When and how Managers' Responses to Online Reviews Affect Subsequent Reviews

By Yang Wang, Alexander Chaudhry. 2018

221 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Organizational Behavior and Human Resource Management, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/3e1e7351d33219be11cdb2ba72afcb997c28bb02

How researchers see this paper

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

In Artificial Intelligence

1. Richard F.J. Haans
2. Timothy R. Hannigan
3. Stephan Ludwig
4. Sarah Kaplan
5. P. Devereaux Jennings
6. Vern L. Glaser
7. Keyvan Vakili
8. Dhruv Grewal

In Organizational Behavior and Human Resource Management

1. Sarah Kaplan
2. P. Devereaux Jennings
3. Vern L. Glaser
4. Dhruv Grewal
5. Dennis Herhausen
6. Kai Hockerts
7. Andreas König
8. Albrecht Enders

In Sociology and Political Science

1. Richard F.J. Haans
2. Timothy R. Hannigan
3. Stephan Ludwig
4. Jochen Wulf
5. Sarah Kaplan
6. P. Devereaux Jennings
7. Marcus Schoegel
8. Vern L. Glaser

Citations in the corpus

• Detecting, Preventing, and Mitigating Online Firestorms in Brand Communities (2019, background): “To investigate how firms prevent and mitigate online firestorms, we include only likes and comments posted after the respective firm’s response (Wang and Chaudhry 2018), which ensures that virality has been influenced by the firm response.”
• Topic Modeling in Management Research: Rendering New Theory from Textual Data (2019, background): “More recently, Wang and Chaudhry (2018) examined onlinehotel ratings, and the effects ofmanagers’ responses topositive andnegative customer reviews.”