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Title: The forecasting classification grid: a typology for method selection
Author (s): Calantone, Roger
Cui, Shaojie
Gentry, Lance
Department/Lab Affiliations: Business & Information Technology
Keywords: Dynamic predictive models
Intuitive forecasts
Trend extrapolation
coding schemes
Issue Date: 2006
Publisher: Journal of Global Business Management
Citation: Lance Gentry , Roger Calantone, Shaojie Cui THE FORECASTING CLASSIFICATION GRID: A Typology for Method Selection, The Journal of Global Business Management, Vol. 2, 2006, pp. 48-60, 2006.
Abstract: Given the large variety of forecasting methods, researchers have developed different ways of classifying these methods. However, none of these methods meet the criteria of a good typology, i.e. concise, exclusive and exhaustive. Based on a review of the current classification methods, the paper proposes a forecasting classification grid based on two distinct dimensions, i.e. judgmental opinions and empirically evaluated ideas, and naive and causal forecasting. Being concise, exclusive and exhaustive, this new classification method provides a systematic way to organize different forecasting methods.
Type: Article
text
In Title: The Journal of Global Business Management
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titleThe forecasting classification grid: a typology for method selection
contributor.authorCalantone, Roger
contributor.authorCui, Shaojie
contributor.authorGentry, Lance
contributor.deptlabBusiness & Information Technology
subjectDynamic predictive models
subjectIntuitive forecasts
subjectTrend extrapolation
subjectcoding schemes
date.issued2006
publisherJournal of Global Business Management
identifier.citationLance Gentry , Roger Calantone, Shaojie Cui THE FORECASTING CLASSIFICATION GRID: A Typology for Method Selection, The Journal of Global Business Management, Vol. 2, 2006, pp. 48-60, 2006.
description.abstractGiven the large variety of forecasting methods, researchers have developed different ways of classifying these methods. However, none of these methods meet the criteria of a good typology, i.e. concise, exclusive and exhaustive. Based on a review of the current classification methods, the paper proposes a forecasting classification grid based on two distinct dimensions, i.e. judgmental opinions and empirically evaluated ideas, and naive and causal forecasting. Being concise, exclusive and exhaustive, this new classification method provides a systematic way to organize different forecasting methods.
typeArticle
type.DCMITypetext
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/
relation.isPartOfThe Journal of Global Business Management
date.accessioned2008-06-19T21:05:35Z
date.available2008-06-27T14:31:47Z
identifier.persist.URI
http://scholarsmine.mst.edu/post_prints/TheForecastingClassificationGrid_09007dcc80521ab1.html