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organizational integrity and its impact in avoiding strategic deviations: Applied research in the Iraqi insurance company
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Abstract:

                The aim of the current study lies in showing and demonstrating the effect of the independent variable of organizational integrity with its dimensions represented by (organizational optimism, organizational trust, organizational integrity, organizational sympathy) on the dependent variable of strategic drifts through its dimensions represented by (organizational culture, leadership, innovation, strategic planning) .The analytical descriptive approach has been adopted and the questionnaire has been used as a tool to obtain data and information from the sample of (57) people who are at the administrative levels (senior management, middle management, executive management) in the researched company, and financial reports and statements for the years (20172021) have been relied upon in the interpretation of the results, in addition to conducting personal interviews with those responsible for it. Data has been analyzed based on the one statistical program (SPSS V.28) in calculating the (weighted arithmetic mean, standard drifts, coefficient of variation, percentage weight, regression coefficient, t-test, determination coefficient R, F-test, simple linear regression equation, confirmatory factor analysis). The current study has reached a set of results, the most prominent of which are: There is a significant effect of organizational integrity on strategic deviations, as well as the presence of significant differences in the sample's response to organizational integrity and strategic drift together according to personal variables: gender, age, academic qualification, job position, number of years of service

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Publication Date
Wed Jan 01 2020
Journal Name
Iraqi Journal Of Applied Physics
Effects of Operation Parameters on Structures and Surface Morphology of Tin Dioxide Nanostructures Prepared by DC Reactive Sputtering
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Sun May 31 2020
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Buildings
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Near surface mounted (NSM) carbon fibers reinforced polymer (CFRP) reinforcement is one of the techniques for reinforcing masonry structures and is considered to provide significant advantages. This paper is composed of two parts. The first part presents the experimental study of brick masonry walls reinforced with NSM CFRP strips under combined shear-compression loads. Masonry walls have been tested under vertical compression, with different bed joint orientations 90° and 45° relative to the loading direction. Different reinforcement orientations were used including vertical, horizontal, and a combination of both sides of the wall. The second part of this paper comprises a numerical analysis of unreinforced brick masonry (URM) wa

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Sat Aug 19 2023
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Structural and Hardness Characteristics of Silicon Nitride Thin Films Deposited on Metallic Substrates by DC Reactive Sputtering Technique
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Publication Date
Tue Jan 01 2019
Journal Name
Molecular Biology Research Communications
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Publication Date
Sat Jan 01 2022
Journal Name
Journal Of The Mechanical Behavior Of Materials
Flexural behavior of concrete beams with horizontal and vertical openings reinforced by glass-fiber-reinforced polymer (GFRP) bars
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Abstract<p>This study conducted an analytical investigation on the behavior of concrete beams with openings reinforced by glass-fiber-reinforced polymer (GFRP) bars. In this study, five proposed beams reinforced by GFRP bars as flexural and shear reinforcement with openings were numerically examined. The variables were the opening orientation (vertical and horizontal) and the number of openings. These openings were located within the flexural zone of the proposed beams. The result shows that the vertical openings had a significant effect over the horizontal openings on reducing the ultimate load and increasing the mid-span deflection compared with the control beam. Moreover, the results showed t</p> ... Show More
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Engineering And Technology Journal
Investigating Forward kinematic Analysis of a 5-axes Robotic Manipulator using Denavit-Hartenberg Method and Artificial Neural Network
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