International Journal of Transformations in Business Management

(By Aryavart International University, India)

International Peer Reviewed (Refereed), Open Access Research Journal

E-ISSN : 2231-6868 | P-ISSN : 2454-468X

SJIF 2020: 6.336 |SJIF 2021 : 6.109 | ICV 2020=66.47

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Abstract

Vol: 11, Issue: 2 2021

Page: 30-46

Diagnosing the level of Innovation Performance in the Baghdad Intelligence and Counter-Terrorism Directorate - An Analytical Study in the Ministry of Interior

Salim Taha Ali, Prof. Salah Abdel Qader Al Nuaimy

Received Date: 2021-05-13

Accepted Date: 2021-05-01

Published Date: 2021-06-13

The current research aims to diagnose the level of innovation performance, and the research was conducted in the Baghdad Intelligence and Counter Terrorism Directorate of the Ministry of Interior, in an effort to present a set of recommendations that could contribute to enhancing its innovation performance, and based on the importance of the subject in the directorate, and the importance of the innovation performance of the directorate for the community and its employees , so that the research adopts the descriptive analytical method in its completion, and the research targeted an intentional quota sample of leaders and job holders in it, and data was collected from (145) respondents who represent the research community exclusively and comprehensively, represented by (director director, assistant director, department managers, assistant department managers , division directors, unit officials), by adopting a questionnaire that included (45) paragraphs, and using personal interviews and field observations to enhance the analytical aspects and extract the research problem, and observation and observation methods to help collect it, and the research adopted a program (Amos V.25, Spss V.26). With the adoption of descriptive statistics methods (linearity test, normal distribution test, confirmatory factor analysis, building models of variables, arithmetic mean, percentages, standard deviation, and The importance of relativity, coefficient of variation, Pearson correlation coefficient, and simple and multiple regression coefficient) to test its hypotheses, and for these results were drawn conclusions, and reinforced with recommendations and mechanisms of action for implementation.

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