Effects of Online Product Review Characteristics on Information Adoption

As online product reviews (eWOM) become increasingly important in affecting online consumer decisions, it is critical to develop insights into consumer behavior of using eWOM. This paper examines how eWOM characteristics impact consumers’ use of online product reviews for purchase decisions. We deve...

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Bibliographic Details
Published inBig Data Analytics for Cyber-Physical System in Smart City Vol. 1303; pp. 214 - 220
Main Authors Qu, Lianzhuang, Zhang, Yao, Sun, Fengjun
Format Book Chapter
LanguageEnglish
Published Singapore Springer 2021
Springer Singapore
SeriesAdvances in Intelligent Systems and Computing
Subjects
Ease of use
EWOM adoption
EWOM diagnosticity
Online AccessGet full text
ISBN9789813345737
981334573X
ISSN2194-5357
2194-5365
DOI10.1007/978-981-33-4572-0_31

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Summary:As online product reviews (eWOM) become increasingly important in affecting online consumer decisions, it is critical to develop insights into consumer behavior of using eWOM. This paper examines how eWOM characteristics impact consumers’ use of online product reviews for purchase decisions. We develop a theoretical model drawing on the information adoption model and the information systems success model. We conduct a lab experiment to collect data and carry out our PLS-SEM analysis with Smart PLS. We find that eWOM characteristics influence consumer decisions via diagnosticity and ease of use. This research enhances our understandings on how eWOM characteristics influence consumer decisions. In addition, we apply the information adoption model and the information systems success model to the context of eWOM.
ISBN:9789813345737
981334573X
ISSN:2194-5357
2194-5365
DOI:10.1007/978-981-33-4572-0_31