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
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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.
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.