The Nature and Role of Feedback Text Comments in Online Marketplaces: Implications for Trust Building, Price Premiums, and Seller Differentiation 论文

2006Information Systems Research引用 924
Auction Theory and ApplicationsExperimental Behavioral Economics StudiesBlockchain Technology Applications and Security

详细信息

发表期刊/会议
Information Systems Research
发表日期
2006-12-01
发表年份
2006

关键词

Auction Theory and ApplicationsExperimental Behavioral Economics StudiesBlockchain Technology Applications and Security

摘要

For online marketplaces to succeed and prevent a market of lemons, their feedback mechanism (reputation system) must differentiate among sellers and create price premiums for trustworthy sellers as returns to their reputation. However, the literature has solely focused on numerical (positive and negative) feedback ratings, alas ignoring the role of feedback text comments. These text comments are proposed to convey useful reputation information about a seller’s prior transactions that cannot be fully captured with crude numerical ratings. Building on the economics and trust literatures, this study examines the rich content of feedback text comments and their role in building a buyer’s trust in a seller’s benevolence and credibility. In turn, benevolence and credibility are proposed to differentiate among sellers by influencing the price premiums that a seller receives from buyers. This paper utilizes content analysis to quantify over 10,000 publicly available feedback text comments of 420 sellers in eBay’s online auction marketplace, and to match them with primary data from 420 buyers that recently transacted with these 420 sellers. These dyadic data show that evidence of extraordinary past seller behavior contained in the sellers’ feedback text comments creates price premiums for reputable sellers by engendering buyer’s trust in the sellers’ benevolence and credibility (controlling for the impact of numerical ratings). The addition of text comments and benevolence helps explain a greater variance in price premiums (R 2 = 50%) compared to the existing literature (R 2 = 20%–30%). By showing the economic value of feedback text comments through trust in a seller’s benevolence and credibility, this study helps explain the success of online marketplaces that primarily rely on the text comments (versus crude numerical ratings) to differentiate among sellers and prevent a market of lemon sellers. By integrating the economics and trust literatures, the paper has theoretical and practical implications for better understanding the nature and role of feedback mechanisms, trust building, price premiums, and seller differentiation in online marketplaces.

相关技术

暂无数据

相关事件

暂无数据

相关文章

暂无数据