Search Results for ابراهيم Ibrahim

Abstract

The current research aims to identify the relationship between strategic agility and organizational dexterity by demonstrating the nature of the correlation between the two variables and determining the extent of the influence of the independent variable (strategic agility) on the dependent variable (organizational ambidexterity), at the aggregate level and at the sub-dimension level. The research problem was represented by the weak embodiment of strategic agility, as well as the lack of knowledge of its impact on organizational ambidexterity in private universities in Baghdad. The research adopted the descriptive-analytical approach, and the questionnaire was the primary tool for data collection. The sample size reached (178) respondents from private university employees. A number of statistical methods were used to extract results. One of the most prominent findings of the research was the existence of a statistically significant influence relationship between strategic agility and organizational dexterity at the aggregate level and at the sub-dimension level.

Abstract

    The research deals with post-war economics: economic problems, recovery and stability policies for post-war economies with a reference to Iraq for the period 2000-2019, as it clarifies the terms related to post-war economics, and its importance to international organizations that often resort to intervention in order to achieve peace in conflict areas, It also deals with the motives leading to war, and the factors that stand behind them, and the research stands on the most important economic effects of the conflict, and the economic problems faced by countries in the post-conflict phase in order to determine the best ways to address them. The war, while the second topic deals with the economic effects of the conflict, while the third topic deals with recovery and stability policies in the post-conflict phase, and the fourth topic deals with economic growth and indicators of economic reform in Iraq, and the research ended with a set of conclusions and recommendations.

Abstract

The research addresses two main topics: the International Public Sector Standard (IPSAS 24) relating to the presentation of budget information in financial statements, and the Government Financial Management Information System (GFMIS).

In relation to IPSAS 24, the research focuses on clarifying how budget information is presented in public sector financial statements. The standard aims to achieve transparency and reliability in providing financial information to governments and government institutions. The research addresses various aspects of the standard, such as defining financial terms, basic principles, and requirements that must be met in submitting the budget.

 For GFMIS, the research reviews and evaluates this system that is used in managing financial information for governments. GFMIS aims to improve the efficiency and effectiveness of government financial resources management, and facilitate financial planning, monitoring and evaluation processes. The concept of GFMIS, its components and benefits are reviewed, as well as the challenges of its implementation and future preferences for its development and improvement.

 Overall, the research aims to provide previous researchers with an overview of IPSAS 24 and its importance in presenting budget information in public sector financial statements, as well as reviewing GFMIS and its role in improving government financial information management. This research can contribute to raising public sector awareness of the importance of adhering to international accounting standards in the public sector and using advanced financial information management systems to enhance transparency and effectiveness in managing the financial resources of governments.

The main reason for linking these two variables is to enhance transparency, accountability, and financial control in the public sector and ensure that government financial information complies with international accounting standards in the public sector. Therefore, reviewing these two variables and analyzing their role will provide an important theoretical and applied framework for understanding the relationship between them to rationalize the budget. The most important conclusions reached for the review research are that the main goal of applying the (IPSAS) standards is to achieve compatibility in accounting policies at the global level by providing guidance and directives to develop a comprehensive theoretical framework for government accounting. Evaluating government performance is achieved through commitment to applying the (24 IPSAS) standard., which allows the preparation of a variety of financial statements detailing the approved budget and actual expenditures, the final budget (adjusted allocation), and achieving the qualitative characteristics of accounting information. The government unit did not disclose in the financial statements the extent of compliance with legislative and regulatory laws and other regulations imposed by external parties. (The State) As for the recommendations, the researchers suggest that government institutions should commit to implementing the IPSAS 24 standard completely and accurately to ensure compliance with international accounting standards. Government institutions should analyze their actual needs and conduct a feasibility study before making any transfers in the original budget, in order to ensure a strong scientific basis and improve the institution’s performance in adhering to budget directives. Government institutions should fully and effectively implement GFMIS in all government units to enhance transparency and financial control. The GFMIS should also be configured in a way that meets the needs of the government unit in a way that enables it to record and track financial transactions and prepare financial reports in an accurate and timely manner.

Abstract

The Iraqi economy has known the phenomenon of foreign currency substitution since the eighties, with the increasing deterioration of the value of the Iraqi dinar and the appearance of signs of rapid inflation. Its actual expansion began with the phase of imposing the economic blockade in the nineties. Despite the decline in inflation rates following the phase of the economic blockade, the political, economic, and security turmoil After 2004, it was negatively affected by high inflation rates, especially during the period (2004-2007), which was reflected in the use of the US dollar as a tool to measure future payments, then a store of value, and then a medium of exchange in transactions that take place locally. Our study attempts to identify the phenomenon of foreign currency substitution in all its meanings and its relationship to inflation. Verifying the phenomenon of foreign currency substitution and determining its reality in the Iraqi economy during the period (2004-2022) In order to achieve the goal, the study adopted the inductive approach in analyzing the phenomenon under study, used the descriptive analysis method, and chose the correlation model to analyze the data and reach the results. After following the International Monetary Fund index in measuring foreign currency substitution represented by dividing deposits in foreign currency by the broad money supply, the study concluded There is a direct relationship between the inflation rate and the rate of foreign currency replacement in the Iraqi economy, with a strong direct correlation rate of (0.70) Therefore, the phenomenon of foreign currency substitution must be taken into consideration and the necessary measures taken to reduce it, especially through policies to stabilize inflation rates at low levels and search for another way to price crude oil instead of the US dollar, and let it be a basket of foreign currencies in order to reduce the linkage of the Iraqi economy to the dollar

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

The research aimed to measure the negative impact of monetary shocks on the capital adequacy of the Iraqi banking sector for the period 2004-2022 using the Threshold Regression Model. The results of the research showed that there is an impact of the variables of monetary shocks (money supply, exchange rate, interest rate, index number). (prices) on the (banking sector capital adequacy) index. The most important findings of the research are that the banking sector capital adequacy at the threshold is less than 2.8984929 trillion. There was a positive impact of the money supply shock on the banking sector capital adequacy. However, when capital The banking sector is confined between 7.6688449 and 2.8984929, so the effect of the money supply shock on the capital adequacy of the banking sector is positive. However, in the third system, when the capital threshold is less than 11.73928 and greater than 7.6628449, there was a negative effect for both (the interest rate shock and the supply shock) at a significant level. 5%, while there was a significant positive effect of the exchange rate shock, and in the fourth system at the capital threshold greater than or equal to 11.73928, there was a negative effect of the price index shock at a significant level of 5%, while here there was a significant positive effect for both (the interest rate shock and the money supply).

Abstract

The research aims to shed light on the concept and importance of integrated business reports, guidelines and elements of their informational content, as well as accounting disclosure in government units. The research community was represented by non-profit government units, while the research sample was chosen by the University of Baghdad as an intentional sample for the research. To achieve the goal of the research, the researchers prepared a survey form to measure the level of application of financial and non-financial indicators in the governmental unit (University of Baghdad) in the form of percentages according to the elements of the integrated report according to the (IR) version in 2021, with the use of indicators of the Global Reporting Initiative (GRI) according to its latest version In 2020 with its economic, social and environmental dimensions on the elements of the integrated report, and based on the financial and non-financial reports issued by University of Baghdad for the year 2019,The most prominent finding of the research is that the percentage level of disclosure according to the international framework for the integrated report (IR) for the governmental unit / University of Baghdad was (38%), which is a weak percentage of disclosure compared to (100%), and the researchers recommended the need for the governmental unit to adopt the International Integrated Reporting Framework ( IR ) because it provides a detailed and comprehensive presentation of all financial and non - financial information in a transparent and credible manner.

Abstract

يهدف البحث الى تحديد دور ممارسات وأساليب وتقنيات تمهيد الدخل في التنبؤ بالفشل المالي في الشركات، والتعرف فيما اذا كانت هذه الممارسات تؤدي الى زيادة او تقليل احتمال الفشل المالي، وكيف تؤثر في قرارات مستخدمي القوائم المالية، فضلاً عن تحديد الاطار النظري لتمهيد الدخل والفشل المالي والتنبؤ بالفشل المالي واهم النماذج المستخدمة في التنبؤ بالفشل المالي، وذلك من خلال اختبار فرضيات البحث ومحاولة التوصل الى حل لمشكلته المتمثلة بعدم وضوح العلاقة بين تمهيد الدخل و الفشل المالي، والتي تجسد مشكلة البحث التي يمكن صياغتها في التساؤلات الآتية: هل تساهم ممارسات تمهيد الدخل في زيادة احتمال الفشل المالي؟ هل يؤثر تنوع ممارسات تمهيد الدخل في احتمال الفشل المالي؟وقد استند البحث على فرضيتين رئيسيتين هما: توجد علاقة لتمهيد الدخل في التنبؤ بالفشل المالي وفق نموذج Altman. ان علاقة تمهيد الدخل في التنبؤ بالفشل المالي وفق نموذج Altman هي علاقة طردية.وقد تم تطبيق البحث على عينة من المصارف التجارية المدرجة في سوق العراق للأوراق المالية، اذ تم اختيار المصرف الذي يكون صافي دخله غير المستقر.وبالاعتماد على القوائم المالية توصل البحث الى عدد من الاستنتاجات من اهمها: اظهرت نتائج البحث ان المصرف كان ضمن نطاق مرتفع من خطر الفشل المالي،و ان دور التمهيد كان محدوداً وغير مستمر خلال مدة الدراسة البالغة خمس سنوات، وكانت طبيعته سلبية في اغلب الفترات مما يعني انه لم يساهم بشكل كبير في تقليل خطر الفشل المالي.

Abstract

This research aims to analyze the impact of bank Credit risk as an independent variable on the returns of investors represented by the free cash flow available to the owner of Common stocker as a dependent variable. To achieve this goal, we used a sample of (20) Iraqi Commercial bank for the period from 2014 - 2020. using quantitative risk metrics, the study found correlations and adverse influence between two of dependent variables and positive correlations and effect with the other variables.

Abstract

The research aims to review the role of green banking in achieving environmental sustainability, by clarifying the basic concepts of green banks and environmental sustainability, and identifying the most important advantages of green banks, and thus showing the effectiveness of using green banking products and services in achieving environmental sustainability.

The study was carried out in a sample of Iraqi banks, and to achieve the goal of the research, the questionnaire was used as a main tool for data collection, and it consists of (50) paragraphs for the purpose of measuring the dimensions of the study, according to the (Likart) scale with five-weights, and statistical methods were used to process the data for the purpose of reaching the results. Depending on the statistical analysis program (SPSS).

The research has a main hypothesis that there is a statistically significant relationship between green banks and environmental sustainability. The research reached a main conclusion, which is that Iraqi banks possess great material and human capabilities that, through their proper employment, can play a greater role in the process of protecting the environment.

And the most important recommendations of the research is the necessity of cooperation and unifying efforts between the Central Bank and the Ministry of Finance by drawing a road map for converting all Iraqi banks to green banks that care about the environment.

Abstract

Given the great importance of financial stocks and their significant role as one of the financial assets used in building the optimal investment portfolio, they are exposed to many risks, the most important of which is the decline in their market value. Therefore, our study addressed the reverse split method as a financial method used to raise the prices of financial stocks with low prices. A sample of Iraqi banks that suffer from A decrease in the level of share prices of (14) Iraqi banks for the period from 6/2014 to 6/2024, as the research aims to know the extent of the ability of the reverse segmentation method in building optimal investment portfolios when implementing the reverse segmentation, and two sides of the reverse segmentation were taken, which are the positive side represented by the rise in prices, as well as the negative side represented by the decrease Stock prices when implementing the reverse split, and the research aims to know the effect of this method on the returns and risks of stocks after its implementation, especially the returns and risks of portfolios that were built based on the cut rate as well as the performance of these portfolios, as it was found that the effect of the reverse split of stocks was found whether at a rise in the price level or at a fall in stock prices after its implementation, and that the returns The risk levels increased more when prices rose after the reverse split than when prices fell. The research results also showed that the optimal portfolio’s return when prices rose after the reverse split was higher than the portfolio’s return after the price decline. However, the risk of the optimal investment portfolio when prices fell after the reverse split was higher, the risk of the investment portfolio is higher when prices rise after implementation. The reverse split did not play any role in improving the performance of the investment portfolio whether prices rose or fell. Therefore, investment portfolio managers who seek to achieve high levels of returns regardless of the level of risk associated with those returns should buy shares of banks that implemented the split decision. Reverse, and this requires the management of the Iraq Stock Exchange to include the reverse split within the procedures in effect in the Iraq Stock Exchange.

Abstract

Debt structure is a crucial focal point in banking sector performance, as the distribution of debt between short-term and long-term affects financial risks and the market value of banks. Within the Iraqi economic environment undergoing structural transformations, analysing this impact emerges as a strategic tool to enhance banking stability and attract investments. This study provides an in-depth analytical perspective on the impact of debt structure dimensions (short-term, long-term, and total) on the performance of Iraqi commercial banks, based on comprehensive field data and advanced statistical models, to offer actionable recommendations. This study aimed to analyse the impact of debt structure dimensions (short-term debt, long-term debt, and total debt) on the market value of Iraqi commercial banks. The study adopted the descriptive-analytical approach. The study population comprised (366) individuals from top, middle, and executive management levels, utilizing a comprehensive survey method. A set of statistical tools was employed, including (percentages, frequencies, arithmetic means, standard deviations, factor loadings, and impact analysis), relying on the (SmartPLS.4) program for structural equation modelling. The results revealed a high level of the overall performance indicator for both debt structure and market value. Furthermore, they demonstrated a statistically significant impact of all debt structure dimensions on the market value of the banking sector under study. In light of the findings, the study recommended developing programs to issue medium/long-term bonds in partnership with the Central Bank of Iraq (CBI), allocating at least 20% of the credit portfolio to this type of financing to support infrastructure projects with stable returns.

Abstract

The role of small and medium enterprises is essential in economic and social development and is the focus of attention of governments and international organizations, most notably the United Nations Industrial Development Organization. Their importance increases in developing countries because they represent the only realistic prospects for economic development and an effective tool for addressing the problem of unemployment and poverty there. The research aims to clarify the concept of small and medium enterprises and their role in achieving comprehensive economic and social development in Iraq in the current and future stages. The descriptive and deductive approaches were followed, in an attempt to link small and medium enterprises and sustainable development in the Iraqi economy in this research. Small and medium enterprises face a number of obstacles that limit their contribution and effectiveness in sustainable development in Iraq, then explaining the most important details in order to develop appropriate solutions for them. In this research, we will focus on several concepts for small and medium enterprises and shed light on the most important conclusions, including that the private sector of small and medium enterprises is in dire and necessary need of government support to be able to advance and develop. In conclusion, a number of recommendations were presented for the development of small and medium enterprises, and we hope that they will be of assistance in the research topic, including the urgent need for the Iraqi government to play an important role in creating supportive regulatory frameworks through collective funds and other mechanisms, establishing microfinance units in the Ministry of Trade and the Central Bank of Iraq to provide the necessary consultations for the work of small projects.

Abstract

    The importance of the current research stems from clarifying the effect of soft power as an independent variable in achieving job satisfaction as a dependent variable, as the research seeks to how to benefit from the methods of rational decisions by decision makers in order to consolidate the principles of job satisfaction among workers in a governorate education directorate,  The descriptive analytical approach was adopted to complete the research, as a number of main and sub-hypotheses were tested to indicate the relationships of correlation and influence, and answers to the questions of the research problem were reached, as an intentional sample was chosen, represented by (36) decision-makers in the Governorate Education Directorate  Anbar, the questionnaire was adopted as a main tool for collecting information, as the information was analyzed and processed according to the statistical program (SPSS), and the means represented by the arithmetic mean, the weighted standard deviation, and the relative importance were used.  Anbar in the process of communication and communication between the members of the organization. As for the most prominent recommendations of the research, the organization should encourage the spirit of teamwork among the members of the organization in order to reach the desired goals.

Abstract

This study aims to compare and improve the methods of building investment portfolios for a sample of Iraqi banks listed on the Iraq Stock Exchange, by comparing traditional methods such as the Markowitz model with modern techniques based on machine learning. The Markowitz model is key to balancing return and risk across the medium-variance optimization framework, a traditional model that many financial institutions rely on. The study focused on exploring the extent to which machine learning techniques such as key component analysis (PCA), supporting vector machine (SVM), logistic regression, and random forest can improve the performance of the investment portfolios of these banks in a volatile environment such as the Iraq Stock Exchange. These techniques rely on processing and analyzing huge financial data to discover hidden patterns and relationships that help increase returns and reduce risk more effectively compared to traditional methods. The historical financial data related to the shares and assets of the banks of the research sample in the Iraq Stock Exchange was used to evaluate the performance of portfolios according to indicators such as expected return, variance, and Sharpe ratio. The study aims to provide innovative solutions that help banks make smarter and more effective investment decisions, commensurate with the local market conditions and the economic and political challenges they face.     

Abstract

In light of the importance of stocks, whose investment and trading play a fundamental role in stock market activity, it is therefore necessary to show importance in evaluating and predicting the prices of these stocks in the future. In light of the changes in economic conditions and the difficulty of forecasting, this research dealt with one of the financial methods represented by (valuation multiples) with its six models for forecasting and evaluating stock prices and applying them to real data in the Iraqi Stock Exchange by taking a sample of the banks listed on the Iraqi Stock Exchange, which are banks ( Assyria, Baghdad, Iraqi Commercial, Business Gulf, Iraqi Investment, Al-Mansour, Sumer) which are continuing within the market activities by publishing their annual share prices, as the research aimed to determine the accuracy and closeness of the banks’ evaluation of their share prices to the market prices through the use of (valuation multipliers) For the period from (2016-2020) up to the predicted year, which is 2021, and then comparing it with the market price for the year (2021), which can greatly affect investment strategies and market activity. In addition, the relationship between the two values was tested through the nonparametric test, Mann-Whitney, in proportion to the selected sample. In light of this, the research reached a set of conclusions, the most important of which is that some of these banks are valued higher than their market value, and some are equal to or lower than the market value. Which resulted in the fact that there are no significant differences between the real value calculated by valuation multiples and the market value of the stock according to statistical tests.

Abstract

This study aimed to examine the impact of applying the Blue Ocean Strategy on enhancing the competitive advantage of Abu Shamala and Abu Dan General Contracting Company in the Gaza Strip. The independent variable was the Blue Ocean Strategy with its four dimensions (elimination, reduction, raise, and creation), while the dependent variable was the enhancement of competitive advantage. The research addressed the extent to which the strategy contributes to strengthening the company’s competitiveness amid the challenges facing the local construction sector. The entire company staff (30 employees) participated in the study through a comprehensive survey, achieving a 100% response rate. Using a descriptive analytical approach and SPSS statistical tools—including means, standard deviations, T-test, one-way ANOVA, and multiple regression analysis—the results indicated a very high application level of the Blue Ocean Strategy (84.8%) and a similarly high level of competitive advantage (84.2%). Statistically significant relationships were found between the dimensions of elimination, raise, and creation and the competitive advantage, with the creation dimension having a direct significant effect. No significant differences appeared in respondents’ assessments of the strategy based on gender, age, qualification, or job title, while differences were significant for specialization and experience, favoring administrative and financial specializations and those with over nine years of experience. Regarding competitive advantage, no differences were observed by gender, age, or job title, but significant differences existed by educational level (favoring those with a high school education or less), specialization, and experience (favoring administrative and financial fields and those with 3–6 years or over 9 years of experience). The study recommended adopting the Blue Ocean Strategy as a permanent management approach, focusing especially on the creation dimension, and enhancing institutional innovation by empowering and training employees.

Abstract

The research aimed to identify how to build models for selecting the optimal mix of investment portfolios, as well as presenting the stock returns of fifty-four companies listed on the Iraq Stock Exchange to facilitate investors' choice of the best investment alternatives by comparing stock returns with the financial market returns. Using monthly data spanning the period from March 2020 to May 2024, the research examined fifty-four companies listed on the Iraq Stock Exchange, covering all traded sectors. The research also demonstrated the importance of beta analysis (β) in classifying stocks into defensive and offensive, which helps investors build balanced financial portfolios that manage risks more effectively. The research reached several conclusions, the most important of which is that the pricing of capital assets depends on two important factors: the risk premium and the beta value. Consequently, any increase in either of these factors will be directly reflected in the prices of corporate assets.

Abstract

 The current research aims to clarify the role that psychological ownership, through its dimensions, plays in reducing the effects of toxic leadership, through its dimensions, in the Ministry of Industry and Minerals. The research started from a basic problem represented by the following question (using psychological ownership and its application in reducing the negative effects of toxic leadership), The researcher used the descriptive analytical method and used various statistical tools in the statistical program (SPSS V.23) to analyze the relationship between the main research variables, answer the main question, and verify the hypotheses. These methods include (regression coefficients, correlation coefficients, averages, standard deviations, and variances). In addition, various graphs and charts were used to illustrate the relationship between the research variables and their sub-dimensions. The sample was randomly selected from workers in some selected companies affiliated with the Ministry of Industry and Minerals in Baghdad, and the sample size reached 124 individuals. One of the most important results is that there is an effect of the psychological ownership variable, based on the four dimensions, in reducing toxic leadership behaviors in its five dimensions. Psychological ownership, stemming from individuals' feelings of ownership and connection, affects attitudes and behaviors in various contexts, including toxic leadership. The consequences of these behaviors can be harmful to individuals and organizations if left unaddressed.

Abstract

The study aims to clarifying the impact of the application of computerized information systems in achieving sustainable competitive advantage in the research community. The research tried to provide a theoretical framework for the research variables based on what theorists presented in this field, and a practical analytical framework for the opinions of a sample of managers, heads of department , unit managers and divisions in Asia Cell for cellular communications that Founded in 1999 in Iraq, it reached (75) respondents, and the computerized information systems variable was expressed as an independent variable through its dimensions, and the expression of competitive advantage as a reliable variable. The research used the questionnaire as a basic measurement tool for collecting data that was used to test the research hypotheses.The research reached a number of conclusions, the most prominent of which were (computerized information systems take into account the necessary level of quality and according to market requirements, computerized information systems achieve the appropriate level of flexibility in producing appropriate production policies, computerized information systems work to produce information that reduces cost, which leads to reduced expenses And an increase in revenues, computerized information systems contribute to the delivery of products in a timely manner, which supports the competitive advantage. The positive value indicates that there is a direct effect between the dependent and independent variables, or in other words that any increase in the independent variable (computerized information systems) by one degree leads to an increase of 90. 2% in the dependent variable (sustainable competitive advantage) with the stability of all other independent variables outside this model).

Abstract

The current research aims to understand the importance of the role and impact of Marketing 4.0 on competitive intelligence. The research problem was represented by an important question: "How can Marketing 4.0 impact competitive intelligence?" To explain the relationship between the main research variables, two main hypotheses were formulated for correlation and influence, from which sub-hypotheses were derived. To achieve the research objectives, a descriptive analytical approach was used to survey the opinions of employees at Al-Safir Private Hospital. The sample included (43) employees out of a total population of (50). The intentional sampling method was used, and their opinions were surveyed using a validated questionnaire. To analyze the data, the statistical programs SPSS and Excel were used. Among the statistical methods used were Spearman's correlation coefficient and simple linear regression coefficient.         

The research reached several conclusions, the most important of which is that Marketing 4.0 plays a role and impact on competitive intelligence, contributing to increasing the hospital's efficiency and level of application of soft skills, tools, and techniques of Marketing 4.0 in competitive intelligence.                                                       

Abstract

This research is about a statement of the event that information related to recidivism and its dimensions of (saving data, investing time, justice, justice, corruption, administrative corruption, discovering tax evasion, stimulating the media, the efficiency and completeness of information and the right time), and the descriptive analytical approach has been adopted.  In light of it, the questionnaire was designed as a tool for those responsible for collecting data for the study, based on the statistical program (SPSS V.18), and the search for a related relationship with statistical significance for housing information in support was found to remove the impact of the information of the supporting bodies collectively or individually in the tax inventory