Neighborhood Social Capital and Social Learning for Experience Attributes of Products

Jae Young Lee, Yonsei University, South Korea, David R. Bell, Wharton School, University of Pennsylvania

Marketing Science, Volume 32, pp 960-976

Abstract: “Social learning” can occur when information is transferred from existing customers to potential customers. It is especially important in cases where the information that is conveyed pertains to experience attributes, i.e., attributes of products that cannot be fully verified prior to the first purchase. Experience attributes are prevalent and salient when consumers shop through catalogs, home shopping networks, and over the Internet. Firms therefore employ creative and sometimes costly methods to help consumers resolve uncertainty; we argue that uncertainty can be partially resolved through social learning processes that occur “naturally” and emanate from local neighborhood characteristics. Using data from, a leading US online fashion retailer, we find that local social learning not only facilitates customer trial, but also that the effect is economically important as about half of all trials were partially attributable to it. Merging data from the Social Capital Community Benchmark Survey we find that “neighborhood social capital”, i.e., the propensity for neighbors to trust each other and communicate with each other, enhances the social learning process, and makes it more efficient. Social capital does not operate on trials directly; rather, it improves the learning process and therefore indirectly drives sales when what is communicated is favorable.

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