Consumer search: What can we learn from pre-purchase data?-Reference-Cited by-同舟云学术

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Consumer search: What can we learn from pre-purchase data?

Published:2024-03 Issue:1 Volume:100 Page:114-129
ISSN:0022-4359
Container-title:Journal of Retailing
language:en
Short-container-title:Journal of Retailing

Author:

Honka Elisabeth^ORCID,Seiler Stephan^ORCID,Ursu Raluca^ORCID

Publisher

Elsevier BV

Reference93 articles.

1. Marketing models of consumer heterogeneity;Allenby;J. Econom.,1999

2. Flexible demand estimation with search data;Amano,2022

3. Advertising content;Anderson;Am. Econ. Rev.,2006

4. The advertising mix for a search good;Anderson;Manage. Sci.,2013

5. Armona, L., Lewis, G., & Zervas, G. (2021). Learning product characteristics and consumer preferences from search data. Working Paper.

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Household and retail panel data in retailing research: Time for a renaissance?;Journal of Retailing;2024-03

2. (New) Data sources in retailing: Opportunities and challenges;Journal of Retailing;2024-03

3. Consumer search patterns in online retailing;2024

4. Product Badges and Consumer Choice on Digital Platforms;2024

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