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Identifying Research Fields within Business and Management: A Journal Cross-Citation Analysis

Mingers, John, Leydesdorff, Loet (2014) Identifying Research Fields within Business and Management: A Journal Cross-Citation Analysis. Journal of the Operational Research Society, 66 (8). pp. 1370-1384. ISSN 0160-5682. E-ISSN 1476-9360. (doi:10.1057/jors.2014.113) (KAR id:44535)

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Official URL:
http://dx.doi.org/10.1057/jors.2014.113

Abstract

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. Firstly, to give insight into the structure of the subject area and identify perhaps unrecognised commonalities; second for the purpose of normalizing citation data as it is well known that citation rates vary significantly between different disciplines. And thirdly, because journal rankings and lists tend to split their classifications into different subjects – for example, the Association of Business Schools (ABS) 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 (WoS) 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.

Item Type: Article
DOI/Identification number: 10.1057/jors.2014.113
Uncontrolled keywords: subject fields, cross-citations, business and management, factor analysis
Subjects: H Social Sciences > HF Commerce > HF5351 Business
Divisions: Divisions > Kent Business School - Division > Department of Analytics, Operations and Systems
Depositing User: John Mingers
Date Deposited: 13 Nov 2014 16:52 UTC
Last Modified: 07 Oct 2021 14:26 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/44535 (The current URI for this page, for reference purposes)

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