The Demand Effect of Product Similarity Network.
PACIS(2017)
摘要
With the increasing popularity of product assortments by recommendation system, how
online seller manage the links of products seems important. As the similar products that are
viewed together in product’s search pages, we study the economic effects of the similar
products network. In this study, we construct the similarity network by using data from
Taobao.com. We apply Cross-sectional data models to examine the spillover effect of reviews
from the similar product, additionally how characters of network moderate this effect for
three product categories. We find that the semantic similarity of similar product’s review
has a negative impact on focal product’s sale. The more similar in context, the more
substitutable of the product. Furthermore, the volume and price of similar product also have
influence on the demand. From the view of network characteristics, we find that the indegree
of a product, clustering coefficient and density of the incoming network also has an
impact on the demand.
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