在线搜索和最优产品排名：实证框架

IF 4 2区管理学 Q2 BUSINESS

Marketing Science Pub Date : 2023-12-21 DOI:10.1287/mksc.2022.0071

Giovanni Compiani, Gregory Lewis, Sida Peng, Peichun Wang

引用次数: 0

摘要

本文提出了一个微观基础的、可操作的消费者搜索模型，然后利用该模型优化产品排名，以获得消费者剩余和平台收入。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Online Search and Optimal Product Rankings: An Empirical Framework

This paper proposes a microfounded and tractable model of consumer search, which is then used to optimize product rankings for consumer surplus and platform revenue.

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来源期刊

Marketing Science BUSINESS-

CiteScore

8.60

自引率

10.00%

发文量

期刊介绍： Marketing Science is a publication of the Institute for Operations Research and the Management Sciences (INFORMS) publication (SSCI indexed). We invite authors to submit for peer review their best marketing-oriented research. We accept many types of manuscripts. Please consider us as an author-friendly outlet for your research. We are THE premier journal focusing on empirical and theoretical quantitative research in marketing. Marketing Science promises to provide constructive, fair, and timely reviews with the goal of identifying the best submissions for publication. Topics covered in Marketing Science include the following: -Advertising- Buyer Behavior- Channels- Competitive Strategy- Forecasting- Marketing Research- New Product Development- Pricing and Promotions- Sales Force Management- Segmentation- Services Marketing- Targetability.