New Public Management in Science and Incentive-Compatible Resource-Allocation Based on Indicators
(2010) In Higher Education Dynamics 32. p.3-18- Abstract
The chapter analyses the question whether scientific performance can be measured appropriately and if the measurement may create suitable performance incentives for the research units. For this purpose, the outcome of a large dataset including different scientific fields is examined in detail. A major point of investigation is to show the effect of specific instruments of New Public Management (NPM) on scientific performance. Although not all NPM instruments contribute to increased research efficiency – some even have a negative effect on it – the effects are rather positive. A further result of the investigation is the multidimensionality of scientific performance. As a consequence, the usual surveys including only a small number of... (More)
The chapter analyses the question whether scientific performance can be measured appropriately and if the measurement may create suitable performance incentives for the research units. For this purpose, the outcome of a large dataset including different scientific fields is examined in detail. A major point of investigation is to show the effect of specific instruments of New Public Management (NPM) on scientific performance. Although not all NPM instruments contribute to increased research efficiency – some even have a negative effect on it – the effects are rather positive. A further result of the investigation is the multidimensionality of scientific performance. As a consequence, the usual surveys including only a small number of indicators are an insufficient measuring device. This is especially important because a positive efficiency effect of NPM mechanisms at the microlevel might be counteracted by a negative effect at the macrolevel if its functional balance is disturbed. The chapter therefore shows how the different dimensions can be analysed appropriately, maintaining also the functional balance. Furthermore, it is shown which indicators are relevant for an appropriate measurement. On the basis of the broad available dataset, it is possible to analyse all these topics empirically.
(Less)
- author
- Schubert, Torben LU and Schmoch, Ulrich
- publishing date
- 2010
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- Advisory Service, Graduate Teaching, Indicator System, Scientific Output, Scientific Production
- host publication
- Governance and Performance in the German Public Research Sector : Disciplinary Differences - Disciplinary Differences
- series title
- Higher Education Dynamics
- editor
- Jansen, Dorothea
- volume
- 32
- pages
- 16 pages
- publisher
- Springer Science and Business Media B.V.
- external identifiers
-
- scopus:85056089859
- ISSN
- 1571-0378
- 2215-1923
- ISBN
- 978-90-481-9138-3
- 978-90-481-9139-0
- DOI
- 10.1007/978-90-481-9139-0_1
- language
- English
- LU publication?
- no
- additional info
- Publisher Copyright: © 2010, Springer Science+Business Media B.V. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.
- id
- 41ca61b5-0bdf-4572-ae18-8d74247e35d7
- date added to LUP
- 2021-06-16 09:56:54
- date last changed
- 2024-01-05 12:24:36
@inbook{41ca61b5-0bdf-4572-ae18-8d74247e35d7,
abstract = {{<p>The chapter analyses the question whether scientific performance can be measured appropriately and if the measurement may create suitable performance incentives for the research units. For this purpose, the outcome of a large dataset including different scientific fields is examined in detail. A major point of investigation is to show the effect of specific instruments of New Public Management (NPM) on scientific performance. Although not all NPM instruments contribute to increased research efficiency – some even have a negative effect on it – the effects are rather positive. A further result of the investigation is the multidimensionality of scientific performance. As a consequence, the usual surveys including only a small number of indicators are an insufficient measuring device. This is especially important because a positive efficiency effect of NPM mechanisms at the microlevel might be counteracted by a negative effect at the macrolevel if its functional balance is disturbed. The chapter therefore shows how the different dimensions can be analysed appropriately, maintaining also the functional balance. Furthermore, it is shown which indicators are relevant for an appropriate measurement. On the basis of the broad available dataset, it is possible to analyse all these topics empirically.</p>}},
author = {{Schubert, Torben and Schmoch, Ulrich}},
booktitle = {{Governance and Performance in the German Public Research Sector : Disciplinary Differences}},
editor = {{Jansen, Dorothea}},
isbn = {{978-90-481-9138-3}},
issn = {{1571-0378}},
keywords = {{Advisory Service; Graduate Teaching; Indicator System; Scientific Output; Scientific Production}},
language = {{eng}},
pages = {{3--18}},
publisher = {{Springer Science and Business Media B.V.}},
series = {{Higher Education Dynamics}},
title = {{New Public Management in Science and Incentive-Compatible Resource-Allocation Based on Indicators}},
url = {{http://dx.doi.org/10.1007/978-90-481-9139-0_1}},
doi = {{10.1007/978-90-481-9139-0_1}},
volume = {{32}},
year = {{2010}},
}