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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
Mon Jan 01 2024
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A multivariate Bayesian model using Gibbs sampler with real data application
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In many scientific fields, Bayesian models are commonly used in recent research. This research presents a new Bayesian model for estimating parameters and forecasting using the Gibbs sampler algorithm. Posterior distributions are generated using the inverse gamma distribution and the multivariate normal distribution as prior distributions. The new method was used to investigate and summaries Bayesian statistics' posterior distribution. The theory and derivation of the posterior distribution are explained in detail in this paper. The proposed approach is applied to three simulation datasets of 100, 300, and 500 sample sizes. Also, the procedure was extended to the real dataset called the rock intensity dataset. The actual dataset is collecte

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Tue Dec 01 2015
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Calibration and verification of the hydraulic model for Blue Nile river from Roseires dam to Khartoum city
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