Electronic word of mouth systems and acceptance of user-generated contents

DonHee Lee, Seong No Yoon, Hae Yeon Choi and Yonpae Park

International Journal of Information and Decision Sciences, 2011, vol. 3, issue 1, 54-69

Abstract: Web 2.0 has enabled businesses, especially online retailers, to provide new services to enhance customer value and to increase sales. A notable example of these services or technologies is the online product recommendation system that serves to reduce consumer search costs and risks associated with the purchase of unfamiliar products. Electronic word-of-mouth systems (EWOMS) are online product recommendation systems that allow consumers to electronically post information in the form of product reviews and/or product ratings. This study examines the effects of EWOMS on consumers' acceptance of product recommendations. The proposed research model is developed based on the accessibility-diagnosticity model and source credibility theory. A lab experiment was conducted to empirically test hypotheses. The study found that information diagnosticity, informant trustworthiness, and perceived usefulness are critical factors for consumers' acceptance of recommendations based on EWOMS.

Keywords: product recommendation systems; electronic word of mouth; information diagnosticity; user-generated contents; user-generated ratings; product reviews; product ratings; accessibility-diagnosticity model; source credibility theory; trustworthiness; perceived usefulness; consumer acceptance; Web 2.0. (search for similar items in EconPapers)
Date: 2011
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