Identifying research fields within business and management: a journal cross-citation analysis

A discipline such as business and management (B&M) is very broad and has many fields within it, ranging from fairly scientific ones such as management science or economics to softer ones such as information systems. There are at least three reasons why it is important to identify these sub-field...

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Vydáno v:The Journal of the Operational Research Society Ročník 66; číslo 8; s. 1370 - 1384
Hlavní autoři: Mingers, John, Leydesdorff, Loet
Médium: Journal Article
Jazyk:angličtina
Vydáno: London Taylor & Francis 01.08.2015
Palgrave Macmillan
Palgrave Macmillan UK
Taylor & Francis Ltd
Témata:
Academic disciplines
Bibliometrics
Business and Management
Business schools
Citation indexes
Classification
cross-citations
factor analysis
General Paper
General Papers
Information systems
Management
Management science
Operations research
Operations Research/Decision Theory
Peer review
Ratings & rankings
Scholarly publishing
Science
Social sciences
Studies
subject fields
cross-citations
subject fields
factor analysis
business and management
ISSN:0160-5682, 1476-9360
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Popis
Shrnutí:A discipline such as business and management (B&M) is very broad and has many fields within it, ranging from fairly scientific ones such as management science or economics to softer ones such as information systems. There are at least three reasons why it is important to identify these sub-fields accurately. First, to give insight into the structure of the subject area and identify perhaps unrecognised commonalities; second, for the purpose of normalising citation data as it is well-known that citation rates vary significantly between different disciplines. And third, because journal rankings and lists tend to split their classifications into different subjects-for example, the Association of Business Schools list, which is a standard in the UK, has 22 different fields. Unfortunately, at the moment these are created in an ad-hoc manner with no underlying rigour. The purpose of this paper is to identify possible sub-fields in B&M rigorously based on actual citation patterns. We have examined 450 journals in B&M, which are included in the ISI Web of Science and analysed the cross-citation rates between them enabling us to generate sets of coherent and consistent sub-fields that minimise the extent to which journals appear in several categories. Implications and limitations of the analysis are discussed.
Bibliografie:SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 14
ISSN:0160-5682
1476-9360
DOI:10.1057/jors.2014.113