Helpfulness of Online Product Reviews as Seen by Consumers: Source and Content Features

By Meng-Xiang Li, Liqiang Huang, Chuan-Hoo Tan, Kwok Kee Wei. International Journal of Electronic Commerce, 2013

366 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/1a6e5c3805bc9df8d60f5ee8b2a25f6ced7b8aa1

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

1. Nripendra P. Rana
2. Yogesh Kumar Dwivedi
3. Trang P. Tran
4. David C. Yen
5. Ali Abdallah Alalwan
6. Kuttimani Tamilmani
7. Samuel Fosso Wamba
8. Pushp P. Patil

In Marketing

1. Nripendra P. Rana
2. Yogesh Kumar Dwivedi
3. Trang P. Tran
4. David C. Yen

In Sociology and Political Science

1. Nripendra P. Rana
2. Yogesh Kumar Dwivedi
3. Violetta Wilk
4. Trang P. Tran
5. David C. Yen
6. Kuanchin Chen
7. Albert H. Huang
8. Claire Lambert

Citations in the corpus

• A study of factors that contribute to online review helpfulness (2015, methodology): “…and other content features of online product reviews affect perceived helpfulness of reviews The study investigated different factors affecting online review helpfulness Amazon Li et al. (2013) The source- and content-based review features have direct impact on product review helpfulness.”
• Predicting the “helpfulness” of online consumer reviews (2017, background): “37,221 book reviews collected from Amazon UK Li et al. (2013) Investigate product review helpfulness as well as its corresponding antecedents from the product review feature perspective (i.e., source-and content-based review features) Customer-written reviews are more helpful than those written by…”
• A big data exploration of the informational and normative influences on the helpfulness of online restaurant reviews (2021, background): “, reviewees) to visit and read reviews which aid their decision making process (Li et al., 2013).”