Organizational resilience model based on business agility components with signalling theory approach in branches of Sepah Bank of North Khorasan province

Research has indicated that the ability of organizations in society to manage crises and challenges has a significant impact on the ability of that society to cope with crises and the quality of recovery from challenges. Organizations, with the essential services they provide in times of crisis, play a very important role in the speed with which society returns to a normal situation. Therefore, organizational resilience, meaning the capacity of the organization to predict the crisis, reduce the effects and resistance to its damage, appropriate response, and finally recovery from the crisis, has recently become an important topic in organizational research. Business agility is also an important issue for organizations in responding appropriately to environmental changes and challenges. The most recent issue is receiving appropriate signals from the environment and the organization, which can be properly analyzed to respond to crises and challenges by the organization. In this regard, this article attempts to help organizations achieve resilience by identifying the indices and dimensions of organizational resilience and finally designing a model for it. The present study aimed to design an organizational resilience model based on the components of business agility with the signalling theory approach. In this research, the qualitative-quantitative combination method and interview experts are used to design the model. The statistical population of the research is banking industry experts and managers and deputies of branches of Sepah Bank in North Khorasan. The data collection tool was a semi-structured interview and a researcher-made questionnaire, whose validity was assessed and confirmed as content validity with the five experts’ and professors’ opinions. The reliability of the questionnaire was assessed using Cronbach’s alpha test. The results showed that the alpha coefficient is greater than the statistics value of 0.7, and the questionnaire had good reliability. Data analysis was performed using SMART PLS software.