Pub Date : 2022-09-30DOI: 10.33095/jeas.v28i133.2348
Z. Mahmood
The current research aims to identify the impact of ambidextrous leadership behaviors on organizational energy in Al-Faris Company. The descriptive analytical method was used as a research approach. Adept leadership includes two dimensions (open leadership behaviors and closed leadership behaviors), and organizational energy includes three dimensions (emotional energy, physical energy, and cognitive energy ). The research sample included all the administrative leaders (General Manager, Associate General manager, Department Manager, Division Official ) in AL-Faris Company / the Iraqi Ministry of Industry. The researcher distributed (74) valid questionnaires after retrieving (53) questionnaires, and the research relied on the statistical package (SPSS). The results indicated that there is a strong effect and a high correlation between the research variables. The most important dimensions of ambidextrous leadership behaviors are open leadership behaviors, which have a high impact on organizational energy. However, there is a weakness in the involvement of individuals in decision-making and the advertising side AL-Faris Company
{"title":"'The Role of Ambidextrous Leadership' Behaviors in Enhancing Organizational Energy': An Analytical Research General AL-Faris Company","authors":"Z. Mahmood","doi":"10.33095/jeas.v28i133.2348","DOIUrl":"https://doi.org/10.33095/jeas.v28i133.2348","url":null,"abstract":" The current research aims to identify the impact of ambidextrous leadership behaviors on organizational energy in Al-Faris Company. The descriptive analytical method was used as a research approach. Adept leadership includes two dimensions (open leadership behaviors and closed leadership behaviors), and organizational energy includes three dimensions (emotional energy, physical energy, and cognitive energy ). The research sample included all the administrative leaders (General Manager, Associate General manager, Department Manager, Division Official ) in AL-Faris Company / the Iraqi Ministry of Industry. The researcher distributed (74) valid questionnaires after retrieving (53) questionnaires, and the research relied on the statistical package (SPSS). The results indicated that there is a strong effect and a high correlation between the research variables. The most important dimensions of ambidextrous leadership behaviors are open leadership behaviors, which have a high impact on organizational energy. However, there is a weakness in the involvement of individuals in decision-making and the advertising side AL-Faris Company","PeriodicalId":53940,"journal":{"name":"Eskisehir Osmangazi Universitesi IIBF Dergisi-Eskisehir Osmangazi University Journal of Economics and Administrative Sciences","volume":"4 1","pages":""},"PeriodicalIF":0.5,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75778375","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-30DOI: 10.33095/jeas.v28i133.2361
Luay Adil Abduljabbar, Omar Qusay Alshebly
The last few years witnessed great and increasing use in the field of medical image analysis. These tools helped the Radiologists and Doctors to consult while making a particular diagnosis. In this study, we used the relationship between statistical measurements, computer vision, and medical images, along with a logistic regression model to extract breast cancer imaging features. These features were used to tell the difference between the shape of a mass (Fibroid vs. Fatty) by looking at the regions of interest (ROI) of the mass. The final fit of the logistic regression model showed that the most important variables that clearly affect breast cancer shape images are Skewness, Kurtosis, Center of mass, and Angle, with an AUCROC of 88% and an Accuracy of almost 89%. We also came to the conclusion that the Fibroid mass is small and less white than the Fatty mass
在过去的几年里，医学图像分析领域的应用越来越广泛。这些工具帮助放射科医生和医生在做出特定诊断时进行咨询。在这项研究中，我们利用统计测量、计算机视觉和医学图像之间的关系，以及逻辑回归模型来提取乳腺癌的影像学特征。这些特征通过观察肿块的感兴趣区域(ROI)来区分肿块的形状(肌瘤与脂肪)。logistic回归模型的最终拟合表明，明显影响乳腺癌形状图像的最重要变量是Skewness、Kurtosis、Center of mass和Angle，其AUCROC为88%，准确率接近89%。我们还得出结论，肌瘤肿块比脂肪肿块小，白色较少
{"title":"Distinguishing Shapes of Breast Cancer Masses in Ultrasound Images by Using Logistic Regression Model","authors":"Luay Adil Abduljabbar, Omar Qusay Alshebly","doi":"10.33095/jeas.v28i133.2361","DOIUrl":"https://doi.org/10.33095/jeas.v28i133.2361","url":null,"abstract":"The last few years witnessed great and increasing use in the field of medical image analysis. These tools helped the Radiologists and Doctors to consult while making a particular diagnosis. In this study, we used the relationship between statistical measurements, computer vision, and medical images, along with a logistic regression model to extract breast cancer imaging features. These features were used to tell the difference between the shape of a mass (Fibroid vs. Fatty) by looking at the regions of interest (ROI) of the mass. The final fit of the logistic regression model showed that the most important variables that clearly affect breast cancer shape images are Skewness, Kurtosis, Center of mass, and Angle, with an AUCROC of 88% and an Accuracy of almost 89%. We also came to the conclusion that the Fibroid mass is small and less white than the Fatty mass","PeriodicalId":53940,"journal":{"name":"Eskisehir Osmangazi Universitesi IIBF Dergisi-Eskisehir Osmangazi University Journal of Economics and Administrative Sciences","volume":"63 1 1","pages":""},"PeriodicalIF":0.5,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77912985","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-30DOI: 10.33095/jeas.v28i133.2349
Mostafa Abdul-Jabbar Dawod, Entsar Arebe Fadam
In this paper, the researcher suggested using the Genetic algorithm method to estimate the parameters of the Wiener degradation process, where it is based on the Wiener process in order to estimate the reliability of high-efficiency products, due to the difficulty of estimating the reliability of them using traditional techniques that depend only on the failure times of products. Monte Carlo simulation has been applied for the purpose of proving the efficiency of the proposed method in estimating parameters; it was compared with the method of the maximum likelihood estimation. The results were that the Genetic algorithm method is the best based on the AMSE comparison criterion, then the reliability was estimated by an inverse Gaussian distribution according to the characteristics of the Wiener process. It was also applied based on real data taken from an experiment intended to determine the degradation in the light intensity of lamps under specific experimental conditions
{"title":"Estimation of Reliability through the Wiener Degradation Process Based on the Genetic Algorithm to Estimating Parameters","authors":"Mostafa Abdul-Jabbar Dawod, Entsar Arebe Fadam","doi":"10.33095/jeas.v28i133.2349","DOIUrl":"https://doi.org/10.33095/jeas.v28i133.2349","url":null,"abstract":" In this paper, the researcher suggested using the Genetic algorithm method to estimate the parameters of the Wiener degradation process, where it is based on the Wiener process in order to estimate the reliability of high-efficiency products, due to the difficulty of estimating the reliability of them using traditional techniques that depend only on the failure times of products. Monte Carlo simulation has been applied for the purpose of proving the efficiency of the proposed method in estimating parameters; it was compared with the method of the maximum likelihood estimation. The results were that the Genetic algorithm method is the best based on the AMSE comparison criterion, then the reliability was estimated by an inverse Gaussian distribution according to the characteristics of the Wiener process. It was also applied based on real data taken from an experiment intended to determine the degradation in the light intensity of lamps under specific experimental conditions","PeriodicalId":53940,"journal":{"name":"Eskisehir Osmangazi Universitesi IIBF Dergisi-Eskisehir Osmangazi University Journal of Economics and Administrative Sciences","volume":"54 1-3 1","pages":""},"PeriodicalIF":0.5,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85453078","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-30DOI: 10.33095/jeas.v28i133.2351
Aws Adnan Al-Tai, Qutaiba N. Nayef Al-Kazaz
In this study, we made a comparison between LASSO & SCAD methods, which are two special methods for dealing with models in partial quantile regression. (Nadaraya & Watson Kernel) was used to estimate the non-parametric part ;in addition, the rule of thumb method was used to estimate the smoothing bandwidth (h). Penalty methods proved to be efficient in estimating the regression coefficients, but the SCAD method according to the mean squared error criterion (MSE) was the best after estimating the missing data using the mean imputation method
{"title":"Semi parametric Estimators for Quantile Model via LASSO and SCAD with Missing Data","authors":"Aws Adnan Al-Tai, Qutaiba N. Nayef Al-Kazaz","doi":"10.33095/jeas.v28i133.2351","DOIUrl":"https://doi.org/10.33095/jeas.v28i133.2351","url":null,"abstract":"In this study, we made a comparison between LASSO & SCAD methods, which are two special methods for dealing with models in partial quantile regression. (Nadaraya & Watson Kernel) was used to estimate the non-parametric part ;in addition, the rule of thumb method was used to estimate the smoothing bandwidth (h). Penalty methods proved to be efficient in estimating the regression coefficients, but the SCAD method according to the mean squared error criterion (MSE) was the best after estimating the missing data using the mean imputation method","PeriodicalId":53940,"journal":{"name":"Eskisehir Osmangazi Universitesi IIBF Dergisi-Eskisehir Osmangazi University Journal of Economics and Administrative Sciences","volume":"53 1","pages":""},"PeriodicalIF":0.5,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89448108","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-30DOI: 10.33095/jeas.v28i133.2405
Mustafa A. Hashim, Suhail N. Abood
In this research, we study the inverse Gompertz distribution (IG) and estimate the survival function of the distribution, and the survival function was evaluated using three methods (the Maximum likelihood, least squares, and percentiles estimators) and choosing the best method estimation, as it was found that the best method for estimating the survival function is the squares-least method because it has the lowest IMSE and for all sample sizes.
{"title":"Choosing the best method for estimating the survival function of inverse Gompertz distribution by using Integral mean squares error (IMSE)","authors":"Mustafa A. Hashim, Suhail N. Abood","doi":"10.33095/jeas.v28i133.2405","DOIUrl":"https://doi.org/10.33095/jeas.v28i133.2405","url":null,"abstract":"In this research, we study the inverse Gompertz distribution (IG) and estimate the survival function of the distribution, and the survival function was evaluated using three methods (the Maximum likelihood, least squares, and percentiles estimators) and choosing the best method estimation, as it was found that the best method for estimating the survival function is the squares-least method because it has the lowest IMSE and for all sample sizes. \u0000 ","PeriodicalId":53940,"journal":{"name":"Eskisehir Osmangazi Universitesi IIBF Dergisi-Eskisehir Osmangazi University Journal of Economics and Administrative Sciences","volume":"4 1","pages":""},"PeriodicalIF":0.5,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82371947","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-30DOI: 10.33095/jeas.v28i133.2363
Eman Jasem Mohammed, Salma Abdullah
The research aims to extrapolate the repercussions of the use of expert systems in the work of the external auditor on the quality of audit, as the research problem was that despite the use of these techniques in audit work, there is a problem related to the efficiency and effectiveness of these technological systems used in audit work, the feasibility of their use and the extent of their impact: The quality of the audit process. The researchers adopted the questionnaire as a tool for collecting study data from a community composed of auditors in auditing offices and companies in Iraq, and the auditors of the Iraqi Federal Financial Supervision Bureau. The number of recovered and valid questionnaires reached (100), or 76% of the total number of questionnaires distributed. The researchers concluded several results, the most important of which was that the auditor in auditing offices and companies in Iraq, in addition to the auditor of supervisory bodies, are aware of the positive effects of using expert systems in the work of the external auditor on the quality of audit work. The researchers also concluded many recommendations, the most important of which are: the need for the regulatory authorities, whether in the public sector represented by regulatory bodies, or audit offices and companies, to benefit from these modern technologies, the need for professionals and audit offices to invest in this modern technology, the need to integrate modern technologies related to the accounting profession And auditing the curricula of Iraqi universities, institutes, and colleges
{"title":"The Quality of Audit Work Under Expert System","authors":"Eman Jasem Mohammed, Salma Abdullah","doi":"10.33095/jeas.v28i133.2363","DOIUrl":"https://doi.org/10.33095/jeas.v28i133.2363","url":null,"abstract":"The research aims to extrapolate the repercussions of the use of expert systems in the work of the external auditor on the quality of audit, as the research problem was that despite the use of these techniques in audit work, there is a problem related to the efficiency and effectiveness of these technological systems used in audit work, the feasibility of their use and the extent of their impact: The quality of the audit process. \u0000The researchers adopted the questionnaire as a tool for collecting study data from a community composed of auditors in auditing offices and companies in Iraq, and the auditors of the Iraqi Federal Financial Supervision Bureau. The number of recovered and valid questionnaires reached (100), or 76% of the total number of questionnaires distributed. \u0000The researchers concluded several results, the most important of which was that the auditor in auditing offices and companies in Iraq, in addition to the auditor of supervisory bodies, are aware of the positive effects of using expert systems in the work of the external auditor on the quality of audit work. \u0000The researchers also concluded many recommendations, the most important of which are: the need for the regulatory authorities, whether in the public sector represented by regulatory bodies, or audit offices and companies, to benefit from these modern technologies, the need for professionals and audit offices to invest in this modern technology, the need to integrate modern technologies related to the accounting profession And auditing the curricula of Iraqi universities, institutes, and colleges","PeriodicalId":53940,"journal":{"name":"Eskisehir Osmangazi Universitesi IIBF Dergisi-Eskisehir Osmangazi University Journal of Economics and Administrative Sciences","volume":"11 1","pages":""},"PeriodicalIF":0.5,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73275922","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-30DOI: 10.33095/jeas.v28i133.2359
Ammar Muayad Saber, Rabab Abdulrida Saleh
Long memory analysis is one of the most active areas in econometrics and time series where various methods have been introduced to identify and estimate the long memory parameter in partially integrated time series. One of the most common models used to represent time series that have a long memory is the ARFIMA (Auto Regressive Fractional Integration Moving Average Model) which diffs are a fractional number called the fractional parameter. To analyze and determine the ARFIMA model, the fractal parameter must be estimated. There are many methods for fractional parameter estimation. In this research, the estimation methods were divided into indirect methods, where the Hurst parameter is estimated first, and then the fractional integration parameter is estimated from it by a relation between them. As for direct methods, the fractional integration parameter is estimated directly without relying on Hurst's parameter, and most of them are semi parametric methods. In this paper, some of the most common direct methods were used to estimate the fraction modulus namely (Geweke-Porter-Hudak, Smoothed Geweke-Porter-Hudak, Local Whittle, Wavelet and weighted wavelet), using simulation method with different value of (d) and different size of time series. The comparison between the methods was done using the mean squared error (MSE). It turns out that the best methods to estimate the fractional parameter is (Local Whittle). The ARFIMA model was generated by a function programmed by the MATLAB statistical program
{"title":"A Comparative Study for Estimate Fractional Parameter of ARFIMA Model","authors":"Ammar Muayad Saber, Rabab Abdulrida Saleh","doi":"10.33095/jeas.v28i133.2359","DOIUrl":"https://doi.org/10.33095/jeas.v28i133.2359","url":null,"abstract":" Long memory analysis is one of the most active areas in econometrics and time series where various methods have been introduced to identify and estimate the long memory parameter in partially integrated time series. One of the most common models used to represent time series that have a long memory is the ARFIMA (Auto Regressive Fractional Integration Moving Average Model) which diffs are a fractional number called the fractional parameter. To analyze and determine the ARFIMA model, the fractal parameter must be estimated. There are many methods for fractional parameter estimation. In this research, the estimation methods were divided into indirect methods, where the Hurst parameter is estimated first, and then the fractional integration parameter is estimated from it by a relation between them. As for direct methods, the fractional integration parameter is estimated directly without relying on Hurst's parameter, and most of them are semi parametric methods. In this paper, some of the most common direct methods were used to estimate the fraction modulus namely (Geweke-Porter-Hudak, Smoothed Geweke-Porter-Hudak, Local Whittle, Wavelet and weighted wavelet), using simulation method with different value of (d) and different size of time series. The comparison between the methods was done using the mean squared error (MSE). It turns out that the best methods to estimate the fractional parameter is (Local Whittle). \u0000 The ARFIMA model was generated by a function programmed by the MATLAB statistical program","PeriodicalId":53940,"journal":{"name":"Eskisehir Osmangazi Universitesi IIBF Dergisi-Eskisehir Osmangazi University Journal of Economics and Administrative Sciences","volume":"44 1","pages":""},"PeriodicalIF":0.5,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75092787","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-30DOI: 10.33095/jeas.v28i133.2360
M. A. Hashim, Suhail N. Abood
In this research , we study the inverse Gompertz distribution (IG) and estimate the survival function of the distribution , and the survival function was evaluated using three methods (the Maximum likelihood, least squares, and percentiles estimators) and choosing the best method estimation ,as it was found that the best method for estimating the survival function is the squares-least method because it has the lowest IMSE and for all sample sizes
{"title":"Choosing the best method for estimating the survival function of inverse Gompertz distribution by using Integral mean squares error (IMSE)","authors":"M. A. Hashim, Suhail N. Abood","doi":"10.33095/jeas.v28i133.2360","DOIUrl":"https://doi.org/10.33095/jeas.v28i133.2360","url":null,"abstract":"In this research , we study the inverse Gompertz distribution (IG) and estimate the survival function of the distribution , and the survival function was evaluated using three methods (the Maximum likelihood, least squares, and percentiles estimators) and choosing the best method estimation ,as it was found that the best method for estimating the survival function is the squares-least method because it has the lowest IMSE and for all sample sizes","PeriodicalId":53940,"journal":{"name":"Eskisehir Osmangazi Universitesi IIBF Dergisi-Eskisehir Osmangazi University Journal of Economics and Administrative Sciences","volume":"1 1","pages":""},"PeriodicalIF":0.5,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89196822","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-30DOI: 10.33095/jeas.v28i133.2362
Najat Saleem Yousif, Safaa Ahmad Mohamed
The research aims to verify the Role of Internal Auditing in Assessing the Risks of Strategic Operations (Acquisition) and then reflect on management decisions. Since all corporations wish to expand, growth and domination of the market may expose them to multiple risks that lead to failure. The research assumes two main hypotheses. First, there is no role for internal audit in evaluating the strategic operations (acquisition). Second, there is no relationship between internal auditing in assessing the risks of strategic operations (Acquisition) and management decisions. The data was collected by using a questionnaire distributed to a group of private bank employees. The statistical analysis regarding research rejected the two hypotheses and accepted the two alternative hypotheses, which stated that there is a role for internal audit in assessing the strategic operation’s risks (Acquisition) and that there is a significant relationship between internal auditing in assessing the risks of strategic operations (Acquisition) and management decisions. Among the most important conclusions reached is that an internal audit is so important in determining the risks regarding decision making for acquisition. The important recommendation is to activate the role of internal auditing regarding acquisition. The value of the research clarifies the role of internal auditing in assessing the risks of acquisition processes and encourages the adoption of the idea in the Iraqi environment. It’s considered as one of the recent research as it keeps pace with developments in the world
{"title":"The Role of Internal Audit in Assessing the Risks of Management Decisions regarding Strategic Operations )Acquisition)","authors":"Najat Saleem Yousif, Safaa Ahmad Mohamed","doi":"10.33095/jeas.v28i133.2362","DOIUrl":"https://doi.org/10.33095/jeas.v28i133.2362","url":null,"abstract":"The research aims to verify the Role of Internal Auditing in Assessing the Risks of Strategic Operations (Acquisition) and then reflect on management decisions. Since all corporations wish to expand, growth and domination of the market may expose them to multiple risks that lead to failure. The research assumes two main hypotheses. First, there is no role for internal audit in evaluating the strategic operations (acquisition). Second, there is no relationship between internal auditing in assessing the risks of strategic operations (Acquisition) and management decisions. The data was collected by using a questionnaire distributed to a group of private bank employees. The statistical analysis regarding research rejected the two hypotheses and accepted the two alternative hypotheses, which stated that there is a role for internal audit in assessing the strategic operation’s risks (Acquisition) and that there is a significant relationship between internal auditing in assessing the risks of strategic operations (Acquisition) and management decisions. Among the most important conclusions reached is that an internal audit is so important in determining the risks regarding decision making for acquisition. The important recommendation is to activate the role of internal auditing regarding acquisition. The value of the research clarifies the role of internal auditing in assessing the risks of acquisition processes and encourages the adoption of the idea in the Iraqi environment. It’s considered as one of the recent research as it keeps pace with developments in the world","PeriodicalId":53940,"journal":{"name":"Eskisehir Osmangazi Universitesi IIBF Dergisi-Eskisehir Osmangazi University Journal of Economics and Administrative Sciences","volume":"4 1","pages":""},"PeriodicalIF":0.5,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89275676","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-30DOI: 10.33095/jeas.v28i133.2364
Suaad Adnan Noaman Al-Shammari
The current research aims to shed light on the Global Reporting Initiative (GRI), which helps to report financial and non-financial information by economic units in general and listed on the Iraq Stock Exchange in particular. The research was based on a main premise that apply the criteria of the Global Reporting Initiative (GRI) would provide useful information to users to help them make appropriate decisions. To achieve the goal of the research, the descriptive analysis method was used, and quantitative analysis was used. At the level of the descriptive analysis method, a desk survey was conducted. As for the quantitative analysis, it relied on applied data through a questionnaire form (Questioners) as a research tool, and the Statistical Package for Social Sciences (spss) was used to analyze the research data and to reach the results. The research got a set of conclusions, the most important of which is that the accounting profession seeks to provide all information that is useful to users in the process of making appropriate decisions. Therefore the application of the Global Reporting Initiative would improve the quality of the information supplied to users as well as economic help units to Think about its strategy, manage risks, and provide a comprehensive picture of the performance of economic units Yeh. Based on the conclusions, a set of recommendations were presented, the most important of which was the need to prepare requirements and qualifications that help implement the Global Reporting Initiative by units to ensure the provision of information that is useful to users in the decision-making process. He urged economic units to submit reports through the application of the Global Reporting Initiative to improve the quality of information provided to users on the one hand and the possibility of improving the unit's performance on the other hand
{"title":"The role of GRI standards in reporting the dimensions of sustainable development - An applied study in a number of local companies on the Iraq Stock Exchange","authors":"Suaad Adnan Noaman Al-Shammari","doi":"10.33095/jeas.v28i133.2364","DOIUrl":"https://doi.org/10.33095/jeas.v28i133.2364","url":null,"abstract":"The current research aims to shed light on the Global Reporting Initiative (GRI), which helps to report financial and non-financial information by economic units in general and listed on the Iraq Stock Exchange in particular. The research was based on a main premise that apply the criteria of the Global Reporting Initiative (GRI) would provide useful information to users to help them make appropriate decisions. To achieve the goal of the research, the descriptive analysis method was used, and quantitative analysis was used. At the level of the descriptive analysis method, a desk survey was conducted. As for the quantitative analysis, it relied on applied data through a questionnaire form (Questioners) as a research tool, and the Statistical Package for Social Sciences (spss) was used to analyze the research data and to reach the results. The research got a set of conclusions, the most important of which is that the accounting profession seeks to provide all information that is useful to users in the process of making appropriate decisions. Therefore the application of the Global Reporting Initiative would improve the quality of the information supplied to users as well as economic help units to Think about its strategy, manage risks, and provide a comprehensive picture of the performance of economic units Yeh. Based on the conclusions, a set of recommendations were presented, the most important of which was the need to prepare requirements and qualifications that help implement the Global Reporting Initiative by units to ensure the provision of information that is useful to users in the decision-making process. He urged economic units to submit reports through the application of the Global Reporting Initiative to improve the quality of information provided to users on the one hand and the possibility of improving the unit's performance on the other hand","PeriodicalId":53940,"journal":{"name":"Eskisehir Osmangazi Universitesi IIBF Dergisi-Eskisehir Osmangazi University Journal of Economics and Administrative Sciences","volume":"8 1","pages":""},"PeriodicalIF":0.5,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78087503","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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