Investigation of Components of Crisis Management Strategy Implementation Model in Bahabad County, Iran

INTRODUCTION: Crisis is one of the issues of human societies; the management of each of its stages requires a crisis management strategy; therefore, the purpose of the present research is to explain a model for the implementation of earthquake crisis management strategy in Bahabad County, Iran. METHODS: In this study qualitative- quantitative research, Grounded Theory method was used in qualitative part. The statistical population in the qualitative phase included ۱۲ specialists and experts who were familiar with crisis management. In the quantitative phase, a total of ۵۳ ones were studied by using a researcher-made questionnaire who were responsible in the institutions subject to Articles ۲ and ۱۰ of the crisis management law of the country approved by the Islamic Consultative Assembly of Iran. About ۴۷ ones were selected based on Morgan's table. The inferential statistics such correlation coefficient, regression coefficient, and multivariate variance analysis was used to find the relationship between the variables. FINDINGS: In the qualitative part, ۲۱ categories were separated after the theoretical saturation resulting from interviews with specialists and experts and then in the quantitative phase, these categories were divided into questions. The analysis of the neural network indicated that the significance of the components of strategy implementation in predicting the mentioned model in Bahabad County, Iran, so that "leadership" had the most impact and "data production, update, and processing" had the least effect on the model prediction. CONCLUSION: Based on the presented model, the strategy implementation components are operationalized in each of the pre-crisis, during-crisis and post-crisis stages correspondingly through the three processes, including "tool-making", "flow-making," and "institution-making." According to the results, by upgrading these processes, the feasibility of the proposed model will increase as well.