In this doctoral thesis the use of bibliometric methodologies in research quality performance assessment methodologies for interdisciplinary academic environments are presented. Our proposed research studies are mainly focused on quantitative and hybrid research performance methodologies for research output assessment, at the level of the academic departments/research groups, individual researchers and journals. A generalised research evaluation framework that examines different organizational levels (multiversity, university, department, researchers and publications) and characteristics (efficacy, efficiency, effectiveness) based on the standards set by the Higher Educational Funding Council for England (HEFCE) and Research Excellence Framework (REF) for research quality performance evaluation is proposed. Important quantitative indicators of scientific impact related to the international scientific influence of a publication are considered, such as the number of citations a publication receives and the SOijrce of the citations. A comparison of Ooogle Scholar (OS) and Web of Science (WoS) online citation databases is presented, to investigate the extent t? which WoS and OS record research outputs and citations in the fields of business and management, and to discover whether there are any particular patterns in their coverage. It was found that WoS picks up less than half of the journals, papers and citations found by OS. Moreover, the results differ significantly between subject areas within business and management making it difficult to compare departments or individuals that might have different subject mixes. At the departmental/institutional level, we measure citation rates that can differ significantly between different subject areas, especially within the fields of business and management by applying a set of normalization methodologies for research evaluation. One of the most widely used approaches for departmental evaluation called the Leiden Methodology, which uses normalization techniques for subject field and time, is tested in the fields of business, economics and management, for the first time in the open scientific literature. The obtained results showed that the LM normalised indices reveal more than the basic citation scores and give a better picture of the differences between the schools or the standing of the schools. Although the LM is a good idea in principle, it was found that is not suitable for evaluating the performance of departments in business and management.
Identifer | oai:union.ndltd.org:bl.uk/oai:ethos.bl.uk:651277 |
Date | January 2013 |
Creators | Lipitakis, Evangelia A. E. C. G. |
Publisher | University of Kent |
Source Sets | Ethos UK |
Detected Language | English |
Type | Electronic Thesis or Dissertation |
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