IS

Yin, Dezhi

Topic Weight Topic Terms
0.746 reviews product online review products wom consumers consumer ratings sales word-of-mouth impact reviewers word using
0.213 emotions research fmri emotional neuroscience study brain neurois emotion functional neurophysiological distrust cognitive related imaging
0.197 assimilation beliefs belief confirmation aggregation initial investigate observed robust particular comparative circumstances aggregated tendency factors
0.147 effects effect research data studies empirical information literature different interaction analysis implications findings results important
0.109 negative positive effect findings results effects blog suggest role blogs posts examined period relationship employees

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Bond, Samuel 1 Mitra, Sabyasachi 1 Zhang, Han 1
review helpfulness 2 anxiety 1 anger 1 consumer decision making 1
confirmation bias 1 confidence in beliefs 1 Discrete emotions 1 electronic commerce 1
metacognition 1 negativity effect 1 online word-of-mouth 1 online word of mouth 1
positiveÐnegative asymmetry 1 positivity effect 1 product review 1 review rating 1
seller reviews 1

Articles (2)

Research Note‹When Do Consumers Value Positive vs. Negative Reviews? An Empirical Investigation of Confirmation Bias in Online Word of Mouth (Information Systems Research, 2016)
Authors: Abstract:
    In the online word-of-mouth literature, research has consistently shown that negative reviews have a greater impact on product sales than positive reviews. Although this negativity effect is well documented at the product level, there is less consensus on whether negative or positive reviews are perceived to be more helpful by consumers. A limited number of studies document a higher perceived helpfulness for negative reviews under certain conditions, but accumulating empirical evidence suggests the opposite. To reconcile these contradictory findings, we propose that consumers can form initial beliefs about a product on the basis of the product's summary rating statistics (such as the average and dispersion of the product's ratings) and that these initial beliefs play a vital role in their subsequent evaluation of individual reviews. Using a unique panel data set collected from Apple's App Store, we empirically demonstrate confirmation biasÑthat consumers have a tendency to perceive reviews that confirm (versus disconfirm) their initial beliefs as more helpful, and that this tendency is moderated by their confidence in their initial beliefs. Furthermore, we show that confirmation bias can lead to greater perceived helpfulness for positive reviews (positivity effect) when the average product rating is high, and for negative reviews (negativity effect) when the average product rating is low. Thus, the mixed findings in the literature can be a consequence of confirmation bias. This paper is among the first to incorporate the important role of consumers' initial beliefs and confidence in such beliefs (a fundamental dimension of metacognition) into their evaluation of online reviews, and our findings have significant implications for researchers, retailers, and review websites.
Anxious or Angry? Effects of Discrete Emotions on the Perceived Helpfulness of Online Reviews (MIS Quarterly, 2014)
Authors: Abstract:
    This paper explores the effects of emotions embedded in a seller review on its perceived helpfulness to readers. Drawing on frameworks in literature on emotion and cognitive processing, we propose that over and above a well-known negativity bias, the impact of discrete emotions in a review will vary, and that one source of this variance is reader perceptions of reviewers’ cognitive effort. We focus on the roles of two distinct, negative emotions common to seller reviews: anxiety and anger. In the first two studies, experimental methods were utilized to identify and explain the differential impact of anxiety and anger in terms of perceived reviewer effort. In the third study, seller reviews from Yahoo! Shopping web sites were collected to examine the relationship between emotional review content and helpfulness ratings. Our findings demonstrate the importance of examining discrete emotions in online word-of-mouth, and they carry important practical implications for consumers and online retailers.