Can Positive Online Social Cues Always Reduce User Avoidance of Sponsored Search Results?

MIS Q. Pub Date : 2022-02-15 DOI:10.25300/misq/2021/14962
Honglin Deng, Weiquan Wang, Siyuan Li, Kai H. Lim
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引用次数: 2

Abstract

Online social cues that utilize user-generated data, such as user reviews and product ratings, have become one of the key factors influencing online user behavior and decisions. Online users who shared their reviews and ratings about a product (or a seller) become an abstract reference group to a focal user interested in the same product. This study focuses on sponsored search results (SSRs), a type of unsolicited information that matches users’ search queries and receives high evaluations from prior consumers. We investigate the effects of positive social cues on alleviating users’ avoidance responses toward an encountered SSR when searching for a product in a C2C e-commerce context. We synthesize the avoidance literature and identify three forms of SSR avoidance, namely, cognitive, behavioral, and affective avoidance. We apply users’ implicit concerns on SSRs to explain users’ avoidance of an encountered SSR. In addition, we extend social influence theory to online settings where abstract reference groups are posited to trigger social influence. We examine how and under what conditions the three forms of SSR avoidance can be reduced by various positive online social cues (i.e., product- and seller-related). We conduct three laboratory experiments. Results attest to users’ implicit concerns on SSRs and their avoidance of SSRs and reveal different effects of various social cues on reducing the three forms of SSR avoidance. This study uncovers the theoretical mechanisms of social influence on reducing SSR avoidance in online settings. It also offers practical implications for online search service providers to help online users’ decision making in their search process.
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积极的在线社交提示总是能减少用户对赞助搜索结果的回避吗?
利用用户生成数据的在线社交线索,如用户评论和产品评级,已经成为影响在线用户行为和决策的关键因素之一。分享他们对产品(或卖家)的评论和评分的在线用户成为对同一产品感兴趣的焦点用户的抽象参考群体。这项研究的重点是赞助搜索结果(SSRs),这是一种未经请求的信息,与用户的搜索查询相匹配,并从先前的消费者那里得到很高的评价。我们研究了在C2C电子商务环境下,积极的社会线索对缓解用户在搜索产品时遇到的SSR回避反应的影响。我们综合了回避文献,确定了SSR回避的三种形式,即认知回避、行为回避和情感回避。我们应用用户对SSR的隐式关注来解释用户对遇到的SSR的回避。此外,我们将社会影响理论扩展到在线环境,其中抽象参考群体被假定为触发社会影响。我们研究了如何以及在什么条件下,三种形式的SSR回避可以通过各种积极的在线社会线索(即,与产品和卖家相关)来减少。我们进行了三个实验室实验。研究结果证实了用户对SSR的内隐关注和回避,并揭示了不同社会线索对减少三种形式的SSR回避的不同作用。本研究揭示了网络环境下社会影响对减少SSR回避的理论机制。它也为在线搜索服务提供商提供了实际意义,以帮助在线用户在搜索过程中做出决策。
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