Towards a Framework for Evaluating Scientific Efficiency of World-Class Universities
Evaluating the efficiency of decision making units has been frequently elaborated on in numerous publications. In this paper, the theoretical framework for a novel method of Distance Based Analysis (DBA) is presented. In addition, the method is performed on a sample of the ARWU’s top 54 Universities of the United States; the findings of which clearly demonstrate that the best ranked Universities are far from also being the most efficient.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1091058Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1322
 B. Ivanovic, Classification Theory. Belgrade: Institute for Industrial Economics, 1977.
 V. Jeremic, M. Bulajic, M. Martic, and Z. Radojicic, "A Fresh Approach to Evaluating the Academic Ranking of World Universities”, Scientometrics, vol. 87, no. 3, pp. 587-596, 2011.
 М. Dоbrоtа, V. Јеrеmic, and А. Маrkоvic, "A New Perspective on the ICT Development Index”, Information Development, vol. 28, no. 4, pp. 271-280, 2012.
 V. Јеrеmic, М. Bulајic, М. Маrtic, А. Маrkоvic, G. Sаvic, D. Јеrеmic, and Z. Rаdојicic, "An Evaluation of European Countries Health Systems through Distance Based Analysis”, Hippokratia, vol. 16, no. 2, pp. 170-174, 2012.
 Z. Rаdојicic, and V. Јеrеmic, "Quantity or Quality: What Matters More in Ranking Higher Education Institutions?”, Current Science, vol. 103, no. 2, pp. 158-162, 2012.
 K. Seke, N. Petrovic, V. Jeremic, J. Vukmirovic, B. Kilibarda, and M. Martic, "Sustainable Development and Public Health: Rating European Countries”, BMC Public Health, vol. 13, no. 77, 2013.
 N. A. Bowman, and M. N. Bastedo, "Anchoring Effects in World University Rankings: Exploring Biases in Reputation Scores”, Higher Education, vol. 61, no. 4, pp. 431- 444, 2011.
 P. Paruolo, M. Saisana, and A. Saltelli, "Ratings and Rankings: Voodoo or Science?”, Journal of the Royal Statistical Society: Series A (Statistics in Society), vol. 176, no. 3, pp. 609-634, 2013.
 М. Јоvаnоvic, V. Јеrеmic, G. Sаvic, М. Bulајic, and М. Маrtic, "How does the normalization of data affect the ARWU ranking?”, Scientometrics, vol. 93, no. 2, pp. 319-327, 2012.
 I. Aguillo, J. Bar-IIan, M. Levene, and J. L. Ortega, "Comparing university rankings”, Scientometrics, vol. 85, no. 1, pp. 243–256, 2010.
 M. Zitt, and G. Filliatreau, "Big is (Made) Beautiful: Some Comments about the Shanghai Ranking of World-Class Universities”, in J. Sadlak, and N.C. Liu (Eds.), The World-Class University and Ranking: Aiming beyond Status (pp. 141–160). UNESCO-CEPES, Institute of Higher Education, Shanghai Jiao Tong University, and Cluj University Press, 2007.
 J. C., Billaut, D. Bouyssou, and P. Vincke, "Should You Believe in the Shanghai Ranking: An MCDM View”, Scientometrics, vol. 84, no. 1, pp. 237–263, 2010.
 G. Prathap, "The Research Performance of Top Indian and Chinese Higher Education Institutions Compared”, Current Science, vol. 102, no. 6, p. 827, 2012.
 L. Waltman, C. Calero-Medina, J. Kosten, E. Noyons, R. Tijssen, J. Van Eck, T. Van Leeuwen, A. Van Raan, M. Visser, and P. Wouters, "The Leiden Ranking 2011/2012: Data Collection, Indicators, and Interpretation”, Journal of the American Society for Information Science and Technology, vol. 63, no. 12, pp. 2419–2432, 2012.
 D. Torres-Salinas, J. G. Moreno-Torres, E. Delgado-Lopez-Cezar, F. Herrera, "A Methodology for Institution-Field Rankings Based On a Bidimensional Analysis: The IFQ2A Index”, Scientometrics, vol. 88, no. 3, pp. 771-786, 2011.
 G. Abramo, T. Cicero, and G. D. D’Angelo, "A Field-Standardized Application of DEA to National-Scale Research Assessment of Universities”, Journal of Infometrics, vol. 5, pp. 618-628, 2011.
 T. Agasisti, G. Catalano, P. Landoni, and R. Verganti, "Evaluating the Performance of Academic Departments: An Analysis of Research-Related Output Efficiency”, Research Evaluation, vol. 21, no. 1, pp. 2-14, 2012.
 R. Mutz, L. Bornmann, and H. D. Daniel, "Types of Research Output Profiles: A Multilevel Latent Class Analysis of the Austrian Science Fund’s Final Project Report Data”, Research Evaluation, vol. 22, pp. 118-133, 2013.