政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/148234
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    政大機構典藏 > 商學院 > 資訊管理學系 > 期刊論文 >  Item 140.119/148234


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    题名: How much is too much? The nonlinear link between emotional arousal and review helpfulness
    作者: 周彥君
    Chou, Yen-Chun
    贡献者: 資管系
    关键词: Review helpfulness;Online review;Arousal;Valence;User-generated content
    日期: 2023-12
    上传时间: 2023-11-29 16:31:55 (UTC+8)
    摘要: Online reviews affect consumer purchase decisions and become prevalent in different sectors. Platforms elicit useful reviews by allowing consumers to vote for helpfulness. The link between review features and review helpfulness hence has been a topic of broad interest in information systems (IS) and Internet commerce. Psychological science studies show that expressed emotions in information – valence and arousal significantly influence receivers' engagement and valuation. Unlike valence (negative or positive) that is widely-analyzed, emotional arousal is a less-studied attribute of online reviews. This study presents a careful account of the nonlinear link between emotional arousal and review helpfulness. Following a rigorous procedure of theorizing and testing nonlinear relationships (Haans et al. 2016), we articulate latent mechanisms leading to an inverted U-shaped association and how valence would moderate the nonlinear effect of review arousal. We analyze reviews on experience goods from Yelp.com and find firm support for our hypotheses. The findings are triangulated using reviews on search goods from Amazon.com. While the nonlinear effect of review arousal and interactions with review valence are robust to both types of goods, an alternative moderation path of review valence on the inverted U-shaped relationship is observed. Our empirical study contributes to the literature by shedding lights on the dynamics among arousal, valence, review helpfulness, and product types, which illustrates a prototypical example to IS/e-commerce scholars on rigorously conceptualizing and estimating U-shaped links as well as their moderations.
    關聯: Decision Support Systems, Vol.175, 114035
    数据类型: article
    DOI 連結: https://doi.org/10.1016/j.dss.2023.114035
    DOI: 10.1016/j.dss.2023.114035
    显示于类别:[資訊管理學系] 期刊論文

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