Predicting information technology project escalation: A neural network approach

DOI10.1016/S0377-2217(02)00294-1zbMath1011.90519MaRDI QIDQ1869516

Joan Mann, Arun Rai, Guoqiang Peter Zhang, Mark J. Keil

Publication date: 10 April 2003

Published in: European Journal of Operational Research (Search for Journal in Brave)

zbMATH Keywords

neural networksproject managementregressionvariable selectionlogisticIT project escalation

Mathematics Subject Classification ID

Management decision making, including multiple objectives (90B50) Transportation, logistics and supply chain management (90B06) Neural networks for/in biological studies, artificial life and related topics (92B20)

Related Items (1)

An alternative efficient representation for the project portfolio selection problem

Cites Work

• Neural networks and logistic regression: Part I
• Choosing Between Logistic Regression and Discriminant Analysis
• A GRG2-Based System for Training Neural Networks: Design and Computational Experience

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