Designing a hybrid model based on Fuzzy MICMAC approaches and network analysis process to evaluate the indicators of coaching competencies in Tejarat Bank

The interest in applying coaching styles is growing among managers of organizations. Organizations are looking for this management method to commit their workforce using coaching skills and achieve individual and organizational performance. However, no research or literature has been conducted on coaching competencies that provide the most significant improvement in individual and organizational performance for these organizations, especially banks. In the present study, all the effective indicators in coaching competencies were identified through a documentary study to meet this challenge, comprehensively and systematically using the fuzzy Delphi method and the opinion of 10 experts. Interpretive structural modeling/Fuzzy MICMAC approach was used to regulate and direct the complexity of relationships between indicators. The network analysis process method was used to identify the indicators that bring the most performance improvement in the field of coaching competencies to Tejarat Bank. The results showed that the "coaching mindset" cluster and "long-term performance enthusiasm" index is more important and influential in the coaching competency indicators in Tejarat Bank compared to the other clusters.