درخت حوزه‌های تخصصی

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: This study aimed to plan and validate the product creativity evaluation model in architectural education. According to three product creativity evaluation models: CPAM, CSDS and PCMI. Methodology: The research was applied in terms of purpose and in terms of data collection among descriptive studies was correlational and in terms of method was mixed exploratory research. The statistical population in the qualitative section included all experts in education and creativity in Mashhad. A sample of 10 people was selected by purposive sampling using the principles of theoretical saturation from the mentioned community. In the quantitative part, the statistical population included all university professors in the field of architecture in Mashhad, and 150 people were selected by random sampling. The required data was collected in the summer of 2020 using semi-structured interviews and upstream documents in the qualitative phase. The measurement tool in the quantitative section was a researcher-made questionnaire whose construct validity was calculated using factor analysis, and the reliability value through Cronbach's alpha coefficient was 0.82. The researcher carried out qualitative data analysis using the thematic analysis coding approach developed by Braun and Clarke and quantitative data analysis using the partial least squares method. Findings: The results revealed that five components with 12 indicators make the status of novelty with two markers of originality and surprise. Relevance to the problem includes two indicators of regulatory compliance and practicality. In addition, the effectiveness of solutions has three indicators, namely meeting the needs of contacts, being environmentally friendly, and having durability. Design elements include two indicators, details (well-defined component) and elegance, and the collection of design elements contains the three indicators of harmonization, completeness, and well-formation (well-crafted) at the 95% confidence interval (p = .001). In addition, confirmed element analysis of the obtained components revealed that all factor loads were significant, and there is an acceptable agreement between the creativity model of architectural design products and the data. The heavy element load related to novelty (0.91) and the light one are related to the collection of design elements. Conclusion: Based on the findings, it can be concluded that according to the experts, the factor of novelty, such as originality and surprise, along with functional factors such as relevance, effectiveness, and artistic factors consisting of the design of elements, and the collection of design elements affects the designing creativity evaluation model of problem-solving results.