KNOW YOURSELF AND KNOW YOUR ENEMY: AN ANALYSIS OF FIRM RECOMMENDATIONS AND CONSUMER REVIEWS IN A COMPETITIVE ENVIRONMENT

• 成果类型: Article
• 署名作者: Jabr, Wael; Zheng, Zhiqiang (Eric)
• 署名单位: University System of Georgia; Georgia State University; University of Texas System; University of Texas Dallas
• 刊物名称: MIS QUARTERLY
• ISSN/ISSBN: 0276-7783
• DOI: 10.25300/MISQ/2014/38.3.01
• 发表日期: 2014
• 页码: 635-U423
• 关键词: word-of-mouth; instrumental variables; sample properties; cross-section; systems; sales; INFORMATION; IMPACT; tests; internet

摘要

Reviews and product recommendations at online stores enable customers to readily evaluate alternative products prior to purchase. In this context, firms generate recommendations referring customers to a wider variety of products. They also display customer-generated online reviews in order to facilitate evaluation of those recommended products. This study integrates these two IT artifacts to investigate consumer choice vis-a-vis competing products. We use a dataset we collected from Amazon.com consisting of books, sales ranks, recommendations, reviews, and reviewers. We derive the granular impact of reviews, product referrals, and reviewer opinions on product sale dynamics within a competitive market using comprehensive econometric analyses.