درخت حوزه‌های تخصصی

Purpose: Futurology plays a significant role in advancing organizational goals and mitigating organizational problems and challenges. Therefore, the aim of this study was to identify the dimensions and components of Internet of Things development in schools based on future studies. Methodology: In a descriptive qualitative study, 19 academic and organizational experts from the educational sector of Tehran were interviewed in the academic year 2020-2021 using a semi-structured method. In this study, the sample size was determined according to the principle of theoretical saturation and was selected through purposive sampling. The research tool was a semi-structured interview, whose validity was confirmed through triangulation and whose reliability was calculated at 0.88 using the agreement coefficient between two coders. The data of this study were analyzed using thematic analysis in MAXQDA software, version 2020. Findings: The analysis indicated that the development of the Internet of Things in schools based on future studies encompasses 26 components across 7 dimensions. These dimensions include the elimination of time constraints (with 3 components), elimination of spatial constraints (with 4 components), reduction of infrastructure costs (with 4 components), knowledge management (with 3 components), professional competence (with 3 components), information technology (with 3 components), and effectiveness of the educational system (with 6 components). Ultimately, a thematic network for the development of the Internet of Things in schools based on future studies was established. Conclusion: The model of dimensions and components designed in this study can assist specialists and educational system officials in improving the development of the Internet of Things in schools.

Purpose: The aim of the present study was to design and elaborate the neuro-coaching model (neuroscience of coaching) at Isfahan Steel Company. Methodology: This research is an applied study and, in terms of methodology, a mixed-methods (qualitative-quantitative) research. The statistical population of the study consisted of 15 experts from Islamic Azad Universities and managers of the Isfahan Steel Company. In the qualitative section, their opinions were used to identify and code the categories. For modeling purposes, the statistical population included a group of officials from the Isfahan Steel Company. Cochran's formula was used for sampling, resulting in a sample size of 384, and the sampling method was randomly accessible. To identify the factors, interviews were conducted initially, and with the help of open coding, selective coding, and axial coding, categories and concepts were extracted. Findings: The results of included 41 axial codes and 251 open codes. Subsequently, in the next stage, using confirmatory factor analysis, the axial, causal, contextual, intervening conditions, strategies, and outcomes were examined. Finally, consensus was reached on 209 open codes and 40 selective codes. For modeling, structural equations and partial least squares (PLS) with Smart PLS software were utilized. The results indicated that the neuro-coaching model (neuroscience of coaching) at Isfahan Steel Company is underpinned by 8 causal conditions, 8 contextual conditions, 6 intervening factors, and 7 strategies, leading to 11 major outcomes for Isfahan Steel Company. These outcomes include: improved neural process performance, personal growth and development, empowerment and psychological improvement, enhanced interactions and satisfaction, improved performance and cost reduction, psychology and personal relationships, interaction and communications, personal and psychological growth, individual and professional development, interactions and exercises, and the quality and effectiveness of neural solutions. Conclusion: In conclusion, the neuro-coaching model holds significant promise for transforming coaching practices and enhancing organizational outcomes. The integration of neuroscience principles provides a robust framework for developing more effective and scientifically grounded coaching interventions.