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Title: Forecasting consumer adoption of technological innovation: choosing the appropriate diffusion models for new products and services before launch
Author (s): Calantone, Roger
Gentry, Lance
Department/Lab Affiliations: Business & Information Technology
Subject Terms: Consumer behavior.
Consumption (Economics).
Forecasting.
Marketing.
Issue Date: 2007
Publisher: Journal of Global Business Management
Citation: Gentry, Lance. Calantone, Roger. Forecasting Consumer Adoption of Technological Innovation: Choosing the Appropriate Diffusion Models for New Products and Services Before Launch, Journal of Global Business Management, Vol. 3, Number 2, 2007, pp. 136-146, 2007.
Abstract: There are many good articles on various forecasting models. There is consensus that no single diffusion model is best for every situation. Experts in the field have asked for studies to provide empirical-based guidelines for recommending when various models should be used. This research investigates multiple diffusion models and provides recommendations for which diffusion models are appropriate for radical and really new products and services before the launch of the innovation.
Type: Article - Journal
text
In Title: Journal of Global Business Management
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titleForecasting consumer adoption of technological innovation: choosing the appropriate diffusion models for new products and services before launch
contributor.authorCalantone, Roger
contributor.authorGentry, Lance
contributor.deptlabBusiness & Information Technology
subject.LCSHConsumer behavior.
subject.LCSHConsumption (Economics).
subject.LCSHForecasting.
subject.LCSHMarketing.
date.issued2007
publisherJournal of Global Business Management
identifier.citationGentry, Lance. Calantone, Roger. Forecasting Consumer Adoption of Technological Innovation: Choosing the Appropriate Diffusion Models for New Products and Services Before Launch, Journal of Global Business Management, Vol. 3, Number 2, 2007, pp. 136-146, 2007.
description.abstractThere are many good articles on various forecasting models. There is consensus that no single diffusion model is best for every situation. Experts in the field have asked for studies to provide empirical-based guidelines for recommending when various models should be used. This research investigates multiple diffusion models and provides recommendations for which diffusion models are appropriate for radical and really new products and services before the launch of the innovation.
typeArticle - Journal
type.DCMITypetext
type.statusPostprint
relation.isPartOfJournal of Global Business Management
rightsPolicy unknown.
rightsThis material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
rights.URI
http://www.jgbm.org/
date.accessioned2008-06-17T21:54:06Z
date.available2008-06-25T20:44:10Z
identifier.persist.URI
http://scholarsmine.mst.edu/post_prints/ForecastingConsumerAdoptionOf_09007dcc8051e681.html
Full Text
GentryCallantone_09007dcc8055c6c0.pdf