The effect of telework on reducing staff burnout during Covid-19 restrictions (Case study: Sistan and Baluchestan University)

Document Type : Research Paper

Authors

1 Assistant Professor, Department of Management, Zahedan Branch, Islamic Azad University, Zahedan, Iran.

2 PhD. Student, Department of Management, Zahedan Branch, Islamic Azad University, Zahedan, Iran.

Abstract

Abstract
Corona is an unpleasant fact that telecommuting is one of the consequences of an organizational perspective. It seems that if there is a good pattern for telecommuting, it can help reduce burnout and turn the corona threat into an opportunity. In this regard, the present study aimed to investigate the effect of telework on reducing burnout in Sistan and Baluchestan University staff during the limitations of corona disease. The aim of this study is applied research that has been done by the mixed method. Also, in terms of method and time frame of data collection, it is cross-sectional survey research. The statistical population in the qualitative section includes 13 experimental and theoretical experts in the field. In the quantitative part, the views of 70 employees of Sistan and Baluchestan University have been used. Data collection tools were semi-structured interviews and researcher-made questionnaires. Content analysis, structural-interpretive modeling, and partial least squares were used to analyze the data. The results of this study show that the organizational structure of the university and the infrastructure of telecommuting have a high power of influence and the development of telecommuting strategy affects systematic telecommuting education and telecommuting executive policy and these factors also significantly balance work and life during COVID-19 illness.
Introduction
One of the immediate consequences of stress in organizations is the phenomenon of burnout. This phenomenon can have dramatic negative effects on the quality of family life and occupations of individuals and therefore has been considered as a serious issue. In addition to everyday stress, our world today is challenged by an unprecedented outbreak of disease that significantly negatively impacts society and the efficiency of operations and supply chain management business models. Covid-19 disease, the most important challenge to humanity since World War II, has led to a wider global crisis. A crisis in which events or sequences occur on a large scale and have a staggering speed that leads to uncertainty and increased irregularities and, as a result, a feeling of controllability and emotional disturbance in individuals (Taghva, 2021). In order to prevent the spread of the disease more widely in society, many countries around the world have decided to quarantine and close businesses completely, and due to the need to minimize the physical presence of people in the workplace, many organizations have resorted to methods such as telecommuting (Taghva, 2021). Recent evidence also suggests that the emergence of the corona crisis has a significant relationship with increasing employee burnout rates (Sasangohar et al., 2020). Since universities have a critical role in influencing the education and growth of the young and future generation, as well as the development and application of various sciences and the development of culture and economics and value creation in society, burnout in university staff can be Left the destructive and irreparable effects. Therefore, the present study aimed to investigate the effect of telework on reducing burnout in Sistan and Baluchestan University staff during coronary heart disease.
Case study
This research was conducted in Sistan and Baluchestan University and in the research process, the professors and staff of this university were used as a statistical population.
Materials and Methods
This study is a practical research and case study that aims to present and evaluate the credit model of the effect of telework on burnout in space-time. The data collection method is also a cross-sectional survey and the type of data can be done, it is also mixed research that has been done with qualitative-camp methods. The statistical population of this research in the qualitative and model presentation section includes theoretical experts (university professors of management) and experimental experts (managers of Sistan and Baluchestan University) who have at least ten years of management experience. The main tools for collecting research data are interviews and researcher-made questionnaires. The interview consisted of 6 initial questions and was conducted in a semi-structured manner. Data analysis was performed in the qualitative phase with MaxQDA software and in the quantitative phase with MicMac and Smart PLS 3 software.
Discussion and Results
Based on the results, it was found that the variables of the organizational structure of the university and the telecommunications implementation infrastructure are in the fifth level of the model. In explaining this finding, it can be stated that the mentioned variables are the most influential model variables that affect other variables and are not affected by the variable. Based on the research findings, it was shown that the variables of systematic telecommuting education and telecommuting executive policy are at the third level of the model. Explaining this finding, it can be said that these variables are influenced by the variables of the organizational structure of the university and telecommunications implementation infrastructure, and by improving their status, systematic telecommuting education and telecommuting executive policy are also directly improved and upgraded. Also, it was found that the variable of telecommuting strategy formulation is at the fourth level of the model. Explaining this finding, it can be said that the variables of systematic telecommuting training and telecommuting executive policy have a direct effect on the variable of telecommuting strategy. The results showed that work-life balance variables are in the second level of the model. In explaining this finding, it can be said that the mentioned variable is affected by other variables mentioned in the previous levels of the model, and changes and improvements in each of them will lead to improving the status of this variable. Finally, it was shown that the burnout reduction variable is at the first level of the model. In explaining this finding, it can be stated that the variable of reducing burnout is the most influential variable of the model and does not affect another variable. 
Conclusion
The results of this study, which aimed to investigate the effect of telework on reducing Corona in Sistan and Baluchestan University staff during the limitations of the corona, show that the infrastructure of telework has a positive and significant effect on the development of telework strategy; Developing a telecommuting strategy has a positive and significant effect on systematic telecommuting education; Developing a telecommuting strategy has a positive and significant effect on the telecommuting executive policy; Systematic telecommuting training has a positive and significant effect on work-life balance; The telecommuting executive policy has a positive and significant effect on work-life balance, and the work-life balance has a positive and significant effect on reducing burnout. In other words, by establishing the proposed research model, it is possible to prepare for the reduction of burnout at the University of Sistan and Baluchestan during the Corona.

Keywords

References

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