at the platform of online, this data prodives new ways to better understand the consumers search behavior before purchase.How to base on consumers online search behavior and simutaneously consider offline experience costs is worth studying.An optimal method based on the utility of the attribute of product is proposed.The proposed method follows steps below.Firstly, based on the multi-attribute utility theory, the overall utility of product is calculated by using ratings data.Secondly, the overall utility is combined into the original sequential search model to find the optimal selection strategy.Thirdly, the candidate product sets arranged in descending order of the reservation utilities are finally obtained.Finally, taking the online ratings data provided by a comprehensive automobile website as an example, lastly the proposed method is simulated and compared with other method.The result shows that the proposed method is feasible and effective.

关键词： sequential search model multi-attribute utility theory product selection strategy earch cost

作者: Zhouyang Liang Meihua Zuo Yonghua Zuo Hui Zhu Mengting Fan Mingjun Zhan

作者单位: School of Management, Guangdong University of Technology, Guangzhou, 510520, China Huizhou University, Huizhou, 516000, China;School of Management, Guangdong University of Technology, School of Mathematics and Information Science, Jiangxi Normal University,Nanchang, 330022, China School of Management, Guangzhou University, Guangzhou, 510006, China

会议类型: 国际会议

会议名称: The Eighteenth Wuhan International Conference on E-Business(第18届武汉电子商务国际会议)

会议地点: 武汉

会议语种:英文

页码: 509-516

在线出版日期: 2019-05-24（万方平台首次上网日期，不代表论文的发表时间）