An Efficiency Analysis of U.S. Business Schools.

In the current economic climate, business schools face crucial decisions. As resources become scarcer, schools must either streamline operations or limit them. An efficiency analysis of U.S. business schools is presented that computes, for each business school, an overall efficiency score and provides separate factor efficiency scores, indicating the extent to which the school can reduce each resource and increase each output. Using data envelopment analysis and AACSB data, the model rates the managerial performance of 438 U.S. business schools. For 21.5% of the schools, the analysis finds no evidence that they can improve their performance. For each remaining school, the analysis identifies the extent to which it can improve its overall efficiency and its efficiency within specific areas. The results are useful to business schools in developing long-term strategic plans, making resource allocation decisions, preparing for AACSB accreditation review, and improving overall performance.

[1]  Christine Pitocco,et al.  Alleviating blood shortages in a resource‐constrained environment , 2005, Transfusion.

[2]  R. Färe,et al.  Measuring the efficiency of decision making units: A comment , 1984 .

[3]  H. Sherman Hospital Efficiency Measurement and Evaluation: Empirical Test of a New Technique , 1984, Medical care.

[4]  Shawna Grosskopf,et al.  The Measurement of Efficiency of , 1985 .

[5]  T. J. Cook,et al.  Evaluating the administrative efficiency of courts , 1982 .

[6]  CharnesA.,et al.  Evaluating Program and Managerial Efficiency , 1981 .

[7]  C. Lovell,et al.  A survey of frontier production functions and of their relationship to efficiency measurement , 1980 .

[8]  A. U.S.,et al.  Measuring the efficiency of decision making units , 2003 .

[9]  Rolf Färe,et al.  Measuring Productive Efficiency: An Application to Illinois Strip Mines , 1984 .

[10]  Thomas R. Sexton,et al.  Accounting for site characteristics in DEA: leveling the playing field , 2007, Int. Trans. Oper. Res..

[11]  T. Sexton,et al.  Data Envelopment Analysis: Critique and Extensions , 1986 .

[12]  Jean-Paul Chavas,et al.  A Generalized Distance Function and the Analysis of Production Efficiency , 1999 .

[13]  Nunamaker Tr,et al.  Measuring routine nursing service efficiency: a comparison of cost per patient day and data envelopment analysis models. , 1983 .

[14]  A M Leiken,et al.  Evaluating Managerial Efficiency of Veterans Administration Medical Centers Using Data Envelopment Analysis , 1989, Medical care.

[15]  Susan G. Broyles,et al.  Integrated Postsecondary Education Data System (IPEDS). , 1994 .

[16]  William W. Cooper,et al.  Evaluating Program and Managerial Efficiency: An Application of Data Envelopment Analysis to Program Follow Through , 1981 .

[17]  Jeff Kennington,et al.  An Application of Mathematical Programming to Assess Productivity in the Houston Independent School District , 1982 .

[18]  Thomas R. Sexton,et al.  Improving Pupil Transportation in North Carolina , 1994 .

[19]  T. R. Nunamaker Measuring routine nursing service efficiency: a comparison of cost per patient day and data envelopment analysis models. , 1983, Health services research.

[20]  Thomas R. Sexton,et al.  The methodology of data envelopment analysis , 1986 .

[21]  R. Färe,et al.  The measurement of efficiency of production , 1985 .

[22]  Rolf Färe,et al.  Efficiency measures for multiplant firms , 1984 .

[23]  Abraham Charnes,et al.  Measuring the efficiency of decision making units , 1978 .

[24]  M. Farrell The Measurement of Productive Efficiency , 1957 .