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

机译:识别业务和管理中的研究领域:期刊交叉引文分析

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摘要

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.
机译:商业与管理(B&M)等学科非常广泛,并且其中涉及许多领域,从诸如管理科学或经济学等相当科学的学科到诸如信息系统等较软的学科。准确识别这些子字段很重要的原因至少有三个。首先,要深入了解主题领域的结构,并找出可能无法识别的共同点;第二,出于规范引用数据的目的,众所周知,不同学科之间的引用率差异很大。第三,因为期刊排名和列表倾向于将其分类划分为不同的主题,例如,英国的标准商学院协会列表具有22个不同的领域。不幸的是,目前这些都是临时创建的,没有任何底层的严格性。本文的目的是根据实际引用模式严格识别B&M中可能存在的子字段。我们检查了B&M中的450种期刊,这些期刊包含在ISI Web of Science中,并分析了它们之间的交叉引用率,这使我们能够生成一组连贯且一致的子字段,以最小化期刊在多个类别中出现的程度。讨论了分析的含义和局限性。

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