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Knowledge management approaches of small and medium-sized firms: a cluster analysis

机译:中小企业知识管理方法:集群分析

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Purpose This paper aims to categorise the approaches to knowledge management (KM) by companies. In the literature, there is no consensus on a universal or "best" approach to KM. Especially, this paper singles out and discusses the variegated features that characterise the implementation of KM by small- and medium-sized enterprises (SMEs) having different characteristics. Design/methodology/approach A cluster analysis was used to detect the possible distinct traits of companies that have different approaches to KM. The unit of analysis is represented by small- and medium-sized knowledge intensive business services (KIBS) firms. Data were collected by means of an extensive survey of 223 companies in different European countries and sectors. Findings Three clusters were identified: Companies showing a relative "unconscious" attention to KM and implementing KM practices without particular awareness; Companies adopting a more conscious approach and using a significant number of KM practices; and companies with a marginal propensity towards KM.
机译:目的本文旨在将公司的知识管理方法(KM)分类为由公司对其进行分类。在文献中,对KM的普遍或“最佳”方法没有共识。特别是,本文单打出来并讨论了具有不同特征的小型和中型企业(中小企业)的vigiegated特征。设计/方法/方法使用集群分析来检测具有不同方法的公司可能的不同特征。分析单位由小型和中型知识密集型商业服务(KIBS)公司表示。通过对不同欧洲国家和部门的223家公司进行广泛调查的数据收集。调查结果已经确定了三个集群:展示了一个相对“无意识”关注的知识并在没有特别意识的情况下实施KM实践;公司采用更具意识的方法,并使用大量的KM实践;和利用边际倾向的公司。

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