Search Results for decision-making

Abstract

      The current study aims to reveal the extent of the impact of management information systems on the administrative decision-making process, as well as to clarify that influencing relationship between the variables of the study because of their importance in supporting and enhancing the administrative decision-making process in the study sample organization. Two main hypotheses emerged from the study that (there is an impact and a significant correlation of management information systems in the administrative decision-making process in the College of Nursing / University of Maysan), the study adopted the questionnaire as the main tool for obtaining the required data and information, as the responses of the sample consisting of (35) were analyzed. ) individuals and for the purpose of analyzing their responses, a number of statistical methods were used (frequencies, arithmetic means, standard deviations and regression) using the (SPSS) program, The study reached a set of theoretical and applied conclusions, the most important of which was that the roles of managers are affected by the management information system through the information provided by this system and with qualitative characteristics. of information.

Abstract

Measure the efficiency of decision-making units (DMUs) using quantitative approaches plays important role to help decision maker to enhance the organization efficiency. Also, integrating more than one quantitative approach have received more attention recently. This paper presents an efficient computational approach which consist of integrating two multi-criteria decision making approaches. The first is the data envelopment analysis (DEA) model and it used to measure the efficiency of the DMUs based on their inputs and outputs and the second approach is Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). The presented approach has teased using dataset as in [12] of municipal services in Thi Qar Province, focusing on seven municipalities within the region. Using the presented approach, first we identify the relative efficiency using DEA models. Second, we rank all DMUs that reach full efficiency. Using a dataset comprising three inputs and three outputs associated with municipal services. The result of paper shows that this approach is reliable and easy to implement and it is suitable for helping the decision maker to reach the optimal decision for sustainable evaluation.

Abstract

Sustainable supplier selection is an essential part of the decision-making process in sustainable supply chains. This choice is focusing on social, economic, and environmental criteria in evaluation of suppliers. Sustainable supplier selection approaches have used both qualitative and quantitative data. Therefore, it is meaningful to use scientific methods that treatment both quantitative and qualitative data, as well as multiple criteria. 

Analytical network process (ANP) is a one of the important multi-criteria decisions –making approaches.  Also, the ANP technique is a general form that allows possible independency among criteria factors. This paper aims to select the best suppliers using an (ANP) approach which helps decision-makers to reach the best strategy with correct decisions. Using ANP each criterion has its assign weight, which reflects its importance for the process of comparison between alternatives to suppliers. The presented approach consists of the three main steps:  the first step is to identify the criteria used in the comparison process between suppliers, the second step is to identify the decision matrix using AHP and the third step is to construct the super matrix and limiting super matrix and compare between the alternatives, and rank them from the best to the worst through using ANP. This work has used the data as in [30] which represents data for a company that has four suppliers and five criteria. The results show that the best supplier is supplier 2, which has weight equal to 39%. Also, our results are matching the AHP result that is presented in [30]. Moreover, this work can be extended for future work using fuzzy environment and real application such as Iraqi oil companies.

Abstract

The research aims to know the impact of behavioral integration of the senior management team with its sub-dimensions represented by (cooperative behavior, information exchange, participation in decision-making) in enhancing organizational prestige with its dimensions represented by (internal organizational prestige, perceived external prestige). The importance of the research is also represented by clarifying the important role played by the senior management teams at the university under study so that the university becomes highly prestigious, effective, and capable of defining itself and its presence, and keeping pace with rapid changes locally and globally in order to achieve global status compared to other universities in developed countries. The University of Mosul was chosen as a field for research, where the research applied the comprehensive inventory method to the researcher’s sample of (214) leaders represented by (the university president and his assistants, deans of colleges and assistants, and heads of departments as well as scientific centers) at the University of Mosul. However, the total of the questionnaire received (189) and (25) questionnaire forms were not received. The researcher used a questionnaire to obtain data, and the research adopted the descriptive analytical approach in order to achieve results using the statistical program (AMOS V.25). The research came out with a number of conclusions, the most important of which is that cooperation and information exchange makes members of the senior management team show solidarity and cohesion, and this cohesion translates into decision-making processes. Smoother decisions, efficient resource allocation, and strategic implementation, all of which contribute to achieving the organization’s prestige. The researcher also presented a set of proposals, the most important of which is “the necessity of expanding the basis of participation in decision-making and not limiting it only to members of the University Council by involving experts in the work of academic staff, including professors and owners.” Distinguished academic titles in executive departments for the purpose of reaching a level of competence when making decisions and implementing them effectively.”

Abstract

The research This research aims to demonstrate the importance of financial statements, the determinants of their effectiveness, and their relationship to administrative decisions. The General Authority for Taxes and the General Authority of Customs, both affiliated with the Iraqi Ministry of Finance, are obligated to implement tax laws. Furthermore, a Tax Policy Department was established within the Economic Department of the Iraqi Ministry of Finance in 2005. This department is responsible for drafting tax laws and developing tax strategy in Iraq. Consequently, decision-makers, assessors, and auditors within the General Authority for Taxes are required to possess professional qualifications and skills that enable them to examine financial data at a high level, particularly data prepared according to International Accounting Standards. They are also responsible for providing electronic software to facilitate administrative decisions aimed at achieving fairness in the distribution of the tax burden, saving time, and enhancing trust between taxpayers and the tax authority. This has made administrative assessment the foundation of the practical application of tax accounting. The research successfully addresses two key questions: First, do financial statements encourage or discourage administrative decision-making? The second question is whether the Iraqi legislator succeeded in achieving a balance between the interests of the state, society, and taxpayers through the tax system. The methodology used in this research was deductive, employing a descriptive approach to analyze financial reports (2021-2023) and an inductive approach using econometric analysis to refute the initial hypothesis: (There is no relationship between financial statements and administrative decisions). This was demonstrated by the results of the assessment memoranda, which showed that the relationship between financial statements and administrative decisions is interconnected, representing a part-whole relationship, as they constitute a significant financial resource and their proportion in the state's public revenues has increased.

Abstract

Achieving sustainable development requires a framework for decision-making, accountability, and management, which good governance provides. According to the World Bank's Sustainable Development Goals (SDG) report, Iraq has a performance gap of 34.1% in achieving the SDGs, which constitutes the applied problem of this study. Therefore, this study seeks to answer the main question: What is the role of good governance in achieving sustainable development through the mediation of Total Quality Management (TQM)? To achieve this, the study was conducted in the Iraqi Ministry of Electricity, and a sample of 100 department and division managers was selected. To collect data from this sample, a questionnaire was designed and distributed to 130 managers, of which 110 were returned, and 100 of these were deemed valid for analysis, representing the final sample size. Furthermore, the study employed quantitative analysis of the performance indicators adopted by the Iraqi Ministry of Electricity. The study utilized a deductive approach and a descriptive-analytical method in presenting and analyzing its data. The data was analyzed using SPSS software. The study concluded that the surveyed sample recognizes the importance of good governance indicators in achieving sustainable development. The analysis revealed that good governance has a significant and statistically significant impact on sustainable development, and that the influence of good governance indicators on sustainable development is growing. The study recommended that the Iraqi Ministry of Electricity adopt good governance indicators as a framework for decision-making, accountability, and efficiency to improve its performance towards achieving sustainable development.

Abstract

This study presents a machine learning-based framework for predicting and analyzing student academic performance using behavioral, psychological, demographic, and digital learning features. The dataset consists of 14,003 student records collected from higher education institutions in 2024 and obtained from Kaggle. It includes 16 variables covering study behaviors, engagement patterns, learning resources, psychological factors, and demographic characteristics. The target variable (response) was Final Grade, which was categorized into four performance levels: Low / Fail / Poor performance, below average performance, Good / Average performance, and Excellent / High performance, representing overall academic performance. Three machine learning algorithms XGBoost (Extreme Gradient Boosting), CatBoost (Categorical Boosting), and Support Vector Machine (SVM) were applied to classify student performance levels. The models were evaluated using confusion matrices, accuracy, F1-score, MCC, R², RMSE, MAE, and feature importance analysis. Results show that XGBoost achieved the highest performance (99.96% accuracy), followed by CatBoost (99.82%) and SVM (98.96%). Analysis of the importance analysis revealed that Exam Score is the most influential predictor across all models. The study highlights the effectiveness of advanced machine learning techniques in predicting academic success and supporting data-driven educational decision-making.

Abstract

The study aims to find the relationship between internal auditing of the quality of sustainability reports and the quality of financial reports after auditing, and the extent to which banks respond. Based on the changes resulting from stakeholders and their pressures on an ongoing basis  To come to the conclusion that the preparation of high-quality sustainability reports has a significant positive correlation with the quality of financial reports after auditing, the correlation between the quality of sustainability reports and the quality of financial reports after audit is conditional on the quality of the audit process. The results of the study showed that Islamic banks rely on reporting principles that focus on the quality of sustainability reports and these principles are particularly important for stakeholders to determine the quality of sustainability reports. the quality of the audit process has an impact on improving the quality of sustainability and financial reports by increasing confidence and credibility of accounting information and the absence of errors, and manipulating accounts, which improves the quality of information, leading to its reliance on decision-making. The study recommended that Islamic banks conduct internal audits based on "quality control" in order to reach a professional and impartial report by the Internal Audit Department that benefits all stakeholders and shareholders, and to apply the six rules of the principles of quality sustainability reports, through full disclosure of information, statement of impacts, assistance to stakeholders or beneficiary clients in decision-making, identification of procedures and the development of proposed hypotheses for the preparation of such disclosures.

Abstract

This research aims to provide a theoretical and applied framework for employing machine learning algorithms in management accounting and costing systems.

The research focuses on the importance of improving resource consumption monitoring, accurately tracking cost behavior, identifying unutilized energy, and supporting decision-making through historical data analysis to enhance the accuracy of production reports.

To achieve the research objective, a descriptive approach was adopted, drawing on available studies. A field study was also used, using a questionnaire to collect data from the research sample (the Electrical Cables and Wires Factory - Ur General Company).

The research also reached a number of conclusions, most notably that employing machine learning algorithms contributes to improving the prediction of quantitative resource consumption, which helps detect deviations and identify their potential causes, and enhances the accuracy and comprehensiveness of production reports.

The research concluded with a set of recommendations, most notably the need to establish an integrated data management system that includes operational data processing to provide real-time solutions and alternatives that contribute to supporting decision-making related to rationalizing resource consumption.

Abstract

This research aims to shed light on the concept of real-time financial reporting, the benefits of preparing such reports, and to demonstrate the concept and importance of financial reporting transparency. It also aims to identify the role of real-time financial reporting in improving the transparency of financial reporting. To achieve the research objectives, a questionnaire was distributed to a number of employees at the Baghdad Soft Drinks Company. The research reached several conclusions, including that real-time financial reporting represents a qualitative leap for entities seeking to maintain their competitiveness and flexibility in today's rapidly evolving environment. By providing immediate access to accurate financial data, these reports enable better decision-making, strengthen financial control, improve forecasting, increase transparency, and comply with regulations.

Abstract

This study aimed to identify the extent of the availability of soft skills in the performance of faculty members in Saudi universities from their point of view by applying it to faculty members at Imam Muhammad bin Saud Islamic University and Shaqra University, and to rank the soft skills according to the degree of their importance to them and whether there are statistically significant differences when The level of significance (a=0.05) in the degree of availability of soft skills in their performance is due to the variable of years of teaching or college experience.

The study followed the descriptive approach to achieve its objectives, as the researcher used the questionnaire as the main tool for the study, which contained (43) items distributed over six axes: critical thinking skill, problem solving, time management skill, leadership skill, decision-making skill, teamwork skill, and communication skill

The study concluded that soft skills were highly available in the performance of faculty members at Imam and Share Universities, as the highest arithmetic average for a sub-skill reached (4.85), with a rate of (97%), with a very high degree of availability, while the average for the lowest sub-skill reached (3.61), with a rate of (71%). With a high degree of availability.

 The skill of communication and communication came in first place in terms of its importance with an arithmetic average of (4.42), with a percentage of (88.2%) and a very high degree of availability. It was followed by the teamwork skill in second place with an arithmetic average of (4.28), with a percentage of (86%) and a degree of availability. Very high, while the time management skill came in third place with an arithmetic average of (4.18), with a percentage of (83.5%) and a high degree of availability, and in fourth place came the leadership skill with an arithmetic average of (4.12), with a percentage of (80.1%) and a high degree of availability. The skill of critical thinking and problem solving came in fifth place with an arithmetical average of (4.04), with a percentage of (80.1%) and a high degree of availability, while the decision-making skill came in last place with an arithmetical average of (4.03), with a percentage of (80%) and a high degree of availability.

Abstract

This study aims to analyze the impact of digital accounting systems on the quality of accounting information in commercial banks by examining the role of these systems in enhancing the accuracy, reliability, and timeliness of financial information. With the rapid technological advancement, banks have increasingly relied on digital systems for recording and processing accounting data, raising questions about their effect on the quality of financial reporting and decision-making. The study adopts a descriptive-analytical approach to review previous literature and analyze data related to the use of digital accounting systems in commercial banks. It also relies on the inductive method to draw conclusions and recommendations based on the available data analysis. The study is expected to highlight the importance of digital transformation in improving the quality of accounting information and supporting financial and managerial decision-making in the banking sector.

Abstract

This study aims to analyze the impact of non-monetary incentives on enhancing the creative performance of administrative staff at Al-Husayniya General Hospital. It stems from the question of the extent to which non-monetary incentives can stimulate creative behavior in a stressful work environment. The study employed a descriptive-analytical approach, and data was collected using a questionnaire distributed to 123 employees, of which 101 (82.1%) were returned, with 92 questionnaires deemed valid for analysis. The study focused on non-monetary incentives as the independent variable, with its dimensions of self-motivation, leadership support, quality of work life, and participation in decision-making, and on creative performance as the dependent variable. Data were analyzed using PLS-SEM.

Abstract

The issue of women’s empowerment is a preoccupation for many specialists in the field of women’s development, and many studies, whether at the international or local level, have tried to identify the important roles occupied by women and the repercussions that women are affected by due to the crises that afflict the economies of countries on the one hand, and society in all its categories from On the other hand . And since the empowerment of women and ways to advance them economically, are among the most prominent strategic issues that see women as an essential element in the development process and the progress of society, given the challenges faced by Iraqi women over the decades and the multiplicity and widening of qualitative gaps, the National Policy for the Empowerment of Iraqi Women  2021 came to advocate the empowerment of women It affirms its pioneering role in the development process, declaring that the contents of this policy reflect the process of change in the culture of discrimination and building a culture of equality and equality in all its value, psychological and legal dimensions and increasing its participation in state authorities and decision-making.

Abstract

Breast cancer is one of the most prevalent and life-threatening diseases worldwide, making early and accurate diagnosis essential for improving patient outcomes. This study aims to evaluate the performance of two machine learning models, Extreme Gradient Boosting (XGBoost) and Gaussian Naive Bayes, for breast cancer classification using the Breast Cancer Wisconsin Diagnostic dataset. A comparative analysis was conducted based on several performance metrics, including Accuracy, Precision, Recall, F1-score, Specificity, Receiver Operating Characteristic (ROC) curve, Area Under the Curve (AUC), Balanced Accuracy, and Confusion Matrix. In addition, feature importance analysis was performed to identify the most influential variables contributing to the classification process. The experimental results demonstrated that both models achieved high classification performance. However, the Gaussian Naive Bayes model showed slightly superior performance, achieving an Accuracy of 96.5% and an AUC of 0.997, compared with 96.0% and 0.993, respectively, for the XGBoost model. Furthermore, the analysis revealed that features related to tumor morphology, particularly concave points mean, perimeter worst, and radius worst, were among the most influential predictors of breast cancer classification. The findings indicate that both machine learning models provide reliable and effective tools for supporting early breast cancer diagnosis, with Gaussian Naive Bayes demonstrating a slight advantage for the dataset used in this study. These results highlight the potential of machine learning techniques to enhance diagnostic accuracy and support clinical decision-making.

Abstract

Information from financial reports is the basis upon which users of financial information make various decisions accounting measurement based on historical cost is objective and reliable but not appropriate, as it reflects past events and does not provide future information, hence the global trend of replacing historical cost with fair value, since the information generated is relevant and reflects the unit's true financial position. The research therefore sought to illustrate the impact of fair value adoption on the quality of financial reporting. The importance of research stems from the importance of quality financial reporting because of its significant influence on decision makers.Given the international trend to replace the historical cost basis with fair value accounting measurement, it was important to examine the ability of fair value financial reporting to provide users of financial reporting with financial information and indicators that are appropriate and useful for good economic decision-making and also to identify underlying causes Behind the trend of preparers of International Accounting Standards (IAS) and International Financial Reporting Standards (IFRS) to use fair value in accounting measurement. To test the validity of the research hypothesis, the impact of using fair value on the quality of financial reporting was measured by measuring the adequacy of financial reporting at Baghdad commercial bank . The researchers came to several conclusions, the main one being that there is an impact of using fair value on bank activities after its application. They recommended that efforts be made to apply fair value across a wider range of financial assets to include all their assets and liabilities properly according to the International Financial Reporting Standards (IFRS), as the impact may become clearer.

Abstract

The research aims to diagnose the contribution of production scheduling rules in activating cyber production requirements and to determine the implications of this relationship at the level of the General Company for Electrical and Electronic Industries in Baghdad as a field of research, as manufacturing companies today face a major challenge represented by increasing complexity and responding to dynamic changes in addition to achieving short delivery times. As planning, control and scheduling mechanisms cannot deal efficiently under complex, dynamic and unexpected circumstances, this requires a move towards creative activities and problem solving using collaborative decision-making mechanisms between human and artificial intelligence. Therefore, a move was made towards creating requirements for the cyber production system that would have a positive impact. On artificial and human intelligence through trustworthy interaction and integration into the cyber production system. The research problem is demonstrated by answering the following question: Do production scheduling rules affect the activation of cyber production requirements in the researched company? To answer the research questions, reliance was placed on the descriptive analytical approach and on tools and methods for collecting data and information, represented by personal interviews and a questionnaire form that was distributed to 60 individuals working in the company, the research sample. The importance of the research is evident through its treatment of two variables that have become of great importance in our world today, as they It dealt with production scheduling as a tool for allocating resources and loading according to its rules, in addition to its endeavor to activate the requirements of cyber production, which is one of the applications of the fourth generation of industry and is consistent with artificial intelligence methods. In order to analyze the results of the practical side, a set of hypotheses were developed and tested in the company in the field of research using the statistical program. (SPSS VE 26) In addition to a number of statistical methods, the research reached a set of conclusions, the most prominent of which is: The existence of a significant correlation was achieved between production scheduling in terms of its rules (in general and individually) and cyber production in terms of its requirements (in general) in the company, the field of research, and this explains that the company’s management It was able to employ its rules to process requests and arrange work in an effort to enhance cyber production requirements. He presented a set of proposals, the most prominent of which are: increasing the company’s management’s interest in the field of research in production scheduling rules, deepening their importance, and enhancing investment in other rules according to customer requests by making adjustments to scheduling from time to time to avoid delays. In delivering products to customers.

Abstract

Given the challenges facing Iraqi industry—such as limited government support and the high cost of production compared to imported goods—industrial organizations are in urgent need of adopting effective technologies to improve their operational efficiency. Supply chain analysis stands out as one of the most significant of these technologies, as it helps optimize the flow of materials and information, reduce costs, and enhance the accuracy of accounting data.

This study aims to highlight the impact of supply chain analysis on strengthening the effectiveness of the accounting information system through a field application at the National Company for Chemical and Plastic Industries. The findings indicate that integrating supply chain activities with the accounting system contributes to improving the quality of financial information, controlling costs, and supporting managerial decision-making. The study further recommends the development of digital systems that integrate logistical and accounting functions, along with training personnel on modern technologies. 

Keywords: supply chain, accounting information system, operational efficiency, cost reduction , effective and ineffective activities.

Abstract

Human development is the process of expanding individuals' choices and capabilities, enabling them to achieve better and more productive lives. Human development is essential for poverty reduction, as it helps empower the poor by providing them with the skills, knowledge, and resources needed to improve their lives.

Human development helps improve individuals' health by providing healthcare and proper nutrition. This, in turn, leads to increased productivity and reduced medical costs. Human development also contributes to job creation by supporting small and medium-sized enterprises and providing vocational training.Governments, international organizations, and civil society must invest in human development by providing healthcare, education, and vocational training, and by promoting community participation by involving the poor in decision-making that affects their lives. Human development is a powerful tool for poverty reduction. By investing in human development, we can build more just and prosperous societies.

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.

Abstract

This study aimed to evaluate the financial sustainability of Iraqi industrial companies using machine learning models and to compare their performance with traditional statistical models. Five key financial variables were analyzed: Working Capital Ratio (WCR), Current Ratio (CR), Return on Equity (ROE), Return on Assets (ROA), and Asset Turnover (AT). A Financial Sustainability Index (FSI) was constructed to classify companies. The results showed that WCR and CR were the most influential variables in explaining financial sustainability, while AT had the least impact. All variables demonstrated statistically significant relationships with the FSI. Moreover, machine learning models—particularly XGBoost and Random Forest—outperformed the traditional logistic regression model in predictive accuracy, with variations in variable importance rankings across models. The findings highlight the importance of focusing on working capital management and liquidity improvement to enhance financial sustainability, as well as the use of machine learning tools in financial forecasting to support more accurate strategic decision-making. This study contributes by providing a modern analytical framework to support the financial sustainability of industrial companies, with the potential for future application in other sectors. Specifically, machine learning models improved predictive accuracy by approximately 9.4% over the traditional logistic regression model, while SHAP-based analysis confirmed that WCR and CR carry the greatest weight in predicting financial sustainability. Accordingly, the study recommends that industrial companies prioritize working capital and liquidity management, that financial analysts and investors adopt machine learning models such as XGBoost and Random Forest in financial sustainability forecasting, that more comprehensive sustainability indices combining financial and operational performance be developed, and that decision-makers invest in training on machine learning tools and SHAP interpretation to support more reliable, evidence-based financial decisions.

Abstract

This study aimed to evaluate the financial sustainability of Iraqi industrial companies using machine learning models and to compare their performance with traditional statistical models. Five key financial variables were analyzed: Working Capital Ratio (WCR), Current Ratio (CR), Return on Equity (ROE), Return on Assets (ROA), and Asset Turnover (AT). A Financial Sustainability Index (FSI) was constructed to classify companies. The results showed that WCR and CR were the most influential variables in explaining financial sustainability, while AT had the least impact. All variables demonstrated statistically significant relationships with the FSI. Moreover, machine learning models—particularly XGBoost and Random Forest—outperformed the traditional logistic regression model in predictive accuracy, with variations in variable importance rankings across models. The findings highlight the importance of focusing on working capital management and liquidity improvement to enhance financial sustainability, as well as the use of machine learning tools in financial forecasting to support more accurate strategic decision-making. This study contributes by providing a modern analytical framework to support the financial sustainability of industrial companies, with the potential for future application in other sectors. Specifically, machine learning models improved predictive accuracy by approximately 9.4% over the traditional logistic regression model, while SHAP-based analysis confirmed that WCR and CR carry the greatest weight in predicting financial sustainability. Accordingly, the study recommends that industrial companies prioritize working capital and liquidity management, that financial analysts and investors adopt machine learning models such as XGBoost and Random Forest in financial sustainability forecasting, that more comprehensive sustainability indices combining financial and operational performance be developed, and that decision-makers invest in training on machine learning tools and SHAP interpretation to support more reliable, evidence-based financial decisions.

Abstract

As the stock market becomes increasingly important as a primary driver of economic development, understanding the fundamentals that influence the development of these markets becomes crucial. This topic provides a comprehensive review of the basic foundations of the stock market, with a focus on market models in Jordan and Iraq. It explains the impact of economic, political and legislative stability on the attractiveness of investments and investor confidence in the market stressing the importance of understanding investor culture and its impact on investment decision making, in light of the current economic transformations.

Due to the fluctuations experienced by the stock market in Iraq as a result of the economic and political conditions in the country, the prices of stocks and bonds vary constantly between high and low, and this greatly affects economic activity there. This topic aims to explain the state of the stock market in Iraq, explain the basic foundations on which this market must be based, and compare it with the stock market in Jordan.

It is clear that the economic environment reflects economic policy and the factors affecting it. As the state of the economy in the country greatly affects the stock market, the presence of a stable economic environment increases confidence among investor and traders in the market, and the culture of investors and their understanding of financial risks and investment opportunities is affected by the economic environment.

Political stability gives internal and external investments confidence to invest in the financial market, while political turmoil can lead to a decline in confidence and a reduction in investment, providing a stable security environment in the stock market in Iraq leads to a noticeable development in its laws and regulations.

Abstract

This research aims to explore the role of accounting in improving the financial performance of both public and private institutions, focusing on how modern accounting tools such as Enterprise Resource Planning (ERP) systems and cloud-based accounting software can enhance financial efficiency and increase transparency. The study adopts a descriptive-analytical approach, using surveys to collect data from accountants and financial managers within various institutions. Financial performance was assessed using key financial indicators such as Return on Investment (ROI), Return on Assets (ROA), liquidity ratios, and profitability ratios. Additionally, the research analyzes the economic and regulatory challenges institutions face in implementing modern accounting systems and the impact these challenges have on the accuracy of financial reporting. The findings indicate that the use of modern accounting systems significantly improves financial efficiency by accelerating the process of data collection and analysis, thus enabling more accurate strategic decision-making. The results also reveal that institutions face economic and regulatory challenges, such as changes in laws and regulations, which affect the effectiveness of accounting systems.

The research concludes that adopting modern accounting systems positively impacts financial performance but requires a flexible environment to adapt to economic and regulatory challenges.

Abstract

Accounting information is a vital element and an important basis in evaluating the performance of companies and an important tool in formulating their policies and making future decisions, especially with regard to investment decisions in securities, especially if this information is prepared in accordance with local or international principles and standards, which gives it quality and effectiveness in its use. The problem of the research lies in the accounting information is still unclear in the financial reports, which leads to difficulty for investors in making their investment decisions regarding buying and selling shares in the Iraqi Stock Exchange. The research aims to study the relationship and impact between the quality of accounting information and the investment decision-making process, and to highlight the importance of the accounting information contained in the reports. The financial statements of companies registered in the Iraqi stock market are for investors to help them make their investment decisions. In his study, the researcher used the questionnaire form method in collecting data. Among the most important results are: Individual Iraqi investors find that the accounting information contained in the financial reports is clear, understandable, and sufficient for the purpose of making their investment decisions. Iraqi individual investors need accounting information when making their decisions about buying and selling shares on the Iraqi Stock Exchange, and reading financial reports greatly affects their investment decisions. The most important recommendations: Work to increase individual investors’ awareness of the importance of the Board of Directors’ letter when making their investment decisions.

Abstract

In the modern era, providing them with modern tools and technologies that This research aims to study the impact of digital transformation in accounting and its role in reducing poverty. Digital transformation is one of the most prominent developments witnessed by institutions contribute to improving financial and administrative performance. The research problem lies in the main question: Does digital transformation in accounting have an impact that can contribute to reducing poverty? This research aims to demonstrate the impact of digital technologies on developing accounting practices and improving financial resource management, which positively impacts economic and social development. To achieve these objectives, the study is divided into several sections. The first section of Chapter Two addresses the concept of digital transformation, its importance, objectives, characteristics, and types. It also explores the dimensions of digital transformation: the technical, human, and organizational dimensions, recognizing their crucial role in the success of digital transformation within institutions. The second section examines the concept of accounting and the impact of digital transformation on it. This section clarifies the role of modern technologies in developing accounting systems and improving the efficiency of financial and accounting processes. The research concludes that digital transformation contributes to the development of accounting practices by enhancing the accuracy of financial information and strengthening transparency and oversight. This, in turn, helps improve financial resource management and supports decision-making, which can indirectly contribute to economic development and poverty reduction.

Abstract

The research aims to shed light on the importance and role of the external auditor's report in rationalizing the decisions taken by decision makers and to identify the most important basic contents of the external auditor's report as a concept, objectives and standards and the extent of their impact on credit decision-making in Iraqi banks. To achieve the goal of this research, an experimental study was conducted. It was subjected to a sample of credit officers working in (18) banks listed in the Iraq Stock Exchange, and their number reached (53) individuals, through the preparation of (4) hypothetical external audit reports, each of which includes one of the types of opinion expressed by the external auditor to measure the impact of the auditor’s opinion External factors on the elements of the credit decision represented in the size of the loan, the interest rate, the term of the loan and the size of the collateral required. ). The researcher concluded: "There is a statistically significant effect of the external auditor's report on the decision to grant credit."

Abstract

This study aims to examine the impact of both green accounting and artificial intelligence on environmental sustainability by analyzing the role of modern accounting practices and intelligent technologies in enhancing the environmental performance of institutions. The research was based on the descriptive analytical approach, where data was collected from a sample of employees at Warith Al-Anbiya University using a questionnaire consisting of (15 items), which included three main axes; (5 items) were allocated to artificial intelligence indicators, (5 items) to green accounting systems, and (5 items) to environmental sustainability. The data were analyzed using the statistical program (SPSS). The research adopts a descriptive-analytical approach, where data were collected from a sample of academic and economic institutions and analyzed using appropriate statistical methods to test the study hypotheses. The results reveal a significant positive impact of green accounting on environmental sustainability, highlighting the importance of adopting environmentally oriented accounting practices to improve environmental performance. Furthermore, the findings indicate a strong influence of artificial intelligence on environmental sustainability, as AI technologies contribute to enhancing resource efficiency, reducing pollution, and supporting sound environmental decision-making. The study concludes that integrating green accounting with artificial intelligence is essential for achieving environmental sustainability goals. It emphasizes the need to develop accounting systems and adopt modern technologies within institutions. The study also recommends increasing awareness of these practices and providing institutional and regulatory support to ensure their effective implementation. Keywords: Green Accounting, Artificial Intelligence, Environmental Sustainability, Environmental Performance, Sustainable Development.

Abstract

The research aims to clarify impact of using resource consumption accounting to improve the quality of accounting information that management needs it for making future decisions that related to cost management and resources and the rate of its exploitation. In the section, the researcher dealt with the concept of resource consumption accounting, get to know its steps, and the benefits of using it. As for the second section, he touched on the quality of accounting information and their characteristics, and standards for measuring the quality of information. The researcher adopted use of the analytical and statistical aspect to verify the research hypothesis through using a questionnaire that was distributed to a group of people consisting of administrators, accountants, engineers, technicians and a group of academics. The researcher concluded that resource consumption accounting helps in providing useful information for decision-making that includes the company's resources and the relationship between these resources, thus it achieves the quality of the information. The researcher made important recommendations, as he recommends the adoption of resources consumption accounting which it provides useful information to decision-makers that help them in planning and managing resources in the future

Abstract

Corporate social responsibility (CSR) is a fundamental element of sustainable business operations, highlighting how companies contribute to solving social and economic problems. Poverty reduction is one of the most pressing of these problems and remains a key objective of national and international development agendas. This study examines how accounting disclosure of CSR can support policies aimed at poverty reduction and improve transparent reporting for decision-making among stakeholders. An inductive approach was adopted to address the research problems and theoretically test the hypotheses to achieve the research objectives. Practically, the research employed a descriptive approach to analyse the results of a questionnaire distributed to a sample of companies listed on the Iraq Stock Exchange. One of the most significant findings was a statistically significant relationship between accounting disclosure of CSR and sustainable development. The study concludes that the business sector's contribution to poverty reduction and sustainable development can be significantly enhanced through strong and consistent accounting disclosure of CSR.

Abstract

This study aims to analyze the role of good digital governance in enhancing strategic sovereignty in Iraqi private universities by revealing the nature of the relationship and impact between the two variables in light of the accelerating digital transformation in the higher education sector. The study adopted a descriptive-analytical approach, and data were collected using an electronic questionnaire distributed to a sample of professors from Iraqi private universities. The number of valid responses for analysis was 154. Good digital governance was measured through five main dimensions: digital accountability, digital transparency, fairness and equity, digital participation, and service efficiency. Strategic sovereignty was measured through a set of indicators related to decision independence and the institutional capacity to plan and control information resources. The results of the statistical analysis showed a strong, statistically significant positive correlation between good digital governance and strategic sovereignty, with a correlation coefficient (R = 0.72) at a significance level of (p < 0.001), indicating the strength of the relationship between the two variables. The regression analysis revealed that the dimensions of good digital governance collectively explain approximately 52% of the changes in strategic sovereignty (R² = 0.52), with a statistically significant overall standardized effect size (β = 0.68). At the dimension level, the results showed that digital transparency, digital accountability, and service efficiency were the most influential dimensions in enhancing strategic sovereignty, followed by digital participation and fairness and equity. This underscores the pivotal role of these practices in supporting the independence of strategic decision-making and strengthening institutional capacity to respond to challenges.

Abstract

This study highlights the disclosure of important segmental information in segmental reports, which is an appropriate tool for investors and other stakeholders where information is presented in a segmented manner, allowing for more accurate analysis to make informed decisions. Under IFRS (8) companies must provide segment disclosures Financial instruments that enable investors to evaluate different sources of risk and income as management does. The researchers reached a set of conclusions, the most important of which is that the sectoral reports are a reflection of the internal reports that were submitted to the main decision maker to evaluate performance and allocate resources. The sectoral reports allow reviewing the operations of the economic unit from the same management perspective. Very reliable because it was used in decision-making and this increases the confidence and credibility of users in financial reports. The researchers also concluded that the essential information in each sector must be disclosed accurately and transparently in order to help users understand the performance of the economic unit through its operational sectors, evaluate its performance and allocate resources to it.

Abstract

The social responsibility of emerging organizations refers to the obligation of management to consider and respond to issues that extend beyond the organization’s administrative, economic, and legal requirements, in a manner consistent with social values and cultural tolerance. Management is composed of individuals who are responsible for routine decision-making and for formulating and implementing organizational policies. Accordingly, it can be argued that the ethical ideals and beliefs of these individuals, particularly their personal values, play an important role in shaping their decisions. Therefore, this study focuses on how cultural tolerance within organizations can contribute to creating and maintaining organizational cultures and a sense of social responsibility. These organizational cultures emphasize ensuring environmental and social sustainability. The study highlights the need for managers to pay greater attention to organizational social responsibility, particularly with regard to the influence of their personal values on their work through cultural tolerance. The first part discusses the concept of cultural tolerance and the relationship between values and organizational cultures within the context of Iraqi society. The second part provides a brief review of organizational social responsibility and explores the perceptions of participating managers, identifying the main thematic patterns embodied and adopted to achieve organizational objectives

Abstract

Research aimed to present German cost accounting(GPK) as a methodology for estimating flexible costs, and a more comprehensive system than most traditional cost systems in estimating costs, adopts a variable cost approach that is characterized by being proportional costs that reflect the direct proportional relationship between variable costs and productive units, as the conceptual structure of German cost accounting (GPK) consists of four elements represented in cost element accounting, cost center accounting, production unit accounting and multi-level contribution margin accounting, which is a more accurate and detailed approach than The single-level contribution margin used in traditional cost accounting, and the research sample was the Institute of Management / Rusafa one of the formations of the Middle Technical University(MTU), and the research reached a set of conclusions, the most important of which was; that German cost accounting (GPK) accounting is more sophisticated and comprehensive than traditional cost systems as it unites and addresses all the needs of administrative, accounting and cost functions and adopts high operating modeling in planning, organization and control, and thus provides more accurate data that helps in making clearer decisions, and that the contribution margin is multiple. Levels are an appropriate analytical tool to rationalize a variety of non-routine decisions, as they provide a more detailed view of product costs in a way that helps companies identify the products that achieve the most profitability, and in light of these conclusions, the research proposed a set of recommendations, the most important of which was; The need to adopt German cost accounting as it is a method of planning and control that provides tools for planning and controlling costs by allocating resources to the most profitable activities more effectively and efficiently, The need to adopt contribution margin analysis Multi-level when making production and pricing decisions because of its role in identifying the most profitable products to develop and unprofitable to stop, and this analysis also helps determine the best mix of products and provides companies with a more accurate view of the profitability of each product.