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金钱激励和社交激励对运动行为的促进作用:基于一项在线健身项目的实证研究

Promoting exercise behavior with monetary and social incentives: An empirical study based on an online fitness program

  • 摘要: 鉴于员工身体健康对工作的重要性,很多组织广泛开展健身运动鼓励员工锻炼身体。随着可穿戴设备(例如智能手环)和健身应用(手机健身应用)的广泛使用,越来越多的组织使用在线健身项目形式,员工使用可穿戴设备在线跟踪身体活动来完成健身任务。为了鼓励员工的参与性,在线健身项目通常采用金钱激励或社交激励策略。然而,当这两种类型的激励措施共同使用时,其交互作用却鲜有研究。此外,组织者也缺乏相应的科学知识以设置最佳水平的健身挑战。因此,本研究采用实证研究方法验证金钱激励和社交激励对员工锻炼行为的联合效应。基于国内一所大学在线健身项目的面板数据集,包括 2578 名参与者在100 d内的日常锻炼记录,本研究发现金钱激励和社交激励之间存在挤出效应——当存在未实现的金钱目标时,社交激励(即社会支持和社会传染)的影响相对较弱;一旦实现了金钱目标,社交激励的影响将会变强。此外,本研究还发现当动态目标设定在最佳水平时,参与者的锻炼行为将最大化。本研究的结论将为组织者更好地设计在线健身项目提供理论指导。

     

    Abstract: Due to the importance of employees’ physical well-being, organizations have long been conducting wellness programs to motivate their employees to exercise. The wide use of wearable devices (e.g., smart bands and smartphones) and fitness applications (e.g., fitness mobile applications) enable organizations to shift from offline to online fitness programs where participants use physical activity records tracked by wearable devices to complete fitness tasks and challenges. To better motivate employees’ exercise behavior, online fitness programs widely offer monetary or social incentives strategies. However, little is known about the interaction effects of the two types of incentives when they are jointly offered. Besides, organizers lack knowledge of how to set an optimal fitness challenge for the incentives in online fitness programs. In this study, we obtained a rich panel dataset from a university-wide online fitness program, which includes the daily exercise records of 2578 participants during a 100-day period, to empirically investigate the joint effects of monetary and social incentives on individuals’ exercise behavior. Most interestingly, we found that there is a crowd-out effect between monetary and social incentives—the influences of social incentives (i.e., social support and social contagion) are relatively weaker when there exists an unachieved monetary goal; once the monetary goal has been achieved, the influences of social incentives become stronger. In addition, we found that participants’ exercise behavior can be maximized when the dynamic goal is set at an optimal level. Our findings can help practitioners better design the online fitness programs and the associated fitness technologies.

     

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