用户生成的内容
估价(财务)
业务
营销
产品(数学)
质量(理念)
偏爱
用户创新
微观经济学
计算机科学
经济
社会化媒体
数学
万维网
哲学
认识论
几何学
财务
作者
Young Kwark,Jianqing Chen,Srinivasan Raghunathan
出处
期刊:Management Science
[Institute for Operations Research and the Management Sciences]
日期:2017-10-20
卷期号:64 (10): 4608-4628
被引量:83
标识
DOI:10.1287/mnsc.2017.2839
摘要
Firms employ various techniques to obtain information about consumer taste/location and valuation prior to making product design decisions. User-generated content has become an important information source. The vast variety and volume of user-generated content makes firms better informed about consumers (precision-improving effect), and the common and public nature of user-generated content makes firms’ information more correlated (correlation-increasing effect). We examine the impact of user-generated content in a setting in which two competing firms that are uncertain about consumer location or valuation design and sell horizontally differentiated products. We find that user-generated content has very different implications for competing firms’ location decisions and quality decisions. When firms are uncertain about consumer taste and choose their product locations, whether firms and/or consumers benefit from the user-generated content depends on which of the two effects dominates. We find that only when the correlation-increasing effect is moderate, a win–win scenario for both firms and consumers occurs, but the society always benefits from user-generated content. Stronger consumer preference strengthens the overall impact of user-generated content. In sharp contrast, when firms face uncertain consumer valuation of quality and choose product quality, they do not benefit from user-generated content, but consumers may benefit or lose from it. When the correlation-increasing effect is significant, both firms and consumers, and therefore the society, are hurt by user-generated content. Stronger consumer preference mitigates the negative impact but amplifies the positive impact of user-generated content in this case. The online appendix is available at https://doi.org/10.1287/mnsc.2017.2839 . This paper was accepted by Chris Forman, information systems.
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