مطالب

The purpose of this study is to provide a model with a dynamic system method to investigate the factors affecting the technological capabilities enhancement in the high-tech industries of high-speed train of the rail transportation system. For this purpose, after reviewing the literature and conducting several meetings with experts in the rail transportation industry, a conceptual and qualitative structure of the subsystems and how they relate in this area were obtained. Then, in order to identify the effective dynamics in upgrading technological capabilities in high-tech industries in high-speed rail transportation, causal loops were drawn and the model was simulated with VENSIM software. Then, using a simulation model, the technology development process was modeled based on the developed structure. Finally, in order to consider the uncertainty space, based on the expert’s opinions, two scenarios of optimism and pessimism were considered. Based on the obtained results, variables such as having a suitable vision for technology development, recognizing basic technological priorities, ability to use and control technology effectively in main and support processes, ability to learn from one technology to another, ability to identify, evaluate, negotiate and finalize the terms of technology acquisition and support facilities, the ability to identify customers, announce auction prices and negotiate terms of sale, the ability to plan, monitor and control research and development projects and having  a proper system for evaluating technological projects,  have  great impact.

ELECTRE TRI is the most applicable and developed outranking based classification method in the field of MCDA. By including a large number of parameters, it provides a huge amount of information on criteria which enriches decision making process, although calculation of these large number of parameters is very time consuming and difficult task. To tackle this problem, this paper proposes a new method called NSGA-ELECTRE, by which the NSGA-  algorithm learns ELECTRE TRI and elicits its parameters through an evolutionary process. The proposed method contributes to the literature by utilizing a pair of conflicting objective functions including Type I errors and Type II errors instead of using a single criterion named “classification accuracy” which used frequently in the related works. The proposed bi-objective method is applied to six known credit risk datasets. The NRGA model is used as a benchmark for validation. Computational results indicate outstanding performance of the NSGA-ELECTRE method.

Purpose: The current research proposes a model for elite’s recruitment to Iranian educational organizations based on the ethics and specific cultural contexts of Iranian society. Methodology: This is a combination of two quantitative and qualitative approaches. This is also an applied descriptive-exploratory paper. The primary pattern of research is extracted from the theoretical background and consists of four dimensions (competencies definition, effective factors analysis, competitor’s analysis, and recruitment tools). The final model was extracted and verified through interviewing the experts and the coding process. The cultural components of each dimension are also extracted and clustered according to the experimental data and according to the experts in a 4-step Delphi process. Finally, the current and desired status of the elite recruitment system in educational organizations has been studied using the gap analysis method. Ten companies were selected as sample for the selection of the community by cluster sampling and the questionnaires were distributed among managers and their human resources experts. The GAMS software is used to analyze the data and determine the effectiveness of the coding model. Effectiveness in the current paper is to determine the optimal value of the dimensions. Findings: Based on the findings, the optimum model dimensions (competency definition, effective factors analysis, competitor’s analysis, and recruitment tools) have increased in optimal condition compared to the current situation. One of the most important reasons for this is the existence of cultural barriers to the recruitment process, which impedes the effectiveness of the process and chooses the right and proper. Removing these barriers is one of the essential requirements for optimizing the proposed model. Conclusion: The results showed that there is a significant difference between the current situation and the desired level, which necessitates serious attention to the factors affecting the elite’s recruitment and the development of appropriate mechanisms for their recruitment in educational organizations.

Purpose: The aim of this study was to investigate the relationship between the components of academic performance with personality traits and early maladaptive schemas mediated by self-determination. Method: The research method was descriptive-correlation and structural equation modeling. The statistical population of the present study included all female high school students in Tehran in the academic year 2019-2020. For this purpose, 350 students were selected by simple random sampling. Then their scores were measured through the Academic Procrastination Scale, Solomon and Rothblum (1984), Young Schema Short Form (2003), Neo-Form Short Personality Questionnaire (1985), Guardia, Desi and Ryan (2000) Self-Determination Questionnaire. Path analysis, structural equations and regression test were used. Findings: Pearson correlation coefficient and path analysis showed that there is a positive and significant relationship between all components of academic affiliation with the components of early maladaptive schemas and the role of self-determination is in the relationship between the two(P<00/01). Also, the relationship between all components of academic work and personality traits except psychosis was negative. The relationship between the end-of-semester exam component of academic work with conscientiousness and agreement of personality traits was not significant and the role of self-determination in the relationship between these two variables is indirect. Conclusion: According to the results of the present study, the importance and role of self-determination in reducing academic procrastination can be understood.