Title of article
Designing the behavioral pattern of political intelligence of organizational employees in the development of competitiveness
Author/Authors
Amirkhani ، Amirhossein Department of Management - Payam Noor University , Khadim Alizadeh ، Mohammad Department of Management - Payam Noor University , Rasouli ، Reza Department of Management - Payam Noor University
From page
155
To page
172
Abstract
Employees’ political awareness highlights their ability to adapt socially within the organizational structure and understand the governing principles behind how behavior impacts work. The ability of employees to understand the politics within an organization and how it affects their work is an important factor in organizational success in a competitive environment. This research aims to develop a model for political intelligence among employees of state-owned companies in Iran, in order to improve organizational competitiveness. The study uses a mixed-method approach, including thematic analysis in the qualitative method and statistical tests such as Pearson, Friedman, and T-Stevenett in the quantitative method. The results show that network capability and effective management are significant factors in developing employees’ political intelligence and improving competitiveness. Thus, the political intelligence of employees can help in understanding the dynamics of competitive power. Increasing political intelligence leads to enhanced success, reduced anxiety, and improved foreign relations, while individuals with high political intelligence have the ability to improve group performance. The results of the analysis indicate that social awareness has the highest impact on political intelligence, accounting for 32% of the variability. On the other hand, the influence of power dynamics is relatively low, explaining only 11.6% of the variability in political intelligence across the organizations studied.
Keywords
a model of political intelligence , political intelligence of employees , development of competitiveness
Journal title
International Journal of Nonlinear Analysis and Applications
Journal title
International Journal of Nonlinear Analysis and Applications
Record number
2773659
Link To Document