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143

臺大管理論叢

28

卷第

1

smaller than that of a broad-appeal product. This suggests the same kind of quality

inference may lead to different purchase behavior when taking the congruency of different

types of popularity information into consideration. Nevertheless, while the quality

evaluation seems to be the dominant inference in this field, Salganik, Dodds, and Watts’s

(2006) research results showed that a product’s quality may not necessarily lead to a

product’s success in sales, suggesting that product quality is not the only dominant

inference when viewing popularity information. Instead, an alternative social-related

inference may drive consumers to alter purchase decisions (Sridhar and Srinivasan, 2012).

However, to the best of our knowledge, little research has empirically investigated

popularity information based on the social-related inference.

Therefore, this research intends to fill in the gap by extending the prior work in

several ways. First, it further explores the effect of popularity information based on a

social-related inference - social comparison, which is a prominent kind of social influence

on every human being. Second, the research makes direct comparisons between different

inferences (i.e., quality evaluation vs. social comparison) and examines how these

inferences moderate the relationship between popularity information and online purchases.

Third, the researchers investigate how the congruency of two types of commonly

coexisting popularity information— sales volume and breadth of appeal, jointly impact

consumers’ online purchases. We believe two dominant inferences (i.e., quality evaluation

vs. social comparison) may impact the conditions of congruence and incongruence

differently and thus lead to different purchase decisions in e-commerce. The contributions

of this research should allow the power of popularity information to be more broadly

applied to different conditions and provide meaningful recommendations for e-commerce

on how to strategically highlight popularity information for products with different

breadth of appeal.

2. Literature Review

Popularity information is an indicator that reflects the preferences of earlier

consumers (Duan, Gu, and Whinston, 2009), and can be displayed in different formations.

Firstly, a product’s sales volume reflects consumer’s actual purchase decision, and is

usually displayed in a numeric format (Gu, Tang, and Whinston, 2013). Second, a

product’s natural breadth of appeal refers to the range of consumers’ tastes, suggesting a

product’s potential sales conducive to consumers’ preferences (Tucker and Zhang, 2011).

A broad-appeal product caters to a broad range of tastes and therefore enjoys a higher