Over the past few decades, the implementation and application of performance management methods to improve service provision and the acquisition of key impacts have been key elements in the development of human resources development in governments. Considering the state More
Over the past few decades, the implementation and application of performance management methods to improve service provision and the acquisition of key impacts have been key elements in the development of human resources development in governments. Considering the state of the country's administrative system regarding performance management for the development of human resources and considering that the model being implemented today does not have the ability to properly assess employees, the main objective of this research is to design a model of performance management with the approach of HR development in the administrative sector was considered. This research has been implemented with qualitative content analysis method in the field of model extraction and based on a field survey to evaluate it, which led to the design of performance management model for human resource development in government agencies. The main dimensions of this model include the impact of human capital strategy on organizational strategy and reference laws; the coordination of accountability process; the relationship of responsibility and authority with employee performance appraisal; the impact of evaluation strategies on the process of employee performance evaluation; the existence of a significant relationship between the individual characteristics of employees and their evaluation process; Finally, the effect of the relationship of labor relations on employee performance management.
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The purpose of this study is “to design a model for evaluating the performance of educational centers of one of the government organizations in the country using artificial neural network”. This is an evaluation study to evaluate the performance of public organizational More
The purpose of this study is “to design a model for evaluating the performance of educational centers of one of the government organizations in the country using artificial neural network”. This is an evaluation study to evaluate the performance of public organizational educational centers. The information required for this research was collected through parallel information channels such as using the documents of educational centers under the organization and referring to their documents while maintaining the classification level. The statistical population of this study was five educational centers, one of the government organizations that hold educational courses for about 10 thousand personnel between 2013 and 2020; Based on the opinion of experts and the results of related studies, the inputs and outputs of the research were selected and determined. In order to reduce the input and output variables, the structural equation modeling method - partial least squares were used. In order to train the MLP bilayer neural network, the training method was used. After the teaching of neural network. The performance of neural network was examined through test patterns. The value (mean square error) of the MSE corresponds to 13 equal test patterns and 74/7413, which indicated the high accuracy of the trained network. Finally, the performance of the educational centers was ranked based on the analyzed data.
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