Peter Wanke
Federal University of Rio de Janeiro
252 Papers
803 Citations
Peter Wanke is an academic researcher from Federal University of Rio de Janeiro. The author has contributed to research in topics: Data envelopment analysis & Computer science. The author has an hindex of 32, co-authored 208 publications. Previous affiliations of Peter Wanke include Technische Universität Darmstadt & Escola Brasileira de Administração Pública e de Empresas.
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Papers
Two-stage DEA: An application to major Brazilian banks
TL;DR: Results indicate that Brazilian banks are heterogeneous, with some focusing on cost efficiency and others on productive efficiency, while cost efficiency is explained by M&A and size, while productive efficiency is explaining by M &A and public status.
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Energy efficiency of selected OECD countries : a slacks based model with undesirable outputs
TL;DR: In this article, an efficiency assessment of selected OECD countries using a Slacks Based Model with undesirable or bad outputs (SBM-Undesirable) is presented, which reveals different impacts of contextual variables, such as economic blocks and capital-labor ratio, on energy efficiency levels.
176
An analysis of African airlines efficiency with two-stage TOPSIS and neural networks
TL;DR: In this paper, the authors present an efficiency assessment of African airlines, using the TOPSIS - Technique for Order Preference by Similarity to the Ideal Solution, a multi-criteria decision-making technique, which similar to DEA (Data Envelopment Analysis), ranks a finite set of units based on the minimisation of distance from an ideal point, and the maximisation of distances from an anti-ideal point.
142
Strategic logistics decision making
Peter Wanke,Walter Zinn +1 more
TL;DR: In this paper, the authors explored the relationships between three strategic level decisions and selected product, operational and demand variables, and found that the three strategic decisions are each explained by specific product and operational variables.
104
Predicting efficiency in Islamic banks: An integrated multicriteria decision making (MCDM) approach
TL;DR: In this paper, the authors presented an efficiency assessment of 114 Islamic banks from 24 countries using the Technique for Order Preference by Similarity to the Ideal Solution (TOPSIS), a multicriteria decision making technique similar to Data Envelopment Analysis (DEA), which ranks a finite set of units based on the minimization of distance from an ideal point and the maximization of distances from an anti-ideal point.
98