Data Envelopment Analysis: Theory, Methodology and Application
Data Envelopment Analysis: Theory, Methodology and Application
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Several companies have been searching for improving their processes aiming at a better performance. In this context, Information Technology investments have shown to be essential in this search for efficiency. The main objective of this work is to show the results obtained by two weight restrictions methods applied to the DEA model, which intends to guide the decision making of investments in Information Technology (IT) in four main concepts: "Equipment", "Training", "Data Storage Capacity" and "Human Resources". The concerned methods are relaxed artificial DMUs and adapted Contingent Weight Restrictions methods. They are compared with classical DEA models.