Abstract
Research performance is difficult to evaluate because most of the criteria are incommensurable, and assessing its improvement over time is even more difficult. This paper assesses the performance improvement in management research in Taiwan between 2006 and 2010 using the Malmquist productivity index (MPI). The criteria for measuring research performance are journal publications, where the journals are classified as SI-, TI-, other international-, and other local-types. While the number of papers has increased for three types and decreased in one, the MPI indicates that the aggregate performance has improved significantly. The areas of management covered in this study are management information systems, production and operations management, and marketing. For all these areas the performance has improved, although the improvement in marketing is insignificant. The assessment sheds some light on the area and category of journals that contribute to the improvement of research performance, and which are useful for setting goals to reach higher levels.
Similar content being viewed by others
References
Abramo, G., D’Angelo, C. A., & Costa, F. D. (2011). A national-scale cross-time analysis of university research performance. Scientometrics, 87, 399–413.
Abramo, G., D’Angelo, C. A., & Pugini, F. (2008). The measurement of Italian universities’ research productivity by a nonparametric–bibliometric methodology. Scientometrics, 76, 225–244.
Albert, A., Granadino, B., & Plaza, L. M. (2007). Scientific and technological performance evaluation of the Spanish Council of Scientific Research (CSIC) in the field of biotechnology. Scientometrics, 70, 41–51.
Andersen, P., & Petersen, N. C. (1993). A procedure for ranking efficient units in data envelopment analysis. Management Science, 39, 1261–1264.
Banker, R. D., & Chang, H. (2006). The super-efficiency procedure for outlier identification, not for ranking efficient units. European Journal of Operational Research, 175, 1311–1320.
Brockett, P. L., & Golany, B. (1996). Using rank statistics for determining programmatic efficiency differences in data envelopment analysis. Management Science, 42, 467–472.
Caves, D. W., Christensen, L. R., & Diewert, W. E. (1982a). The economic theory of index numbers and the measurement of input, output, and productivity. Econometrica, 50, 1393–1414.
Caves, D. W., Christensen, L. R., & Diewert, W. E. (1982b). Multilateral comparisons of output, input, and productivity using superlative index numbers. The Economic Journal, 92, 73–86.
Charnes, A., & Cooper, W. W. (1984). The non-Archimedean CCR ratio for efficiency analysis: a rejoinder to Boyd and Färe. European Journal of Operational Research, 15, 333–334.
Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2, 429–444.
Claro, J., & Costa, C. A. V. (2011). A made-to-measure indicator for cross-disciplinary bibliometric ranking of researchers performance. Scientometrics, 86, 113–123.
Coccia, M. (2005). A scientometric model for the assessment of scientific research performance within public institutes. Scientometrics, 65, 307–321.
De Witte, K., & Rogge, N. (2010). To publish or not to publish? On the aggregation and drivers of research performance. Scientometrics, 85, 657–680.
Docampo, D. (2011). On using the Shanghai ranking to assess the research performance of university systems. Scientometrics, 86, 77–92.
Färe, R., Grosskopf, S., Norris, M., & Zhang, Z. (1994). Productivity growth, technical progress and efficiency change in industrialized countries. American Economic Review, 84, 66–83.
Gupta, B. M., Kshitij, A., & Verma, C. (2011). Mapping of Indian computer science research output, 1999–2008. Scientometrics, 86, 261–283.
Huang, M. H., Chang, H. W., & Chen, D. Z. (2006). Research evaluation of research- oriented universities in Taiwan from 1993–2003. Scientometrics, 67, 419–435.
Kao, C. (1994). Evaluation of junior colleges of technology: the Taiwan case. European Journal of Operational Research, 72, 43–51.
Kao, C. (2009a). The authorship and country spread of OR journals. Scientometrics, 78, 397–407.
Kao, C. (2009b). The authorship and internationality of industrial engineering journals. Scientometrics, 81, 123–136.
Kao, C., & Pao, H. L. (2009). An evaluation of research performance in management of 168 Taiwan universities. Scientometrics, 78, 261–277.
Kao, C., & Pao, H. L. (2012). Predicting project approvals: a case of grants from the National Science Council of Taiwan. Omega, 40, 89–95.
Kao, C., Wu, W. Y., Hsieh, W. J., Wang, T. Y., Lin, C., & Chen, L. H. (2008). Measuring the national competitiveness of southeast Asian countries. European Journal of Operational Research, 187, 613–628.
Meng, W., Hu, Z. H., & Liu, W. B. (2006). Efficiency evaluation of basic research in China. Scientometrics, 69, 85–101.
Moed, H. F. (2002). Measuring China’s research performance using the science citation index. Scientometrics, 53, 281–296.
Pastor, J. T., & Lovell, C. A. K. (2005). A global Malmquist productivity index. Economics Letters, 88, 266–271.
Pastor, J. T., & Lovell, C. A. K. (2007). Circularity of the Malmquist productivity index. Economic Theory, 33, 591–599.
Roll, Y., & Golany, B. (1993). Alternative methods of treating factor weights in DEA. Omega, 21, 99–109.
Ruiz, C. F., Bonilla, R., Chavarro, D., Orozco, L. A., Zarama, R., & Polanco, X. (2010). Efficiency measurement of research groups using data Envelopment analysis and bayesian networks. Scientometrics, 83, 711–721.
Schmoch, U., & Schubert, T. (2009). Sustainability of incentives for excellent research–the German case. Scientometrics, 81, 195–218.
Sombatsompop, N., Markpin, T., Yochai, W., & Saechiew, M. (2005). An evaluation of research performance for different subject categories using impact factor point average (IFPA) index: Thailand case study. Scientometrics, 65, 293–305.
Sueyoshi, T. (1998). Privatization of Nippon Telegraph and Telephone: was it a good policy decision? European Journal of Operational Research, 107, 45–61.
Sueyoshi, T., & Aoki, S. (2001). A use of a nonparametric statistic for DEA frontier shift: the Kruskal and Wallis rank test. Omega, 29, 1–18.
Sueyoshi, T., & Sekitani, K. (2009). DEA congestion and returns to scale under an occurrence of multiple optimal projections. European Journal of Operational Research, 194, 592–607.
Thompson, R. G., Singleton, F. D., Jr., Thrall, R. M., & Smith, B. A. (1986). Comparative site evaluations for locating a high-energy physics lab in Texas. Interfaces, 16(6), 35–49.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Kao, C., Liu, ST. & Pao, HL. Assessing improvement in management research in Taiwan. Scientometrics 92, 75–87 (2012). https://doi.org/10.1007/s11192-012-0721-x
Received:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11192-012-0721-x