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工作自主性、工作-家庭干扰和人口统计学特征的配置如何提升工作满意度:一项使用模糊集定性比较分析的实证研究

How the configurations of job autonomy, work-family interference, and demographics boost job satisfaction: an empirical study using fsQCA.

作者信息

Wu Jing, Zhou Jianan

机构信息

School of Economics and Management, Southwest Jiaotong University, No.111, North Erhuan Road, Chengdu, 610031 China.

出版信息

Asian Bus Manag. 2022;21(4):547-568. doi: 10.1057/s41291-020-00138-8. Epub 2020 Oct 16.

DOI:10.1057/s41291-020-00138-8
PMID:40477184
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7565726/
Abstract

In the gig economy era, job characteristics that affect employees' job satisfaction have undergone significant changes. However, this has not been studied adequately in the context of Asia. This study applies the job demand-resource model to understand the effect of job autonomy and work-family interference on the job satisfaction of full-time and part-time employees in China, while considering the role of demographics. A total of 415 respondents were analyzed through fuzzy set qualitative comparative analysis. The results show that the employees' demographics have a corrective effect on the impact of job characteristics and job satisfaction. This study also identifies six causal conditions for the high job satisfaction of full-time employees and three causal conditions for part-time employees. Our research finds that full-time employees need high job autonomy, while part-time employees need low work-family interference. The results provide guidelines for managers to redesign jobs in the era of the gig economy.

摘要

在零工经济时代,影响员工工作满意度的工作特征发生了重大变化。然而,在亚洲背景下,这方面的研究还不够充分。本研究应用工作需求-资源模型,在考虑人口统计学因素作用的同时,理解工作自主性和工作-家庭冲突对中国全职和兼职员工工作满意度的影响。通过模糊集定性比较分析,对415名受访者进行了分析。结果表明,员工的人口统计学因素对工作特征与工作满意度之间的影响具有修正作用。本研究还确定了全职员工高工作满意度的六个因果条件和兼职员工的三个因果条件。我们的研究发现,全职员工需要较高的工作自主性,而兼职员工需要较低的工作-家庭冲突。研究结果为管理者在零工经济时代重新设计工作提供了指导方针。

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Fostering Flexibility in the New World of Work: A Model of Time-Spatial Job Crafting.在新的工作世界中培养灵活性:一种时空工作重塑模式。
Front Psychol. 2019 Mar 19;10:505. doi: 10.3389/fpsyg.2019.00505. eCollection 2019.
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