Assessing the cost-effectiveness of university academic recruitment and promotion policies,

This paper develops an approach for higher education institutions to assess the economic efficiency of their recruitment and promotion practices concerning academic staff. Research output potential is a key criterion in most academic appointments. Generally, there is a long lead time between the conduct of research and its ultimate value in the form of disseminated knowledge. This means higher education institutions usually reward financially staff on the prospect of research output, albeit on the basis of research outputs achieved up to the point of recruitment or discretionary salary rise (e.g. through promotion). We propose a Data Envelopment Analysis (DEA) model which can be used retrospectively to set salary costs against corresponding research outputs achieved as a measure of the financial efficacy of past recruitment and promotion practices. The analysis can identify potential issues with those practices and lead to improvements for the future.

[1]  Panagiotis Mitropoulos,et al.  Evaluating efficiency of university academic departments , 2007 .

[2]  Emmanuel Thanassoulis,et al.  Applications of Data Envelopment Analysis in Education , 2016 .

[3]  Laurie McAulay,et al.  The judge, the model of the judge, and the model of the judged as judge: Analyses of the UK 1992 research assessment exercise data for business and management studies , 1996 .

[4]  Maria Paola Scaparra,et al.  Estimating Business and Management journal quality from the 2008 Research Assessment Exercise in the UK , 2012, Inf. Process. Manag..

[5]  P. Andersen,et al.  A procedure for ranking efficient units in data envelopment analysis , 1993 .

[6]  Antreas D. Athanassopoulos,et al.  Assessing the Comparative Efficiency of Higher Education Institutions in the UK by the Means of Data Envelopment Analysis , 1997 .

[7]  Emmanuel Thanssoulis,et al.  Setting Achievement Targets for School Children , 1999 .

[8]  Geraint Johnes,et al.  Scale and technical efficiency in the production of economic research , 1995 .

[9]  Emmanuel Thanassoulis,et al.  Economic efficiency when prices are not fixed: disentangling quantity and price efficiency , 2014 .

[10]  Maria Paola Scaparra,et al.  Estimating Business and Management Journal Quality from the 2008 UK Research Assessment Exercise , 2011 .

[11]  M. Abbott,et al.  The efficiency of Australian universities: a data envelopment analysis , 2003 .

[12]  Konstantinos Kounetas,et al.  Departmental efficiency differences within a Greek university: An application of a DEA and Tobit analysis , 2011, Int. Trans. Oper. Res..

[13]  Giannis Karagiannis,et al.  Assessing research effectiveness: a comparison of alternative nonparametric models , 2017, J. Oper. Res. Soc..

[14]  Jill Johnes,et al.  Measuring the Research Performance of UK Economics Departments: An Application of Data Envelopment Analysis , 1993 .

[15]  Nicky Rogge,et al.  To publish or not to publish? On the aggregation and drivers of research performance , 2010, Scientometrics.

[16]  N. Avkiran INVESTIGATING TECHNICAL AND SCALE EFFICIENCIES OF AUSTRALIAN UNIVERSITIES THROUGH DATA ENVELOPMENT ANALYSIS , 2001 .

[17]  J. Broadbent,et al.  Business and Management Studies in the 2014 Research Excellence Framework , 2015 .

[18]  George Katharakis,et al.  A Comparative Assessment of Greek Universities' Efficiency Using Quantitative Analysis. , 2010 .