The effects of consumer knowledge on message processing of electronic word-of-mouth via online consumer reviews

Authors:
Do-Hyung Park;Sara Kim
Affiliations:
KAIST (Korea Advanced Institute of Science and Technology) Business School, 207-43 Cheongrangri-Dong, Dongdaemun-Gu, Seoul 130-722, South Korea;University of Chicago, Chicago, IL, United States
Venue:
Electronic Commerce Research and Applications
Year:
2008

Citing 8
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Abstract

This paper investigates one type of electronic word-of-mouth (eWOM), the online consumer review. The study considers two components of review structure: the type and the number of reviews. Using the cognitive fit theory, we show that the type of reviews can be a key moderating variable to explain the inconsistent relationship between consumer expertise and WOM in previous research. This study examines which type of reviews cognitively fits consumers with a high (low) level of expertise. Using the elaboration likelihood model (ELM), we also investigate that the effects of the type of reviews and the number of reviews. The hypotheses were tested using a 2 (levels of expertise)x2 (types of reviews)x2 (number of reviews) mixed design including two control conditions. The results show that the effect of cognitive fit (the type of reviews) on purchase intention is stronger for experts than for novices while the effect of the number of reviews on purchase intention is stronger for novices than experts. This paper delivers managerial implications for online sellers providing consumer created reviews along with advertisements.