A hybrid-approach to model design and development processes and the evaluation of innovation opportunities
Francesca Montagna and
Maria Franca Norese
International Journal of Manufacturing Technology and Management, 2008, vol. 14, issue 3/4, 379-395
Abstract:
Complexity and uncertainty are crucial when product/process innovation contexts are concerned. These contexts must be deeply analysed to produce knowledge elements useful to reduce complexity and uncertainty and to manage innovative and unstructured situations. Firms need tools to acquire and structure these knowledge elements, and to propose them in communication contexts, as shared and operational models. The paper presents a hybrid-approach, which integrates problem identification and structuring methods and decision-aiding procedures. The role of this approach, its results, potentialities and limits are analysed in different decision contexts and through a recent application in a firm of the automotive industry.
Keywords: process modelling; performance indicators; decision support; complexity; uncertainty; product innovation; process innovation; automotive innovation; automobile industry. (search for similar items in EconPapers)
Date: 2008
References: Add references at CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.inderscience.com/link.php?id=17734 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ids:ijmtma:v:14:y:2008:i:3/4:p:379-395
Access Statistics for this article
More articles in International Journal of Manufacturing Technology and Management from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().