Efficiency, RTS, and marginal returns from salary on the performance of the NBA players: a parallel DEA network with shared inputs
DOI10.3934/jimo.2021053zbMath1499.90042OpenAlexW3139009007MaRDI QIDQ2673409
Faisal Asghar, Saeed Assani, Muhammad Mansoor, Feng Yang, Yong-Jun Li
Publication date: 9 June 2022
Published in: Journal of Industrial and Management Optimization (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.3934/jimo.2021053
data envelopment analysis (DEA)parallel processesreturns to scale (RTS)marginal returnsNBA gamessalary
Applications of mathematical programming (90C90) Linear programming (90C05) Production models (90B30) Special problems of linear programming (transportation, multi-index, data envelopment analysis, etc.) (90C08) Deterministic network models in operations research (90B10)
Cites Work
- Measuring the efficiency of decision making units
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- A network DEA assessment of team efficiency in the NBA
- Scale efficiency of China's regional R\&D value chain: a double frontier network DEA approach
- Network data envelopment analysis with fuzzy non-discretionary factors
- Efficiency decomposition for general multi-stage systems in data envelopment analysis
- Selecting non-zero weights to evaluate effectiveness of basketball players with DEA
- Evaluating NBA player performance using bounded integer data envelopment analysis
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