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دور تقنية التكلفة المستهدفة ونظام التكاليف على اساس الانشطة الموجه بالوقت في تخفيض التكاليف بحث تطبيقي في الشركة العامة للصناعات الجلدية
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تواجه الوحدات الاقتصادية في العراق منافسة قوية بسبب مشكلات خاصة بإرتفاع الاسعار وارتفاع تكاليف الانتاج وضعف الاهتمام بدراسة السوق وغيرها من المشاكل ، فضلاً عن استخدام نظام التكاليف التقليدي الذي لا يوفر معلومات ملائمة لقرارات التسعير الامر الذي يتطلب دراسة وتحليل تلك المشكلات ومعالجتها بالاعتماد على تقنيات حديثة بما يمكنها من المنافسة ولهذا جاء هذا البحث والذي يعتبر من المداخل الحديثة لتخفيض التكاليف ومن ثم زيادة القدرة والاستمرارية على المنافسة في السوق . حيث تمثلت مشكلة البحث في التعرف على اوجه القصور في استخدام النظام التقليدي المتبع في الشركة عينة البحث مما ادى الى ضعف التحكم في التكاليف ، ويهدف البحث الى بيان المرتكزات الاساسية والمعرفية لتقنية التكلفة المستهدفة ونظام التكاليف على اساس الانشطة الموجه بالوقت مع بيان دورهما في تخفيض التكاليف ، واستند البحث الى فرضية مفادها ( تسهم تقنية التكلفة المستهدفة ونظام التكلفة على اساس الانشطة الموجه بالوقت في تخفيض التكاليف ) ، وان ابرز ما توصل اليه البحث ان اعتماد نظام التكاليف على اساس الانشطة الموجه بالوقت يؤدي الى توزيع اكثر عدالة للتكاليف الصناعية غير المباشرة من خلال تحديد تكاليف الانشطة وتوزيع تكاليف هذه الانشطة بشكل اكثر عدالة وتنظيمها على الانشطة بالشكل الذي يؤدي الى تخفيض التكاليف ويقلل الهدر بالموارد فضلاً عن ضرورة تبني الشركات الصناعية العراقية للانظمة التي تنظم توزيع التكاليف على الانشطة بما يحقق الدقة في تحديد تكلفة الوحدة الواحدة ، وبالتالي مساعدة الادارة على التخطيط والرقابة واتخاذ القرارات . وتوصي الباحثتان بضرورة استخدام وتطبيق تقنية التكلفة المستهدفة ونظام التكاليف على اساس الانشطة الموجه بالوقت في الشركة عينة البحث وضرورة تدريب العاملين في الشركة واعداد الدورات التدريبية وضرورة معالجة المعوقات التي تحول دون وجود نظام تكاليف فعال .

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Publication Date
Fri Oct 19 2018
Journal Name
Journal Of Economics And Administrative Sciences
The impact of social capital in enhancing the psychological empowerment of workers Applied research in the Directorate of the Municipality of Samawah
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Publication Date
Sat Jun 01 2019
Journal Name
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Publication Date
Fri Sep 30 2022
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Thu Jan 23 2020
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Thu Jun 30 2022
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The Use of the Regression Tree and the Support Vector Machine in the Classification of the Iraqi Stock Exchange for the Period 2019-2020
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