Fuzzy Regression: A New Model Data Analysis for Post-COVID-19 Affected Persons
Keywords:
work-family conflict, post covid 19 effects, organizational commitment, organizational support, Fuzzy Regression modelAbstract
The purpose of this work is to analyse the post covid 19 effects experienced by the employees in connection with their family experiencing the interrelation between the work-family conflict and Family feuds which includes the entire satisfaction in their life along with organisational support and organizational commitment. The statistical analysis was done by making 200 employees of a cashew factory to participate in the analysis by conducting the relational survey model. The data analysis was done using the information collected by online questionaries and by doing T-test, F-test, and Deep Canonical Correlation Analysis (DCCA) along with the analysis done using the Fuzzy Regression model (FRM). The data needed for the analysis was gathered using Questionnaire, Job Nature scale, work family and family work conflict scale etc for finding the connection between the Nature of job and job satisfaction. A fuzzy regression model is implied for evaluating the functional connection between the independent variables in the fuzzy based environment. It also focuses on the roles played on organizational commitment by maintaining the connection between the organisational support and the Family feuds. The results proves that the women employees are suffering more due to post-COVID-19 effects than male employees in consideration with the psychological dimensions. The obtaining results supports the policymakers of industries to develop the various strategies which will minimize the effects of post covid 19 effects for creating efficient and sustainable employee performance.
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