How Prevalent Is the Negativity Effect in Consumer Environments
By Rohini Ahluwalia. 2002
471 citations recorded by the source corpus.
Subfields: Literature and Literary Theory, Marketing, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/bfeda6e1ec48f89d8f371abe74220ab54379ecaa
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Literature and Literary Theory
- Joseph F. Rocereto
- S. Yu
- Marina Puzakova
- Alex Wang
- Maria Holmlund-Rytkönen
- Eileen Fischer
- Philip Fei Wu
- Claudio Vitari
In Marketing
- Raffaele Filieri
- Claudio Vitari
- Elisabetta Raguseo
- T. M. Tripp
- Marina Puzakova
- Lotte M. Willemsen
- G. van Noort
- Juergen Gnoth
In Sociology and Political Science
- Raffaele Filieri
- Yany Grégoire
- Claudio Vitari
- Elisabetta Raguseo
- T. M. Tripp
- Marina Puzakova
- Lotte M. Willemsen
- Fred Bronner
Citations in the corpus
- Consumer learning in a turbulent Market environment: Modeling Consumer Choice Dynamics after a Product-harm Crisis (2011, background): “…brands to examine whether the change of perceived mean quality level due to product crisis would be different across different consumers types.7 Previous studies have found that heavy users of the category/ brand react differently to the negative information of the product (e.g., Ahluwalia 2002).”
- Extremely Negative Ratings and Online Consumer Review Helpfulness: The Moderating Role of Product Quality Signals (2020, background): “In this work, we have advanced our theoretical knowledge of Signaling theory (Spence 2002) and Negativity Bias (Herr, Kardes, and Kim 1991; Rozin and Royzman 2001; Ahluwalia 2002) in the eWOM context by discussing how product quality signals affect the evaluation of extremely negative judgments.”
- Effectiveness of Marketing Cues on Consumer Perceptions of Quality: The Moderating Roles of Brand Reputation and Third-Party Information (2013, background): “…in situations where cues offer conflicting information, consumers weigh the negative information more heavily than the positive information in their inference formation because negative cues can be viewed as more salient and useful (e.g., Ahluwalia, 2002; Anderson, 1965; Herr, Kardes, & Kim, 1991).”
- The Effects of Consumers’ Perceived Values on Intention to Purchase Upcycled Products (2019, background): “046), based on the cutoff criteria in the literature [78].”
- Is the Marlboro man the only alternative? The role of gender identity and self-construal salience in evaluations of male models (2009, methodology): “Following Ahluwalia (2002), two judges coded the cognitive response data as impression management-related and nonimpression management-related (I, N) and as positive, negative, or neutral in valence (+, �, 0). Impression management-related thoughts were thoughts of the consequences of endorsing or u”
- Priming, Framing, and Position on Corporate Social Responsibility (2007, background): “On the other hand, the biased processing invoked by people who have committed positions should lower the perceived usefulness of attitude-inconsistent nega- tive information (Ahluwalia, 2002).”
- When Humanizing Brands Goes Wrong: The Detrimental Effect of Brand Anthropomorphization amid Product Wrongdoings (2013, methodology): “Seven-point semantic differential scale (Ahluwalia 2002); = .76 •“Extremely irrelevant/extremely relevant” •“Not at all useful/of very great use” •“Not at all indicative/very indicative””
- Why are you telling me this? An examination into negative consumer reviews on the Web (2007, background): “Although in general consumers’ attitudes toward most brands tend to be moderately positive (Mizerski, 1982) and also they typically will search for information only about brands that they like (Ahluwalia, 2002), we believe that in the case of hedonic products this positive pre-disposition may be mor”
- Balance and Sequence in Online Reviews: How Perceived Usefulness Affects Attitudes and Intentions (2012, background): “…are usually considered to be more characteristic in identifying bad product quality than positive attributes in identifying good quality, and a number of studies have shown that negative information is perceived as more useful than positive information (Ahluwalia 2002; Feldman and Lynch 1988).”
- Online Damage Control: The Effects of Proactive versus Reactive Webcare Interventions in Consumer-generated and Brand-generated Platforms (2012, background): “This asymmetric effect of NWOM, also referred to as “ negativity effect ” (Ahluwalia 2002), has been explained by the diagnostic value of negative product information.”