When Online Product Recommendations Backfire - Joseph Lajos, Assistant Professor, Marketing Department
Description
The increasing breadth and complexity of information about product features available in the marketplace, especially online, has increased the difficulty of many purchase decisions. In order to assist consumers with these decisions, many websites provide electronic recommendation agents that ask users questions about their intended uses of a product and their preferences for specific product attributes, and then recommend available products on the basis of their responses. In an era in which consumers often feel overwhelmed by the complexity of choice, previous academic research has praised electronic recommendation agents for coming to the rescue by offering a quick and efficient means for consumers to form their consideration sets. However, in this article we report the results of two experiments in which use of an electronic recommendation agent negatively impacted participants’ satisfaction with products that they chose and also reduced their intentions to repurchase from the same brand. The results support our hypothesis that use of an electronic recommendation agent leads consumers to overweight functional product attributes and underweight emotional attributes when making choices, to the detriment of their overall satisfaction with these choice after they have been made. Joseph Lajos, Assistant Professor, Marketing Department, HEC Paris
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