A procedure for ranking efficient units in data envelopment analysis
Management Science
Ranking players in multiple tournaments
Computers and Operations Research
Combining ranking scales and selecting variables in the Dea context: the case of industrial branches
Computers and Operations Research
A Complete Efficiency Ranking of Decision Making Units in Data Envelopment Analysis
Computational Optimization and Applications
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
A quantitative model to evaluate post-implementation efficiency of Scrum
Proceedings of the 2010 conference on New Trends in Software Methodologies, Tools and Techniques: Proceedings of the 9th SoMeT_10
Identifying new business areas using patent information: A DEA and text mining approach
Expert Systems with Applications: An International Journal
A fuzzy DEA and knapsack formulation integrated model for project selection
Computers and Operations Research
An approach for the two-group discriminant analysis: An application of DEA
Mathematical and Computer Modelling: An International Journal
Computers and Industrial Engineering
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Large organizations continually struggle with problems related to allocating their development dollars to various competing projects. Project prioritization is at the heart of these issues because there are always more demand than money available, so choosing the right projects is important. This situation is further aggravated by the omni-present political environment where some managers get their projects done because they have the political power to get them on the agenda. This paper presents a new model within the data envelopment analysis framework for prioritizing information system (IS) projects. The criteria used to judge the importance of projects are the inputs and outputs of the model. A set of sample/artificial projects is created for which the criteria and priority score are defined by decision makers. Each real project is compared to the set of defined projects and receives a score. The new model is tested on a real case of prioritizing IS projects at a large financial institution. The proposed model provides fair and equitable ranking, it is complex enough to model the problem reasonably and accurately and yet simple enough to be understood by the user community. More importantly, a new project can be prioritized at any time without affecting the priority of already assessed projects.