Metaheuristic Optimization of Competencies of Strategic Managers in State Organizations

The aim of the present research was to optimize the competencies of strategic managers in state organizations. This applied research was conducted quantitatively to collect the data. A researcher-made questionnaire was used to determine the level of consensus among respondents on the priority of the proposed indicators for the competency of strategic managers. The relationship between the components of the metaheuristic model was determined by 122 senior and middle managers who were selected by random stratified sampling from the studied organizations: Tehran Governor's Office, Administrative and Recruitment Affairs Organization, Supreme Audit Court, Welfare Organization, Iran Health Insurance Organization (IHIO). Data were analyzed using the metaheuristic approach method based on genetic algorithm and decision tree, using the WEKA and RAPIDMINER software programs. Based on the results of the Shannon’s method, ethics earned the highest priority. Furthermore, 11 out of the 16 extracted factors affecting competency were selected as the optimal characteristics of strategic managers in state organizations using metaheuristic algorithms. These were knowledge competencies, skill competencies, basic competencies, psychological competencies, ethics, general competencies, interactions and communications, resource management, strategic thinking, transformism, and leadership. The findings also show that the most effective factors must be examined to identify and evaluate the competencies of strategic managers in state organizations.