کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
381630 | 1437512 | 2006 | 9 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Critical managerial factors affecting defense projects success: A comparison between neural network and regression analysis
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
A comparison between neural networks and linear regression analysis is used for identifying critical managerial factors affecting the success of high-tech defense projects. The study shows that neural networks have better explanatory and prediction power, and it enables the exploration of relationships among the data that are difficult to arrive at by traditional statistical methods.The study yielded some new results: The chances to success of a project that was acknowledged by its prospected customers as essential for improving their performance are much higher than other projects. Furthermore, organizational learning and social cohesion of the development team are of extreme importance for success.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Engineering Applications of Artificial Intelligence - Volume 19, Issue 5, August 2006, Pages 535–543
Journal: Engineering Applications of Artificial Intelligence - Volume 19, Issue 5, August 2006, Pages 535–543
نویسندگان
Dov Dvir, Arie Ben-David, Arik Sadeh, Aaron J. Shenhar,