Data Envelopment Analysis of Firm Strategic Efficiency
Data Envelopment Analysis (DEA) of firm strategic efficiency benchmarks each firm or strategic business unit against a best-practice frontier built directly from the data, with no need to assume prices, weights, or a functional form. Introduced by Charnes, Cooper and Rhodes in 1978 under constant returns to scale (the CCR model) and extended by Banker, Charnes and Cooper in 1984 to variable returns (the BCC model), DEA uses linear programming to envelop the observed firms with a piecewise-linear frontier and scores each one by its radial distance from it. In strategic management it answers a sharply practical question: given the resources a firm consumes, how much more output could it produce if it operated like the best comparable firms, and which efficient peers should it emulate.
阅读完整方法
使用免费账户登录即可阅读本节。
方法图谱
相关方法的邻域——选择一个节点以展开探索。
来源
- Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), 429-444. DOI: 10.1016/0377-2217(78)90138-8 ↗
- Banker, R. D., Charnes, A., & Cooper, W. W. (1984). Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management Science, 30(9), 1078-1092. DOI: 10.1287/mnsc.30.9.1078 ↗
如何引用本页
ScholarGate. (2026, June 23). Data Envelopment Analysis of Firm Strategic Efficiency (CCR/BCC Frontier Benchmarking). ScholarGate. https://scholargate.app/zh/strategic-management/dea-firm-efficiency
选用哪种方法?
将本方法与其最相近的同类并置,并排研读——本馆将书籍铺陈于案上,取舍则由您定夺。
- Malmquist Firm Productivity Index战略管理↔ 比较
- Stochastic Frontier Firm Efficiency Analysis战略管理↔ 比较
- Tobin's Q Firm Value Analysis战略管理↔ 比较