Measuring performance of two-stage network structures by DEA: A review and future perspective

By Wade D. Cook, Liang Liang, Joe Zhu. 2010

537 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/ba72e36fd5d98929804aa9c14adf80c16bf03964

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Citations in the corpus

A new two-stage Stackelberg fuzzy data envelopment analysis model (2014, methodology): “The outputs of the first sub-DMU, known as ‘‘intermediate measures’’, are considered as the inputs of the second sub-DMU and no extra inputs are supplied for the second sub-DMU except for the outputs of the first sub-DMU [19,55].”
Network data envelopment analysis: A review (2014, background): “Cook, Liang, and Zhu (2010) reviewed a number of models for the basic two-stage system, in which the system has only two processes connected in series, and the second only consumes all the outputs from the first for production.”
Two-stage DEA models with undesirable input-intermediate-outputs $ (2015, result): “proved that the centralized model and relational model are equivalent to the frontier model [6].”
Trajectories of efficiency measurement: A bibliometric analysis of DEA and SFA (2015, background): “A more detailed literature survey of this area is stated by Cook and Seiford (2009), Cook et al. (2010) and Castelli et al. (2010).”
R&D, productivity, and market value: An empirical study from high-technology firms (2013, methodology): “Under the original two-stage framework, the efficiency and effectiveness are separately calculated for each stage of the DEA (linear programming problem) implementation, including [45,47–55].”
Data envelopment analysis 1978-2010: A citation-based literature survey (2013, unknown): “[93], and Casstelli et al.”
Dynamic DEA with network structure: A slacks-based measure approach (2013, unknown): “[7], Li et al.”