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Effective employee strategies for remote working: An online self-training intervention
Journal of Vocational Behavior ; : 103857.0, 2023.
Article in English | ScienceDirect | ID: covidwho-2229415
ABSTRACT
This paper examines whether employees' strategies to recognize (through self-recognition) and regulate (through job crafting, work-family management, and recovery) their internal and external demands and resources help them retain their well-being and performance during the COVID-19 pandemic. It also examines whether an online self-training intervention can stimulate the use of these strategies. A randomized control trial with a waitlist control group and pre-post measure (N intervention group = 62, N control group = 77) was executed, consisting of four modules with videos, exercises, and three assignments. Participants of the intervention group reported improved self-recognition (noticing, self-focused emotional intelligence), job crafting (seeking resources and challenges), recovery (psychological detachment and relaxation), and reduced work-family conflict. Moreover, the intervention group reported reduced fatigue and increased happiness with life and task performance after the intervention. Improvements in self-focused emotional intelligence, relaxation, and reduced work-family conflict could explain the progress of these distal outcomes. This study reveals the strategies that can help employees to maintain high levels of well-being and performance while working from home and how to improve them using an evidence-based self-training intervention.
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Full text: Available Collection: Databases of international organizations Database: ScienceDirect Type of study: Experimental Studies / Randomized controlled trials Language: English Journal: Journal of Vocational Behavior Year: 2023 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: ScienceDirect Type of study: Experimental Studies / Randomized controlled trials Language: English Journal: Journal of Vocational Behavior Year: 2023 Document Type: Article