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首页> 外文期刊>Information Systems Research >How Often Should Reputation Mechanisms Update a Trader's Reputation Profile?
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How Often Should Reputation Mechanisms Update a Trader's Reputation Profile?

机译：信誉机制应多久更新一次交易者的信誉档案？

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摘要

Reputation mechanisms have become an important component of electronic markets, helping to build trust and elicit cooperation among loosely connected and geographically dispersed economic agents. Understanding the impact of different reputation mechanism design parameters on the resulting market efficiency has thus emerged as a question of theoretical and practical interest. Along these lines, this note studies the impact of the frequency of reputation profile updates on cooperation and efficiency. The principal finding is that, in trading settings with pure moral hazard and noisy ratings, if the per-period profit margin of cooperating sellers is sufficiently high, a mechanism that does not publish every single rating it receives but rather only updates a trader's public reputation profile every k transactions with a summary statistic of a trader's most recent k ratings can induce higher average levels of cooperation and market efficiency than a mechanism that publishes all ratings as soon as they are posted. This paper derives expressions for calculating the optimal profile updating interval k, discusses the implications of this finding for existing systems, such as eBay, and proposes alternative reputation mechanism architectures that attain higher maximum efficiency than the, currently popular, reputation mechanisms that publish summaries of a trader's recent ratings.
机译：信誉机制已成为电子市场的重要组成部分，有助于建立信任并在松散连接和地理位置分散的经济主体之间引发合作。因此，了解不同声誉机制设计参数对所产生的市场效率的影响已成为一个理论和实践兴趣的问题。沿着这些思路，本说明研究了声誉概况更新频率对合作和效率的影响。主要发现是，在具有纯道德风险和嘈杂评级的交易环境中，如果合作卖方的每期利润率足够高，则该机制不会发布所收到的每个评级，而只会更新交易者的公共声誉用交易者最近k个评级的摘要统计来描述每k笔交易，比发布所有评级后立即发布的机制可以诱导更高的平均合作水平和市场效率。本文推导了用于计算最佳配置文件更新间隔k的表达式，讨论了此发现对现有系统（例如eBay）的影响，并提出了替代信誉机制体系结构，该体系结构与发布了有关概要的摘要的当前流行的信誉机制相比，具有更高的最大效率。交易者最近的评级。

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