Budgetary allocations and efficiency in the human resources policy of a university following multiple criteria

This study proposes a methodology to serve as a guiding mechanism for the allocation and management of university financial resources taking efficiency as its objective. Specifically, an aid model is provided for decision making, so that the planning of staff policy within a university guarantees an equal treatment of all the teaching and research units, greater transparency in the allocation of financial resources, as well as a rational monitoring of the allocations made and their effects on the university efficiency levels. The model we provide is based on the use of two quantitative techniques: data envelopment analysis (DEA) and multiple criteria decision making (MCDM), both techniques being linked in a way which makes it possible to transfer information from one to the other.

[1]  T. Tanino,et al.  Dual Approach to Generalized Data Envelopment Analysis based on Production Possibility , 2002 .

[2]  Rafael Caballero,et al.  Efficient assignment of financial resources within a university system. Study of the University of Malaga , 2001, Eur. J. Oper. Res..

[3]  A. Athanassopoulos.  Decision Support for Target-Based Resource Allocation of Public Services in Multiunit and Multilevel Systems , 1998 .

[4]  Günter Fandel,et al.  Redistribution of funds for teaching and research among universities: The case of North Rhine-Westphalia , 2001, Eur. J. Oper. Res..

[5]  Jyrki Wallenius,et al.  Value efficiency analysis of academic research , 1998, Eur. J. Oper. Res..

[6]  A. Charnes,et al.  Data Envelopment Analysis Theory, Methodology and Applications , 1995 .

[7]  Pekka Korhonen,et al.  Structural Comparison of Data Envelopment Analysis and Multiple Objective Linear Programming , 1998 .

[8]  Gary R. Reeves,et al.  A multiple criteria approach to data envelopment analysis , 1999, Eur. J. Oper. Res..

[9]  Antonio Ramírez de Arellano Agudo,et al.  La financiación de las universidades andaluzas , 1995 .

[10]  Theodor J. Stewart,et al.  Relationships between Data Envelopment Analysis and Multicriteria Decision Analysis , 1996 .

[11]  J. Beasley.  Determining Teaching and Research Efficiencies , 1995 .

[12]  Mark Goh,et al.  Multi-criterion models for higher education administration , 1996 .

[13]  A. Athanassopoulos.  Goal programming & data envelopment analysis (GoDEA) for target-based multi-level planning: Allocating central grants to the Greek local authorities , 1995 .

[14]  D. F. Coleman,et al.  An efficiency review of university departments , 1997, Int. J. Syst. Sci..

[15]  Andrzej P. Wierzbicki,et al.  The Use of Reference Objectives in Multiobjective Optimization , 1979 .

[16]  Comparing the efficiency of Austrian universities: A data envelopment analysis application , 1998 .

[17]  Jaap Spronk,et al.  Performance benchmarking using interactive data envelopment analysis , 1999, Eur. J. Oper. Res..

[18]  Boaz Golany,et al.  An Interactive MOLP Procedure for the Extension of DEA to Effectiveness Analysis , 1988 .

[19]  J. Wallenius,et al.  A Value Efficiency Approach to Incorporating Preference Information in Data Envelopment Analysis , 1999 .