Two generalized rational models for forecasting innovation diffusion

Skiadas, C

dc.contributor.author	Skiadas, C	en
dc.date.accessioned	2014-03-01T01:38:51Z
dc.date.available	2014-03-01T01:38:51Z
dc.date.issued	1985	en
dc.identifier.issn	00401625	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/22405
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-0021892033&partnerID=40&md5=3427997ed064c212e006cfd4c85d560e	en
dc.subject.other	ENGINEERING RESEARCH - Efficiency	en
dc.subject.other	PATENTS AND INVENTIONS - Diffusion	en
dc.subject.other	CHANGING CHARACTERISTICS	en
dc.subject.other	DIFFUSION COEFFICIENT B	en
dc.subject.other	INNOVATION DIFFUSION PROCESS	en
dc.subject.other	TECHNOLOGICAL FORECASTING	en
dc.title	Two generalized rational models for forecasting innovation diffusion	en
heal.type	journalArticle	en
heal.publicationDate	1985	en
heal.abstract	This article demonstrates the development and use of two Generalized Rational Models I and II (GRM I and II) representing innovation diffusion. Specifically, the GRM II covers the same area as the NSRL model, which includes the Coleman and the Blackman/Fisher-Pry models, while the GRM I covers the same area as a modified NSRL model (mod. NSRL), also introduced hereby, and including Floyd, Blackman/Fisher-Pry, Sharif-Kabir and Exponential models. Both the GRM I and the GRM II provide a form of differential equation which always has for a solution a fact which cannot be met when dealing with the NSRL and mod. NSRL models. Some applications are presented, first to illustrate the wide applicability and the usefulness of the models and second to demonstrate the alternate use of the GRM I and mod. NSRL, and GRM II and NSRL models, which usually approximate very well. © 1985.	en
heal.journalName	Technological Forecasting and Social Change	en
dc.identifier.volume	27	en
dc.identifier.issue	1	en
dc.identifier.spage	39	en
dc.identifier.epage	61	en