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  4. Trends and determinants of managing virtual R&D teams
 
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Trends and determinants of managing virtual R&D teams

Journal
R & D Management
ISSN
0033-6807
ISSN-Digital
1467-9310
Type
journal article
Date Issued
2003-06-01
Author(s)
Gassmann, Oliver  
von Zedtwitz, Maximilian  
DOI
10.1111/1467-9310.00296
Abstract
The past years have seen a decentralization of R&D to local markets and centres-of-excellence. Supported by modern information and communication technologies, ‘virtual project teams' were formed to facilitate transnational innovation processes. With their boundaries expanding and shrinking flexibly with changing project necessities, virtual teams are believed to be an important element in future R&D organization. Based on 204 interviews with R&D directors and project managers in 37 technology-intensive multinational companies we identify four distinct forms of virtual team organizations used to execute R&D projects across multiple locations. Ordered by increasing degree of central project coordination, these four team concepts are based on: (1) decentralized self-organization, (2) a system integrator as a coordinator, (3) a core team as a system architect, and (4) a centralized venture team. Our contingency approach for organizing a transnational R&D project is based on four principal determinants: (1) the type of innovation (radical/incremental), (2) the systemic nature of the project (systemic/autonomous), (3) the mode of knowledge involved (tacit/explicit), and (4) the degree of resource bundling (complementary/redundant). According to our analysis, the success of virtual teams depends on the appropriate consideration of these determinants.
Language
English
HSG Classification
contribution to scientific community
Refereed
Yes
Publisher
Wiley-Blackwell
Publisher place
Oxford
Volume
33
Number
3
Start page
243
End page
261
Pages
19
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/69554
Subject(s)

business studies

Division(s)

ITEM - Institute of T...

Eprints ID
494
File(s)
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open.access

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von Zedtwitz and Gassmann, 2003, R&D MGNT.pdf

Size

567.59 KB

Format

Adobe PDF

Checksum (MD5)

4b30d6897b12f05833e56003ccf9caab

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