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http://ssrn.com/abstract=1028165
 
 

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To Continue Sharing or Not to Continue Sharing? – An Empirical Analysis of User Decision in Peer-to-Peer Sharing Networks


Mu Xia


Santa Clara University - Operations and Management Information Systems

Yun Huang


Northwestern University - Department of Industrial Engineering and Management Sciences; University of Texas at Austin - Department of Information, Risk and Operations Management

Wenjing Duan


George Washington University - School of Business

Andrew B. Whinston


University of Texas at Austin - Department of Information, Risk and Operations Management

November 5, 2007

Information Systems Research, 23(1), March 2012, pp. 247-259.

Abstract:     
Peer-to-peer sharing networks have seen explosive growth recently. In these networks, sharing files is completely voluntary, and there is no financial reward for users to contribute. Yet many users continue to share despite the massive free-riding by others. Using a large-scale dataset of individual activities in a peer-to-peer music-sharing network, we seek to understand users’ continued-sharing behavior as a private contribution to a public good. We find that the more benefit users “get from” the network, in the form of downloads, browses, and searches, the more likely they are to continue sharing. Also, the more value users “give to” the network, in the form of downloads by other users and recognition by the network, the more likely they are to continue sharing. Moreover, our findings suggest that, overall, “getting-from” is a stronger force for the continued-sharing decision than “giving-to.”

Number of Pages in PDF File: 32

Keywords: Online sharing community, implicit community, IRC, voluntary contribution, music sharing

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Date posted: November 7, 2007 ; Last revised: November 7, 2012

Suggested Citation

Xia, Mu and Huang, Yun and Duan, Wenjing and Whinston, Andrew B., To Continue Sharing or Not to Continue Sharing? – An Empirical Analysis of User Decision in Peer-to-Peer Sharing Networks (November 5, 2007). Information Systems Research, 23(1), March 2012, pp. 247-259.. Available at SSRN: http://ssrn.com/abstract=1028165 or http://dx.doi.org/10.2139/ssrn.1028165

Contact Information

Mu Xia (Contact Author)
Santa Clara University - Operations and Management Information Systems ( email )
500 El Camino Real
Santa Clara, CA 95053
United States
408-554-4052 (Phone)
Yun Huang
Northwestern University - Department of Industrial Engineering and Management Sciences ( email )
Evanston, IL 60208-3119
United States
University of Texas at Austin - Department of Information, Risk and Operations Management ( email )
CBA 5.202
Austin, TX 78712
United States
Wenjing Duan
George Washington University - School of Business ( email )
2121 I Street NW
Washington, DC 20052
United States
Andrew B. Whinston
University of Texas at Austin - Department of Information, Risk and Operations Management ( email )
CBA 5.202
Austin, TX 78712
United States
512-471-8879 (Phone)
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References:  52
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