1
IRUS TotalDownloads
Altmetric
Consumer search: what can we learn from pre-purchase data?
File | Description | Size | Format | |
---|---|---|---|---|
1-s2.0-S0022435924000034-main (1).pdf | Published version | 702.12 kB | Adobe PDF | View/Open |
Title: | Consumer search: what can we learn from pre-purchase data? |
Authors: | Honka, E Seiler, S Ursu, R |
Item Type: | Journal Article |
Abstract: | Researchers are increasingly able to observe consumers’ behavior prior to a purchase, such as their navigation through a store or website and the products they consider. Such pre-purchase (or search) data can be valuable to researchers in a variety of ways: as an additional source of information to estimate consumer preferences, to understand how firms can influence the search process through marketing mix variables, and to analyze how limited information about products affects equilibrium market outcomes. We provide an overview of these three research areas with a particular emphasis on online and offline retailing. |
Issue Date: | Mar-2024 |
Date of Acceptance: | 1-Mar-2024 |
URI: | http://hdl.handle.net/10044/1/110115 |
DOI: | 10.1016/j.jretai.2024.02.003 |
ISSN: | 0022-4359 |
Publisher: | Elsevier |
Start Page: | 114 |
End Page: | 129 |
Journal / Book Title: | Journal of Retailing |
Volume: | 100 |
Issue: | 1 |
Copyright Statement: | © 2024 The Author(s). Published by Elsevier Inc. on behalf of New York University. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/) |
Publication Status: | Published |
Online Publication Date: | 2024-03-02 |
Appears in Collections: | Imperial College Business School |
This item is licensed under a Creative Commons License