ISSN 0439-755X
CN 11-1911/B

心理学报 ›› 2023, Vol. 55 ›› Issue (2): 286-300.doi: 10.3724/SP.J.1041.2023.00286

• 研究报告 • 上一篇    下一篇


龚诗阳1, 张义博2, 高月涛2()   

  1. 1北京师范大学经济与工商管理学院, 北京 100875
    2厦门大学管理学院, 厦门 361005
  • 收稿日期:2022-02-25 出版日期:2023-02-25 发布日期:2022-11-10
  • 通讯作者: 高月涛
  • 基金资助:

Sleep deprivation and post-purchase regret: Evidence from large-scale individual-level data

GONG Shiyang1, ZHANG Yibo2, GAO Yuetao2()   

  1. 1Business School, Beijing Normal University, Beijing 100875, China
    2School of Management, Xiamen University, Xiamen 361005, China
  • Received:2022-02-25 Online:2023-02-25 Published:2022-11-10
  • Contact: GAO Yuetao


睡眠剥夺正在成为人们面临的一种普遍问题, 但是已有研究很少将睡眠剥夺与消费者行为联系起来。本文采用真实购物情境下的大规模消费者个体层面数据(N = 1625472), 通过建立计量经济学模型来研究睡眠剥夺与购物后悔的关系。结果表明, 睡眠剥夺显著地增加了消费者的购物后悔倾向, 具体在行为上表现为增加了商品的退货概率和加快了商品的退货速度。此外, 商品的价格正向调节了睡眠剥夺对购物后悔的影响, 而促销优惠金额的比例则负向调节了睡眠剥夺对购物后悔的影响。

关键词: 睡眠剥夺, 购物后悔, 商品退货, 大规模个体层面数据


Sleep problems have become a very common phenomenon in modern society, but few studies have directly explored the impact of sleep deprivation on consumer choice and decision-making behavior. This study combined the common late-night shopping scene in the current market and the theory of ego-depletion. This study speculated that when consumers shopped during sleep-deprived time, they were more likely to make impulsive or unplanned actions due to lack of sufficient cognitive resources. Furthermore, this study postulated that purchase decisions were more likely to have regrets and return behaviors in the subsequent process. In addition, the moderating effect of two promotional cues (product price/discount ratio) was explored.
The data comes from a large domestic e-commerce retail platform. The data contains shopping behavior data at the individual consumer level from June 1 to July 31, 2021, with a sample size of 1, 625, 472. With minute-accurate purchase time information, we can distinguish between purchase orders generated during sleep-deprived and non-sleep-deprived periods. This paper used the Logit regression model to estimate the customer's return probability, and used the Cox risk model to analyze the relationship between sleep deprivation and return speed. Finally, the adjustment variables were added to the Logit regression model for verification.
This paper derives several findings. First, it shows that sleep deprivation can significantly increase consumers' shopping regret behavior, which is manifested as increasing the probability of product returns and accelerating the speed of product returns. Second, this paper finds that product price positively moderates the effect of sleep deprivation on shopping regret, while the preferential ratio of promotional activities negatively moderate that effect.
The findings help understand how sleep deprivation affects consumer behavior, i.e., consumers were more likely to experience shopping regrets (e.g., returns) after shopping during sleep-deprived periods compared to other times of the day, while promotional depth negatively moderates the effect of sleep deprivation on shopping regret. The results of the study suggest that consumers should try to minimize shopping during the period from 12:00 a.m. to 5:59 a.m. in the morning. If shopping during this period, they need to pay more attention to the central information of products and promotions. In the meanwhile, this study suggests that companies can consider adjusting the time of promotional activities from sleep deprivation periods to other periods, so as to reduce the increase in operating costs due to consumer shopping regrets and the increase in return rates.

Key words: sleep deprivation, post-purchasing regret, product return, large-scale individual-level data


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