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Nannan Liang
Researcher at University of Science and Technology of China
Publications - 9
Citations - 253
Nannan Liang is an academic researcher from University of Science and Technology of China. The author has contributed to research in topics: Computer science & China. The author has an hindex of 4, co-authored 5 publications receiving 198 citations.
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Efficiency evaluation of banks in China: A dynamic two-stage slacks-based measure approach
TL;DR: Li et al. as mentioned in this paper proposed a dynamic two-stage slacks-based measure model to evaluate the efficiencies of Chinese banks, where non-performing loans can be treated as a carry-over variable, an undesirable output of the profitability stage in the previous period but an input to the profitability stages in the current period.
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Efficiency evaluation of Chinese regional industrial systems with undesirable factors using a two-stage slacks-based measure approach
Yiwen Bian,Nannan Liang,Hao Xu +2 more
TL;DR: Wang et al. as mentioned in this paper proposed a two-stage model based on slacks-based measure to evaluate the efficiency of Chinese regional industrial systems, which can estimate the efficiencies of the whole regional industrial system, its production stage and abatement stage simultaneously.
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Data envelopment analysis for unified efficiency evaluation: an assessment of regional industries in China
TL;DR: Wang et al. as discussed by the authors proposed an improved approach that considers unified (operational and environmental) efficiency for managerial disposability, and compared this approach with the one for natural disposability.
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Utility-based two-stage models with fairness concern
TL;DR: In this article, the impact of social comparison and fairness concerns on the efficiency of a two-stage process is studied, and the authors characterize the concern of fairness as advantageous and disadvantageous inequity based on equitable outcome comparison.
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Performance Evaluation of Individuals in Workgroups with Shared Outcomes Using DEA
TL;DR: Several models to credit portions of the shared workgroup outcomes to the individuals based upon outcome linkage where the outcome of one employee’s task is influenced by that of another, and priority information are proposed.