Trust among strangers in internet transactions: Empirical analysis of eBay' s reputation system

Trust among strangers in internet transactions: Empirical analysis of eBay' s reputation system
复制标题

DOI:
10.1016/s0278-0984(02)11030-3
复制
发表时间:
2002-10
期刊:
--
影响因子:
--
通讯作者:
P. Resnick;R. Zeckhauser
P. Resnick;R. Zeckhauser
中科院分区:
其他
文献类型:
--
作者:
P. Resnick;R. Zeckhauser

文献摘要

被引文献

相似文献

最早和最知名的互联网声誉系统之一是由eBay运营的,该系统在每次交易后收集买家和卖家对彼此的评论。对1999年以来的一个大型数据集的研究揭示了几个有趣的特征。首先,尽管有免费搭便车的激励措施,但超过一半的时间都提供了反馈。其次,它几乎总是积极的,远远超出了合理的预期。第三,声誉档案是对未来业绩的预测,尽管eBay的净反馈统计数据远不是可用的最佳预测指标。第四,买家和卖家的反馈之间存在高度的相关性,这表明玩家会进行回报和报复。
One of the earliest and best known Internet reputation systems is run by eBay, which gathers comments from buyers and sellers about each other after each transaction. Examination of a large data set from 1999 reveals several interesting features. First, despite incentives to free ride, feedback was provided more than half the time. Second, well beyond reasonable expectation, it was almost always positive. Third, reputation profiles were predictive of future performance, though eBay's net feedback statistic is far from the best predictor available. Fourth, there was a high correlation between buyer and seller feedback, suggesting that the players reciprocate and retaliate.