Returns to scale of Business Administration research in Germany

Clermont, Marcel; Dirksen, Alexander; Dyckhoff, Harald

doi:10.1007/s11192-015-1561-2

Cited by 15 publications

(14 citation statements)

References 41 publications

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“…This assumption is not without problems, as it implies, for example, that a doubling of inputs leads to a doubling of outputs. On the other hand, Clermont et al (2015) demonstrate that constant returns to scale do exist for medium-sized BuSs in Germany, both on the basis of the CHE research data examined and when using DEA. Nevertheless, there is also a trend towards decreasing returns to scale for larger BuSs with more than 18 professorships.…”

Section: Implications Limitations and Outlookmentioning

confidence: 90%

“…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%

“…For a short description of the idea and procedure of the basic radial DEA models, seeClermont et al (2015) Cooper et al (2007). give an overview of different mathematical model formulations.…”

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confidence: 99%

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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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Section: Implications Limitations and Outlookmentioning

confidence: 90%

Section: Literature Overviewmentioning

confidence: 99%

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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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“…However, the empirical evidence on the link between size and performance in academia is mixed (for recent overviews, see Albers 2015 andClermont, Dirksen, andDyckhoff 2015). Concerning publication performance, e.g., Carayol and Matt (2004), Verbree et al (2015), van der Wal et al (2009) and Brandt and Schubert (2013) find a negative relation between group size and publication performance.…”

Section: Size and Performancementioning

confidence: 99%

“…Whereas size effects in academia have been studied repeatedly at the department, school and university levels (for recent overviews, see Albers 2015 andClermont, Dirksen, andDyckhoff 2015), there is hardly any literature on potential size effects at the PhD program level. We are aware of only one study, the study by Bowen and Rudenstine (1992) who, however, only calculate and descriptively compare the doctoral completion rates of comparatively larger and comparatively smaller PhD programs without further analyzing the differences.…”

Section: Introductionmentioning

confidence: 99%

Do Research Training Groups Operate at Optimal Size?

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Pferdmenges

Backes‐Gellner

2017

Schmalenbach Bus Rev

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In this paper, we analyze whether structured PhD programs operate at optimal size and whether there are differences between different disciplinary fields. Theoretically, we postulate that the relation between the size of a PhD program and program performance is hump shaped. For our empirical analysis, we use hand-collected data on 86 Research Training Groups (RTGs) funded by the German Research Foundation (DFG). As performance indicators, we use (a) the number of completed PhDs and (b) the number of publications by RTG students (PhD students and postdoctoral researchers). Applying DEA with constant and variable returns to scale, we find that the optimal team size varies between 10 and 16 RTG students in the humanities and social sciences. In contrast, our empirical analysis does not uncover a systematic relation between size and performance for RTGs in the natural and life sciences.

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