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

South African Journal of Economic and Management Sciences

 
 
Field Value
 
Title Refining the classification of knowledge transfer mechanisms for project-to-project knowledge sharing
 
Creator Van Waveren, Corro Oerlemans, Leon Pretorius, Tinus
 
Subject — knowledge transfer; mechanism categories; latent class analysis
Description 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.
 
Publisher AOSIS Publishing
 
Contributor
Date 2017-10-05
 
Type info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion — —
Format text/html application/epub+zip application/xml application/pdf
Identifier 10.4102/sajems.v20i1.1642
 
Source South African Journal of Economic and Management Sciences; Vol 20, No 1 (2017); 16 pages 2222-3436 1015-8812
 
Language eng
 
Relation
The following web links (URLs) may trigger a file download or direct you to an alternative webpage to gain access to a publication file format of the published article:

https://sajems.org/index.php/sajems/article/view/1642/914 https://sajems.org/index.php/sajems/article/view/1642/913 https://sajems.org/index.php/sajems/article/view/1642/915 https://sajems.org/index.php/sajems/article/view/1642/907
 
Coverage — — M20, M11
Rights Copyright (c) 2017 Corro Van Waveren, Leon Oerlemans, Tinus Pretorius https://creativecommons.org/licenses/by/4.0
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