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Collaboration Engineering for Innovation Design Processes using the Outcome-driven approach

ISSN
1530-1605
ISBN
978-0-7695-4282-9
Type
conference paper
Date Issued
2011-01-01
Author(s)
Leimeister, Jan Marco  
;
Krcmar, Helmut
;
Fähling, Jens
DOI
10.1109/HICSS.2011.109
Research Team
iw6-init
Abstract
For designing innovations companies need to consider both the market and technical view. Customers want to solve their individual problems, and companies need to understand these problems before they can design appropriate solutions. Consequently, this is an ongoing collaborative process including many different stakeholders. On this basis, we propose a repeatable collaboration process for designing innovations from an outcome-driven perspective. We therefore build on the seven layer model of collaboration and follow the design approach for collaboration processes. This paper describes the methodology by means of a real-world case at a company from the automotive industry. The one-day workshop at the company resulted in 565 ideas which were worked out in six project proposals, each solving a specific customer problem. Our research demonstrates that collaboration engineering can be applied to the outcome driven approach, and extends the outcome driven approach by collaboration aspects.
Language
English
Keywords
Collaboration Engineering for Innovation Design Processes using the Outcome-driven approach
CCC
HSG Classification
not classified
Refereed
Yes
Book title
Proceedings of the 44th Annual Hawaii International Conference on System Sciences
Publisher
IEEE Computer Society
Publisher place
Los Alamitos
Start page
1
End page
10
Event Title
2011 44th Hawaii International Conference on System Science (HICSS)
Event Location
Kauai, Hawaii USA
Event Date
04.-07.01.2011
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/94661
Subject(s)

information managemen...

Division(s)

IWI - Institute of In...

Eprints ID
220194
File(s)
Thumbnail Image

open.access

Name

JML_286.pdf

Size

749.21 KB

Format

Adobe PDF

Checksum (MD5)

f7c8d5840fde357da9a461be5880696f

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