A study of factors that contribute to online review helpfulness

By Albert H. Huang, Kuanchin Chen, David C. Yen, Trang P. Tran. Computers in Human Behavior, 2015

344 citations recorded by the source corpus.

Subfields: Communication, Information Systems and Management, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/ff111c2bc658caa61bd1142f8b58f2afc2bf7ebd

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Communication

1. Nripendra P. Rana
2. Yogesh Kumar Dwivedi

In Information Systems and Management

1. Nripendra P. Rana
2. Yogesh Kumar Dwivedi
3. Ali Abdallah Alalwan
4. Kuttimani Tamilmani
5. Samuel Fosso Wamba
6. Pushp P. Patil
7. Sheshadri Chatterjee
8. Arpan Kumar Kar

In Sociology and Political Science

1. Nripendra P. Rana
2. Yogesh Kumar Dwivedi
3. Violetta Wilk
4. Claire Lambert
5. Stephanie Meek
6. Ali Abdallah Alalwan
7. Kuttimani Tamilmani
8. Samuel Fosso Wamba

Citations in the corpus

• A big data exploration of the informational and normative influences on the helpfulness of online restaurant reviews (2021, background): “…November 2019; Received in revised form 30 November 2020; Accepted 1 December 2020 Journal of Business Research 125 (2021) 354–367 Chang, Fang, and Huang (2015) who advocate reviewees are influenced by both the information provided (i.e., informational factors), and the reviewer’s opinion…”
• Predicting the “helpfulness” of online consumer reviews (2017, background): “Huang, Chen, Yen, and Tran (2015) examine message length together with aspects of review patterns and reviewer characteristics for their joint effects on review helpfulness.”