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This last decade, knowledge management (KM) has evolved and has faced new threats and challenges, such as new organizational resources to facilitate accessibility and information integration. However, the abundance or the emergence of KM has caused the loss of information, making some projects unfinished. For example, social networks are an exciting base for collecting information and therefore for generating customer knowledge. But the volume of this data creates an information overload, and Knowledge is drowned in this volume.
Although Design science is rarely used in information systems studies (Gregor, 2006), this method could be an excellent approach to developing collaborative KM to produce appropriate solutions to a specific problem in a research framework. Design science aims to build Knowledge that we can use to design solutions for field problems. We narrowed their analysis to research laboratories to develop specific solutions. This study analyzes the processes by which we can improve knowledge achievement and design solutions for a problem based on description, explanation, and prediction.
This article will propose solutions to implement collaborative KM in a laboratory through a design science research approach. The paper is divided into two parts. The first part concerns the theoretical background. We mobilized the theory of boundary objects to explain the role of each artifact in the construction of Knowledge. The second part involves the empirical study. In this part, we presented our research methodology, the implementation of the solution, and the expected impact for the research center.