P
Peter Wanke
Researcher at Federal University of Rio de Janeiro
Publications - 250
Citations - 4346
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 receiving 3186 citations. Previous affiliations of Peter Wanke include Technische Universität Darmstadt & Escola Brasileira de Administração Pública e de Empresas.
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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.
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Assessing productive efficiency of banks using integrated Fuzzy-DEA and bootstrapping:a case of Mozambican banks
TL;DR: New Fuzzy-DEA α-level models to assess underlying uncertainty are proposed and price of labor, price of capital, and market-share were found to be the significant factors in measuring bank efficiency.
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Job satisfaction and intention to quit: an empirical analysis of nurses in Turkey
Abdul Kadar Muhammad Masum,Md. Abul Kalam Azad,Kazi Enamul Hoque,LooSee Beh,Peter Wanke,Özgün Arslan +5 more
TL;DR: A negative relationship between job satisfaction and intention to quit the existing employment of nurses in Turkey was revealed and satisfaction with supervisor support was the only facet that significantly explained turnover intent when controlling for gender, age, marital status, education, and experience.
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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.