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أنموذج مقترح لتقييم أداء العاملين " دراسة تطبيقية في ديوان الرقابة المالية الاتحادي"
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المستخلص

يعد تقييم اداء العاملين احد اهم الركائز الاساسية التي يتوقف عليها نجاح أي منظمة تسعى بأن تتطور وتتميز بأنشطتها واداءها وبالأخص المنظمات التي لها خصوصية في عملها كالأجهزة الرقابية التي تعتمد في اداء انشطتها ومسؤولياتها على كفاءة مواردها البشرية, ومن هذا المنطلق يهدف هذا البحث الى تصميم انموذج ثلاثي المحاور (المؤهلات والقدرات، الاداء والانجاز، التعاون والالتزام الوظيفي) ثُماني المستويات لتقييم اداء العاملين في ديوان الرقابة المالية الاتحادي, يتجاوز الانتقادات الموجهة للأساليب المعتمدة في التقييم باعتماد اسلوب متخصص يمتاز بالموضوعية والوضوح والشمولية يمكن تطبيقه، بما يؤدي الى تحقيق نتائج متميزة للارتقاء بمستوى اداء العاملين في ديوان الرقابة المالية. وقد تم تطبيق الانموذج المقترح على عينة من العاملين والبالغ عددها (121) فرداً في ديوان الرقابة المالية الاتحادي مجتمع عينة البحث والتي تضمنت العناوين والمستويات الرقابية (معاون رئيس هيئة ، رقيب مالي اقدم، رقيب مالي, معاون رقيب مالي, قانوني, معاون قانوني). وتوصل البحث الى مجموعة من الاستنتاجات اهمها وجود صدق وثبات عال للانموذج المقترح لتقييم اداء العاملين وقبول محاوره الرئيسية (المؤهلات والقدرات, والاداء والانجاز, والتعاون والالتزام الوظيفي), كما اثبتت نتائج البحث والتحليل الخاصة بالأنموذج المقترح على انه يسهم في تحديد واعطاء نتائج واقعية وفعلية وبشكل واضح عن مستوى اداء العاملين وفق ما يشكله من محاور رئيسة يمكن التعامل معها بشكل اسهل من حيث ما يتطلبه الاداء من تعزيز او معالجة. اما التوصيات التي جاء بها البحث كان من أهمها اعتماد الانموذج المقترح من قبل ديوان الرقابة المالية الاتحادي لتقييم أداء العاملين كونه انموذج متخصص للعمل الرقابي, وكذلك الاهتمام بالخطة التدريبية للتأهيل والتطوير بحسب ما تتطلبه الحاجة وما تفرضه مستويات اداء العاملين وذلك لتنمية مهارات وكفاءة العاملين ورفع مستوى أدائهم.

 

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Publication Date
Fri Dec 01 2017
Journal Name
Journal Of Economics And Administrative Sciences
Comparing the Sequential Nonlinear least squared Method and Sequential robust M method to estimate the parameters of Two Dimensional sinusoidal signal model:
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Estimation of the unknown parameters in 2-D sinusoidal signal model can be considered as important and difficult problem. Due to the difficulty to find estimate of all the parameters of this type of models at the same time, we propose sequential non-liner least squares method and sequential robust  M method after their development through the use of sequential  approach in the estimate suggested by Prasad et al to estimate unknown frequencies and amplitudes for the 2-D sinusoidal compounds but depending on Downhill Simplex Algorithm in solving non-linear equations for the purpose of obtaining non-linear parameters estimation which represents frequencies and then use of least squares formula to estimate

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Publication Date
Mon Oct 01 2018
Journal Name
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Water Quality Assessment and Total Dissolved Solids Prediction using Artificial Neural Network in Al-Hawizeh Marsh South of Iraq
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The Iraqi marshes are considered the most extensive wetland ecosystem in the Middle East and are located in the middle and lower basin of the Tigris and Euphrates Rivers which create a wetlands network and comprise some shallow freshwater lakes that seasonally swamped floodplains. Al-Hawizeh marsh is a major marsh located east of Tigris River south of Iraq. This study aims to assess water quality through water quality index (WQI) and predict Total Dissolved Solids (TDS) concentrations in Al-Hawizeh marsh based on artificial neural network (ANN). Results showed that the WQI was more than 300 for years 2013 and 2014 (Water is unsuitable for drinking) and decreased within the range 200-300 in years 2015 and 2016 (Very poor water). The develope

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Publication Date
Thu Jul 11 2024
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Publication Date
Wed Mar 16 2022
Journal Name
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Analyzing and Measuring the Relationship between Public Spending and the Parallel Exchange Rate in the Iraqi Economy for the Period 2004-2022
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Publication Date
Mon Jun 01 2020
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Publication Date
Sun Jan 02 2022
Journal Name
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Publication Date
Fri Mar 01 2013
Journal Name
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Improving the Effectiveness of Internal Control System In Accordance with COSO Model
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Mon Mar 29 2021
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Publication Date
Sat Sep 30 2023
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Knowing the distribution of the mechanical rock properties and the far field stresses for the field of interest is an important task for many applications concerning reservoir geomechanics, including wellbore instability analysis, hydraulic fracturing, sand production, reservoir compaction, and subsidence. A major challenge with determining the rock's mechanical properties is that they cannot be directly measured at the borehole. Furthermore, the recovered carbonate core samples for performing measurements are limited and they provide discrete data for specific depths.

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