Optimizing work and off-job motivation through proactive recovery strategies

IF 16.8 Q1 PSYCHOLOGY, MULTIDISCIPLINARY
Miika Kujanpää, Anja H. Olafsen
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引用次数: 0

Abstract

Two employee-level experiences — off-job recovery and optimal work motivation — are vital for reducing or avoiding work stress and promoting occupational health and work performance. However, the interplay between employee recovery and motivation has been theoretically underdeveloped in prior research. In this Perspective, we present a dual-pathway model of proactive recovery strategies that integrates key concepts from the fields of recovery from work and self-determination theory. This model delineates how individuals can self-manage their off-job time through proactive recovery strategies to optimize motivation across life domains, with potential positive effects for occupational health and work performance. The dual-pathway model of proactive recovery strategies broadens the existing literature on employee recovery and motivation by considering off-job motivation as a key motivational process that connects recovery experiences to motivation, health and performance in the work domain, and by highlighting the often proactive nature of recovery attainment. Off-job recovery and optimal work motivation are vital for reducing or avoiding work stress and promoting occupational health and work performance. In this Perspective, Kujanpää and Olafsen propose a dual-pathway model of proactive recovery strategies that delineates how individuals can self-manage their off-job time through proactive recovery strategies to optimize motivation across life domains.

Abstract Image

通过积极主动的恢复策略优化工作和非工作动机
员工层面的两种体验--脱产恢复和最佳工作动力--对于减少或避免工作压力、促进职业健康和工作绩效至关重要。然而,在以往的研究中,员工恢复和工作动力之间的相互作用在理论上还不够完善。在本《视角》中,我们提出了一个主动恢复策略的双通道模型,该模型整合了工作恢复和自我决定理论领域的关键概念。该模型描述了个人如何通过积极主动的恢复策略来自我管理其工作以外的时间,从而优化各生活领域的动力,并对职业健康和工作表现产生潜在的积极影响。积极主动恢复策略的双途径模型拓宽了现有关于员工恢复和动机的文献,它将非工作动机视为一个关键的动机过程,将恢复体验与工作领域的动机、健康和绩效联系起来,并强调了实现恢复通常具有的积极主动的性质。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
9.30
自引率
0.00%
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