Performance Management at Universities
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Performance Management at Universities

The Danish Bibliometric Research Indicator at Work

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eBook - ePub

Performance Management at Universities

The Danish Bibliometric Research Indicator at Work

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About This Book

"Mouritzen and Opstrup's book is a most welcome addition to the subject of the management of academic performance. It is certainly well-worth reading and considering." ā€”Bruno S. Frey, Permanent Visiting Professor at the University of Basel and Research Director CREMA - Center for Research in Economics, Management and the Arts, Switzerland
" Performance Management at Universities could not possibly be more timely. With universities and university faculty throughout the world being pressed to give more evidence and more precise indicators about their productivity, this thoughtful contribution provides a much needed and unusually thoughtful analysis of the possibilities and pitfalls found in current approaches to university performance evaluation. Given policy-makers' and politicians' calls for evidence-based management and evaluation, let us hope that policy-makers heed their own rhetoric and act on the evidence provided here. The authors show that performance measures, while sometimes beneficial, are subject to gaming and manipulation and that more precision does not necessarily equate with better performance, but rather altered performance. This superb book should be read by anyone interested higher education evaluation as well as by those who are subjected to it." ā€”Barry Bozeman, Regents' Professor, Arizona Centennial Professor of Technology Policy and Public Management, School of Public Affairs, Arizona State University, USA
"In Performance Management at Universities, Mouritzen and Opstrup definitively answer the question: What are the effects of national university performance-based funding schemes that use bibliometric indicators? As these schemes have proliferated, the question has become urgent. The authors marshal comprehensive data on the Danish university system to sift through the many predictions commonly made by academics newly subject to these systems to identify what actually happened to Danish research as the system took hold."
ā€”Diana Hicks, Professor, School of Public Policy, Georgia Institute of Technology, USA, and first author on the Leiden Manifesto on research metrics
This book gives an account of what can happen when performance management is introduced at universities. How do scholars ā€“ for better or worse ā€“ respond to a system which counts the number of articles and books? Many myths exist about scholar's reactions: They cheat, slice their production to the least publishable unit, become more risk averse and will go for the low-hanging fruits; in short, they develop a "taste for publication" at the cost of a "taste of science". Systematic knowledge about the consequences of such systems for the motivation, behavior and productivity of university scholars is in short supply. The book is a major contribution to remedy this situation.

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Part IIntroduction
Ā© The Author(s) 2020
Poul Erik Mouritzen and Niels OpstrupPerformance Management at UniversitiesPublic Sector Organizationshttps://doi.org/10.1007/978-3-030-21325-1_1
Begin Abstract

1. Performance Management Strikes Danish Universities

Poul Erik Mouritzen1 and Niels Opstrup2
(1)
Department of Political Science, Aarhus University, Aarhus, Denmark
(2)
Department of Political Science and Public Management, University of Southern Denmark, Odense, Denmark
Poul Erik Mouritzen (Corresponding author)
Niels Opstrup
The Prime Minister Goes to China
The International Context
Goals and Expectations
The National Context
Streamlining Management and Consolidation of Universities
Increased Funding
Increased Competition
The Universities
System Design
Main Principles
Strength of the Incentive System
Structure of the Book
Literature

Keywords

Performance managementBibliometric research indicatorUniversity fundingPRFS
End Abstract
I have visited the Peopleā€™s Republic of China.
All my expectations were exceeded by reality. Jobs are moving around the planet, and the big challenge is that we have to be better in creating new jobs in Denmark to make up for the jobs we loseā€¦ In Denmark we are concerned about ā€˜picking the winner,ā€™ but we will get a much larger return by being focused rather than spreading the butter thin.
Prime Minister Anders Fogh Rasmussen, August 2004 1

The Prime Minister Goes to China

In 2004, during an official visit to China, Danish Prime Minister Anders Fogh Rasmussen came to realize the serious challenges presented to Danish society by globalization. He returned to Denmark convinced that one of the responses to these challenges should be to strengthen Danish research. Two months later, in his opening speech to the Danish Parliament, the goal was stated clearly: that the public sector and private industry increase spending for research and development in order to reach an amount in 2010 equivalent to more than three per cent of GNP. 2
A year later, in a white paper prepared by the government, the goal was repeated and a strategy for making Danish research ā€˜world-classā€™ was formulated. The very first component of the strategyā€”competition for funding based on the quality of researchā€”took as its starting point the fact that the existing distribution of resources was based on historical circumstances which did not take into consideration the current quality of research. In future, the white paper stated, funding (basismidler) should be performance based in order to ensure that the best universities received more resources. The evaluation of quality was to be based on an international and independent panel of experts (Regeringen 2005, 5ff.).
The white paper initiated a two-year-long debate among the major stakeholders. Relatively early on, the idea of an international panel was abolished, not least because of opposition from Danish Universities, the professional body representing Danish universities. 3 In the meantime, the Danish Research Agency (Forskningsstyrelsen) sought to develop a ā€˜bibliometric quality indicatorā€™; however, in 2008, the agency gave up, and from then on, it merely promoted a ā€˜bibliometric research indicatorā€™ (Forsknings- og Innovationsstyrelsen 2008). In other words, the agency started out with an indicator whose purpose was to measure quality (closely reflecting the wishes of the government) and ended up with an indicator whose purpose was to promote quality.
The result of these deliberations was the Bibliometric Research Indicator (BRI), which was introduced in 2008 as system in which scholars and universities were obligated to record their research publications. The indicator took effect as a component in the formula for allocating funds to universities from fiscal year 2010.

The International Context

The BRI did not come out of the blue. First, it is an example of one of the instruments promoted by New Public Management: Performance Management (PM). 4 The basic claim is that public organizations traditionally perform poorly because they are constrained by rules and regulations, do not have explicit performance standards and are not held accountable for goal attainment. The argument is that performance can be improved by shifting focus towards results rather than inputs or procedures and, with it, increase autonomy and flexibility at decentralized levels by replacing direct control of work with appraisals of its outcomes (Moynihan 2006, 2008). More precisely, PM is associated with setting clear organizational goals, operationalizing the goals to targets on relevant indicators, evaluating goal attainment on the basis of these indicators and taking corrective actions based on performance information when required (Walker et al. 2010, p. 26). Performance measurement is a central part of this. The most debated form of managerial action in relation to performance monitoring is the provision of incentives to promote resultsā€”that is, rewarding goal attainment and/or applying sanctions if targets are not met (Boyne 2010; Swiss 2005). Consequently, as the autonomy over work processes is increased, so too are efforts to discipline the use of this autonomy by structuring incentives and enhancing pressures to perform (Soss et al. 2011). The assumption underlying the use of incentives is that the agents (individual or organizational) behave as rational and economically motivated actors with a fixed set of preferences that they seek to maximize on the basis of strategic calculations.
Universities were one of the last bastions of the old days. Around the turn of the century, the Ministry of Science introduced a component of performance in university funding, according to which a marginal and fluctuating part of their annual appropriations was a function of the number of students, external grants and doctoral degrees, with weights of 50, 40 and 10%, respectively (Aagaard 2011, pp. 277, 286). The overwhelming proportion of the appropriations, however, reflected numerous isolated decisions made in the preceding decadesā€”what was referred to above as ā€˜the existing distribution.ā€™ The 50-40-10 system, however, lived its own life behind the scenes and was generally unknown to the individual faculty member and probably also to many department chairs.
With the BRI, Denmark joined in earnest a growing number of countries applying performance-based university research funding systems (PRFS), making government funding of universities dependent on ex post evaluations of research output (Geuna and Martin 2003; Hicks 2012; Tahar and Boutellier 2013; Sivertsen 2017). A recent survey reveals that PRFSs have been introduced in 15 of the 28 member states of the European Union (Jonkers and Zacharewicz 2016). We also find PRFSs outside Europe, notably in Australia and New Zealand (Hicks 2012), while a number of dominant research nations like the United States, Canada and Switzerland use other distributive mechanisms (Aagaard et al. 2014).
Hicks (2012, p. 252) lists five defining criteria for PRFSs, which can be summarized as follows:
  • Research must be evaluated. Evaluations of the quality of degree programmes and teaching are excluded.
  • Research evaluation must be ex post. Evaluations of research proposals for project or programme funding are ex ante evaluations and are excluded.
  • Research output must be evaluated. Systems that allocate funding based solely on PhD student numbers and external research funding are excluded.
  • Government distribution of research funding must depend, or will soon depend, on the results of the evaluation. Ex post evaluations of university research performance used only to provide feedback to universities or to the government are excluded.
  • It must be a national system. University evaluations of their own research standing, even if used to inform internal funding distribution, are excluded.
PRFSs are, in other words, a performance-based university budget system that connects university funding to some form of ex post evaluation of their research efforts. However, the different research evaluation systems which fall within the above definition vary considerably between countries, in relation to their design, analytical levels, time intervals, measurement methods, etc. Generally speaking, one can distinguish between three types of models when it comes to PRFSs: (1) panel-based models, (2) publication-based models, and (3) citation-based models (Aagaard et al. 2014).
Panel-based models are based on peer reviews or peer reviews supported by various bibliometric goals. The British Research Assessment Exercises (RAE) is probably the best-known example of a panel-based model and also the first example of a PRFS in general. The RAE system was based on expert panelsā€™ evaluation of the quality of research at all institutions within a given research area at intervals of several years. Each research institution was given a quality rating, which was then used in the allocation of (future) research funds (Barker 2007). Such research assessments were carried out for the first time in 1986 and, since then, in 1989, 1992, 1996, 2001 and 2008. From 2014, the RAE system was replaced by the so-called Research Excellence Framework (REF), which also, among other things, emphasizes resear...

Table of contents

  1. Cover
  2. Front Matter
  3. Part I. Introduction
  4. Part II. Motivational and Behavioral Effects
  5. Part III. Output and Outcomes
  6. Part IV. Conclusions
  7. Back Matter