Signaling theory and information asymmetry in online commerce

被引:286
作者
Mavlanova, Tamilla
Benbunan-Fich, Raquel [1 ]
Koufaris, Marios [1 ]
机构
[1] CUNY, Baruch Coll, Zicklin Sch Business, New York, NY 10010 USA
关键词
Signaling theory; Information asymmetry; Adverse selection; Moral hazard; Website signals; PRODUCT QUALITY; BUSINESS;
D O I
10.1016/j.im.2012.05.004
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
An e-business environment results in information asymmetry because buyers cannot physically evaluate the quality of products and easily assess the trustworthiness of sellers. Product and seller quality are communicated through website signals. Using signaling theory, we developed a three-dimensional framework to classify website signals. We empirically tested the framework with a comparative content analysis of websites from a sample of online pharmacies. We found that low-quality sellers were likely to avoid costly and easy-to-verify signals and used fewer signals than did high-quality sellers, who used costly and difficult-to-verify signals and displayed more signals. These results provide information to online buyers and regulatory institutions in charge of online retailer evaluation. (C) 2012 Elsevier B.V. All rights reserved.
引用
收藏
页码:240 / 247
页数:8
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