The study aimed to investigate the impact of small and medium enterprises (SMEs) funding on, gross domestic product (GDP) and unemployment, as well as the amount of funding provided by the specialized institutions, and to identify the obstacles that these projects face in obtaining funding. The study population included the SMEs institutions in Jordan between the years 2009 and 2018. The study sample was limited to the Development and Employment Fund in Jordan as one of the most important SMEs funding institutions. Analytical and descriptive method was used to test the hypotheses, the simple regression model used to test the hypotheses of the study through the statistical model (SPSS). The most important finding of this study was the statistically significant impact of financing the SMEs on GDP and unemployment, the study model was able to show 95% of changes in economic development. The study recommended facilitating the provision of financing for SMEs and training the workers in these projects to improve their skills in managing their projects and conducting the appropriate financial analysis for the continuous evaluation of these projects to have positive effects on economic development. The researcher also recommends more analytical studies to reach more accurate results.

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Journal: International Journal of Economics and Financial Issues ISSN: 2146-4138 available at http: www.econjournals.com International Journal of Economics and Financial Issues, 2020, 10(2), 181-186.

This study aims to show the importance of the economic value added as one of the most modern to measure the financial performance for firms, then to know the effect of the general prices level and earnings before interest and taxes on EVA in the companies listed in (ASE) (2006-2015), the researcher addresses a random sample consisting of (46) Company, and uses regression model, which connects the dependent and independent variables. The results of the study shows that There is a significant impact for the general prices level and the earnings before interest and taxes on the economic value added, and also shows that 22% of the changes in the economic value added are due to general prices level and earnings before interest and taxes, and 78% of the changes are due to other factors. This study also recommends the need to manage of operating expenses because of the positive impact of operating profit on EVA value, and to take inflation into account when calculating the value of EVA, and also searching for other factors that could affect the value of EVA such as sales volume, cost of capital, and the growth in the total assets of the company's financial leverage, etc…

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Journal: Asian Social Science; Vol. 13, No. 11; 2017 ISSN 1911-2017 E-ISSN 1911-2025

This study aimed to discuss concerning the link between savings and investment, and highlight on most of the past studies concerning this relationship are cross-sectional in nature. The obvious difficulty with such studies is the homogeneity assumption that is usually made across the countries under investigation. In light of this, the study tried to fill this gap in some ways by attempting to investigate the causal relationship between savings and investment in Jordan using relevant econometric techniques, like Augmented Dickey-Fuller (ADF) test in a regression & Johansen co integration test. The evidence arising from the study suggests that, savings and investment are co-integrated. In other words, there is no reason to suspect either a long-run or equilibrium relationship between these two variables. This could also be interpreted to imply the existence of high capital mobility. Furthermore, a unidirectional causal relationship between savings and investment in Jordan running from savings to investment was observed, and the main findings in this study were: Johansen co-integration test result shows evidence of co-integration implying that there is a long run relationship between GDP and savings, investment and FDI in Jordan. Savings and domestic investment have long run positive and significant impact on the Jordanian economy while FDI has negative but insignificant impact on the economy

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Journal: Journal of Economics and Sustainable Development www.iiste.org ISSN 2222-1700 (Paper) ISSN 2222-2855 (Online) Vol.6, No.10, 2015

This study aims to determine the effect of EVA and ROI and which is better able to explain the change in Stock market’s value in the companies listed in (ASE) (2006-2015), the researcher addresses a random sample consisting of (46) Company, and uses regression model, which connects the dependent and independent variables. The results of the study shows that the return on investment (ROI) is better than (EVA) to interpret the changes in Stock market’s value, where the coefficient of determination (R2) for the ROI is (22.5%), while the R2 for EVA Only 1.3%. This study also recommends the need to look for additional factors that would explain the changes in stock market's value such as: the degree of leverage, systemic risks, and macroeconomic indicators such as: (interest rates and inflation).

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Journal: International Journal of Business and Management; Vol. 12, No. 10; 2017 ISSN 1833-3850 E-ISSN 1833-8119

This study discussed the Capital Assets Pricing model (CAPM) and its ability to measure the required return, the researcher tested this model on Amazon Company listed in S&P 500 during the period (2009-2016), to measure the impact of beta stock and market index return on the required return. Multiple regression model was used to test the effect of independent variables (Beta stock, Market Index Return) on the dependent variable (Required return), it should be noted that there is a statistically significant impact of the US stock market Return (S&P500) and Amazon stock Beta factor on Amazon stock required return, and the study model explanatory was 20% , this means that 20% of the changes in the required return are due to beta and market return, and 80% of the changes due to other factors, also find that CAPM can be applied on efficiency markets and huge companies. The researcher recommends applying the variables of the study on a group of large companies in the S&P 500 index, and looking for other factors that may affect the required return

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Journal: International Journal of Business and Management; Vol. 12, No. 8; 2017 ISSN 1833-3850 E-ISSN 1833-8119

Journal: Journal of law and political sciences VOL.2 ISSUE 1

The artificial intelligence methods in the Patch Antenna Multiple Wireless Applications, Recently indicate great prospects in the application of various areas of microengineering. This use of ANN for sizing patch patches of rectangular microstrip antennas with microstrip feed lines is presented in this article. Neural network in communication systems of wireless applications with antenna switching requires that antenna researchers design broadband antennas; Communication systems with high radiation efficiency should also be developed using the artificial neural network (ANN) simulation method; antenna size is a major limitation especially in mobile and wireless applications. In this paper, the problems of analysis and synthesis for the design of microstrip antennas using the artificial neural network method are considered. The task of the analysis is to calculate the resonant frequency of the microstrip patch antenna, while the artificial intelligence and the radial basis function RBF-ANN were used to implement the network model. Results obtained from an artificial neural network when compared with simulation results. The rapid development of wireless communication systems requires antenna researchers to develop miniature broadband antennas with high radiation efficiency. Communication systems require both the size and performance of the antennas, since there is a huge need for ultra-wideband, compact and efficient antenna structures that can operate in all desired subbands, from LTE (780 MHz) to WiMAX (5.5 GHz) Applications. ) with a good level of radiation efficiency and dimensions not exceeding 130 mm * 100 mm * 10 mm. All these functions are difficult to implement at the same time.

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Journal:

Information security risk analysis has increased the number of complex issues of information security, requiring the participation of specialists in different areas of knowledge. This leads to inability of such systems to evaluate the security state of computer system thoroughly. Present paper on the intellectual to risk analysis and vulnerability of information systems. The aim of the study is to eliminate subjectivity in the assessment of risks and reduction of time for the process of risk analysis and vulnerability of the computer system. The mathematical tools of artificial neural network and probabilistic attack tree were used in the research. In order to evaluate the efficiency of the developed system, the security assessment for the Windows systems was performed. As the result the conformity between the real security of the information system and the assigned evaluations was proved.

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Journal: Journal of Advanced Sciences and Engineering Technologies Vol. 2, No.1 (2019)