How Males and Females Differ in Their Likelihood of Transmitting Negative Word of Mouth
By Yinlong Zhang, Lawrence Feick, Vikas Mittal. 2014
172 citations recorded by the source corpus.
Subfields: Marketing, Sociology and Political Science, Human-Computer Interaction
View Paper: https://www.semanticscholar.org/paper/22e49f9868ec71c7c3f926c43e790cf9a21c37e3
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Marketing
- Colleen M. Harmeling
- Nitish Singh
- Peter R. Magnusson
- Harley Krohmer
- Wayne D. Hoyer
- Rebecca A. VanMeter
- Douglas B. Grisaffe
- L. Chonko
In Sociology and Political Science
- Colleen M. Harmeling
- Nitish Singh
- Peter R. Magnusson
- Wayne D. Hoyer
- Arnold Japutra
- Y. Ekinci
- Lyndon Simkin
- Tom Page
In Human-Computer Interaction
Citations in the corpus
- Beyond anger: A deeper look at consumer animosity (2015, methodology): “Negative WOM was measured using a 3-item scale adapted from Zhang, Feick, and Mittal (2014).”
- Adolescent's eWOM intentions: An investigation into the roles of peers, the Internet and gender (2017, unknown): “Also, the negative eWOM behavior of two genders di ff ers because men are self-oriented and women are other-oriented (Zhang, Feick, & Mittal, 2014).”
- Of “Likes” and “Pins”: The Effects of Consumers’ Attachment to Social Media (2015, background): “This would extend the negative word-of-mouth literature (Edison and Geissler 2011; Mattila and Wirtz 2004; Zhang, Feick, and Mittal 2014) directly in the social media context (King, Racherla, and Bush 2014).”
- When Hostile Consumers Wreak Havoc on Your Brand: The Phenomenon of Consumer Brand Sabotage (2016, background): “A first construct is negative WOM, which refers to negative informal communication by consumers to other consumers about their evaluations of goods and services (Zhang, Feick, and Mittal 2014).”