Search Results for performance-indicators
Abstract
Given the swift digital changes occurring in the Banking industry, the purpose of this paper is to examine how well artificial intelligence systems can forecast and protect against future disasters. By utilizing its skills in big data analytics, forecasting financial behavior, and more accurately and effectively managing risks, artificial intelligence (AI) is increasingly regarded as a crucial component in the development of banking systems and improving their operational efficiency.
By enhancing client satisfaction, tailoring banking services to meet the demands of each individual, and cutting down on operational errors and administrative expenses, banks hope to gain a competitive edge by utilizing these technologies. AI also helps to speed up credit decisions, make it possible to identify financial crime early, and create clever marketing plans based on forecasts of future market trends.
In order to ensure financial sustainability and achieve integration between digital transformation and the demands of banking innovation, studies show that the future of AI encompasses strategic, cultural, human, technological, and organizational dimensions in addition to technical ones.
The paper also examined a number of anticipated long-term effects of AI applications, such as increased forecasting precision, lower operating expenses, better customer satisfaction, increased worker productivity, and assistance with investment choices. The findings show that implementing AI applications in the banking sector is a strategic requirement to guarantee long-term growth and competitiveness in the digital era, not a technical luxury.
In order to enhance lending decisions and lower default risks, the paper also assesses how well a number of categorization algorithms work in assessing loan applicants' creditworthiness. Using a dataset that represented the traits and financial activities of clients, seven machine learning techniques were used: Gradient Boosting, Random Forest, Extra Trees, Gaussian Naive Bayes, Logistic Regression, SVC-RBF, and KNN.
The paper used a database of 21 variables for loan applicants. Numerical variables included (age, income, credit score, debt-to-income ratio, and loan amount). Descriptive variables included (loan purpose, region, marital status, employer, educational level, and application channel). Binary variables included (whether or not the applicant had a history of default). These variables were used to predict the approval or rejection decision, with the dependent variable being represented by two values: 0 for rejection and 1 for approval.
The models were evaluated using the following six key performance indicators: Accuracy, Precision, Recall, F1 Score, Receiver Operating Characteristic Area Under the Curve (ROC AUC), and Brier Score. The findings demonstrated that the Gradient Boosting algorithm performed best overall in both probability prediction quality and customer differentiation across different risk levels. The Random Forest algorithm, which showed stability and balanced metrics, came next. On the other hand, despite its moderate performance, Logistic Regression provided great interpretability, while the Gaussian Naive Bayes algorithm demonstrated high sensitivity in identifying high-risk customers. In terms of overall accuracy and probability quality, some models—like SVC-RBF and KNN—performed worse.
Abstract
This research was conducted in one of the general directorates of the Iraqi Ministry of Electricity, which is the General Directorate of Rusafa Electricity Distribution, for three years (2015, 2016, and 2017). The research focused on the problem of lack of interest in the accounting disclosure of social responsibility in the financial statements in the aforementioned directorate.
The aim of the research is to demonstrate the role of accounting disclosure on social activities carried out by economic units in the financial financial statements, in addition to explaining the role of accounting disclosure on social activities in evaluating the performance of economic units,
The research, through measuring social performance indicators that include financial performance and non-financial (social) performance, reached conclusions, the most important of which is the lack of accounting disclosure about the costs and expenditures of social responsibility despite the fact that the General Directorate for Distribution of Al-Rasafa Electricity bears the expenses of its social performance.
The researcher recommended the necessity of enacting laws and instructions that oblige economic units to pay attention to social performance and allocating the necessary sums in the state’s general budget and disclosing them in the financial statements in order to achieve the goal of social responsibility, which is to achieve the gains that can be achieved. These units are in their nature units aimed at achieving profits.
Abstract
The international country risk guide referred to the possibility of analyzing a country's political risks using variables that included certain common or differentiated political characteristics that could become an identifiable characteristic of that country. The goal of analyzing such risks is to provide a method for quantifying and monitoring their consequences through multiple variables, including, but not limited to, the performance of financial markets. Such evaluation can be accomplished by assigning risk scores to a group of factors known as political risk elements, and despite the large size of the effects of these risks on market performance (sectors and companies), some parties avoid, ignore, or even include insufficient estimates that do not reflect their significance. As a result, the research problem focused on the idea that such levels of political risk might have a significant positive or negative impact on the performance indicators of the Iraq Stock Exchange. The ARDL model was used in the study to determine the direction and strength of the influence on the research sample. The study uncovered several results, the most important of which was that the voting process and accountability connected to the army's intervention in politics, accountability, and democracy were among the most influential explanatory factors for the two models.
Abstract
This research aims to analyze and evaluate the liquidity and banking performance indicators of the Bank of Baghdad for the period (2018–2023). Liquidity in Iraqi commercial banks is a crucial economic issue that impacts the financial and banking performance of the country, especially due to economic and political fluctuations that may hinder banks from providing sufficient funding for investment projects. This, in turn, negatively affects growth and production, leading to a decline in the financial performance of commercial banks. The research is based on the hypothesis that liquidity has a significant impact on banking performance. It adopts the deductive approach by combining both descriptive-analytical and quantitative methods. The study includes two variables: one independent and one dependent. The independent variable is the banking liquidity shock, while the dependent variables are banking performance, represented by the return on investment (ROI) and earnings per share (EPS). The researcher concluded that the Bank of Baghdad experienced very high liquidity ratios during the study period, indicating its ability to meet obligations and fulfill customer demands. This suggests that the bank enjoys strong financial performance and a solid credit position. However, profitability rates declined due to the bank’s efforts to balance liquidity and profitability.
Abstract
The research aims to address the epistemological foundations of green budgeting and compare it with traditional budgeting in terms of principles and fundamentals, as well as the impact of both types of budgeting on the environment and sustainable development. Most countries worldwide are facing significant environmental challenges, necessitating the replacement of traditional fiscal policies with financial policies that integrate environmental goals within economic objectives. The study relies on previous research related to the variables under investigation to describe and analyze budgeting methodologies and compare them. Data were collected based on content analysis of previous studies and recorded observations.The research concludes that green budgeting is an effective tool for achieving sustainable development by integrating environmental policy with the state's financial policy, thereby balancing economic and environmental considerations simultaneously. Additionally, it finds that green budgeting supports the circular economy rather than the linear economy.The study recommends adopting green budgeting as a modern approach to government budget preparation. It also suggests enacting laws and regulations by the legislative authority to support the green budgeting approach, such as imposing environmental standards on government and private sector projects, promoting and supporting investment in environmentally friendly activities, and developing indicators to measure both financial and environmental performance. These indicators would assess progress resulting from green budgeting implementation, such as reductions in carbon emissions and their impact on treatment cost reductions, increased use of renewable energy, and decreased fossil fuel consumption costs.
Abstract
In recent years, institutions have faced increasing challenges, including resource scarcity, shifting customer expectations regarding service quality, and growing commitments to economic, social, and environmental sustainability. Amid these challenges, international reports, including the 2024 Sustainable Development Goals (SDGs) report, highlight the limited progress towards achieving the SDGs in Iraq. The report indicates that nearly half of the goals are showing only slight or moderate progress, while more than a third are moving in the opposite direction. This reality underscores the need for continuous improvement in institutional processes, a goal to which Total Quality Management (TQM) contributes by enhancing performance efficiency, optimizing resource utilization, and developing skills. This issue is particularly relevant in Iraq, as the World Bank's SDGs report indicates a performance gap of 34.1%, making an analysis of TQM's role essential to understanding its contribution to bridging this gap. This research aims to analyze the impact of Total Quality Management (TQM) on achieving sustainable development within the Iraqi Ministry of Electricity. This is achieved by measuring the level of TQM implementation and its reflection on performance indicators. The study relied on a sample of 100 department and division managers. A total of 130 questionnaires were distributed, 110 were returned, and 100 valid questionnaires were analyzed using SPSS software. The results showed a clear understanding among the sample of the importance of TQM practices in promoting sustainable development. Furthermore, the results indicated a statistically significant impact of TQM on sustainable development. The study recommends strengthening the adoption of TQM principles within the Ministry of Electricity as a framework for improving processes and enhancing performance efficiency. This will contribute to bridging the performance gap and achieving tangible progress towards sustainable development.
Abstract
The aim of this research is to measure the sustainable performance of Al-Qasim Green University based on the indicators of the Sustainable Balanced Scorecard (SBSC), and to assess the university’s ability to serve the community through social and environmental performance indicators. Sustainable orientation is essential in today’s business environment, as it reflects the clarity of strategic objectives and the roles of faculty and support staff in delivering high-quality, distinguished educational services. It also supports creative capacities to build a strong academic reputation, making the university a key contributor in meeting labor market needs.
The study adopted a case study methodology focusing on Al-Qasim Green University, using both financial and non-financial data for the period (2018–2019). The results were measured and analyzed accordingly. Findings indicate that the university is capable of enhancing sustainable performance, provided that improvements are made in cost and managerial accounting systems. These improvements should aim to provide decision-makers with relevant information that reflects the university's economic, environmental, and social realities.
The research recommendations emphasized the importance of university leadership giving due attention to environmental and social factors, alongside economic ones, in adopting higher education and scientific research strategies. It also called for creating multiple channels of engagement with the labor market and the community.
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 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.