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Recommender systems are an integral part of the online retail environment. Prior research has focused largely on computational approaches to improving recommendation accuracy, and only recently researchers have started to study their behavioral implications and potential side effects. We used...
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Online recommendation systems recommend products with widely different prices than that of their focal products. While conventional wisdom suggests that consumers may prefer lower priced recommendations, prior literature also indicates that consumers may not accept such products if their prices...
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With the growth of ecommerce and social networking, consumers can access detailed product information and user online reviews about a product of interest as cues to judgments. While cognitively processing such rich information, people experience meta-cognitive feelings of subjective ease or...
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By the end of 2016 about 653 million people in the Asia Pacific region are expected to buy goods and services online. Out of these, a large chunk of customers will be from India. E-commerce is one of the fastest growing sectors in this region. According to the Associated Chambers of Commerce and...
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