Partial‐depth search and search pattern comparisons

Author:

Liu Lin12,Wang X. Henry3ORCID,Shen Tongyuan4ORCID

Affiliation:

1. School of Economics and Management Beihang University China

2. Laboratory for Low‐carbon Intelligent Governance (LLIG) Beihang University Beijing China

3. Department of Economics University of Missouri‐Columbia United States

4. Department of Economics and Management Beihang University China

Abstract

AbstractThis paper compares consumers' optimal search behaviors and firms' strategic reactions in prices under two modes of search: parallel search and sequential search, with the incorporation of partial search depth that measures the amount of information to evaluate a product. Our analysis shows a series of new results: when products are partially evaluated, search depth is greater under sequential search than under parallel search; consumers search for (on average) more products either under parallel search or sequential search, depending on whether partial‐depth search is chosen; the equilibrium price is higher under parallel (sequential) search when search costs are high (low). Interestingly, parallel search might yield higher equilibrium prices with more products searched, compared with sequential search. This challenges the conventional wisdom in the search literature that more products searched lower prices because of the intensified competition.

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Management of Technology and Innovation,Management Science and Operations Research,Strategy and Management,Business and International Management

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3