The effect of agile leadership in reducing work pressure (a field study of administrative leaders in the colleges of University of Samarra

Abstract

The research aims, through its chapters, to test the relationship and the effect of agile leadership as an independent variable in the stress of working as a respondent variable at Samarra University, and then try to come up with a set of recommendations that contribute to reducing work pressures in the researched organization, and the descriptive and analytical approach was adopted in the completion of this research. The research included administrative leaderships in the colleges of Samarra University, and data were collected from (50) respondents who intentionally represent the research community. With the questionnaire that included (28) paragraphs, and the research was approved by the (SPSS V.24) program with the adoption of descriptive statistical methods (linearity test, normal distribution test, confirmatory factor analysis, arithmetic mean, percentages, standard deviation, relative importance, coefficient of variation, regression coefficient Simple and to demonstrate the reliability of the questionnaire, he used Cronbach's alpha to test his hypotheses.

As for the most prominent findings of the research that showed the validity of the hypotheses, they embodied a very strong relationship at the macro level between agile leadership and work pressures in the dimensions covered by the research, and this is what was explained by the results of the statistical analysis. The research also yielded a set of recommendations, the most important of which is increased attention to indicators of work stress and indicators of agile leadership, in particular in higher education institutions, because of their importance that outweighs in their societal considerations the quality of services provided, reducing waste and reducing costs. The research has added scientific value through a corresponding model within the statistical and constructive relations, as well as contributing to clarifying the interrelation between the two variables.