TY - GEN
T1 - The influence of information display and availability on reviewer usefulness status
AU - Jabr, Wael
AU - Qi, Zirun
AU - Lohtia, Ritu
AU - Guillory, Monica D.
N1 - Publisher Copyright:
© 2018 Association for Information Systems. All rights reserved.
Copyright:
Copyright 2018 Elsevier B.V., All rights reserved.
PY - 2018
Y1 - 2018
N2 - As customers increasingly share their experiences about services and products they have used by posting online reviews, the concern becomes information overload for subsequent readers. Platforms such as Yelp and TripAdvisor have therefore an incentive to differentiate those reviews through, among others, usefulness votes and solicit readers to cast those votes. Our study therefore aims to analyze the impact of displaying reviewer related information and layering that information on the cumulative usefulness of the reviewer. The current research studies two platforms (Yelp and TripAdvisor) and focuses on reviewer characteristics. Our study finds that while reviewer characteristics are significant predictors of usefulness status, they become less significant as reviewers gain more status in the platform. Furthermore, the platform's choice of layering information in multiple levels, accessible only after reader's clicks, seems to affect the impact of this information, though at varying levels that depend on the reviewer status.
AB - As customers increasingly share their experiences about services and products they have used by posting online reviews, the concern becomes information overload for subsequent readers. Platforms such as Yelp and TripAdvisor have therefore an incentive to differentiate those reviews through, among others, usefulness votes and solicit readers to cast those votes. Our study therefore aims to analyze the impact of displaying reviewer related information and layering that information on the cumulative usefulness of the reviewer. The current research studies two platforms (Yelp and TripAdvisor) and focuses on reviewer characteristics. Our study finds that while reviewer characteristics are significant predictors of usefulness status, they become less significant as reviewers gain more status in the platform. Furthermore, the platform's choice of layering information in multiple levels, accessible only after reader's clicks, seems to affect the impact of this information, though at varying levels that depend on the reviewer status.
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M3 - Conference contribution
AN - SCOPUS:85054233488
SN - 9780996683166
T3 - Americas Conference on Information Systems 2018: Digital Disruption, AMCIS 2018
BT - Americas Conference on Information Systems 2018
PB - Association for Information Systems
T2 - 24th Americas Conference on Information Systems 2018: Digital Disruption, AMCIS 2018
Y2 - 16 August 2018 through 18 August 2018
ER -