Title:
The role of online reviews in consumer decision-making

dc.contributor.advisor Zhang, Han
dc.contributor.advisor Yin, Dezhi
dc.contributor.author Lei, Zhanfei
dc.contributor.committeeMember Mitra, Sabyasachi
dc.contributor.committeeMember Overby, Eric
dc.contributor.committeeMember Narasimhan, Sridhar
dc.contributor.department Business
dc.date.accessioned 2020-09-08T12:41:03Z
dc.date.available 2020-09-08T12:41:03Z
dc.date.created 2019-08
dc.date.issued 2019-07-16
dc.date.submitted August 2019
dc.date.updated 2020-09-08T12:41:03Z
dc.description.abstract As a prominent form of user-generated content, online reviews have become increasingly indispensable for consumers to make purchase decisions. Thus, it is critical to understand what sets helpful reviews apart from unhelpful ones, which kinds of reviews consumers prefer to read, and how online reviews shape consumers’ purchase decisions. Prior research has examined diverse determinants of review helpfulness and the effect of summary rating statistics on product sales. However, few studies have examined the impact of reviewers’ writing styles on review helpfulness, explored the critical role of consumers’ initial beliefs before they read and evaluate reviews, or investigated the likelihood of individual reviews to sway consumers’ purchase decisions. Addressing these important gaps and scrutinizing commonly accepted assumptions, my dissertation aims to explore how, why, and when various aspects of online reviews influence consumers’ judgment of review helpfulness, preference in information seeking, and purchase decisions.
dc.description.degree Ph.D.
dc.format.mimetype application/pdf
dc.identifier.uri http://hdl.handle.net/1853/63534
dc.language.iso en_US
dc.publisher Georgia Institute of Technology
dc.subject Perceived review helpfulness
dc.subject Selective exposure
dc.subject Decision-making process
dc.subject Online reviews
dc.subject Online word-of-mouth
dc.title The role of online reviews in consumer decision-making
dc.type Text
dc.type.genre Dissertation
dspace.entity.type Publication
local.contributor.advisor Zhang, Han
local.contributor.corporatename Scheller College of Business
relation.isAdvisorOfPublication f9807145-0abc-4234-8e19-e79346fe333c
relation.isOrgUnitOfPublication a2f83831-ae41-4d65-82ff-c8bf95db4ffb
thesis.degree.level Doctoral
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
LEI-DISSERTATION-2019.pdf
Size:
1.91 MB
Format:
Adobe Portable Document Format
Description:
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
LICENSE.txt
Size:
3.86 KB
Format:
Plain Text
Description: