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The Effects of Information Nudges on Consumer Usage of Digital Services under Three-Part Tariffs
Journal of Management Information Systems ( IF 5.9 ) Pub Date : 2022-04-11 , DOI: 10.1080/07421222.2021.2023409
Ping Xiao 1 , Yuanyuan Chen 2 , Anandhi Bharadwaj 3 , Weining Bao 4
Affiliation  

ABSTRACT

We develop a dynamic model to examine how information nudges influence digital services’ consumer usage behavior and welfare under a three-part tariff structure. We study two types of information nudging: nudging through full and nudging through partial information provision. In the former, information nudges are provided to inform consumers of their usage status at every decision point in a billing cycle. In contrast, in the latter, consumers are nudged at one or more decision points within a billing cycle but not throughout the billing cycle. Our model considers two dimensions of consumer heterogeneity: inattentiveness and preference. Furthermore, our model investigates an important but under-investigated design element of information nudges, namely, the timing of the information nudges. We find that (1) nudging through information provision influences inattentive consumers’ usage decisions and improves consumption efficiency, (2) consumers’ welfare gains from full information nudging depict an inverted-U shape contingent on consumers’ preference heterogeneity, and (3) the timing of nudging matters. Our findings provide managerial implications for the design of information nudging strategies and procedures. Finally, we empirically illustrate the analytical results in the context of consumers’ mobile data usage behavior.



中文翻译:

三部分关税下信息助推对消费者使用数字服务的影响

摘要

我们开发了一个动态模型来检查信息轻推如何在三部分关税结构下影响数字服务的消费者使用行为和福利。我们研究了两种类型的信息轻推:通过全部信息提供轻推和通过部分信息提供轻推。在前者中,提供信息推送以在计费周期的每个决策点通知消费者他们的使用状态。相比之下,在后者中,消费者在一个计费周期内被推动到一个或多个决策点,而不是在整个计费周期内。我们的模型考虑了消费者异质性的两个维度:注意力不集中和偏好。此外,我们的模型研究了信息轻推的一个重要但研究不足的设计元素,即信息轻推的时间。我们发现(1)通过信息提供推动影响不专心的消费者的使用决策并提高消费效率,(2)消费者从完全信息推动中获得的福利收益描绘了一个倒 U 形,取决于消费者的偏好异质性,以及(3)轻推事项的时机。我们的研究结果为信息轻推策略和程序的设计提供了管理启示。最后,我们在消费者移动数据使用行为的背景下实证地说明了分析结果。我们的研究结果为信息轻推策略和程序的设计提供了管理启示。最后,我们在消费者移动数据使用行为的背景下实证地说明了分析结果。我们的研究结果为信息轻推策略和程序的设计提供了管理启示。最后,我们在消费者移动数据使用行为的背景下实证地说明了分析结果。

更新日期:2022-04-11
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