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The Influence of Online Product Recommendations on Consumers' Online Choices

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The Influence of Online Product Recommendations on Consumers' Online Choices
Journal of Retailing 80 (2004) 159–169

The influence of online product recommendations on consumers’ online choices
Sylvain Senecal a,∗ , Jacques Nantel a,1 a HEC Montreal, University of Montreal, 3000 Chemin de la Cote-Sainte-Catherine, Montreal, Que., Canada H3T 2A7

Abstract This study investigates consumers’ usage of online recommendation sources and their influence on online product choices. A 3 (websites) × 4 (recommendation sources) × 2 (products) online experiment was conducted with 487 subjects. Results indicate that subjects who consulted product recommendations selected recommended products twice as often as subjects who did not consult recommendations. The online recommendation source labeled “recommender system,” typical of the personalization possibilities offered by online retailing, was more influential than more traditional recommendation sources such as “human experts” and “other consumers”. The type of product also had a significant influence on the propensity to follow product recommendations. Theoretical and managerial implications of these findings are provided. © 2004 by New York University. Published by Elsevier. All rights reserved.
Keywords: Online product; Recommendation; Consumers

Introduction Among all possible advantages offered by electronic commerce to retailers, the capacity to offer consumers a flexible and personalized relationship is probably one of the most important (Wind & Rangaswamy, 2001). Online personalization offers retailers two major benefits. It allows them to provide accurate and timely information to customers which, in turn, often generates additional sales (Postma & Brokke, 2002). Personalization has also been shown to increase the level of loyalty consumers hold toward a retailer (Cyber Dialogue, 2001; Srinivasan, Anderson, & Ponnavolu, 2002). While there are several ways to personalize an online relationship, the capacity for an online retailer to make recommendations is certainly among the most promising



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