The Open UniversitySkip to content
 

Change prediction in innovative products to avoid emergency innovation

Eckert, C. M.; Keller, R. and Clarkson, P. J. (2011). Change prediction in innovative products to avoid emergency innovation. International Journal of Technology Management, 55(3/4) pp. 226–237.

Full text available as:
Full text not publicly available (Version of Record)
Due to publisher licensing restrictions, this file is not available for public download
Click here to request a copy from the OU Author.
DOI (Digital Object Identifier) Link: https://doi.org/10.1504/IJTM.2011.041949
Google Scholar: Look up in Google Scholar

Abstract

Bringing successful innovative products to the market is in many cases a balance between targeted innovation and the reuse of existing technology. If this integration fails designers also need to look for innovative solutions at the last minute to integrate new and old parts. To avoid this ‘emergency’ innovation, designers need to understand how different parts of a product are connected to each other and how changes to one component affect other components. This paper reports on a method to predict how change propagates through existing products to assess the risk of innovation. A product is represented as a square matrix and the pair wise dependencies between components are captured with likelihood and impact values, such that indirect risk can be calculated. Using various graphic representations of the structure of the product, designers can explore dependencies between components and avoid design choices that might force them to change highly connected parts.

Item Type: Journal Item
Copyright Holders: 2011 Inderscience Enterprises Ltd.
ISSN: 1741-5276
Project Funding Details:
Funded Project NameProject IDFunding Body
Not SetNot SetEPSRC (Engineering and Physical Sciences Research Council)
Keywords: engineering change; innovation; conceptual design.
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Engineering and Innovation
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Research Group: Design and Innovation
Item ID: 30537
Depositing User: Claudia Eckert
Date Deposited: 13 Dec 2011 16:53
Last Modified: 19 Dec 2017 11:12
URI: http://oro.open.ac.uk/id/eprint/30537
Share this page:

Metrics

Altmetrics from Altmetric

Citations from Dimensions

Actions (login may be required)

Policies | Disclaimer

© The Open University   contact the OU