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        1 - Presenting a model for attracting human resources with a human resources development approach in government organizations (Case study: Khorasan Razavi province)
        Saeed  Keramati Tavalllaei habibolah doaei Abolfazl  Kazemi
        This article aims to provide a model of human resource absorption with the development of human resources in government organizations. In terms of purpose, the present study is an applied-developmental research and in terms of data collection method, it is a cross-secti More
        This article aims to provide a model of human resource absorption with the development of human resources in government organizations. In terms of purpose, the present study is an applied-developmental research and in terms of data collection method, it is a cross-sectional research. To achieve the research goal, a mixed exploratory design has been used. The statistical population in the qualitative section includes managers of government organizations in Khorasan Razavi province. Purposeful sampling was performed and 15 people achieved theoretical love. The statistical population also includes 6000 human resources of government organizations, which with the Cochran's formula is estimated at a sample size of 345 people. The required sample size was provided by stratigraphic sampling method in four regions of Khorasan Razavi province. Interviews and questionnaires were used to collect data. The basic categories of human resource development were identified by content analysis method and the final model was identified by validation equation modeling method. Qualitative data analysis was performed with Maxqda software and quantitative data with LISREL. The results of comprehensive categories are categorized in terms of technical, human and value factors. Organizing factors also include skill, knowledge, attitude, behavior, adherence to values, pragmatism, economic, technological, social, cultural, revolutionary, powerful. Technical factors consist of knowledge, skills, economic factors and technology. Human factors include attitudes, behaviors, social and cultural factors. Finally, value factors include adherence to values, pragmatism, revolutionary factors, and authority. Manuscript profile
      • Open Access Article

        2 - Performance evaluation model of educational centers using artificial neural network: One of the government organizations in the country
        zaman azhdari Hosein Abdollahi samad Borzoian morteza Taheri mostafa Ebrahimpour Azbari
        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. Manuscript profile