Abstract

http://ssrn.com/abstract=585402
 
 

References (37)



 
 

Citations (6)



 


 



Self-Interest, Reciprocity, and Participation in Online Reputation Systems


Chrysanthos Dellarocas


Boston University - Department of Management Information Systems

Ming Fan


University of Washington - Michael G. Foster School of Business

Charles A. Wood


Duquesne University; Unviersity of Notre Dame

February 2004


Abstract:     
Reputation systems are emerging as an increasingly important component of online communities, helping elicit good behavior and cooperation among loosely connected and geographically dispersed economic agents. A deeper understanding of the factors that drive voluntary online feedback contribution is crucial to the long-term viability of such systems and of the online communities that rely on them. This paper contributes in this direction by offering what we believe to be the first in-depth study of the motivations of trader participation in eBay's reputation system. To examine these questions, we analyze data from 51,452 eBay rare coin auctions. We find evidence suggesting that the high levels (50-70%) of voluntary online feedback contribution on eBay are not strongly driven by pure altruism. Rather, we analytically and empirically demonstrate that the expectation of reciprocal behavior from partners increases reputation system participation from self-interested eBay buyers and sellers. We develop a random effects probit model that sheds light on the drivers of feedback submission in individual transactions, and find that participation levels rise, then decline as users accumulate experience within the eBay community.

Number of Pages in PDF File: 37

Keywords: Online Community, Reputation Systems, Altruism, Reciprocity, Self-interest

JEL Classification: D82, H41, L14, L15

Accepted Paper Series


Download This Paper

Date posted: August 30, 2004  

Suggested Citation

Dellarocas, Chrysanthos and Fan, Ming and Wood, Charles A., Self-Interest, Reciprocity, and Participation in Online Reputation Systems (February 2004). MIT Sloan Working Papers No. 4500-04. Available at SSRN: http://ssrn.com/abstract=585402

Contact Information

Chrysanthos N. Dellarocas (Contact Author)
Boston University - Department of Management Information Systems ( email )
595 Commonwealth Avenue
Boston, MA 02215
United States
Ming Fan
University of Washington - Michael G. Foster School of Business ( email )
Box 353200
Seattle, WA 98195-3200
United States
Charles A. Wood
Duquesne University ( email )
United States
Unviersity of Notre Dame ( email )
United States
Feedback to SSRN


Paper statistics
Abstract Views: 6,251
Downloads: 757
Download Rank: 17,048
References:  37
Citations:  6

© 2014 Social Science Electronic Publishing, Inc. All Rights Reserved.  FAQ   Terms of Use   Privacy Policy   Copyright   Contact Us
This page was processed by apollo4 in 0.344 seconds