Document Type : Research Paper
Authors
Department of Education, Faculty of Education and Psychology, University of Sistan and Baluchestan, Zahedan, Iran
Abstract
The aim of the study is to design the antecedents and consequences model of coach-oriented organization in the Iranian education system using a descriptive-correlational research method. The statistical population of the study was 328 school principals in Zahedan in the academic year 2024-2025.Using a random-stratified sampling method (by gender) and according to the Cochran sampling formula 177 principals were selected. The data collection tool was a 58-item questionnaire that was developed based on research of Golparvar et al. (2023). The structural equation model was used to analyze the data with the help of SmartPLS software. The findings showed that antecedents related to the coach (β=0.32,t=3.86), antecedents related to the coachee (β=0.27,t=3.51), and organizational antecedents (β=0.31,t=3.97) have a positive and significant effect on the formation of a coach-oriented organization. The coach-oriented organization also has a positive and significant effect on the consequences of individual (β=0.78,t=29.35) and consequences organizational (β=0.62,t=17.08). These findings indicate that in order to create a mentor-oriented organization with positive outcomes such as organizational development and excellence, training expert and efficient human capital, improving performance and increasing productivity, improving organizational communications and managing organizational conflicts, creating a learning and teaching organization, and a supportive, uplifting, and motivating organizational environment, attention should be paid simultaneously to human factors (personality traits, knowledge, skills, and attitude of the mentor and trainee) and organizational factors (management and leadership strategies, organizational culture, and organizational structure). Based on the fit indices (NFI=0.667, d_G=0.821, d_ULS=3.705, χ2=776.385 SRMR=0.086), it was determined that the model has appropriate validity.
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