Refining the classification of knowledge transfer mechanisms for project-to-project knowledge sharing

Abstract

Background: The complex, unique and temporary nature of projects makes project-to-project knowledge transfer challenging and has attracted attention from both practitioners and academic scholars. This challenging nature of project-to-project knowledge transfer led to the proliferation of a host of tools and instruments (so-called knowledge transfer mechanisms) in which little structure can be discovered making selection by (project) managers a difficult task. Aim: This article aims to deal with this unstructured proliferation of knowledge transfer mechanisms by empirically categorising these transfer mechanisms, thereby reducing the number of mechanisms to groups that share a common characteristic. Setting: The study takes stock of the wide range of knowledge transfer mechanisms available and analyses them in terms of specific characteristics (e.g. explicitness or reach). Methods: A multi-method approach is used in which a multi-level latent class analysis is applied on data collected via an expert panel. Results: Five categories of transfer mechanisms could be empirically established where these mechanisms showed common characteristics. Conclusion: The taxonomy developed will allow organisations and project managers to more efficiently select appropriate transfer mechanisms for use in project-to-project knowledge transfer.

Keywords

• knowledge transfer
• mechanism categories
• latent class analysis