Measuring balanced effectiveness and efficiency of German business schools’ research performance

Dyckhoff, Harald; Clermont, Marcel; Dirksen, Alexander; Mbock, Eleazar

doi:10.1007/978-3-658-03348-4_3

Cited by 14 publications

(23 citation statements)

References 11 publications

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“…This led to the specific DEA method suggestion by Charnes, Cooper, and Rhodes in 1978 [24]. Reasons for the increasing use of this efficiency analysis technique in higher education research are the fact that no a priori knowledge about a production function is required, only real-life data is used, and a multitude of inputs can be combined with a multitude of outputs, which is very typical for universities as "multi-product-organisations" [68][69][70][71][72][73].…”

Section: Research Methodology and Index Numbersmentioning

confidence: 99%

The Index Number Problem with DEA: Insights from European University Efficiency Data

Klumpp

2018

Education Sciences

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An increasing effort has been put into dealing with the question of time-series analysis regarding institutional efficiency, including in the area of higher education. Universities are important institutions for economies and societies and are expected to provide excellence as well as efficiency in their processes and outputs. This is reflected in the context of an increased global competitive environment by more refined international university rankings. Combining the two areas, this paper points towards a methodological challenge in comparing different ranking datasets for their use in a data envelopment analysis (DEA) Malmquist index time-series efficiency analysis, namely, index-based data compared to additive data. The problem is discussed in a theoretical framework and complemented with an empirical application: calculations for 70 European universities with budget and staff input data and different ranking output data for the timeframe of 2011-2016 show that there is no evidence for a specific index data problem. Important implications regarding university management and higher education policies are outlined. Efficiency improvements among the analyzed universities are significant but also unevenly distributed and not easy to obtain for individual institutions.

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Section: Research Methodology and Index Numbersmentioning

confidence: 99%

The Index Number Problem with DEA: Insights from European University Efficiency Data

Klumpp

2018

Education Sciences

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“…Thanassoulis et al 2011). 1 Concerning German BuSs, Ahn et al (2007) examine the effects of different aggregation methods on research performance, whereas Dyckhoff et al (2013) analyse effectiveness and efficiency, as well as balance and/or specialisation of single German BuSs. In contrast, Dyckhoff et al (2009), Albers (2015 and Clermont et al (2015) investigate the relation between research productivity and the size of German BuSs, while Albers and Bielecki (2012) identify factors which influence the reputation of institutions of higher education.…”

Section: Literature Overviewmentioning

confidence: 99%

“…To calculate the effectiveness and efficiency of BuSs, I use the non-parametric procedure of data envelopment analysis (DEA), which has been methodically established in the university context (see, e.g., the analyses by Ahn et al 1988;Johnes 2006;Fandel 2007;Gutierrez 2007;Dyckhoff et al 2013). DEA measures the relative efficiency of Decision Making Units (DMUs; here BuSs) on the basis of a comparison of inputs and outputs, without the need for an explicit indication of weighting factors.…”

Section: Introductionmentioning

confidence: 99%

Effectiveness and efficiency of research in Germany over time: an analysis of German business schools between 2001 and 2009

Clermont

2016

Scientometrics

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This article analyses the development of effectiveness and efficiency of German business schools' research production between 2001 and 2009. The results suggest that effectiveness for most of the examined business schools increases initially. Then, however, a declining trend in the further course of time can be observed. Similar tendencies can be stated considering efficiency, even though they are slightly less pronounced. An analysis of the reasons for these observations reveals that the initial positive developments of effectiveness and of efficiency are mainly due to technology advances, whereas the following decreases are basically a result of technology backwardness. In regard to different types of business schools, a strong relation between the reputation of a school and the research effectiveness of that school becomes apparent. With reference to geographical regions, Western and Southern German business schools feature higher effectiveness than their Northern or Eastern counterparts do. This statement, however, is not valid in terms of efficiency.

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“…() and Dyckhoff et al . () introduce a new approach that appraises the specialization of an action or DMU by measuring its distance to a given balanced standard called the balance set. They illustrate their new approach by means of two real applications, the case of a European pharmacy chain and the case of German business schools' research.…”

Section: Introductionmentioning

confidence: 99%

“…Dyckhoff et al . () sketch their idea using a graphical and numerical example, only. They, however, applied their method successfully to the data on the research performance of German business schools taken from the ranking of the Centre for Higher Education (CHE) for the special case of a ray as balance set in output space.…”

Section: Introductionmentioning

confidence: 99%

Distance-Based Measures of Specialization and Balance in Multi-Criteria: A DEA-Integrated Method

Dyckhoff

Mbock

Gutgesell

2014

J. Multi-Crit. Decis. Anal.

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Decision makers pursuing several distinct goals may differ in their behaviour. Some try to achieve all goals simultaneously, whereas others concentrate on only certain ones and are therefore specialized. We present a new method of measuring the specialization degree with respect to a given standard balanced relation of the goals. The measurement is integrated into data envelopment analysis (DEA) methodology, uses a non‐compensative distance measure, permits optional convex polyhedral cones as predefined balance sets and guarantees feasible solutions. Geometrically, it is based on the angle between the balance cone and the ray through the point of investigation. The proposed models can be used to support and complement the usual effectiveness and efficiency analysis in multi‐criteria decision analysis and DEA. They are motivated and illustrated by a simple numerical example, compared with an alternative method recently published and applied to real data from the literature. Copyright © 2014 John Wiley & Sons, Ltd.

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Measuring balanced effectiveness and efficiency of German business schools’ research performance

Cited by 14 publications

References 11 publications

The Index Number Problem with DEA: Insights from European University Efficiency Data

The Index Number Problem with DEA: Insights from European University Efficiency Data

Effectiveness and efficiency of research in Germany over time: an analysis of German business schools between 2001 and 2009

Distance-Based Measures of Specialization and Balance in Multi-Criteria: A DEA-Integrated Method

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