2009
DOI: 10.2139/ssrn.1150995
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Deriving Value from Social Commerce Networks

Abstract: in St. Louis for their helpful comments and suggestions. They also thank Jeremie Berrebi, Ilan Abehassera, and David Levy for their collaboration. This paper is based on Andrew Stephen's dissertation.

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Cited by 96 publications
(97 citation statements)
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References 39 publications
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“…It would be interesting to investigate whether and how our two subcommunity characterization applies to other user-generated contexts and how our findings about the role of social capital in innovation apply more broadly to the role of social networks (Stephen and Toubia 2010). For example, bloggers typically link to other popular bloggers, and active Facebook users tend to have large social networks.…”
Section: Limitations and Research Opportunitiesmentioning
confidence: 99%
“…It would be interesting to investigate whether and how our two subcommunity characterization applies to other user-generated contexts and how our findings about the role of social capital in innovation apply more broadly to the role of social networks (Stephen and Toubia 2010). For example, bloggers typically link to other popular bloggers, and active Facebook users tend to have large social networks.…”
Section: Limitations and Research Opportunitiesmentioning
confidence: 99%
“…Within a commercial context, social networks offer significant benefits, including the enhancement of economic value for organizations (Stephen & Toubia, 2010). A number of studies have used social networking theory to study the social networks of firms in B2B environments (e.g.…”
Section: Social Network Social Media and Snsmentioning
confidence: 99%
“…Our work is related to the growing empirical literature in marketing on social networking and interaction (e.g., Ansari et al 2011;Stephen and Toubia 2010;Bulte 2007;Hartmann 2010;Nair et al 2010;Katona et al 2011;Iyengar et al 2011). Our work deviates from the social networking literature inasmuch as we consider user sites with large numbers of agents such that any single agent's participation is not likely to have a sizable effect on aggregate content consumption or generation.…”
Section: Literature Reviewmentioning
confidence: 99%