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Quantifying Cross and Direct Network Effects in Online C2C Platforms

dc.contributor.authorManchanda, Puneet
dc.contributorChu, Junhong
dc.date.accessioned2014-09-23T16:16:23Z
dc.date.available2014-09-23T16:16:23Z
dc.date.issued2015-11
dc.identifier1248en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/108494
dc.description.abstractConsumer-to-Consumer (C2C) platforms have become a major engine of growth in Internet commerce. This is especially true in countries such as China, which are experiencing a big rush towards electronic commerce. The emergence of such platforms gives researchers the unique opportunity to investigate the evolution of such platforms by focusing on the growth of both buyers and sellers. In this research, we build a utility-based model to quantify both cross and direct network effects on Alibaba Group’s Taobao.com, the world’s largest online C2C platform (based in China). Specifically, we investigate the relative contributions of different factors that affect the growth of buyers and sellers on the platform. Our results suggest that the direct network effects do not play a big role in the platform’s growth (we detect a small positive direct network effect on buyer growth and no direct network effect on seller growth). More importantly, we find a significant, large and positive cross-network effect on both sides of the platform. In other words, the installed base of either side of the platform has propelled the growth of the other side (and thus the overall growth). Interestingly, this cross-network effect is asymmetric with the installed base of sellers having a much larger effect on the growth of buyers than vice versa. The growth in the number of buyers is driven primarily by the seller’s installed base and product variety with increasing importance of product variety. The growth in the number of sellers is driven by buyer’s installed base, buyer quality, and product price with increasing importance of buyer quality. We also investigate the nature of these cross-network effects over time. We find that the cross-network effect of sellers on buyers increases and then decreases to reach a stable level. In contrast, the cross-network effect of buyers on sellers is relatively stable. We discuss the policy implications of these findings for C2C platforms in general and Taobao in particular.en_US
dc.subjectPlatformsen_US
dc.subjectTwo-sided marketsen_US
dc.subjectCross-network effecten_US
dc.subjectEmerging marketsen_US
dc.subjectChinaen_US
dc.subjectAlibabaen_US
dc.subjectTaobaoen_US
dc.subject.classificationMarketingen_US
dc.titleQuantifying Cross and Direct Network Effects in Online C2C Platformsen_US
dc.typeWorking Paperen_US
dc.subject.hlbsecondlevelMarketingen_US
dc.subject.hlbtoplevelBusiness
dc.contributor.affiliationumRoss School of Businessen_US
dc.contributor.affiliationotherNUS Business Schoolen_US
dc.contributor.affiliationumcampusAnn Arbor
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/108494/1/1248_Manchanda.pdf
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/108494/4/1248_Manchanda_Mar2015.pdf
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/108494/6/1248_Manchanda_Sept2015.pdf
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/108494/8/1248_Manchanda_Nov2015.pdf
dc.description.filedescriptionDescription of 1248_Manchanda_Sept2015.pdf : September 2015 revision
dc.description.filedescriptionDescription of 1248_Manchanda_Mar2015.pdf : March 2015 Revision
dc.description.filedescriptionDescription of 1248_Manchanda_Nov2015.pdf : November 2015 revision
dc.owningcollnameBusiness, Stephen M. Ross School of - Working Papers Series


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