独创性
价值(数学)
产品(数学)
营销
消费者行为
业务
心理学
社会心理学
计算机科学
几何学
数学
机器学习
创造力
作者
Yajun Zhang,Y. Niu,Zhi Chen,Xiaoyu Deng,Banggang Wu,Yali Chen
出处
期刊:Journal of Research in Interactive Marketing
[Emerald Publishing Limited]
日期:2023-06-28
卷期号:18 (3): 391-409
被引量:3
标识
DOI:10.1108/jrim-01-2023-0027
摘要
Purpose Online retailers are pioneering the incentivization of customers to generate more product reviews by rewarding them. However, little is known about the impact of reward types on customers' review behavior, including review frequency and sentiment. To address this gap, we investigated the effects of different reward types on customers' review behavior and how these rewards influence customers' review behavior. Design/methodology/approach We collected secondary data and empirically tested the hypothesis by analyzing the change in reward policy. Regression and two-stage Heckman models were applied to investigate the effects, with the latter used to control potential selection issues. Findings The results revealed that monetary rewards can stimulate customers to generate more positive product reviews. Furthermore, the reward amount has a negative moderating effect on the aforementioned relationship. Additionally, customer tenure negatively moderates the relationship between monetary rewards and review behavior. Originality/value This study contributes to the understanding of user-generated content motivation and provides managerial implications for reward programs.
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