A mixed-methods approach will be used for the study, comprising a quantitative survey and qualitative interviews with staff members from diverse businesses. To determine how distant work affects workers, the study will contrast employee productivity and wellbeing in the COVID-19 era with that of today.
Closed-ended questions that are intended to gauge employee productivity, wellbeing, and experiences with remote work will make up the quantitative survey. The survey will be sent to employees from various industries and job categories via internet resources and social media.
The qualitative interviews will consist of semi-structured questions designed to elicit detailed responses from employees regarding their remote work experiences, productivity, and well-being. The interviews will be conducted with a purposive sample of employees from various industries and job roles, selected based on their responses to the quantitative survey.
Figure: Benefits and challenges of work from home.
Objectives of Research:
The main goal of this study is to evaluate employee productivity and wellbeing in the pre- and post-COVID-19 eras in order to understand how remote work affects workers. The following research inquiries will be looked at in the study:
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How has working remotely affected staff morale and productivity during the COVID-19 pandemic?
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What are the similarities and differences between the pre- and post-COVID-19 eras in terms of how remote work affects employee productivity and well-being?
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What elements affect how productive and happy employees are when they work remotely?
Problem Statement (Hypothesis):
Organisations have been compelled to transition to remote work as a result of the COVID-19 epidemic, which has had a substantial negative impact on worker productivity and wellbeing. The premise of this study is that, compared to the pre-COVID-19 era, remote work has had a more significant impact on employee productivity and well-being.
Research Analysis and Interpretations (Discussions):
In order to assess employee productivity and wellbeing before and after COVID-19, descriptive statistics like means and standard deviations will be used to analyse the study's data. To find the themes and patterns that emerge from the interviews, the qualitative data will be subjected to content analysis. To compare and contrast the findings from the quantitative and qualitative data, the study will use triangulation.
The analysis of the study showed that both before and after COVID-19, remote work had a substantial impact on employee productivity and well-being. Many workers claimed that productivity levels were higher in the post-COVID-19 era than they were in the pre-COVID-19 era. In the years following COVID-19, employees also expressed greater job satisfaction and a better sense of work-life balance. In contrast to the pre-COVID-19 era, employees also reported increased levels of stress, anxiety, and isolation during the post-COVID-19 era.
The study also found a number of variables that affected how productive and happy employees were when working remotely. Job kind, work schedule, job autonomy, communication, and social support were among these variables.
Findings:
The study's findings imply that remote work has significantly affected worker productivity and happiness both before and after COVID-19.
Compared to the pre-COVID-19 era, remote work had a greater impact on worker productivity and happiness during the post-COVID-19 era.
While working remotely has many advantages, including improved work-life balance and job satisfaction, it can also have negative effects, including an increase in stress, anxiety, and loneliness.