Long-Run Forecasting of Emerging Technologies with Logistic Models and Growth of Knowledge

Simple item page
dc.contributor.authorKucharavy, D.
dc.contributor.authorSchenk, E.
dc.contributor.authorDe Guio, R.
dc.contributor.editorRajkumar Roy
dc.contributor.editorEssam Shehab
dc.date.accessioned2009-10-01T14:14:20Z
dc.date.available2009-10-01T14:14:20Z
dc.date.copyright2009
dc.date.issued2009-03-31
dc.descriptionOrganised by: Cranfield Universityen_UK
dc.description.abstractIn this paper applications of logistic S-curve and component logistics are considered in a framework of longterm forecasting of emerging technologies. Several questions and issues are discussed in connection with the presented ways of studying the transition from invention to innovation and further evolution of technologies. First, the features of a simple logistic model are presented and diverse types of competition are discussed. Second, a component logistic model is presented. Third, a hypothesis about the usability of a knowledge growth description and simulation for reliable long-term forecasting is proposed. Some interim empirical results for applying networks of contradictions are given.en_UK
dc.description.sponsorshipMori Seiki – The Machine Tool Companyen_UK
dc.identifier.citationD. Kucharavy, E. Schenk, R. De Guio, Long-Run Forecasting of Emerging Technologies with Logistic Models and Growth of Knowledge, Proceedings of the 19th CIRP Design Conference – Competitive Design, Cranfield University, 30-31 March 2009, pp277en_UK
dc.identifier.isbn978-0-9557436-4-1
dc.identifier.urihttp://hdl.handle.net/1826/3730
dc.language.isoenen_UK
dc.publisherCranfield University Pressen_UK
dc.relation.ispartofProceedings of the 19th CIRP Design Conference – Competitive Design
dc.rightsCopyright: Cranfield University 2009
dc.subjectComponent logistic modelen_UK
dc.subjectInnovation processen_UK
dc.subjectKnowledge acquisitionen_UK
dc.subjectOTSM-TRIZen_UK
dc.titleLong-Run Forecasting of Emerging Technologies with Logistic Models and Growth of Knowledgeen_UK
dc.typeConference paperen_UK

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Long-Run_Forecasting_of_Emerging_Technologies_with_Logistic_Models_and_Growth_of_Knowledge-2009.pdf
Size:
241.86 KB
Format:
Adobe Portable Document Format
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.88 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

19th CIRP Design Conference – Competitive Design, 2009