2020
DOI: 10.1057/s41270-020-00085-5
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Consumer sentiments toward brands: the interaction effect between brand personality and sentiments on electronic word of mouth

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Cited by 20 publications
(9 citation statements)
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References 69 publications
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“…For instance, Béal and Grégoire (2021) demonstrated that BP interacts with the type of humor that a brand uses in its response to public complaints on social media; affiliative humor is more effective for sincere brands, aggressive humor is more suitable for exciting brands in increasing consumers’ purchase intentions. Similarly, other studies have revealed interaction effects between BP and narrative voice (Chang et al., 2019), engagement initiative (Eigenraam et al., 2021), and consumer sentiment (Lopez et al., 2020).…”
Section: Review Findings (Tccm)mentioning
confidence: 71%
See 1 more Smart Citation
“…For instance, Béal and Grégoire (2021) demonstrated that BP interacts with the type of humor that a brand uses in its response to public complaints on social media; affiliative humor is more effective for sincere brands, aggressive humor is more suitable for exciting brands in increasing consumers’ purchase intentions. Similarly, other studies have revealed interaction effects between BP and narrative voice (Chang et al., 2019), engagement initiative (Eigenraam et al., 2021), and consumer sentiment (Lopez et al., 2020).…”
Section: Review Findings (Tccm)mentioning
confidence: 71%
“…In terms of quantitative research, the trend in digital BP research to use computer‐assisted content analyses, sentiment analyses, and social media analytics (Hu et al., 2019; Lee et al., 2018; Lopez et al., 2020) is a best practice example for the new routes of inquiry that arise from technological innovations. Similar to modern psychology research that uses digital footprints to measure human personality (Hinds & Joinson, 2019; Montag & Elhai, 2019), future BP research may explore a variety of digital cues in visual or textual content to assess consumers’ BP perceptions.…”
Section: Future Research Agenda (Rq4)mentioning
confidence: 99%
“…In this research, we did not account for the sentiment of the review. Previous research has identified that the sentiments expressed in online comments play a major role in its effect (Lopez et al , 2020; Rambocas and Pacheco, 2018). Future research can explore how the sentiments expressed by consumers in their review influences objective perception and “word-of-click.”…”
Section: Discussionmentioning
confidence: 99%
“…In order to econometrically analyze online consumer reviews' impact on app downloads, we used sentiment analysis to generate statistical variables from text. This is a common method in online consumer review studies (Lopez et al 2020). Two such variables were generated: polarity (Av_Polarity) and subjectivity (Av_Subjectivity).…”
Section: Variables and Measurementmentioning
confidence: 99%