TWO SIMPLE MODELS FOR THE EARLY AND MIDDLE STAGE PREDICTION OF INNOVATION DIFFUSION.

Skiadas Christos, H

dc.contributor.author	Skiadas Christos, H	en
dc.date.accessioned	2014-03-01T01:06:43Z
dc.date.available	2014-03-01T01:06:43Z
dc.date.issued	1987	en
dc.identifier.issn	0018-9391	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/9582
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-0023346656&partnerID=40&md5=7e32983c308b4eb325e6935d746fe9bd	en
dc.subject.classification	Business	en
dc.subject.classification	Engineering, Industrial	en
dc.subject.classification	Management	en
dc.subject.other	MATHEMATICAL MODELS	en
dc.subject.other	STATISTICAL METHODS - Regression Analysis	en
dc.subject.other	EARLY MIDDLE STAGE PREDICTIONS	en
dc.subject.other	GENERALIZED RATIONAL MODELS	en
dc.subject.other	TECHNOLOGICAL INNOVATION DIFFUSION MODELS	en
dc.subject.other	TECHNOLOGICAL FORECASTING	en
dc.title	TWO SIMPLE MODELS FOR THE EARLY AND MIDDLE STAGE PREDICTION OF INNOVATION DIFFUSION.	en
heal.type	journalArticle	en
heal.language	English	en
heal.publicationDate	1987	en
heal.abstract	Predictions based on early-stage and middle-stage data are improved by the introduction of two innovation diffusion models. Both models arise from generalized rational models (GRM) and may be useful for early- and middle-stage predictions because they do not include a parameter expressing the upper limit. The properties of these models are studied and the methodology used in the nonlinear regression analysis techniques is discussed. Two applications of the proposed models on time-series data selected from the technological innovation diffusion are indicate the usefulness of these models. Finally, an extension of one of the models and a comparative application is presented.	en
heal.publisher	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC	en
heal.journalName	IEEE Transactions on Engineering Management	en
dc.identifier.isi	ISI:A1987H524600004	en
dc.identifier.volume	EM-34	en
dc.identifier.issue	2	en
dc.identifier.spage	79	en
dc.identifier.epage	84	en