Anticipating the management model of asymmetric wars in the field of defense of popular forces

Document Type : Original Article

Authors

1 PhD student in Public Administration, Faculty of Management, Islamic Azad University, Dehaghan Branch, Dehaghan, Iran

2 Department of Public Administration, Faculty of Management, Islamic Azad University, Dehaghan branch, Dehaghan,

3 Department of Public Management, Islamic Azad University, South Tehran Branch, Tehran, Iran

Abstract

This research has been done with the aim of anticipating the management of asymmetric war in the field of defense of popular forces with a mixed approach. For this purpose, first, documents about asymmetric wars were collected and analyzed by content analysis method, and the factors of the model were identified and extracted. Then, the activists in the field of asym-metric wars were interviewed in relation to the obtained factors, and by combining the results obtained from the qualitative stage, a three-dimensional model for the management of asymmet-ric wars was obtained, and in the quantitative part, the dimensions and components of the model were tested by the structural equation model. The results of the research show that the dimen-sions of the model have adequate explanatory power. These dimensions include: structural fac-tors (information capabilities, equipment, training and military strength), behavioral/content factors (personal-psychological characteristics, management, the ability to create innovation in military operations, knowledge and awareness in the field of asymmetric wars) and environmen-tal/contextual factors (geographical location, social and cultural factors, economic factors, politi-cal factors) that are aimed at improving the management of asymmetric wars in People's forces have an impact in the field of defense.

Keywords


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Volume 5, Issue 1 - Serial Number 16
Spring Quarterly
February 2024
Pages 223-252
  • Receive Date: 22 December 2023
  • Revise Date: 18 January 2024
  • Accept Date: 10 February 2024
  • Publish Date: 17 March 2024