Ranking journals in business and management: a statistical analysis of the Harzing data set

Creating rankings of academic journals is an important but contentious issue. It is of especial interest in the UK at this time (late 2005) as we are only two years away from the submission date for the next Research Assessment Exercise (RAE) the importance of which, for UK universities, can hardly be overstated. The purpose of this paper is to present a journal ranking for business and management based on a statistical analysis of the Harzing dataset (Harzing, 2005). The primary aim of the analysis is two-fold – to investigate relationships between the different rankings, including that between peer rankings and citation behaviour; and to develop a ranking based on four groups that could be useful for the RAE. Looking at the different rankings, the main conclusions are that there is in general a high degree of conformity between them as shown by a principal components analysis. Cluster analysis is used to create four groups of journals relevant to the RAE. The higher groups are found to correspond well with previous studies of top management journals and also gave, unlike them, equal coverage to all the management disciplines. The RAE Business and Management panel have a huge and unenviable task in trying to judge the quality of over 10,000 publications and they will inevitable have to resort to some standard mechanistic procedures to do so. This work will hopefully contribute by producing a ranking based on a statistical analysis of a variety of measures.