DEA models for two‐stage processes: Game approach and efficiency decomposition

By Liang Liang, Wade D. Cook, Joe Zhu. 2008

564 citations recorded by the source corpus.

Subfields: Management Information Systems, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/913f06098937850547a8b09f0b423f979d727cfc

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In Management Information Systems

In Management Science and Operations Research

Citations in the corpus

Measuring performance of two-stage network structures by DEA: A review and future perspective (2010, methodology): “Liang et al.[6] provide detailed models for the two-stage process using the same modeling principle as in Liang et al.”
Composition versus decomposition in two-stage network DEA: a reverse approach (2016, background): “As noticed in Liang et al. (2008), it is reasonable to define the overall efficiency of the two-stage process as the average (arithmetic mean) of the efficiencies of the two individual stages.”
Data envelopment analysis 1978-2010: A citation-based literature survey (2013, unknown): “[82] propose a game-theoretic approach.”
A network DEA quantity and quality-orientated production model: An application to Australian university research services (2016, methodology): “We employ the centralized NDEA model in [51] because it satisfies the flow process form of Fig.”
Two-stage DEA models with undesirable input-intermediate-outputs $ (2015, methodology): “constructed the centralized model and leader-follower model from the perspective of game theory, in which the system efficiency is decomposed into the product of the subsystem efficiencies, and they also proposed a relatively fair scheme of sub-efficiency decomposition [4].”
A new two-stage Stackelberg fuzzy data envelopment analysis model (2014, methodology): “Otherwise, an alternative decomposition of e(1)j and e 2 j can be achieved [45].”
Network data envelopment analysis: A review (2014, background): “Liang, Cook, and Zhu (2008) proposed non-cooperative and centralized models to measure the efficiencies of the two processes.”