How journal rankings can suppress interdisciplinary research: A comparison between Innovation Studies and Business & Management

By Ismael Rafols, Loet Leydesdorff, Alice O'Hare, Paul Nightingale, Andrew Stirling. 2012

221 citations recorded by the source corpus.

This study provides quantitative evidence on how the use of journal rankings can disadvantage interdisciplinary research in research evaluations. Using publication and citation data, it compares the degree of interdisciplinarity and the research performance of a number of Innovation Studies units with that of leading Business & Management Schools (BMS) in the UK. On the basis of various mappings and metrics, this study shows that: (i) Innovation Studies units are consistently more interdisciplinary in their research than Business & Management Schools; (ii) the top journals in the Association of Business Schools’ rankings span a less diverse set of disciplines than lower-ranked journals; (iii) this results in a more favourable assessment of the performance of Business & Management Schools, which are more disciplinary-focused. This citation-based analysis challenges the journal ranking-based assessment. In short, the investigation illustrates how ostensibly ‘excellence-based’ journal rankings exhibit a systematic bias in favour of mono-disciplinary research. The paper concludes with a discussion of implications of these phenomena, in particular how the bias is likely to affect negatively the evaluation and associated financial resourcing of interdisciplinary research organisations, and may result in researchers becoming more compliant with disciplinary authority over time.

Subfields: Information Systems and Management, Statistics and Probability, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/d318b4e06ea3eca5d1473927e742b8f9d9d8186c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Information Systems and Management

  1. Loet Leydesdorff
  2. John C. Mingers
  3. Candice Howarth
  4. I. Monasterolo

In Statistics and Probability

  1. John C. Mingers
  2. Loet Leydesdorff
  3. Grit Laudel
  4. Chaomei Chen
  5. Ismael Rafols
  6. Judit Bar-Ilan
  7. Saif M. Mohammad
  8. José M. Merigó

In Strategy and Management

  1. R. Whitley
  2. Loet Leydesdorff
  3. John C. Mingers
  4. Grit Laudel
  5. Inga A. Ivanova
  6. Henry Etzkowitz
  7. Elias G. Carayannis
  8. Jasper J. Hotho

Citations in the corpus