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Industrial and Corporate Change
Article . 2018 . Peer-reviewed
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A trick of the tail: the role of social networks in shaping distributional properties of experience-good markets

Authors: Zakaria Babutsidze; Zakaria Babutsidze; Marco Valente;

A trick of the tail: the role of social networks in shaping distributional properties of experience-good markets

Abstract

The diffusion of social media has radically changed the number of peers with whom consumers interact with when making a decision. While consumption decisions depend on many factors, such as prices, qualities, distribution channels, and marketing, in this article, we study the effects of a single aspect: the role of the number of social connections in shaping consumers’ decisions. We present an agent-based simulation model where virtual consumers respond solely to information provided by peers from their social network. We obtain that increasing the number of connections consumers rely upon to gather information changes radically the distributional properties of markets where consumers cannot obtain direct information about the available options, such as experience goods. In particular, we show that increasing the number of connections among consumers increases the concentration of the top- and low-end market share options, sharply decreasing the number of “midsized” options. This effect is in line with evidence from markets for movies and music, which rely heavily on information gathered through peers.

Keywords

Consumer economics, Social network, Communication, Simulation model, jel: jel:C63, jel: jel:D83, jel: jel:D12

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Top 10%
Average
Top 10%
hybrid
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