The role of unobserved units in two-stage network data envelopment analysis

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Entrusting decisions to the public service pension fund: An integrated predictive model with additive network DEA approach

Sheng-Wei Lin et al.

Summary: This study employs the additive network DEA approach to measure efficiency scores of 34 ITCs and proposes a method to effectively forecast future efficiency scores using trend analysis technique. The mechanism helps improve decision-making processes and offers a more feasible method for selecting ITCs.

JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY (2021)

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Serial network DEA models with a single intermediate measure

Weiwei Zhu et al.

Summary: In conventional two-stage network DEA models with one intermediate output, divisional efficiencies in non-cooperative and centralized models are equivalent to standard CRS efficiencies in each stage. This result also applies to general network structures with more than two stages and only one intermediate measure linking components.

JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY (2021)

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Article Operations Research & Management Science

Shared and unsplittable performance links in network DEA

Yu Shi et al.

Summary: Data envelopment analysis (DEA) is a widely used non-parametric technique for performance evaluation and data analytics. The network DEA model investigates the internal structure of DMUs by considering shared and unsplittable links, presenting a new type of intermediate measure.

ANNALS OF OPERATIONS RESEARCH (2021)

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Production scale-based two-stage network data envelopment analysis

Junfei Chu et al.

Summary: A new network data envelopment analysis (DEA) approach for two-stage network systems is developed in this study, considering the match between production scales and intermediate measures. It introduces explicit production axioms and utilizes a frontier projection procedure to build new models. Unlike existing approaches, the new approach uses radial projection technique for intermediate measures and allows weight flexibility in resulting multiplier network DEA models, while maintaining total value flow equivalence between a unit's two stages.

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2021)

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