Search Results for Luma Hameed
Abstract
This research aims to identify the role of strategic leadership, through its dimensions (clarity of strategic direction, rational use of authority, and ethical and value framework), in achieving outstanding performance in the private universities included in the research sample. (153) valid questionnaires were distributed to the research sample, which included senior and middle management. The data were processed and analyzed using several statistical methods, most notably (arithmetic mean, standard deviation, coefficient of variation, Pearson correlation coefficient, and simple linear regression) using the SPSS V28 statistical software. One of the most important conclusions reached by the research is the existence of a statistically significant correlation between strategic leadership (with its three dimensions: clarity of strategic direction, rational use of authority, and ethical and value framework) and the level of outstanding performance in private universities. This indicates that adopting these dimensions contributes to enhancing the universities' ability to improve their focus on beneficiaries, develop their internal processes, and improve their human resource management as key inputs for institutional excellence. The research recommends the necessity of adopting an integrated strategic leadership system in private universities, based on developing clear and updated documents and strategies, promoting organized delegation of powers, establishing the ethical framework, building leadership and human capacities, and supporting a culture of innovation and continuous improvement, in a way that contributes to raising the levels of institutional performance and achieving excellence in the higher education environment.
Abstract
The research aimed to determine the impact of strategic sovereignty in reducing strategic risks in light of the current conditions that require the correct construction of organizations in order to confront environmental variables in modern times. To achieve this goal, the researchers reached, through theoretical thought and related studies, to build a hypothetical diagram that explains the relationship between the studied variables. The research relied on studying strategic sovereignty as an independent variable distributed into three dimensions: (area of influence, competitive formation, competitive pressure), in addition to three dimensions representing the dependent variable strategic risks (document and information risks, organizational reputation risks, human resources risks). The sample consisted of (100) managers from senior administrative leadership in a sample of private Iraqi banks: (United Bank, National Bank of Iraq, Gulf Commercial Bank, Ashur International Bank, Abra Iraq Bank). The research reached several results represented in the contribution of strategic sovereignty in reducing strategic risks through the results of the impact relationship, which supports the statistical formulation of the research hypothesis
Abstract
The goal of the paper is to reach the optimal decision by building the Fuzzy Linear Programming Model (FLPM) with fuzzy parameters represented by demand and production quantities. The study problem lies in the range that the model contributes to removing the uncertainty in determining the optimal amount of production, and to reach this value, available programs (MatlabV.10, Win Q.S.B V.2) were used to obtain the results of the optimal solution. The hypothesis of this study is that the Fuzzy Inference System (FIS) contributes to the uncertainty of the amount of production and demand. The research was based on an applied study of real data taken from the Iraqi General Cement Company, which is one of the most active companies in the Iraqi industry environment. Four factories (Kufa, Najaf, Babylon, Badoush al tawseea) were selected with their sample products for the company. The study used the model's order quantities, production requirements, and production quantity with Triangular Fuzzy Numbers (TFN). One of the most important conclusions reached by the researcher is that the data adopted from the four factors and the results of the analysis are that the output in these coefficients is fuzzy and unstable, and that the application of fuzzy logic is an effective way to get rid of the uncertainty.