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The Effects of Organizational Structure on Employees’ Productivity in Private Universities of Nangarhar Province
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The study examines the effects of organizational structure on employee’s productivity in private universities of Nangarhar province. The stratified random sampling technique is used for collection of the data from the corresponding respondents. The simple size of the study is 120 employees working with the private universities. The simple regression technique is used to assess the effects of organizational structure on employee’s productivity in private universities in Nangarhar province of Afghanistan. The findings indicates that the total variation in the employee’s productivity is 47.4 percent due to the organizational structure, while the remaining variation is due to other factors that are not included in the model. The adjusted R2 value is 0.467, which shows that fluctuations in independent variables account 46.7 percent in case of adding or dropping variable from the model. The results further demonstrate that F-statistics value of 253.69 and an f-statistics probability of 0.000 robustly demonstrate that the overall model is significant. In other words, this demonstrates that the model is well due to its probability is less than 5% fit. In other words, this model truly represents the effects of organizational structure on employee productivity in private universities of Nangarhar province. This suggests that the employee’s productivity rises by 0.314 units for every unit that the value of organizational structure changes, provided that all other parameters remain the same. As a result, it was discovered that organizational structure has a statistically significant influence on the employees’ productivity in private universities of Nangarhar province. The effect of organizational structure is significant at 5% significance level. The study recommend emphasis on improving the organizational conditions to increase the performances of employees in private universities of Nangarhar province.
Title: The Effects of Organizational Structure on Employees’ Productivity in Private Universities of Nangarhar Province
Description:
The study examines the effects of organizational structure on employee’s productivity in private universities of Nangarhar province.
The stratified random sampling technique is used for collection of the data from the corresponding respondents.
The simple size of the study is 120 employees working with the private universities.
The simple regression technique is used to assess the effects of organizational structure on employee’s productivity in private universities in Nangarhar province of Afghanistan.
The findings indicates that the total variation in the employee’s productivity is 47.
4 percent due to the organizational structure, while the remaining variation is due to other factors that are not included in the model.
The adjusted R2 value is 0.
467, which shows that fluctuations in independent variables account 46.
7 percent in case of adding or dropping variable from the model.
The results further demonstrate that F-statistics value of 253.
69 and an f-statistics probability of 0.
000 robustly demonstrate that the overall model is significant.
In other words, this demonstrates that the model is well due to its probability is less than 5% fit.
In other words, this model truly represents the effects of organizational structure on employee productivity in private universities of Nangarhar province.
This suggests that the employee’s productivity rises by 0.
314 units for every unit that the value of organizational structure changes, provided that all other parameters remain the same.
As a result, it was discovered that organizational structure has a statistically significant influence on the employees’ productivity in private universities of Nangarhar province.
The effect of organizational structure is significant at 5% significance level.
The study recommend emphasis on improving the organizational conditions to increase the performances of employees in private universities of Nangarhar province.
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