Knowledge Transfer and Boundary Objects: An Ecological View of the Research Center

Knowledge Transfer and Boundary Objects: An Ecological View of the Research Center

Eya Hamza, Wafa Bouaynaya
Copyright: © 2022 |Pages: 12
DOI: 10.4018/IJKBO.295078
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Abstract

In the last decade, Knowledge management (KM) has evolved to face new threats and challenges. It has been reorganized to facilitate information access. However, the excess of information may affect the understanding and induce the loss of information. Consequently, many scientific projects conflict are unfinished or poorly completed. For this reason, developing a collaborative KM based on transfer knowledge could be an excellent solution to face a specific problem in a scientific field. This article gives us many tools that could be used specifically in a research center and adapted in many scientific areas. The authors first define each main actor contributing to Knowledge sharing in a research center through a design science research approach. Then, they propose how a problem could be managed using the knowledge-sharing creation process. Finally, they summarize steps that could be used to implement collaborative knowledge management.
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Introduction

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.

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