减少不确定性vs.互惠:了解平台发起的评论者激励计划对常规评级的影响

IF 5 3区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE
Jingchuan Pu, Young Kwark, Sang Pil Han, Qiang Ye, Bin Gu
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引用次数: 0

摘要

许多在线平台现在向经验丰富的评测者提供免费试用,希望得到反馈。虽然这些评论者会得到免费的样品来评论,但他们也会自己购买和评论产品。购买产品的常规评级占多数。这就带来了一个问题:收到免费的产品是否会让他们对自己的个人购买做出更积极的评价?如果是,为什么?我们探索了两种可能性。第一,不确定性降低机制:试用免费样品使购买者对购买更有信心,从而对购买的产品产生更大的满意度和更高的评分;第二,互惠机制:评论者可能会因为免费样品或期望获得更多免费样品而感到有义务给予更高的评分,这可能会引入偏见。我们的研究表明,提供免费样品主要有助于减少购买的不确定性,使顾客在随后的购买中真正感到快乐。因此,在线平台可以从这一策略中受益,因为它似乎可以提升真正的正面评论,而不是制造有偏见的评论。然而,仍然有必要监测任何不适当的偏见,以保持审查的可信度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Uncertainty Reduction vs. Reciprocity: Understanding the Effect of a Platform-Initiated Reviewer Incentive Program on Regular Ratings
Many online platforms are now offering free samples to seasoned reviewers, hoping to get feedback. While these reviewers are given free samples to review, they also buy and review products themselves. The regular ratings for the purchased products are the majority. This brings up the question: Does receiving free products make them rate their personal purchases more positively? And if so, why? We explored two possibilities. First, uncertainty reduction mechanism: The idea that trying free samples makes buyers more confident in their purchases, leading to greater satisfaction and higher ratings for the purchased products; Second, reciprocity mechanism: The idea that reviewers might feel obliged to give better ratings as a “thank you” for the free samples or with the expectations of getting more free samples, which could introduce bias. Our research indicates that giving free samples mainly helps in reducing purchase uncertainty, making customers genuinely happier with their subsequent purchases. So, online platforms can benefit from this strategy, as it seems to uplift genuine positive reviews rather than create biased ones. However, it is still essential to monitor for any undue bias to maintain trustworthiness in reviews.
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来源期刊
CiteScore
9.10
自引率
8.20%
发文量
120
期刊介绍: ISR (Information Systems Research) is a journal of INFORMS, the Institute for Operations Research and the Management Sciences. Information Systems Research is a leading international journal of theory, research, and intellectual development, focused on information systems in organizations, institutions, the economy, and society.
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