Mapping the electronic word-of-mouth (eWOM) research: A systematic review and bibliometric analysis
By Naveen Donthu, Satish Kumar, Neeraj Pandey, Nitesh Pandey, Akanksha Mishra. 2021
443 citations recorded by the source corpus.
Subfields: Organizational Behavior and Human Resource Management, Sociology and Political Science, Human-Computer Interaction
View Paper: https://www.semanticscholar.org/paper/664e6eaaa26618b03b70ac5bf1a6f0c2bfd46b5d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Organizational Behavior and Human Resource Management
In Sociology and Political Science
Citations in the corpus
- Artificial Intelligence and Blockchain Integration in Business: Trends from a Bibliometric-Content Analysis (2022, methodology): “Specifically, the present study adopts the four-step procedure for bibliometric analysis recommended by Donthu et al. (2021a), which includes defining the aims and scope for study , choosing the techniques for analysis , collecting the data for analysis , and conducting the analysis and reporting…”