Search Results for iraqi-industrial-companies-
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
This study aimed to demonstrate the role of the integration of RCA and CE technologies in reducing production costs in Iraqi industrial companies, through the application to the data of the fiscal year (2020) for the Nasiriyah textile factory affiliated to the General Company for Woolen Industries, and the study showed several results from The most important of them :
- There is a possibility to apply the techniques of RCA and CE in the Iraqi industrial companies.
-The integration between the two techniques of accounting for resource consumption and simultaneous engineering leads to the optimal exploitation of idle energy and work to exploit it through the work of restructuring some of the things in the activities of the factory.
- Also, this integration enables the company's management to discover idle energy and exploit it and delete activities that do not add value to the product.
- The company's customers in general do not prefer the mat to enter furniture that matches the mat in quality and price.
The researchers presented a number of suggestions in the light of these conclusions that could contribute to developing the competitive advantage of companies operating in the textile industries sector in Iraq.
Abstract
The research aims to analyze the impact of awareness of organizational dynamics on enhancing strategic positioning, based on the importance of employees’ understanding of the internal and external factors that shape the organizational work environment—such as culture, structure, relationships, and communication—and their reflection on the organization’s ability to define its competitive position effectively and sustainably. The study adopted the descriptive-analytical approach and employed a questionnaire to collect data from Al-Ittihad Food Industries Co. Ltd. in Babil Governorate, with a sample of 262 employees from the company’s sugar refinery plant. The research gap lies in the scarcity of studies that have examined the relationship between awareness of organizational dynamics and strategic positioning in an integrated manner within the Iraqi business environment—particularly in the food industry sector, which faces ongoing market transformations and increasing competition. This context requires a deep organizational awareness that connects culture, structure, leadership, and communication as an interactive dynamic system. The findings indicate a positive and statistically significant correlation and effect between awareness of organizational dynamics and strategic positioning. Higher levels of organizational awareness contribute to improving management’s ability to make effective strategic decisions and strengthen the company’s competitive position in the market. The results also show that flexible organizational culture and adaptive leadership play a key role in achieving higher levels of strategic performance. The research recommends adopting a comprehensive approach to managing organizational dynamics that integrates culture, structure, leadership, and internal communication within a unified strategic vision, thereby enhancing sustainable strategic positioning and contributing to the stability and growth of Iraqi industrial companies.
Abstract
The research sought to demonstrate the role of electronic accounting programs in the efficiency of regulatory performance within Iraqi private companies. It relied on the descriptive analytical approach to describe its theoretically proposed variables, and then collected the questionnaire that had been directed to a number of individuals working in the companies under study, who formed the research sample, numbering (391). After testing the proposed hypotheses, and analyzing them according to the SPSS program, the research conclusions were as follows: There is a significant role for electronic accounting on the efficiency of regulatory performance in the Al-Tamimi Group for Engineering Industries in Baghdad as one of the Iraqi industrial companies, and there are significant differences between the average answers of the sample members about the role of electronic accounting programs in the efficiency of regulatory performance according to the variable of the number of years of experience. Accordingly, the research recommended providing a training program on electronic accounting programs with the aim of exchanging knowledge and experiences on electronic accounting programs, training auditors and accountants to practice the process of controlling accounting information technology, providing them with the knowledge and skills they need to do their work in the best possible way, enhancing the use of electronic accounting, and applying it correctly to improve the quality and efficiency of auditing operations.