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An Investigation of Leadership Style and the Strategic Planning Process of Public and Private Colleges in Iraq: An Empirical Study
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Globalisation and rapid environmental change have created many challenges for public and private organisations across Iraq as a developing country, particularly in the higher education sector. This includes, for example, decreases in government funding; increased demand for higher education; a need for economic transformation, and related competitiveness of organizations. Such challenges require exceptional leaders and strategic planning in order to take action to improve. In Iraq, the higher education sector is still one of the main foundations in progressing the knowledge economy. Studies into leadership style, strategic planning processes, and the importance of leadership and organisational culture to an organisation’s success have been used to assist both public and private Iraqi colleges in responding to the challenges they face. Although, some studies have examined the interaction between leadership and strategic planning, and leadership and organisational success, there has been no empirical study that has investigated how these three variables interact together. Thus, this study aimed, firstly, to identify the current leadership styles and strategic planning processes in the colleges and the challenges they faced, and to gain an understanding from the perspective of the senior leaders themselves as to how they might best respond to the current situation. Secondly, based on the participants’ experiences, knowledge and perceptions, the study aimed to identify implications for both practice and policy to help improve the colleges’ outcomes. The study involved a mixed-methods approach and was conducted in two stages. During the first stage, the researcher gathered quantitative data by administering a survey package to 129 leaders (deans, associate deans, and heads of departments) across both public and private colleges in the capital city of Baghdad. During the second stage, the researcher gathered qualitative data to more deeply explore the survey results by conducting individual interviews with a sub-sample of 21 leaders from both college types (ten public and 11 private). In the data analyses stages, both descriptive statistics and inferential statistics were applied to compiling tables and charts, and to test hypotheses, by employing the Statistical Package for Social Sciences (SPSS), Microsoft Excel, and NVivo. The results of study showed that both transformational and transactional leadership styles played a varied and vital role in the colleges’ strategic planning processes, and in turn their success. The fact that private colleges were ‘for profit’ and public colleges were ‘not for profit’, as well as their contrasting funding models, highlighted key differences between the two college types’ leadership and general modus operandi. While it was found that both transformative leadership and transactional leadership styles were necessary to address the challenges colleges faced in the Iraqi educational context, the impetus for change extended far beyond the need for professional development of leaders. The embracing of information communication technologies, and reliable Internet was seen as necessary in all aspects of the colleges’ work and provision for teaching and learning, and students’ success. This applied to both college types along with the need for closer adherence to government regulations and more focused government coordination of colleges’ administrative functions. Furthermore, implications for making successful improvements to practice also identified the need to manage the challenge of sociocultural influences on the appointments and promotions of leaders. It was concluded that a greater emphasis on teamwork and provision of incentives for staff, along with a ‘boost’ to pedagogy and practice, which could be provided through the adoption of information communication technologies and appropriate professional development strategies, would enhance the colleges’ ranks and the status of their qualifications. Also, theoretically, the study offers a value-add to leadership, strategic planning process, and organisational success literature in the form of a conceptual model that links these variables in the context of Iraqi higher education sector.  

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Publication Date
Sun Feb 10 2019
Journal Name
Journal Of The College Of Education For Women
DESIGN AND IMPLEMENTATION AN IRAQI CITIES DATABASE USING K-D TREE
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This research include design and implementation of an Iraqi cities database using spatial data structure for storing data in two or more dimension called k-d tree .The proposed system should allow records to be inserted, deleted and searched by name or coordinate. All the programming of the proposed system written using Delphi ver. 7 and performed on personal computer (Intel core i3).

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Publication Date
Tue Mar 01 2022
Journal Name
Asian Journal Of Applied Sciences
Comparison between Expert Systems, Machine Learning, and Big Data: An Overview
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Today, the science of artificial intelligence has become one of the most important sciences in creating intelligent computer programs that simulate the human mind. The goal of artificial intelligence in the medical field is to assist doctors and health care workers in diagnosing diseases and clinical treatment, reducing the rate of medical error, and saving lives of citizens. The main and widely used technologies are expert systems, machine learning and big data. In the article, a brief overview of the three mentioned techniques will be provided to make it easier for readers to understand these techniques and their importance.

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Publication Date
Sat May 01 2021
Journal Name
Journal Of Physics: Conference Series
Regression shrinkage and selection variables via an adaptive elastic net model
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Abstract<p>In this paper, a new method of selection variables is presented to select some essential variables from large datasets. The new model is a modified version of the Elastic Net model. The modified Elastic Net variable selection model has been summarized in an algorithm. It is applied for Leukemia dataset that has 3051 variables (genes) and 72 samples. In reality, working with this kind of dataset is not accessible due to its large size. The modified model is compared to some standard variable selection methods. Perfect classification is achieved by applying the modified Elastic Net model because it has the best performance. All the calculations that have been done for this paper are in </p> ... Show More
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Publication Date
Fri Jun 16 2023
Journal Name
Journal Of Humanities And Social Sciences Researches
The Role and Importance of Electronic Automation in Banking Service Development: A Case Study of the Commercial Bank of Iraq
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Electronic banking services appeared as a result of laying the foundations for the application of electronic automation in the banking field, and despite the clear expansion in its adoption and implementation as an inevitable necessity imposed by international and national developments, its application was not ideal according to the level that was expected to occur after the abandonment of traditional banking services, which produced some risks Which is evident in the absence of a legal system, whether at the level of proving and authoritative electronic banking services such as electronic signature, Or at the level of protecting the confidentiality of these services and ensuring that they are not exp

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Publication Date
Sat Jul 01 2023
Journal Name
Journal Of Accounting And Financial Studies ( Jafs )
The Impact of Strategic Management Accounting Techniques on the Reliability of Financial Statements:: The Impact of Strategic Management Accounting Techniques on the Reliability of Financial Statements:
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The objective that the researcher seeks to achieve through this research is to clarify the relationship between strategic management accounting techniques and the reliability of financial statements, and to measure the impact of these techniques as an independent variable with its three dimensions, which are: activities-based cost, target cost, and benchmarking on the reliability of financial statements as a dependent variable. To achieve this objective, the researcher did the following: First: Determine the research problem through the following question: Do strategic management accounting techniques affect the reliability of financial statements in industrial companies listed on the Palestine Exchange? Second: Making the analytical des

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Publication Date
Wed Jan 01 2020
Journal Name
Spe Asia Pacific Oil & Gas Conference And Exhibition
Effect of nanoparticles on the interfacial tension of CO2-oil system at high pressure and temperature: An experimental approach
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In the recent decade, injection of nanoparticles (NPs) into underground formation as liquid nanodispersions has been suggested as a smart alternative for conventional methods in tertiary oil recovery projects from mature oil reservoirs. Such reservoirs, however, are strong candidates for carbon geo-sequestration (CGS) projects, and the presence of nanoparticles (NPs) after nanofluid-flooding can add more complexity to carbon geo-storage projects. Despite studies investigating CO2 injection and nanofluid-flooding for EOR projects, no information was reported about the potential synergistic effects of CO2 and NPs on enhanced oil recovery (EOR) and CGS concerning the interfacial tension (γ) of CO2-oil system. This study thus extensively inves

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Publication Date
Wed Jun 01 2022
Journal Name
Heliyon
Modification of SBA-15 mesoporous silica as an active heterogeneous catalyst for the hydroisomerization and hydrocracking of n-heptane
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Publication Date
Mon Jan 01 2024
Journal Name
Bio Web Of Conferences
An overview of machine learning classification techniques
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Machine learning (ML) is a key component within the broader field of artificial intelligence (AI) that employs statistical methods to empower computers with the ability to learn and make decisions autonomously, without the need for explicit programming. It is founded on the concept that computers can acquire knowledge from data, identify patterns, and draw conclusions with minimal human intervention. The main categories of ML include supervised learning, unsupervised learning, semisupervised learning, and reinforcement learning. Supervised learning involves training models using labelled datasets and comprises two primary forms: classification and regression. Regression is used for continuous output, while classification is employed

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Publication Date
Tue Dec 30 2014
Journal Name
Iraqi Journal Of Chemical And Petroleum Engineering
Electrofacies Characterization of an Iraqi Carbonate Reservoir
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Predicting peterophysical parameters and doing accurate geological modeling which are an active research area in petroleum industry cannot be done accurately unless the reservoir formations are classified into sub-groups. Also, getting core samples from all wells and characterize them by geologists are very expensive way; therefore, we used the Electro-Facies characterization which is a simple and cost-effective approach to classify one of Iraqi heterogeneous carbonate reservoirs using commonly available well logs.

The main goal of this work is to identify the optimum E-Facies units based on principal components analysis (PCA) and model based cluster analysis(MC

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Publication Date
Thu Sep 16 2021
Journal Name
International Journal Of Clinical Practice
An overview of post‐COVID‐19 complications
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