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An empirical Investigation of Maturity Levels in Knowledge Management

机译:知识管理成熟度水平的实证研究

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The purpose of this paper is to analyse if knowledge management maturity models can be applied in corporate practice. So far, empirical studies have mainly examined the influence of knowledge management (KM) on innovation and have identified KM success factors. The underlying assumption is that more KM leads to more innovation and an improved corporate success. Therefore, a thorough KM application is recommended. Little attention has been paid to the question which level of KM application is effective and efficient for a company. This paper tries to close this gap using the concept of KM maturity. It investigates if different KM maturity levels can be identified in corporate practice and in how far they are influenced by specific factors, e.g. company size. To answer the research questions, exploratory case studies were conducted through semi?structured qualitative interviews with representatives from ten northern German companies.The results show that the practical applicability of KM maturity models (KMMM) is still limited. None of the companies can be categorized to have a high KM maturity level despite their multiple use of KM tools. As influence factors the size of a company and an externally certified quality management were identified. To validate these findings an additional online survey was conducted with 79 participants. The results of this survey support the general statements above, but also show a significant relation with the KMM level and employees? participation in knowledge management and the innovation success of a company compared to its main competitor. The paper contributes to the understanding of KM maturity and its influence factors and thus provides the foundation for further empirical research. Moreover, the findings help organisations to position their KM efforts.??.
机译:本文的目的是分析知识管理成熟度模型是否可以应用于公司实践中。到目前为止,实证研究主要检查了知识管理(KM)对创新的影响,并确定了KM成功的因素。基本的假设是,更多的知识管理会导致更多的创新并提高企业的成功率。因此,建议使用全面的KM应用程序。对于公司,哪种KM应用水平有效是很少的问题。本文尝试使用KM成熟度的概念来弥补这一差距。它调查了在公司实践中是否可以识别出不同的KM成熟度水平以及它们受特定因素(例如公司规模。为了回答研究问题,通过半结构化定性访谈与来自德国北部十家公司的代表进行了探索性案例研究。结果表明,KM成熟度模型(KMMM)的实际适用性仍然有限。尽管他们多次使用KM工具,但没有一家公司可以归类为具有较高KM成熟度的公司。作为影响因素,确定了公司的规模和外部认证的质量管理。为了验证这些发现,对79位参与者进行了另外的在线调查。该调查的结果支持上述一般说明,但也显示出与KMM级别和员工之间的重要关系。与主要竞争对手相比,参与知识管理和公司的创新成功。本文有助于对KM成熟度及其影响因素的理解,从而为进一步的实证研究提供基础。而且,这些发现有助于组织确定其KM工作的位置。

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