JOURNAL OF ADMINISTRATION AND ECONOMICS

The research aims to analyze the knowledge level of decision makers and determine their capabilities in working with knowledge management strategies to achieve strategic sovereignty at Al-Mustansiriya University and its formations, as well as knowing and measuring the relationship and impact between knowledge management strategy and strategic sovereignty.
The research problem was represented by the main question: How can knowledge management strategies contribute to achieving the strategic sovereignty of the organization under study? It was expressed in a number of questions, and to clarify the relationship between the main researches variables, two main hypotheses were formulated, from which four sub-hypotheses branched. The questionnaire was adopted as a main tool in collecting data and information related to the research, as well as the electronic questionnaire, which helped in transcribing the data and obtaining percentages and frequencies in the form of figures. Personal interviews and quantitative data were used. The questionnaire was prepared using the five-point Likret scale, and was distributed to a purposive sample consisting of (100) respondents from the leadership at Al-Mustansiriya University and its formations, representing (the university president, the university’s assistant president, deans, department heads, and divisional officials). To analyze the research data, use the ready-made statistical program (SPSS v.23), EXCEL program, and Amos v.23 program, in addition to the statistical analysis tools used.
The research produced a number of results. Perhaps most of the correlations and influence are significant between knowledge management strategies and the dimensions of strategic sovereignty, which is attributed to the integration of the use of knowledge management strategies to enhance the strategic sovereignty of the research environment at Al-Mustansiriya University. The research also included a number of recommendations, the most important of which is investing in the positive relationship and influence. Knowledge management strategies to achieve strategic sovereignty by benefiting from the accumulated experiences of professors at the university to provide the best services in a manner appropriate to its work environment.

The current research aims to find out the relationship of correlation and influence between both environmental scanning as an independent variable and readiness for strategic change as a dependent variable with its dimensions (suitability, administrative support, effectiveness of change, equal opportunities). Therefore, the problem of the current research revolves around the fierce competition between the organization under study and foreign companies, which threatens the survival of National companies to provide their local products, and the problem was formulated in the form of questions that included the extent to which the study sample in Wasit Textile and Knitting Factory understood and realized the importance of environmental scanning in expanding the circle of various solutions in addressing problems and obstacles and correcting courses of action, as well as the extent of the relationship and influence between variables in the field .
The researcher adopted the descriptive analytical method in analyzing the data and emerging from it with a number of results. The Wasit Textile and Knitting Factory was chosen, one of the formations of the General Company for Textile and Leather Industry, affiliated with the Iraqi Ministry of Industry and Minerals. The research sample was intentional and represented by managers at all levels, numbering (105). The researcher adopted A questionnaire tool was used to collect data and information using a five-point Likert scale. The questionnaire included (45) items, and statistical programs (SPSSV.25, AMOS V.25) were used to analyze and process the data by relying on a number of statistical tools, including (confirmatory factor analysis, Normal distribution test, arithmetic mean, standard deviation, relative importance, reliability coefficient, relative coefficient of variation, simple correlation analysis, structural equation modeling), and the research produced a set of results, the most important of which is the presence of a positive and strong correlation and a significant effect of environmental scanning in enhancing readiness for strategic change. This indicates the fundamental role of environmental scanning in achieving readiness and readiness for successful strategic change in the studied factory. The current research also concluded with a number of recommendations and proposed mechanisms for implementation that serve the researched factory according to the time period, and the valuable originality of expanding the environmental scanning circle of various solutions and proposals and providing more appropriate strategic options for readiness. The organization is prepared to prepare for effective strategic change in a rapidly changing environment.

The research aims to study the impact of financial stability indicators on the value of the banking sector shares of the Iraq Stock Exchange, as financial stability indicators are a useful tool for examining the safety and health of the banking sector, as well as the performance of measuring the banking stability index consisting of four sub-indices (capital adequacy index, quality index Assets, liquidity index, profitability index), macroeconomic index, Ras market index, and financial cycle index for the period (2015_2020), and the banking sector of the Iraq Stock Exchange is represented in the research community, while the research sample was represented by (25) banks of the banking sector in the Iraq Stock Exchange Financial data was collected through the monthly and annual bulletins of the Iraq Stock Exchange and the reports of the Central Bank of Iraq and the Ministry of Planning, relying on some financial and statistical methods used to analyze the data such as (SPSS 24), (E Views V.9) and (Excel) programs, the simple linear regression equation, the multiple linear regression equation, the arithmetic mean, the standard deviation and the coefficient of variation. The research reached several results, the most important of which is that the banking sector index has the greatest impact on the increase in the percentage of the aggregate financial stability index, and there is no significant impact of the financial stability indicators on the market value. For stocks, the banking sector index also has no effect on the value of stocks, but the capital market index, the macroeconomic index, and the financial cycle index have an impact on the value of stocks, and also some sub-indices of the banking sector index have an impact on the value of stocks.

The researchers aim of the study to identify the role of intellectual capital through its dimensions: (human capital, social capital, and organizational capital) in the quality of higher education, according to the point of view of a sample of the teaching staff at the College of Administration and Economics / University of Dohuk, as it raises The study asked several questions, including determining the nature of the relationship and impact between the two research variables by adopting a descriptive and analytical approach, and using a questionnaire tool that included (30) respondents, distributed in a random sample among the research sample (faculty members) in the investigated college. The data and information were also analyzed after being collected through the statistical program (SPSS. V-23), and a set of results were reached, the most important of which is: the existence of a correlation and a significant impact between intellectual capital and the quality of higher education. Based on this, the researchers presented a number of the most important proposals, which is the necessity of preserving intellectual capital from By working on developing it, developing individuals’ capabilities, and improving the information and administrative systems adopted in the researched college.

This research aims to follow up and analyze the reality of the overlapping structural imbalances in the Iraqi economy after 2003 by providing a quantitative analysis of the most important types of overlapping structural imbalances in the Iraqi economy represented by (imbalance in the production structure, imbalance in the commercial structure, imbalance in the general budget structure), and it has been shown through The research shows that the structural imbalances in the Iraqi economy result from the inefficiency of the economic and political system in directing economic resources towards goals that would maximize social benefits, and that there is a significant increase in the percentage of the oil sector’s contribution to the formation of the gross domestic product compared to the rest of the other sectors due to the imbalance in the production structure in the economy. The Iraqi economy and the weak efficiency and quality of the economic sectors, and that investment expenditures during the period (2004-2020) are still small and do not meet the requirements for the advancement of the Iraqi economy. This dysfunctional spending structure also reflects a wasteful consumption policy, and this will affect the growth rates of the Iraqi economy. The study also recommended the need to direct resources Investment spending that affects the growth rates of the Iraqi economy is the most correct direction, and thus it will lead to absorbing high unemployment rates and diversifying the base and structure of the economy .

The research aims, as a research attempt, to adapt tax accounting and make it compatible with the outcomes of the information age by creating taxes that are compatible with digital activities in the information age, where the world has witnessed radical changes that have resulted in activities practiced on digital platforms in the information space, including content creation, represented by the creation of digital content. For video and audio clips or electronic blogs in all forms on digital platforms under the name (YouTubeers, Bloggers, Influencers, etc.) and they achieve income as a result of these activities, and from extrapolating the legislative and procedural tax aspect in the Iraqi environment, it lacks such a tax regulation, unlike the countries of the world and some Arab countries. Accordingly, a proposed guide for taxes on content creation was built that included the legislative, procedural, and human aspects. The research reached many recommendations, most notably effective knowledge communication through holding meetings, seminars, and research cooperation mechanisms between universities and the General Authority for Taxes in the Iraqi environment to propose methods and mechanisms for dealing with new tax developments of the information age, including the application of the proposed guide.

Many researchers are interested in semi-parametric methods, which combine parametric and non-parametric methods, because they provide a more advanced level of statistical analysis that can be used to achieve high-level estimators. The importance of the research appears through the comparison between the two semi-parametric estimation methods and the use of the semi-parametric partial linear regression model. Two estimation methods were used, namely the Spykman method (PLMS) and the principal components regression method (PCR), using the simulation method and with different sample sizes (128, 256, 512) and different variances, which are (0.5, 1, 2), and through the simulation results it was concluded The researcher concluded that the best method is the principal components regression (PCR) method, which outperforms the Spekman method (PLMS) when the number of variables is eight variables and when linear, quadratic, and exponential smoothing functions are used.

This research aims to identify the most important determinants that affect the volume of imports of the G20 countries for the period 2016-2021. In order to achieve this purpose, the standard approach was relied upon to empirically verify the impact of the determinants of demand on imports represented by: gross domestic product, relative prices of imports, The degree of openness to global trade, the exchange rate, and the spread of the Corona epidemic, and by applying it to the data of the Group of Twenty industrialized countries for the period (2016-2022). Longitudinal data models or aggregated cross-sectional time series (Panel data) were used in analysing the study data and using the econometrics and time series software Eviews- 12. The results of the research showed that the degree of openness to global trade is the variable that most affects the imports of the industrialized countries in the study sample, followed by the spread of the Corona epidemic in second place, then the gross domestic product in third place, then the relative prices of imports in fourth place, while the effect of the exchange rate on imports has not been proven.

This research dealt with comparing the methods used in estimating the nonparametric regression model with random errors subject to the (ARMA) model, as it was estimated by using the profile least squares method with (SCAD) and employing kernel smoothers for the local polynomial (Local Polynomial Smoother). ) When the degree of the polynomial is (P=1), we get the Local Linear Smoother, and (P=2), we get the Local Quadratic Smoother. The Bayesian Information Criterion, which is symbolized by the symbol (BIC), was also used to determine the rank of the error model. Likewise, the Mean Squared Error criterion, symbolized by the symbol (MSE), was used to compare the methods used in estimating the model. Realistic data was used by taking the data of the Asia Cell Communications Company through the trading of the company’s shares in the Iraqi Stock Exchange for the period from (1/3/2023 to 5/15/2023), and the most important thing that was achieved was the superiority of the positional squared regression method using Side least squares with SCAD having the lowest value for (MSE).

In this research, the most important statistical probability distributions were presented, which is the Kamma Lindley distribution, which results from combining the Kamma distribution with the Lindley distribution in the case of the presence of two parameters. It is considered one of the important distributions in the application of social, economic, and natural phenomena, as the most important properties of the Kamma Lindley distribution were studied, such as the moment generating function, the survival function, and the survival function. And risk.
The study of the most important methods for estimating the parameters of the Kamma Lindley distribution is represented by the maximum potential estimators and the estimators of the genetic algorithm, and based on real data representing the rainfall rate for the city of Baqubah from the year 1990 - 2020, the parameters of the Kamma Lindley distribution were estimated, and the results indicated the suitability of the data to the Kamma Lindley distribution and the algorithm estimators. Genetic is better than the maximum possibility estimator by relying on the Akiki goodness of fit criterion and the Pisa goodness of fit criterion.