2022
DOI: 10.1108/imds-04-2022-0259
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Impact of emotional intensity of negative word-of-mouth on perceived helpfulness in social media

Abstract: PurposeNegative word-of-mouth has a variety of negative effects on companies. Thus, how consumers process and evaluate negative word-of-mouth is an important issue for companies. This research aims to investigate the effect of emotional intensity of negative word-of-mouth on consumers' perceived helpfulness.Design/methodology/approachThe research model was developed based on attribution theory. A four-study approach involving two field experiments and two online experiments was employed to examine the proposed… Show more

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Cited by 8 publications
(6 citation statements)
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References 82 publications
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“…(2017) propose that the marginal effect of emotional arousal on perceived helpfulness is positive at low levels of arousal but diminishes at higher levels. Chen and Zhang (2022) reach a similar conclusion experimentally and suggest that this results from the negative effect of emotional intensity on altruistic motivation, which then reduces perceived helpfulness. In summary, these studies focus on the effects of changes in the emotional intensity of a single review.…”
Section: Theoretical Backgroundsupporting
confidence: 64%
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“…(2017) propose that the marginal effect of emotional arousal on perceived helpfulness is positive at low levels of arousal but diminishes at higher levels. Chen and Zhang (2022) reach a similar conclusion experimentally and suggest that this results from the negative effect of emotional intensity on altruistic motivation, which then reduces perceived helpfulness. In summary, these studies focus on the effects of changes in the emotional intensity of a single review.…”
Section: Theoretical Backgroundsupporting
confidence: 64%
“…Third, while previous research has examined the effect of the static nature of emotional intensity in individual online reviews on aspects such as credibility, perceived usefulness, and buying intentions (Wang et al, 2022;Li et al, 2020;Chen and Zhang, 2022), and has also considered the variations in emotional intensity among different reviewers (Yin et al, 2021), it has overlooked the effects of fluctuating emotional intensity within the same reviewer. This study addresses this gap by introducing the variable of dynamic changes in emotional intensity and exploring its moderating effect on composite comments.…”
Section: Theoretical Contributionsmentioning
confidence: 99%
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“…The emotional intensity of negative reviews positively influences the degree of perceived risk. Thoughts with strong negative emotions are perceived as more accurate and helpful for potential consumers to avoid risks (Cai et al, 2017;Chen & Zhang, 2022). The more comprehensive and certain the emotions expressed in negative reviews, the more likely they evoke a sense of identification and agreement, thereby increasing perceived uncertainty and severity of consequences (Park et al, 2007;Chen & Zhang, 2023).…”
Section: The Emotional Intensity Of Online Negative Reviews and Perce...mentioning
confidence: 99%
“…The impact of word of mouth (WOM) on consumer responses, such as trust and loyalty, and on companies' marketing performance has been extensively studied (Ameri et al , 2019; Lafreniere et al , 2022; Villanueva et al , 2008). Researchers have discussed the impact of factors such as the source characteristics, content characteristics and transmission channels of WOM (Chen and Zhang, 2022; Jia et al , 2022; Kim et al , 2020; Raju, 2019). While researchers have mainly focused on online reviews on e-commerce platforms, the development of social media has gradually broadened their research focus to include different types of WOM communication on social media platforms (Chakraborty, 2019; Ransbotham et al , 2019; Schweidel and Moe, 2014).…”
Section: Introductionmentioning
confidence: 99%