Uncertainty, risk, and the efficiencies of the principal and the agent: a chance constrained data envelopment analysis approach
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Publication:1721524
DOI10.1155/2018/8373614zbMath1427.90188OpenAlexW2897002973WikidataQ129057793 ScholiaQ129057793MaRDI QIDQ1721524
Liang Liang, Yong Zha, Linlin Zhao
Publication date: 8 February 2019
Published in: Mathematical Problems in Engineering (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2018/8373614
Management decision making, including multiple objectives (90B50) Special problems of linear programming (transportation, multi-index, data envelopment analysis, etc.) (90C08)
Cites Work
- Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis
- Measuring regional efficiency of energy and carbon dioxide emissions in China: a chance constrained DEA approach
- Satisficing DEA models under chance constraints
- A Dynamic Principal-Agent Model with Hidden Information: Sequential Optimality Through Truthful State Revelation
- DEA models for two-stage processes: Game approach and efficiency decomposition
- Aggregation and Linearity in the Provision of Intertemporal Incentives
- Managing with Style: The Effect of Managers on Firm Policies
- Chance constrained programming approaches to technical efficiencies and inefficiencies in stochastic data envelopment analysis
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