User-Generated Content and Competing Firms’ Product Design

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]
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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