An Improved Performance Measurement Approach for Knowledge-Based Companies Using Kalman Filter Forecasting Method
المؤلفون المشاركون
Hasanzadeh, Mohammad Reza
Shirani, Behrooz Arbab
Raissi Ardali, Gholam Ali
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2016)، ص ص. 1-15، 15ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2016-09-15
دولة النشر
مصر
عدد الصفحات
15
التخصصات الرئيسية
الملخص EN
Performance measurement and forecasting are crucial for effective management of innovative projects in emerging knowledge-based companies.
This study proposes an integrated performance assessment and forecasting model based on a combination of earned schedule methodology and the learning curve theory under risk condition.
The operational performance is measured in terms of time and cost at completion indicators.
As a novelty, the learning effects and Kalman filter forecasting method are employed to accurately estimate the future performance of the company.
Furthermore, in order to predict the cost performance accurately, a logistic growth model is utilized.
The validity of this integrated performance measurement model is demonstrated based on a case study.
The computational results confirmed that the developed performance measurement framework provides, on average, more accurate forecast in terms of mean and standard deviation of the forecasting error for the future performance as against the traditional deterministic performance measurement methods.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Hasanzadeh, Mohammad Reza& Shirani, Behrooz Arbab& Raissi Ardali, Gholam Ali. 2016. An Improved Performance Measurement Approach for Knowledge-Based Companies Using Kalman Filter Forecasting Method. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-15.
https://search.emarefa.net/detail/BIM-1112230
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Hasanzadeh, Mohammad Reza…[et al.]. An Improved Performance Measurement Approach for Knowledge-Based Companies Using Kalman Filter Forecasting Method. Mathematical Problems in Engineering No. 2016 (2016), pp.1-15.
https://search.emarefa.net/detail/BIM-1112230
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Hasanzadeh, Mohammad Reza& Shirani, Behrooz Arbab& Raissi Ardali, Gholam Ali. An Improved Performance Measurement Approach for Knowledge-Based Companies Using Kalman Filter Forecasting Method. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-15.
https://search.emarefa.net/detail/BIM-1112230
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1112230
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر