Perceived helpfulness of eWOM: Emotions, fairness and rationality
By Elvira R. Ismagilova, Yogesh Kumar Dwivedi, Emma L. Slade. 2020
129 citations recorded by the source corpus.
Abstract Consumers use online reviews to help make informed purchase decisions. This paper extends existing research by examining how content of online reviews influences perceptions of helpfulness by demonstrating how different emotions can influence helpfulness of both product and service online reviews beyond a valence-based approach using cognitive appraisal theory and attribution theory. This research contributes to existing knowledge regarding the theory of information processing, attribution theory, and cognitive appraisal theory of emotions. Using findings from this study, practitioners can make review websites more user-friendly which will help readers avoid information overload and make more informed purchase decisions.
Subfields: Information Systems and Management, Marketing, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/ca50ad369871c2c717524f13fdb6972efffa5bd9
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Information Systems and Management
- Elvira R. Ismagilova
- Arpita Khare
- Subhro Sarkar
- Sumedha Chauhan
- Yogesh Kumar Dwivedi
- D. L. Hughes
- Jamie Carlson
- Jennifer E. Rowley
In Marketing
- Yogesh Kumar Dwivedi
- Subhro Sarkar
- Arpita Khare
- Sumedha Chauhan
- Elvira R. Ismagilova
- Heikki Karjaluoto
- Jamie Carlson
- Jennifer E. Rowley
In Sociology and Political Science
- Elvira R. Ismagilova
- Subhro Sarkar
- Arpita Khare
- Sumedha Chauhan
- Yogesh Kumar Dwivedi
- Heikki Karjaluoto
- Jamie Carlson
- Jennifer E. Rowley
Citations in the corpus
- Setting the future of digital and social media marketing research: Perspectives and research propositions (2020, background): “…role in consumers sharing intention on social media platforms (Kim and Jang 2019). eWOM communication can have a significant effect on information adoption, consumer attitude, purchase intention, brand loyalty, and trust (Filieri & McLeay, 2014; Ismagilova et al., 2020a, Ismagilova et al., 2020c).”
- A meta-analysis of antecedents and consequences of trust in mobile commerce (2020, methodology): “The correlation coe ffi cient was used as the e ff ect size metric in this study (Ismagilova, Dwivedi, & Slade, 2019; Dwivedi, Rana, Jeyaraj, Clement, & Williams, 2019; Hamari & Keronen, 2017; Ismagilova, Slade, Slade et al., 2019; Rana et al., 2015; Zhao et al., 2018).”