JOURNAL OF ADMINISTRATION AND ECONOMICS

The goal of the study is to define the role of Entrepreneurship in Sustainable Banking Development through Entrepreneurship dimensions; creativity and innovation, risk-taking, and initiative. Sustainable Banking Development are referred to through its dimensions (Economic Sustainment, Social Sustainment, and Environmental Sustainment). The study tries to answer several questions, some of which are: Is there a connection between Entrepreneurship and Sustainable Banking Development? The applied study samples are Iraqi banks. The two researchers adopted the descriptive and analytical approach through the prepared resolution for such purpose The resolution distributed on samples comprised of (144) individuals representing banks department and divisions directors, in addition to interviews and important notes. In preparation for testing the hypotheses, the study was built on a number of statistical methods, including (Arithmetic mean, Cronbach's alpha, Pearson correlation coefficient, Simple and Multiple linear regression, Coefficient of determination (R2), Marginal propensity (β), t-test, F-test, and the usage of statistical programs; spss-v24 and Excel.The study reached a set of conclusions, most important of which is that: samples of the bank administrations of the study are fully aware of the dimensions of Entrepreneurship and the dimensions of sustainable banking development and they will adopt this relation. In the end, the study closes with a set of recommendations, most important of which is the necessity of investing in this positive relationship between Entrepreneurship and Sustainable Banking Development of the study samples in order to increase interest and benefit in the ecology of work to improve the banks’ reputation.

Institutional governance is one of the mechanisms that have become necessary to apply in most institutions, whether governmental or private, in order to achieve effective rational management that fulfills the interests of all those dealing with the institution. To highlight this role, the researchers set three goals
1. Focusing on the role of audit committees in boards of directors, as they are the most important pillars of achieving this new concept.
2. The relationship of these committees to the internal and external audit committees.
3. Draw the attention of all responsible authorities to the danger of financial and administrative corruption.
To achieve the objectives of the research, the researchers followed the descriptive and analytical approach.
The researchers reviewed the research variables, and the first topic included corporate governance, its development and benefits.
As for the second topic, it included the conceptual aspect of financial and administrative corruption and its most important causes, manifestations and consequences.
As for the third topic, the role of governance mechanisms in reducing cases of financial and administrative corruption.
1. Governance is the effective method for curbing administrative corruption if appropriate and clear laws are put in place, with the importance of including them in punitive texts that deter anyone who abuses the application of law and strives in his administrative specialization
2. Conducting a comprehensive evaluation process for governance programs.
The researchers also recommended:
1. Applying the governance mechanisms that the researchers cited to address the problem of financial and administrative corruption that afflicted state-owned enterprises and companies.
2. Spreading the culture of governance in society, through various media outlets and civil society organizations, and activating the role of the media in all its forms by educating people about types of corruption,
And ways of cooperating with him to eliminate it, and society realizes that governance is against any kind of corruption or any corruption that aims to rob society of its wealth, money and gains.

The current study aims to study the possibility of applying Knowledge Management Models and their role in achieving improvement in technical and administrative performance in the Iraqi Oil Exploration Company. The researcher determined the level of institutional performance in a company by distributing a performance measurement questionnaire consisting of (35) items. After collecting and analyzing the responses, the researcher selected models for knowledge management as he analyzed them and converted them into a special questionnaire for each knowledge model in a sequential order from the dimensions to the axes and points.
After distributing the questionnaire for each model, the models that are most suitable and consistent with the reality and nature of performance in the company were determined. The models are (the practical intelligence model with a higher percentage, while the knowledge management life cycle model obtained the second sequence). Descriptive analysis and distribution of the data were used as well as the percentage of flattening and twisting of the sample. The study, then, uses the AMOS program, the confirmation analysis, the Fakronbach factor, and the statistical program (SPSS V23) to confirm and prove the hypotheses of the study.
As for the study population was selected from a sample of 220 individuals that included directors, agents, heads of departments, divisions and units, experienced people, officials of seismic teams and their assistants to accurately represent the community.

Neural Networks technology is characterized by its ability to process inputs and reality data and bypassing traditional techniques in explaining the behavior of phenomena, which has made it a topic of interest to many researchers in different fields. The research aims to take advantage of the distinct capabilities of the neural networks when using it in making investment decisions, especially in the field of currencies, as it is one of the important areas of investment, whether at the level of individuals or financial institutions with the aim of achieving profits, which depends mainly on predicting the movements of currency prices up or down. Three types of neural networks technologies were used: Clustering Modified Radial Basis Function (MRBF), (Multi-layer perception (MLP) technology and finally (Artificial neural network (ANN)) technology to obtain the search results. The analysis was carried out using monthly information on the exchange rate of the euro against the US dollar for the period from 1/1/2015 to 31/12/2020, and MATLAB version V.5.2.0 was used to process the input data and thus obtain the search results. The research found that the use of a neural network (ANN) gives great accuracy in predicting the future movements of the currency of the research sample compared to other techniques used according to the RMSE comparison standard, which reduces the risk of investing in currencies and thus increases returns.