A study on work-life balance in the era of work from home with reference to understanding the change in perceived job satisfaction through statistical analysis

Q4 Mathematics
S. Neogi, A. Jason, A. Selvakumar
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引用次数: 0

Abstract

Working from anywhere or Working from Home has been prevalent in many developed countries, specifically in the IT sector. Still, the pandemic brought in the wave for such concepts in India, and the people here were not ready for it socially and culturally. As it was an unforeseen and forced situation here in the country, its adaptability raised several questions and issues in the minds of employers and employees. With the shift happening in work culture, which is, working from home due to the pandemic, many changes have crept into the employees’ minds. One such notable arena, which should be addressed for better human resources management and efficiency, is perceived job satisfaction and understanding the employees’ work-life balance amidst these changes. In the study, 90 employees from selected IT companies at various levels are under consideration to understand their perseverance of job satisfaction and work-life balance in and before the change. The stability and the effects of the different attributes on the subject are studied. Statistical tools like Multiple Regression Analysis, Pearson Correlation, and Z-test are used.
在家工作时代的工作与生活平衡研究——通过统计分析了解感知工作满意度的变化
在许多发达国家,特别是在IT行业,在任何地方工作或在家工作已经很普遍。尽管如此,大流行还是在印度掀起了这种概念的浪潮,这里的人们在社会和文化上还没有做好准备。由于这是该国不可预见和被迫的情况,其适应性在雇主和雇员心中提出了几个问题和问题。随着新冠疫情导致在家办公的工作文化发生转变,员工们的想法也发生了许多变化。其中一个值得注意的领域,应该解决更好的人力资源管理和效率,是感知工作满意度和理解员工在这些变化中的工作与生活平衡。在这项研究中,我们选取了90名不同级别的IT公司员工,了解他们在变革前后对工作满意度和工作与生活平衡的坚持程度。研究了不同属性对主体的稳定性和影响。统计工具,如多元回归分析,Pearson相关性和z检验被使用。
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来源期刊
Model Assisted Statistics and Applications
Model Assisted Statistics and Applications Mathematics-Applied Mathematics
CiteScore
1.00
自引率
0.00%
发文量
26
期刊介绍: Model Assisted Statistics and Applications is a peer reviewed international journal. Model Assisted Statistics means an improvement of inference and analysis by use of correlated information, or an underlying theoretical or design model. This might be the design, adjustment, estimation, or analytical phase of statistical project. This information may be survey generated or coming from an independent source. Original papers in the field of sampling theory, econometrics, time-series, design of experiments, and multivariate analysis will be preferred. Papers of both applied and theoretical topics are acceptable.
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