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18 - Designing reputation mechanisms

Published online by Cambridge University Press:  04 November 2009

Chrysanthos Dellarocas
Affiliation:
Professor of Information Systems, University of Maryland, USA
Federico Dini
Affiliation:
Junior Economist, CONSIP Research Unit, Italy
Giancarlo Spagnolo
Affiliation:
Head of the Research Unit at Consip, Italy: Visiting Associate Professor, Stockholm School of Economics
Nicola Dimitri
Affiliation:
Università degli Studi, Siena
Gustavo Piga
Affiliation:
Università degli Studi di Roma 'Tor Vergata'
Giancarlo Spagnolo
Affiliation:
Stockholm School of Economics
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Summary

Introduction

A common problem in procurement is the presence of relevant aspects of an exchange that cannot be fully specified in an explicit contract, because for example they are not verifiable by a third party (like a court or an arbitrator) at reasonable cost. Non-contractibility opens the door to two well-known forms of opportunism: ‘ex-ante’ and ‘post-contracting’ opportunism. Ex-ante opportunism takes place at the supplier selection stage, when the valuation of a good or service by the buyer depends on some unobservable characteristics of the seller or the good/service it provides. This often results in an undesirable matching between buyers and sellers, that is, in situations where a buyer may end up interacting with a seller (or buying a good) that does not have the desired characteristics (e.g., quality), even though sellers (goods) with the desired characteristics are present in the market. Post-contracting opportunism refers to possible opportunistic behaviour of one trading party during the procurement transaction that reduces the welfare of the other; for example, a contractor or a seller who, after having been selected, reduces below the level agreed upon the quality of service (or the effort exerted) on those aspects of the supplied good/service that are difficult or costly to monitor.

Appropriate explicit incentive contracts can partly overcome these informational problems when indicators correlated to the non-contractible features exist. Procured goods and services often present important qualitative aspects that are difficult to specify and enforce contractually and buyers have limited contractual tools to control opportunism.

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Chapter
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Publisher: Cambridge University Press
Print publication year: 2006

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References

Akerlof, G. A. (1970). The Market for Lemons: Quality Uncertainty and the Market Mechanisms, The Quarterly Journal of Economics, 84 (3), 488–500.CrossRefGoogle Scholar
Avery, C., Resnick, P., and Zeckhauser, R.. (1999). The Market for Evaluations, American Economic Review, 89 (3), 564–584.CrossRefGoogle Scholar
Ba, S. and Pavlou, P.. (2002). Evidence of the Effect of Trust Building Technology in Electronic Markets: Price Premiums and Buyers Behaviour, MIS Quarterly, 26 (3), 243–268.CrossRefGoogle Scholar
Bajari, P. and Hortacsu, A.. (2004). Economic Insight from Internet Auctions, Journal of Economic Literature, 62, 457–492.CrossRefGoogle Scholar
Bolton, G. E., E. Katok and A. Ockenfels (2004). How Effective are Online Feedback mechanisms? An Experimental Investigation, Discussion Paper 25–2002, Max Plance Institute for Research into Economic Systems, Jena, Germany.
Cabral, L. and A. Hortacsu. (2004). The Dynamics of Seller Reputation: Theory and Evidence from eBay (April 2004). CEPR Discussion Paper No. 4345. http://ssrn.com/abstract=541161.CrossRef
Cheng, A. and E. Friedman (2005). Sybilproof Reputation Mechanisms, Proceedings of 3d Workshop on the Economics of Peer-2-Peer Systems (P2PECON), Philadelphia, PA.
Chwelos, P. and T. Dhar (2005). Caveat Emptor: Differences in Online Feedback mechanisms, manuscript, Sauder School of Business, University of British Columbia.
Chwelos, P., M. Brydon and I. Benbasat (2005). Fooling Most of the People Most of the Time: Combating Reputation Manipulation on eBay, Working Paper, Sauder School of Business, University of British Columbia. 05-MIS-001.
Cripps, M., Mailath, G. and Samuelson, L.. (2004). Imperfect Monitoring and Impermanent Reputations. Econometrica, 72 (2), 407–432.CrossRefGoogle Scholar
Dellarocas, C. (2000). Immunizing Online Reputation Reporting Systems against Unfair Ratings and Discriminatory Behavior, Proceedings of the 2nd ACM Conference on Electronic Commerce, Minneapolis, MN, 17–20 October.
Dellarocas, C. (2003). The Digitization of the Word of Mouth: Promise and Challenges of Online Feedback Mechanisms, Management Science, 49 (10), 1407–1424.CrossRefGoogle Scholar
Dellarocas, C. (2004). Building Trust On-Line: The Design of Robust Reputation Mechanisms for Online Trading Communities, in Doukidis, G., Mylonopoulos, N. and Pouloudi, N. (Eds.), Information Society or Information Economy? A Combined Perspective on the Digital Era, Idea Book Publishing 95–113.Google Scholar
Dellarocas, C. (2005).Reputation Mechanism Design in Online Trading Environments with Pure Moral Hazard. Information Systems Research 16 (2), June, 209–230.CrossRefGoogle Scholar
Dellarocas, C. (2006). Feedback Mechanisms, in Hendershott, T. (ed.), Handbook of Information Systems and Economics. Elsevier Publishing.Google Scholar
Dellarocas, C. (2007). Strategic Manipulation of Internet Opinion Forums: Implications for Consumers and Firms. Management Science 52 (10), October.Google Scholar
Dewan, S. and Hsu, V.. (2001). Addverse Selection in Reputations-Enabled Electronic Markets: Evidence form Online Stamp Auctions, Journal of Industrial Economic, 52(4), 497–516.CrossRefGoogle Scholar
Dini, F. and G. Spagnolo (2004). Meccanismi Reputazionali per Mercati Elettronici: Problematiche Economiche e Possibili Soluzioni per il Public Procurement, Quaderno Consip N. 2, Novembre (available for download from http://www.consip.it/sc/uff_studi.htm).
Dini, F. and G. Spagnolo (2005). Feedback mechanisms and Electronic Markets: Economic Issues and Proposals for Public Procurement, ch. 12 in Thai, Khi et al. (Eds.), Challenges in Public Procurement: an International Perspective, PrAcademic Press, 227–247.Google Scholar
Dini, F. and G. Spagnolo (2006). Manipulating Soft Performance Indicators in Procurement, Procerding of the 2nd International Public Procurement conference.
Douceur, J. (2002). The Sybil attack. Proceedings of the 1st International Workshop on Peer-to-Peer Systems (IPTPS ’02), Cambridge, MA.CrossRef
Eaton, D. H. (2002). Valuing Information: Evidence from Guitar Auctions on eBay, Working paper 0201, Department of Economics, Murray State University, Murray, KY.
Friedman, E. and Resnick, P.. (2001). The Social Cost of Cheap Pseudonyms, Journal of Economics and Management Strategy, 10 (2), 173–199.CrossRefGoogle Scholar
Gazzale, R. (2005). Giving Gossips Their Due: Information Provision in Games with Private Monitoring. Williams College Working Paper. http://lanfiles.williams.edu/∼rgazzale/research/rgazzale_gossips.pdf
Holmstrom, B.. (1999). Managerial Incentive Problems: A Dynamic Perspective, Review of Economic Studies, 66 (1), 169–182.CrossRefGoogle Scholar
Houser, D. and Wooders, J.. (2006). Reputation in Auctions: Theory and Evidence from eBay, Journal of Economics and Management Strategy, 15(2), 353–396.CrossRefGoogle Scholar
Jin, G. Z. and Kato, A.. (2004). Blind Trust Online: Experimental Evidence from Baseball Cards, Working paper, University of Maryland.Google Scholar
Jurca, R. and B. Faltings (2004). CONFESS: Eliciting Honest Feedback without Independent Verification Authorities. Sixth International Workshop on Agent Mediated Electronic Commerce (AMEC VI 2004), New York, USA, 19 July 2004.
Kalyanam, K. and S. McIntyre. (2001). Returns to Reputation in Online Auction Markets, Retail Workbench Working Paper W-RW01–02, Santa Clara University, Santa Clara, CA.
Kauffman, R. J. and C.Wood (2000). Running up the Bid: Modelling Seller Opportunism in Internet Auctions, Proceedings of The American Conference on Information system (AMCIS 2000). Association for information systems, Long Beach, CA: 929–935.
Klein, T., Lambertz, C., Spagnolo, G., and Stahl, K. (2005). Last Minute Feedback, manuscript, University of Mannheim and Stockholm School of Economics.Google Scholar
Mailath, G.J and Samuelson, L.. (2001). Who Wants a Good Reputation?Review of Economic Studies, 68, 415–441.CrossRefGoogle Scholar
Mayzlin, D. (2006). Promotional Chat on the Internet. Marketing Science, 25 (2), 157–165.CrossRefGoogle Scholar
McDonald, C. G. and Slawson, V. Carlos. 2002. Reputation in an Internet Auction Market, Economic Inquiry, 40, pp. 633–650.CrossRefGoogle Scholar
Melnik, M. I. and Alm, J.. (2002). Does A Seller's eCommerce Reputation Matter? Evidence from eBay Auctions, Journal of Industrial Economics, 50, 337–30.Google Scholar
Miller, N., Resnick, P. and Zeckhauser, R.. (2005). Eliciting Honest Feedback: The Peer-Prediction method, Management Science, 51 (9), 1359–1373.CrossRefGoogle Scholar
Papaioannou, T. and G. D. Stamoulis (2005). ‘An Incentives’ Mechanism Promoting Truthful Feedback in Peer-to-Peer Systems’, in Proceedings of IEEE/ACM CCGRID 2005 (Workshop on Global P2P Computing), May 2005.
Resnick, P., Zeckhauser, R., Friedman, E. and Kuwabara, K.. (2000). ‘Reputation Systems’, Communications ACM, 43 (12), 45–48.CrossRefGoogle Scholar
Resnick, P. and R. Zeckhauser (2002). Trust Among Strangers in Internet Transaction: Empirical Analysis from eBay Reputation Systems, in Baye, Michael R. (Ed.), The Economics of the Internet and E-Commerce, Advances in Applied Microeconomics, vol. 11. JAI Press.Google Scholar
Yin, P. (2003). Information dispersion and auctions prices, Working Paper, Harvard Business School.

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