TY - GEN
T1 - Is the whole equal to the sum of its parts? Exploring the impact of inconsistency on perceived helpfulness of a set of reviews
AU - Yin, Dezhi
AU - de Vreede, Triparna
AU - Steele, Logan
AU - de Vreede, Gert Jan
N1 - Publisher Copyright:
© 2019 IEEE Computer Society. All rights reserved.
PY - 2019
Y1 - 2019
N2 - Despite a growing literature on the helpfulness of individual reviews, scant attention has been paid to the helpfulness of a set of reviews. Moreover, it is generally assumed that the helpfulness of a review set can be derived from averaging the individual reviews' helpfulness evaluations. Drawing on bounded rationality theories, we hypothesize that this assumption may not always be valid, and that consumers' helpfulness perception of a review set is also determined by inter-review consistency. A carefully designed experiment revealed that the whole differs from the sum of its parts when the reviews are consistent with each other or are contradicting each other, but does not differ when the reviews contain mixed, non-contradicting opinions. These findings deepen our understanding of inconsistency in online reviews and have a potential to change how reviews should be presented to the consumers.
AB - Despite a growing literature on the helpfulness of individual reviews, scant attention has been paid to the helpfulness of a set of reviews. Moreover, it is generally assumed that the helpfulness of a review set can be derived from averaging the individual reviews' helpfulness evaluations. Drawing on bounded rationality theories, we hypothesize that this assumption may not always be valid, and that consumers' helpfulness perception of a review set is also determined by inter-review consistency. A carefully designed experiment revealed that the whole differs from the sum of its parts when the reviews are consistent with each other or are contradicting each other, but does not differ when the reviews contain mixed, non-contradicting opinions. These findings deepen our understanding of inconsistency in online reviews and have a potential to change how reviews should be presented to the consumers.
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M3 - Conference contribution
AN - SCOPUS:85108301017
T3 - Proceedings of the Annual Hawaii International Conference on System Sciences
SP - 4686
EP - 4694
BT - Proceedings of the 52nd Annual Hawaii International Conference on System Sciences, HICSS 2019
A2 - Bui, Tung X.
T2 - 52nd Annual Hawaii International Conference on System Sciences, HICSS 2019
Y2 - 8 January 2019 through 11 January 2019
ER -