{"title":"Nonlinear Reward Gradient Behavior in Customer Reward and Loyalty Programs: Evidence From the Restaurant Industry","authors":"W. Ko, Tae Ho Song","doi":"10.1177/10963480231226083","DOIUrl":null,"url":null,"abstract":"Reward programs offer rewards, and with further progression toward these rewards, customers become more motivated. This acceleration is called a reward gradient. This study proposes prospect theory as the underlying mechanism of the reward gradient and suggests a nonlinear relationship between motivation and progress level (low vs. middle vs. high). A numerical simulation based on the mathematical model and experiments were conducted to see how the expected values of rewards can change as progress is made, and how this further affects motivation. The results identified a stronger acceleration in the expected value after reaching a middle point of the reward achievement, which is due to a larger deviation in the loss value than the gain value. These findings can help restaurants and tourism companies implement a dynamic perspective in reward programs for enhancing customers’ reward gradient behaviors.","PeriodicalId":369021,"journal":{"name":"Journal of Hospitality & Tourism Research","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Hospitality & Tourism Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/10963480231226083","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Reward programs offer rewards, and with further progression toward these rewards, customers become more motivated. This acceleration is called a reward gradient. This study proposes prospect theory as the underlying mechanism of the reward gradient and suggests a nonlinear relationship between motivation and progress level (low vs. middle vs. high). A numerical simulation based on the mathematical model and experiments were conducted to see how the expected values of rewards can change as progress is made, and how this further affects motivation. The results identified a stronger acceleration in the expected value after reaching a middle point of the reward achievement, which is due to a larger deviation in the loss value than the gain value. These findings can help restaurants and tourism companies implement a dynamic perspective in reward programs for enhancing customers’ reward gradient behaviors.
奖励计划提供奖励,随着这些奖励的不断增加,顾客的积极性会越来越高。这种加速被称为奖励梯度。本研究提出了前景理论作为奖励梯度的基本机制,并认为动机与进展水平(低级 vs. 中级 vs. 高级)之间存在非线性关系。在数学模型和实验的基础上进行了数值模拟,以了解奖励的预期值如何随着进步而变化,以及这如何进一步影响学习动机。结果发现,在达到奖励成就的中间点后,预期值会有更强的加速度,这是由于损失值的偏差大于收益值的偏差。这些发现有助于餐饮和旅游公司在奖励计划中实施动态视角,以增强顾客的奖励梯度行为。