@inproceedings{ab67ef15d80546888b35922c90d1b18c,
title = "Estimating the Effect of Social Influence on Subsequent Reviews",
abstract = "This study proposes an effective way of using retailer-prompted review data from TripAdvisor to measure the social network effect in self-motivated online reviews by overcoming the reflection problem. After applying the network effect model, we find that self-motivated review ratings are positively associated with previous corresponding peer reviews. We further show that the size of this peer effect attenuates as the peer reviews are located further away from the first page. This study suggests that reviewer ratings are more strongly influenced by peer ratings located on the visible page.",
keywords = "eWOM on-line review, Peer effect",
author = "Saram Han and Anderson, \{Chris K.\}",
note = "Publisher Copyright: {\textcopyright} 2019, Springer Nature Switzerland AG.; INFORMS International Conference on Service Science, ICSS 2018 ; Conference date: 03-11-2018 Through 03-11-2018",
year = "2019",
doi = "10.1007/978-3-030-04726-9\_23",
language = "English",
isbn = "9783030047252",
series = "Springer Proceedings in Business and Economics",
publisher = "Springer Science and Business Media B.V.",
pages = "231--238",
editor = "Hui Yang and Robin Qiu",
booktitle = "Advances in Service Science - Proceedings of the 2018 INFORMS International Conference on Service Science",
}