When Will People Tell You Something You Do Not Know? the Exchange of Unique Informational in Word-Of-Mouth Communication
This article demonstrates that the flow and the impact of word-of-mouth (WOM) information are influenced by informational-ties among members (e.g., whether members share common knowledge or hold unique information on the topic of conversations). Although common information is generally over-sampled for conversations, this bias is inflated when the common information is emotional in nature and when members are similar with respect to interests or goals. Most importantly, uniquely held emotional information is exchanged more often than cognitive common information. As a result of these biases in information exchange, choices of WOM members herd into pleasurable but commonly known options compared with choices of individuals who do not engage in WOM.
Citation:
Lei Huang and Sema Barlas (2009) ,"When Will People Tell You Something You Do Not Know? the Exchange of Unique Informational in Word-Of-Mouth Communication", in NA - Advances in Consumer Research Volume 36, eds. Ann L. McGill and Sharon Shavitt, Duluth, MN : Association for Consumer Research, Pages: 761-762.
Authors
Lei Huang, Dalhousie University, Canada
Sema Barlas, McGill University, Canada
Volume
NA - Advances in Consumer Research Volume 36 | 2009
Share Proceeding
Featured papers
See MoreFeatured
Turning the Titanic: Creating Consumer-Centric Cultures and Improved Consumer Experience in Large, Established Health Care Systems
Gregory Carpenter, Northwestern University, USA
Beth Leavenworth DuFault, University at Albany
Ashlee Humphreys, Northwestern University - Medill, USA
Lez Ecima Trujillo Torres, University of Illinois at Chicago, USA
Featured
Trust in Doubt: Co-Chair's Invited Panel
Adam Berinsky, Massachusetts Institute of Technology, USA
John Gray, MentionMapp.com
Andre Spicer, City University of London, UK
Featured
Thanks for Nothing: Expressing Gratitude Invites Exploitation by Competitors
Kelly Kiyeon Lee, Georgetown University, USA
Jeremy A. Yip, Georgetown University, USA
Cindy Chan, University of Toronto, Canada
Alison Wood Brooks, Harvard Business School, USA