The Recognition and Scrutiny Relationship between Organizational Agility Capabilities Using RBF Neural Network for Strengthening Passive Defense Capabilities

Today, all businesses, public or private, profit or non-profit are exposed to different types of unpredictable and unpreventable events and crisis. Passive defense projects measures focus on a specific approach of challenging with accidents occurred in wars and try to reduce vulnerabilities of task force and critical, sensitive and important assets. In this paper, organizational agility as one of the best methods is identified and analyzed. Organizational agility can be accounted among the key factors of passive defense techniques. The method of research is applied looking its goal and is explorative-analytic in terms of methodology. In this study, agility capabilities are reviewed and are classified using factor analysis. Then, using neural network techniques, effect of every indicator on the level of agility is also analyzed. After that, by using charts and analysis of matrix of impact coefficients, interaction of these factors is investigated. The results show that the factors of management and organizational structure have the most important influence on the level of organizational agility. These results also indicate that the competence and accountability indicators can continuously increase the level of agility. According to the analysis chart, production and product design performance indicators alone cannot make a considerable change in the amount of agility. But by reducing these indices, level of agility is reduced too. Flexibility and speed indices can affect the alteration of the agility level in an organization.