A holistic model for inter-plant knowledge transfer within an international manufacturing network
Artikel i vetenskaplig tidskrift, 2018

urpose
 
This paper aims to provide a holistic view to support the choice of appropriate strategy for conducting a knowledge transfer (KT) project in an international manufacturing network (IMN) environment. It proposes a model that includes multiple aspects of a KT project along with guidelines on each aspect.
Design/methodology/approach
 
To achieve the research goals, multiple case study method was adopted. Data have been collected by conducting semi-structured interviews regarding five KT projects in three multinational corporations. Data were triangulated by means of comparisons to complementary data acquired through observations and archival documents.
Findings
 
The results of this paper detail the key issues of five KT projects. Furthermore, the paper proposes an aggregated model comprising the main aspects and strategies for a KT project within an IMN.
Research limitations/implications
 
Despite the abundant research on KT area, not many research projects provide holistic views on KT process. The focus has rather been sectional and concentrated on each specific aspect within the KT.
Practical implications
 
The paper guides practitioners to identify multiple aspects in KT that will eventually increase the odds for successfully performing such projects.
Originality/value
 
The proposed learning network model improves the performance of KT projects by providing a holistic view including several factors that the organization should emphasize to succeed with inter-plant KT.

Knowledge transfer

Knowledge management

Knowledge driven organizations

Engineering

International manufacturing network

Författare

Farhad Noruzi

Mälardalens högskola

Daniel Stenholm

Chalmers, Industri- och materialvetenskap, Produktutveckling

Peter Sjögren

Mälardalens högskola

Dag Henrik Bergsjö

Chalmers, Industri- och materialvetenskap, Produktutveckling

Journal of Knowledge Management

1367-3270 (ISSN)

Ämneskategorier

Maskinteknik

Företagsekonomi

Styrkeområden

Produktion

DOI

10.1108/JKM-10-2017-0473