Journal
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
Volume 19, Issue 5, Pages 535-543Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.engappai.2005.12.002
Keywords
defense development projects; managerial success factors; neural networks
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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. (c) 2006 Elsevier Ltd. All rights reserved.
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