activity
20162026
most citedPerformance evaluation through DEA benchmarking adjusted to goals

80 citations · 260 across the 7 of their papers we have counts for

collaborators

8 papers

stat.ME2026

Piece-wise linear isotonic regression

Timo Kuosmanen, Juan F. Monge, José L. Ruiz +1

Isotonic regression provides a flexible, tuning-free approach to estimating monotonic functions without imposing global curvature constraints, yet the estimated regression function…

math.OC2020

Benchmarking within a DEA framework: setting the closest targets and identifying peer groups with the most similar performances

José L. Ruiz, Inmaculada Sirvent

Data Envelopment Analysis (DEA) is widely used as a benchmarking tool for improving performance of organizations. For that purpose, DEA analyses provide information on both target…

math.OC2019

Cross-benchmarking for performance evaluation: looking across best practices of different peer groups using DEA

Nuria Ramón, José L. Ruiz, Inmaculada Sirvent

In benchmarking, organizations look outward to examine others' performance in their industry or sector. Often, they can learn from the best practices of some of them and improve. I…

math.OC2018★ 80 cited

Performance evaluation through DEA benchmarking adjusted to goals

José L. Ruiz, Inmaculada Sirvent

Data Envelopment Analysis (DEA) is extended to the evaluation of performance of organizations within the framework of the implementation of plans for improvements that set manageme…

math.OC2018★ 73 cited

DEA-based benchmarking for performance evaluation in pay-for-performance incentive plans

Wade D. Cook, Nuria Ramón, José L. Ruiz +2

Incentive plans involve payments for performance relative to some set of goals. In this paper, we extend Data Envelopment Analysis (DEA) to the evaluation of performance in the spe…

math.OC2017★ 60 cited

Two-step benchmarking: Setting more realistically achievable targets in DEA

Nuria Ramón, José L. Ruiz, Inmaculada Sirvent

The models that set the closest targets have made an important contribution to DEA as tool for the best-practice benchmarking of decision making units (DMUs). These models may help…

math.OC2016★ 27 cited

Robust DEA efficiency scores: A probabilistic/combinatorial approach

Mercedes Landete, Juan F. Monge, José L. Ruiz

In this paper we propose robust efficiency scores for the scenario in which the specification of the inputs/outputs to be included in the DEA model is modelled with a probability d…

q-fin.PM2016★ 20 cited

Sharpe portfolio using a cross-efficiency evaluation

Juan F. Monge, Mercedes Landete, José L. Ruiz

The Sharpe ratio is a way to compare the excess returns (over the risk free asset) of portfolios for each unit of volatility that is generated by a portfolio. In this paper we intr…