The test of the development model of organizational resilience in the banking industry using factorial analysis (Case study of Kmelli Bank of Iran)
The test of the development model of organizational resilience in the banking industry using factorial analysis (Case study of Kmelli Bank of Iran)
Subject Areas : Financial Knowledge of Securities Analysis
Shahriyar Baghernezhad 1 , Soleyman Iranzadeh 2 , Majid Bagerzadeh Khajeh 3
1 - Ph.D. Candidate, Department of Management, Tabriz Branch, Islamic Azad University, Tabriz, Iran
2 - استاد،گروه مدیریت، واحد تبریز، دانشگاه آزاد اسلامی، تبریز، ایران
3 - Assistant Professor, Department of Management, Tabriz Branch, Islamic Azad University, Tabriz, Iran
Keywords: organizational resilience, resilience factors, confirmatory factor analysis, banking industry,
Abstract :
Target:. Organizations in any sector are faced with complex operational environments with dynamic risks. These complex environments force organizations to consider how they can manage operational risk and the resilience of critical business processes and services. Considering the important role of the banking industry in the stability and promotion of the economic goals and current conditions of the country, making this industry resilient against changes, developments and environmental threats is of particular importance. Design/Methodology/Approach: The strategy of this research is applied in terms of purpose and of the type of qualitative and quantitative research (mixed method). In the qualitative part, a paradigmatic model of resilience capacity development in the banking industry was designed through interviews with some elites and experts using the Foundation's data method. The qualitative statistical population of the research is the executive directors and academic staff members of the university. To select the sample, purposeful and snowball sampling was used, which was achieved by conducting 15 interviews based on the saturation rule. Data were analyzed and coded using Strauss and Corbin (1990) coding method and MAXQDA 2020 softwa