2006
DOI: 10.1002/mar.20119
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Herding in online product choice

Abstract: Previous research has shown that people are influenced by others when making decisions. This work presents three studies examining herding in product choices on the Internet. The first two studies addressed how two cues frequently found on the Internet, that is, sales volume and customer reviews, influence consumer on-line product choices. The third study examined the relative effectiveness of two recommendation sources. The experimental results revealed that subjects used the choices and evaluations of others… Show more

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Cited by 343 publications
(259 citation statements)
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References 40 publications
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“…We compare our ndings with Gowrisankaran and Rysman (2009) who also estimated demand parameters in the camcorder category. Our nding on consumer sensitivity to pixel is consistent 22 Past literature supports theory-driven empirical specication (Boatwright et al 1999). However, we also estimate the proposed empirical model without the sign restriction on the price coecient, treating it as a normally distributed random variable with mean and variance.…”
Section: Parameter Estimatessupporting
confidence: 90%
See 1 more Smart Citation
“…We compare our ndings with Gowrisankaran and Rysman (2009) who also estimated demand parameters in the camcorder category. Our nding on consumer sensitivity to pixel is consistent 22 Past literature supports theory-driven empirical specication (Boatwright et al 1999). However, we also estimate the proposed empirical model without the sign restriction on the price coecient, treating it as a normally distributed random variable with mean and variance.…”
Section: Parameter Estimatessupporting
confidence: 90%
“…Given the popularity and ubiquity of recommendations at many online stores, it is of practical and academic interest to investigate how recommendations aect the consumer information and product search decisions. In behavioral work, Huang and Chen (2006) report that the recommendations of other consumers inuence the choices of subjects more eectively than recommendations from an expert. Senecal and Nantel (2004) also show that retailer recommendations will signicantly aect demand.…”
Section: Introductionmentioning
confidence: 99%
“…Prior work has also shown that consumers are influenced by the actions of others because they believe others' decisions reflect information that they do not possess (e.g., Banerjee 1992;Burnkrant and Cousineau 1975;Huang and …”
Section: Disorganized Shelves Can Increase Perceptions Of Popularitymentioning
confidence: 99%
“…Not surprisingly, negative reviews, messages, or rumors hurt product evaluations and reduce purchase likelihood and sales (Huang and Chen 2006;Wyatt and Badger 1984;Tybout, et al 1981). Quantitative work has investigated how reviews influence sales.…”
Section: Negative Effcts Of Negative Informationmentioning
confidence: 99%