An economic analysis of rebates conditional on positive reviews

Strategic sellers on some online selling platforms have recently been using a conditional-rebate strategy to manipulate product reviews under which only purchasing consumers who post positive reviews online are eligible to redeem the rebate. A key concern for the conditional rebate is that it can ea...

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Main Authors: CHEN, Jianqing, GUO, Zhiling, HUANG, Jian
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2021
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Online Access:https://ink.library.smu.edu.sg/sis_research/6810
https://ink.library.smu.edu.sg/context/sis_research/article/7813/viewcontent/An_Economic_Analysis_of_Rebates.pdf
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spelling sg-smu-ink.sis_research-78132022-01-27T08:28:36Z An economic analysis of rebates conditional on positive reviews CHEN, Jianqing GUO, Zhiling HUANG, Jian Strategic sellers on some online selling platforms have recently been using a conditional-rebate strategy to manipulate product reviews under which only purchasing consumers who post positive reviews online are eligible to redeem the rebate. A key concern for the conditional rebate is that it can easily induce fake reviews, which might be harmful to consumers and society. We develop a microbehavioral model capturing consumers’ review-sharing benefit, review-posting cost, and moral cost of lying to examine the seller’s optimal pricing and rebate decisions. We derive three equilibria: the no-rebate, organic-review equilibrium; the low-rebate, boosted-authentic-review equilibrium; and the high-rebate, partially-fake-review equilibrium. We find that the seller’s optimal price and rebate decisions critically depend on both the review-posting and moral costs. The seller adopts the no-rebate strategy when the review-posting cost is low but the moral cost is high, the low-rebate strategy when the review-posting cost is high or when the review-posting cost is intermediate and the moral cost is high, and the high-rebate strategy when the review-posting cost is not too high and the moral cost is low. Our results suggest that it is not always profitable for strategic sellers to adopt the conditional-rebate strategy. Even if the conditional-rebate strategy is adopted, it does not always result in fake reviews. Furthermore, we find that, compared with the benchmark of no rebate, conditional rebates do not always hurt consumer surplus or social welfare. When a low (high) rebate is offered, if the review-posting cost is not too low (not very high), the conditional-rebate strategy can even lead to higher consumer surplus and social welfare. Our findings shed new light on the platform-policy debate about the fake-review phenomenon induced by conditional rebates. 2021-06-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/6810 info:doi/10.1287/isre.2021.1048 https://ink.library.smu.edu.sg/context/sis_research/article/7813/viewcontent/An_Economic_Analysis_of_Rebates.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Online reviews Fake reviews Review manipulation Databases and Information Systems
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Online reviews
Fake reviews
Review manipulation
Databases and Information Systems
spellingShingle Online reviews
Fake reviews
Review manipulation
Databases and Information Systems
CHEN, Jianqing
GUO, Zhiling
HUANG, Jian
An economic analysis of rebates conditional on positive reviews
description Strategic sellers on some online selling platforms have recently been using a conditional-rebate strategy to manipulate product reviews under which only purchasing consumers who post positive reviews online are eligible to redeem the rebate. A key concern for the conditional rebate is that it can easily induce fake reviews, which might be harmful to consumers and society. We develop a microbehavioral model capturing consumers’ review-sharing benefit, review-posting cost, and moral cost of lying to examine the seller’s optimal pricing and rebate decisions. We derive three equilibria: the no-rebate, organic-review equilibrium; the low-rebate, boosted-authentic-review equilibrium; and the high-rebate, partially-fake-review equilibrium. We find that the seller’s optimal price and rebate decisions critically depend on both the review-posting and moral costs. The seller adopts the no-rebate strategy when the review-posting cost is low but the moral cost is high, the low-rebate strategy when the review-posting cost is high or when the review-posting cost is intermediate and the moral cost is high, and the high-rebate strategy when the review-posting cost is not too high and the moral cost is low. Our results suggest that it is not always profitable for strategic sellers to adopt the conditional-rebate strategy. Even if the conditional-rebate strategy is adopted, it does not always result in fake reviews. Furthermore, we find that, compared with the benchmark of no rebate, conditional rebates do not always hurt consumer surplus or social welfare. When a low (high) rebate is offered, if the review-posting cost is not too low (not very high), the conditional-rebate strategy can even lead to higher consumer surplus and social welfare. Our findings shed new light on the platform-policy debate about the fake-review phenomenon induced by conditional rebates.
format text
author CHEN, Jianqing
GUO, Zhiling
HUANG, Jian
author_facet CHEN, Jianqing
GUO, Zhiling
HUANG, Jian
author_sort CHEN, Jianqing
title An economic analysis of rebates conditional on positive reviews
title_short An economic analysis of rebates conditional on positive reviews
title_full An economic analysis of rebates conditional on positive reviews
title_fullStr An economic analysis of rebates conditional on positive reviews
title_full_unstemmed An economic analysis of rebates conditional on positive reviews
title_sort economic analysis of rebates conditional on positive reviews
publisher Institutional Knowledge at Singapore Management University
publishDate 2021
url https://ink.library.smu.edu.sg/sis_research/6810
https://ink.library.smu.edu.sg/context/sis_research/article/7813/viewcontent/An_Economic_Analysis_of_Rebates.pdf
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