Article OPEN
Ioana Alexandra HORODNIC (2014)
  • Journal: THE YEARBOOK OF THE “GH. ZANE” INSTITUTE OF ECONOMIC RESEARCHES, volume 23, issue 1, pages 5-17
  • Subject: ranking, measurement methods, academic performance, biliometrics, peer review

Evaluation of scientific research is crucial, however, although numerous studies have been conducted in this area, it is not easy to measure academic productivity/ performance. The most important perspective in measuring the productivity/ performance comes from the economic field, where it is the ratio between outputs and inputs for a particular product. This article aims to address the most important elements to be considered in the measurement of scientific research: types of indicators, qualitative/ quantitative respectively simple/ composite, level of measurement, micro, respectively macro indicators and the limits of those indicators. Also, this paper presents evidences regarding academic performance for Romanian university professors in economics and business administration from North – East Romania
  • References (51)
    51 references, page 1 of 6

    Carayol, N. and Matt, M. (2004). Does research organization influence academic production? Laboratory level evidence from a large European University. Research Policy , 33, 1081-1102.

    Chew, M., Villaneuva, E. V. and Van Der Weidon, M. B. (2007). Life and times of the impact factor: retrospective analysis of trends for seven medical journals (1994-2005) and their editor`s views.

    Journal of the Royal Society of Medicine , 100, 142-150.

    Combes, P. P. and Linnemer, L. (2003). Where are the Economists who Publish? Publication Concentration and Rankings in Europe based on Cumulative Publications. Jurnal of European Economic Association , 1, 1250-1308.

    Costas, R. and Bordons, M. (2005). Bibliometric indicators at the micro-level: some results in the aria of natural resurces at the Spanish CSIC. Research Evaluation , 14 (2), 110-120.

    Costas, R. and Bordons, M. (2007). The h-index: Advantages, limitations and its relation with other bibliometric indicators at the micro level. Journal of Informetrics , 1, 193-203.

    Costas, R., van Leeuwen, T. N. and Bordons, M. (2010). A bibliometric classificatory approach for the study an assessment of research performance at the individual level: the effects of age on productivity and impact. Centre for Science and Technology Studies - Working Papers Series , 1-32.

    Danell, R. and Hjerm, M. (2013). The importance of early academic career opportunities and gender differences in promotion rates. Research Evaluation, 22 (4), 210-214.

    Dietz, J. S., Chompalov, I., Bozeman, B., O`neil Lane, E. and Park, J. (2000). Using the curriculum vitae to study the career paths of scientist and engineers: an exploratory assessment. Scientometrics , 49 (3), 419-442.

    Dill, D. D. and Soo, M. (2005). Academic quality, league tables, and public policy: A cross-national analysis of universities ranking systems. Higher Education , 49, 495-533.

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