Understanding the determinants of online review helpfulness: A meta-analytic investigation
By H. Hong, Di Xu, G. Alan Wang, Weiguo Fan. Decision Support Systems, 2017
437 citations recorded by the source corpus.
Subfields: Information Systems and Management, Organizational Behavior and Human Resource Management, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/02d25849b2fb7448e72478c3bdccb792dc82a12f
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
- Arpita Khare
- Subhro Sarkar
- Sumedha Chauhan
- Elvira R. Ismagilova
- Emma L. Slade
- Zhibin Lin
- Fraser McLeay
- Yogesh Kumar Dwivedi
In Organizational Behavior and Human Resource Management
- Elvira R. Ismagilova
- Subhro Sarkar
- Yogesh Kumar Dwivedi
- Emma L. Slade
- Raffaele Filieri
- Arpita Khare
- Sumedha Chauhan
- Bruce Tsui
In Sociology and Political Science
- Subhro Sarkar
- Arpita Khare
- Sumedha Chauhan
- Elvira R. Ismagilova
- Emma L. Slade
- Zhibin Lin
- Fraser McLeay
- Yogesh Kumar Dwivedi
Citations in the corpus
- Consumer perceptions of information helpfulness and determinants of purchase intention in online consumer reviews of services (2018, background): “Important informational influences include the content, the source, and the receiver of information [13, 14, 38].”
- A big data exploration of the informational and normative influences on the helpfulness of online restaurant reviews (2021, background): “Although extant research indicates there is extensive analysis around the factors that increase review helpfulness, there are, however, inconsistencies in the literature (Fresneda & Gefen, 2019; Hong et al., 2017).”
- Perceived helpfulness of eWOM: Emotions, fairness and rationality (2020, background): “30 perspective taken by the writer may have an impact on the reader (Ahmad & Laroche, 2015; Hong et al., 2017; Yin et al., 2017).”
- A meta-analysis of antecedents and consequences of trust in mobile commerce (2020, background): “Kirca, Jayachandran, and Bearden, 2005) and Hong, Xu, Wang, and Fan (2017) suggested that meta-analysis can be carried out with at least three studies.”