ارزیابی عملکرد

In the field of improving organizational performance, innovation creation systems are of great importance, and evaluating the performance of these systems is also very important. Using data envelopment analysis as a quantitative method for performance evaluation allows organizations to examine the performance of different units according to their inputs and outputs. In this study, due to the presence of random inputs and outputs, the accuracy and validity of the evaluation results increase, and a better analysis of the performance of innovation systems can be achieved. In the present study, the performance of the organizational innovation creation system is evaluated using network data envelopment analysis with random inputs and outputs. This study was conducted with the approach of examining and comparing the efficiency of knowledge-based companies in terms of establishing an innovation creation system, and the mixed network data envelopment analysis technique with random inputs and outputs was used to examine the efficiency. In addition, the companies were prioritized using the Anderson-Patterson method.

The Alzheimer's disease, a progressive brain disorder, necessitates timely detection for effective management due to the current diagnostic methods' limitations. The study presents an efficient convolutional neural network (CNN) designed for classifying brain magnetic resonance imaging (MRI) images into four categories related to Alzheimer's disease. To enhance diagnosis, this study proposes two distinct approaches at different stages: (1) using optimized data pre-processing; and (2) designing a lightweight CNN architecture with low complexity and fewer parameters that simultaneously possesses good accuracy, computational efficiency, and excellent performance. The proposed method achieved outstanding results, with a final accuracy of 99.22%, a macro average F1 score of 0.99, an MCC of 0.9870, and a Cohen kappa score (CKS) of 0.9870. In addition to accuracy, the complexity of the proposed model, including the comparison of model size, time elapsed, the number of FLOPs, and the trainable and non-trainable parameters of the proposed method were also thoroughly investigated. This model, with the advantages of high accuracy, reduced FLOPs, faster execution time, and lower memory requirements outperforms other deep learning methods used in recent studies.

Employee performance management has many obvious and hidden achievements for the organization, because its proper implementation improves employee performance and thus improves the productivity of the organization. The purpose of this study was to design indicators for evaluating the performance of physical education and sports in the provincial administration of the Technical and Vocational University of Iran; The present study was mixed (qualitative-quantitative) in terms of practical purpose and in terms of data collection, which was done in three stages; In the first stage, semi-open interviews with 8 experts and extracting concepts from their interviews and then using 22 experts to prioritize and compile indicators using fuzzy Delphi technique and hierarchical analysis and Finally, in order to develop a tool to evaluate the performance of physical education departments of the Technical and Vocational University using a sample of 172 people and modeling structural equations (5q

With increasing competition in the Iranian banking system, banks should always evaluate their performance and use appropriate models to rank and compare with organizations that have similar activities. The purpose of this study was to identify the interactive relationships between performance appraisal indicators because in the real world the causes affecting the occurrence of a phenomenon cannot be considered independent of their effects on each other. This study is based on a mixed approach; at the qualitative step, the study seeks to identify indicators, components and dimensions of performance evaluation in the banking industry and at the quantitative step, it seeks to analyze the structure of relationships between dimensions and components using two methods of interpretive structural modeling (ISM) and fuzzy DEMATEL. In the qualitative part of the research, based on the data collected through semi-structured interviews with experts in banking, thematic analysis and MAXQDA software, local indicators, components and dimensions of performance appraisal in the Iranian banking industry consistent with economic, social, cultural structures were identified. Based on the results, the performance appraisal model in the country's banking industry includes six main dimensions. Based on the items extracted and identified from interviews with experts, these dimensions included risk management, economic indicators, operating environment, internal stakeholders, and the production and development of services, along with a forward-looking dimension. In addition, the results of ISM showed that the two dimensions of risk management and internal stakeholders were of the highest importance in the field of performance appraisal in the banking industry. In addition, the results of the fuzzy DEMATEL method showed that the risk management dimension is the most effective and the economic indicators dimension is the most impressionable compared to the other dimensions.

The present study is a development-applied research in terms of purpose because it intends to "identify the factors evaluating the performance of the Technical and Vocational Education Organization of the country" and thus help the designers of the organization to adopt the optimal form of the organization. In the present study, based on the objectives and hypotheses of the research, tools such as questionnaires and interviews were used. This study uses the opinion of experts to examine the factors and indicators of performance evaluation in this organization. The results show that the first factor affecting performance appraisal in technical and professional organizations is empowerment. The second factor influencing performance appraisal in a technical and professional organization is process modification. The third factor influencing performance appraisal in a technical and professional organization is productivity. The fourth factor influencing performance appraisal in technical and professional organizations is education. The fifth factor influencing performance appraisal in technical and professional organizations is knowledge transfer. The sixth factor influencing performance appraisal in technical and professional organizations is financial management. And these factors can be effective in improving the performance of the organization and optimizing resources.

Nowadays, the cost of maintaining and maintaining an equipment over time can be much higher than the cost of buying it. As a result, decisions on how to plan and maintain maintenance activities can have a significant impact on the total cost of a physical asset's lifespan. The main purpose of this study is to provide a framework for measuring the causal relationships of performance management system maintenance criteria with physical asset management approach in defense industries. In order to achieve the goals and answer the research questions, this research was conducted in two steps. In the first step, by studying the scientific literature and obtaining expert opinion on maintenance issues, physical asset management was identified based on the extracted main dimensions and based on the preparation of the first questionnaire. After collecting expert opinions, 11 main criteria of localization were selected and selected. In the second step, the interpretive structural method was used to influence the factors of these criteria. The results indicate that in the defense industry, among the identified variables, the process of decay and standardization of equipment knowledge have high penetration power and low dependence.

Dramatic changes in the present era of knowledge management evaluation system is inevitable , so the lack of evaluation of the various aspects of the organization , including the evaluation of resources , personnel , objectives and strategies , as a symptom of disease organizations are considered . Each agency to determine the appropriateness and quality of their activities , especially in complex and dynamic environments are needed to evaluate the system . The lack of systematic evaluation and monitoring system means a lack of communication with internal and external environment of the organization is regarded as and death organiaztion consequences caducity .

Today all countries are attempting to increase their investments in research. In this order, industrial and developed countries to preserve their current position, or to advance themselves on the scene of global competition, in research investments, while developing countries have understood that for fundamental solution to their social and economic problems and real development, they have no other choice of increasing their research investments. In Iran, attention to research has noticeably extended in recent decade. Development of graduate studies in universities especially in PhD level led to the rapid rise and dramatic science production in the fields of basic and applied science. Development of technologies which are necessary for converting science to production, can’t be achieved by research activities in graduate level in universities. Thus, main aims of research centers established in universities are for practical and professional research for developing technologies. A regular and continuous performance evaluation for these research centers is needed for considering their aims with useful and effective indexes. In this article, a new model is designed for performance evaluation of research centers, and as a case study the model is used for the performance evaluation of some research centers in Amirkabir University of Technology. One of It ‘s results can determine research centers activities orientation and university uses for more support of research centers that are active more than others. . Some of research centers are weak in performance rank,is studied and university must take necessary action for solving of their problems.