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首页> 外文期刊>Journal of Applied Psychology >Making Flow Happen: The Effects of Being Recovered on Work-Related Flow Between and Within Days
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Making Flow Happen: The Effects of Being Recovered on Work-Related Flow Between and Within Days

机译：使流量发生：在几天之内和几天之内被恢复对与工作相关的流量的影响

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This article examines variations of work-related flow both between and within days. On the basis of the effort-recovery model (Meijman & Mulder, 1998),we hypothesized that a person's relative day-specific state of being recovered (i.e., feeling refreshed) in the morning is positively related to subsequent day-level flow experiences during work. Taking into account research on circadian rhythms of human functioning, we further hypothesized that flow experiences follow a U-shaped.pattern within the working day and that feeling recovered will affect this pattern. One hundred and twenty-one software professionals provided data on recovery at the start of the working day and on flow at 3 occasions during the day, for a period of 5 consecutive working days (resulting in 493 day-level and 1,340 occasion-level data points). Three-level multilevel models showed that relative day-level state of being recovered'predicted day-level flow experiences in the hypothesized direction. The data did not support a general curvilinear, U-shaped main effect of flow experiences within the day. However, people in a relatively high state of being recovered in the morning experienced the predicted U-shaped pattern, whereas poorly recovered people experienced a gradual decrease in flow experiences over the course of the working day. This study emphasizes the importance of recovery during nonwork time for flow experiences within the entire working day, thereby extending research on task characteristics with personal resources when examining predictors of flow.
机译：本文研究了几天之间以及几天之内与工作相关的流程的变化。基于工作量恢复模型（Meijman＆Mulder，1998），我们假设一个人在早晨相对于特定于一天的状态（即感到精神焕发）的恢复状态与随后的一天中的流量水平成正相关。工作。考虑到对人类机能的昼夜节律的研究，我们进一步假设流动经历在工作日内呈U型模式，恢复的感觉会影响这种模式。一百一十二个软件专业人员在工作日开始时提供了有关恢复的数据，并且在一天中有3次提供流量，连续5个工作日提供了这些数据（得出493个日级和1,340个偶尔级数据）点）。三级多级模型表明，相对日水平的恢复状态是在假设的方向上对日水平流量的预测。数据不支持一天中流动经验的一般曲线，U形主效应。但是，早晨处于相对较高状态的人们会经历所预测的U形模式，而恢复不佳的人们会在工作日中逐渐减少流量。这项研究强调非工作时间恢复对于整个工作日内的流量体验的重要性，从而在检查流量的预测因素时用个人资源扩展了对任务特征的研究。

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