Abstract

Knowledge Management (KM) research outputs have been expanding exponentially in the past years, generating diversified topics, which lack integration and classification. It has been challenging for experts to classify KM because of its versatile open fields, and in our view, it contributes to the technocratic approach remaining behind the organizational approach. This paper highlights a way to classify KM publications through a pattern that will support technocratic developments representing knowledge in a more explicit form. This study uses a classification method that uses a template in a taxonomy shape, executing some procedures and allowing an accurate identification and organization of KM research outputs. The proposed taxonomy method is proven on a set of 150 different KM publications from the last 15 years. This scheme is grouped into two main categories: Conceptual and Empirical which could enable academics and practitioners alike to better understand the current gaps that are prevalent in KM.

摘要

知识管理（KM）的研究成果在过去几年中呈指数增长，产生了多种主题，缺乏整合和分类。由于知识管理具有广泛的开放领域，因此对专家进行分类一直是一项挑战，我们认为，它有助于技术官僚主义方法落后于组织方法。本文重点介绍了一种通过一种模式来对KM出版物进行分类的方法，该模式将支持以官僚主义方式发展，以更明确的形式代表知识。本研究使用分类方法，该方法使用分类学形状的模板，执行一些程序，并可以准确识别和组织KM研究成果。最近的15种不同的KM出版物中有150种证明了拟议的分类法 年份。该方案分为两大类：概念性和经验性，可以使学者和从业者更好地了解KM中当前存在的差距。