工作时间员工线上购物行为的前因和对工作绩效的影响：基于工作-家庭资源视角

Abstract

With the rapid development of digital technology and the widespread adoption of e-commerce, online shopping has become an essential part of modern daily life. Although existing studies in marketing and consumer behavior have thoroughly examined the antecedents of online shopping behavior—such as platform characteristics, product attributes, and consumer traits—there remains a notable gap from an organizational management perspective. Traditional literature tends to treat online shopping as a purely private consumption activity, overlooking its dynamic impact on the work–home interface.
his oversight is especially critical in the context of the rising prevalence of remote and hybrid work arrangements, where the relationship between employees’ online shopping behavior and work performance needs to be reexamined.
Based on the Work–Home Resources Model, this study proposes that online shopping behavior may exert complex effects on employees’ work performance and satisfaction through the depletion of resources. Specifically, this study develops a chain mediation model from sleep quality to work performance/job satisfaction through the chain mediation of workplace online shopping behavior and work engagement/affective state to reveal the intricate pathways by which resource depletion in the home domain may affect work outcomes through cross-domain compensation mechanisms. The findings of this study indicate that sleep quality significantly and negatively impacts online shopping behavior in the workplace. Moreover, the time spent on online shopping is negatively correlated with both work performance and job satisfaction, with work engagement and positive affect significantly mediating these adverse effects. Furthermore, among employees with stronger proactive personality, the negative impact of workplace online shopping behavior on work engagement and positive affect was significantly alleviated.
This study makes several theoretical contributions. First, by incorporating online shopping behavior into the work–home interface framework, this study highlights its role as a “work-domain resource depletion behavior,” challenging the conventional categorization of such behavior as solely belonging to the private sphere. Second, by integrating both physiological and psychological resource perspectives—establishing sleep quality as a key physiological resource variable—this research deepens the explanatory power of Conservation of Resources Theory at the physiological level. Third, the findings of this study reveal that while a high proactive personality of employees weaken the negative effects of workplace online shopping behavior, it may also exacerbate resource conflicts, thereby offering new evidence for W-HR model. Lastly, by bridging insights from consumer behavior and organizational behavior, this study proposes a novel framework for managing employee behavior in the digital economy era.
From a practical standpoint, the findings offer several managerial implications.
Organizations can enhance employees’ sleep quality through flexible work schedules,dedicated rest areas, and sleep health training. Providing financial support for employees under significant economic stress and offering psychological detachment training for those with a strong segmentation preference can help alleviate feelings of guilt associated with online shopping. Moreover, employing digital tools to monitor employee behavioral patterns can help identify risks of excessive shopping and enable timely interventions to balance efficiency with well-being. Additionally, organizations should clearly delineate work and home boundaries within remote work policies, allowing reasonable micro-breaks and avoiding rigid, one-size-fits-all management approaches.
The study is not without limitations. The data were collected from a single company,which may limit the external validity of the findings. Future research should aim to validate the model across different industries and cultural contexts. Furthermore, reliance on self-reported data might introduce social desirability bias, suggesting the need to combine such data with objective measures like eye-tracking and physiological indicators. Future studies could also incorporate multi-level variables such as work stress and organizational culture to develop a more comprehensive model of behavior. Additionally, exploring the cumulative effects of online shopping behavior on career development—such as its impact on promotion opportunities and job burnout—would be a fruitful avenue for future research.

Date of Award	27 Apr 2025
Original language	Chinese (Simplified)
Awarding Institution	China Europe International Business School
Supervisor	Katherine Rong Xin (Supervisor) & Ho Kwong Kwan (Supervisor)