Qu-Be

Recent projects

Non-exhaustive list of projects by research members

Recent academic work on quantitative benchmarking

An analysis of managerialism and performance in English and Welsh male prisons.

This paper fills a noticeable gap in the current economic and penology literature by proposing new performance-enhancing policies based on an efficiency analysis of a sample of male prisons in England and Wales over the period 2009/10. In addition, we advance the empirical literature by integrating the managerialism of four strategic functions of prisons, employment and accommodation, capacity utilisation, quality of life in prison and the rehabilitation and re-offending of prisoners.

Accepted for the European Journal of Operational ResearchRead More

The economic meaning of Data Envelopment Analysis: A behavioral perspective.

In this paper, we adopt an `economic' (as opposed to `engineering') perspective on DEA: we start from a clear specification of the production-behavioral models and use minimal (nonverifiable) engineering information. Our insights re-interpret DEA efficiency measures as measures for violations of economically optimizing behavior.

Socio-Economic Planning SciencesRead More

Efficiency Analysis in the Presence of Bad Outputs.

Cherchye et al. (2013) introduced a DEA methodology that is specially tailored for multi-output efficiency measurement. The methodology accounts for jointly used inputs and incorporates information on how inputs are allocated to outputs. In this paper, we present extensions that render the methodology useful to deal with undesirable (or "bad") outputs in addition to desirable (or "good") outputs.

Accepted for the European Journal of Operational ResearchRead More

Opening the Black Box of Efficiency Measurement: Input Allocation in Multioutput Settings.

We develop a new data envelopment analysis (DEA)-based methodology for measuring the efficiency of decision-making units (DMUs) characterized by multiple inputs and multiple outputs. The distinguishing feature of our method is that it explicitly includes information about output-specific inputs and joint inputs in the efficiency evaluation. This method contributes to opening the black box of efficiency measurement in two different ways. First, including information on the input allocation substantially increases the discriminatory power of the efficiency measurement. Second, it allows us to decompose the efficiency value of a DMU into output-specific efficiency values, which facilitates the identification of the outputs the manager should focus on to remedy the observed inefficiency. We demonstrate the usefulness and managerial implications of our methodology by means of a unique data set collected from the activity-based costing (ABC) system of a large service company with 290 DMUs.

Operations Research Read More