V
Victor V. Podinovski
Researcher at Loughborough University
Publications - 62
Citations - 3658
Victor V. Podinovski is an academic researcher from Loughborough University. The author has contributed to research in topics: Data envelopment analysis & Returns to scale. The author has an hindex of 28, co-authored 57 publications receiving 3177 citations. Previous affiliations of Victor V. Podinovski include University of Warwick.
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Pitfalls and protocols in DEA
Robert G. Dyson,Rachel Allen,Ana S. Camanho,Victor V. Podinovski,Cláudia S. Sarrico,Estelle A. Shale +5 more
TL;DR: The purpose of this paper is to highlight some of the pitfalls that have been identified in application papers under each of these headings and to suggest protocols to avoid the pitfalls and guide the application of the methodology.
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Weak Disposability in Nonparametric Production Analysis: Reply to Färe and Grosskopf
TL;DR: In this article, the authors show that a single abatement factor does not capture all feasible production plans, and that its use leads to the violation of convexity, one of the maintained assumptions of the model.
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Production trade-offs and weight restrictions in data envelopment analysis
TL;DR: ‘technology thinking’ could be used instead of ‘value thinking” in the construction of weight restrictions, which offers real practical advantages in the models under constant and variable returns-to-scale assumptions.
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Modelling weak disposability in data envelopment analysis under relaxed convexity assumptions
TL;DR: The assumption of full convexity is relaxed and a correct model that is based on the assumed axioms is developed, which leads to the development of a weakly disposable analogue of the free disposable hull.
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Dominance and potential optimality in multiple criteria decision analysis with imprecise information
TL;DR: In this paper, a weighted sum of criteria is used to evaluate the performance of alternatives, where information about the weights is assumed to be in the form of arbitrary linear constraints and conditions for checking dominance and potential optimality of decision alternatives are presented.