弹性工作制对南亚零工工作与生活平衡的影响:Ryff的六因素心理健康模型是否有调节作用?

I. Shahzadi, Saira Rafiq, Umair Ali
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引用次数: 1

摘要

远程工作赋予了灵活性,而这种灵活性可以实现或打破工作与生活的平衡。本研究建立了弹性工作安排与零工工作与生活平衡的关系。此外,还考察了Ryff六因素心理健康模型的调节作用。采用定量研究方法,通过调整问卷收集数据。目标人群是选定的五个Facebook群组的自由职业者。采用SPSS-21进行描述性统计和推理统计。为了调节,我们执行了Peacher和Hayes的过程宏。数据收集自384名受访者。经过中试,我们进行了数据筛选和数据归一化。随后,进行描述性统计(均值、标准差和相关性)和推理统计(通过回归进行假设检验)。灵活的工作安排对工作与生活的平衡有着直接而显著的影响。Ryff心理健康六因素模型的调节作用尚未确立。这项研究为零工经济和其他居家企业/组织在新冠疫情期间提供灵活的工作安排,使他们能够平衡工作和生活责任提供了宝贵的建议。政策含义将在相应章节中详细介绍。这项研究是独一无二的,因为零工行业在南亚的探索较少。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Investigating the Influence of Flexible Work Arrangements on Work-Life Balance in South Asian Gig Workers: Does Ryff's Six-Factor model of Psychological Well-being Moderates?
Remote work endows with flexibility, and this flexibility makes or breaks work-life balance. This research establishes the association of flexible work arrangements with the work-life balance of gig workers. Besides, the moderation of Ryff's six-factor psychological well-being model is also investigated. The quantitative research method was used to collect data via an adapted questionnaire. The target population was the freelancers of selected five Facebook groups. SPSS-21 was used for descriptive and inferential statistics. For moderation, Peacher's and Hayes' process macro was performed. Data were collected from 384 respondents. After pilot testing, We performed data screening and data normality. Later, descriptive statistics (mean, standard deviation, and correlation) and inferential statistics (hypotheses testing through regression) were performed. Flexible work arrangements have a direct and significant influence on work-life balance. The moderating role of Ryff's six-factor model of psychological well-being is not established. This research endows valuable recommendations to the gig economy and other home-shored businesses/organizations to provide flexible work arrangements during the COVID pandemic, so that they could balance their work and life responsibilities. The policy implications are provided in detail in the respective section. This study is unique as the gig sector is less explored in the South Asian context.
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