Modeling and Forecasting Diffusion

Nigel Meade and Towhidul Islam
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Nigel Meade: Imperial College Business School, UK

Chapter 12 in Gaining Momentum:Managing the Diffusion of Innovations, 2010, pp 373-426 from World Scientific Publishing Co. Pte. Ltd.

Abstract: AbstractThe following sections are included:IntroductionThe Diffusion of a Single Innovation in a Single MarketThe use of explanatory variables in the diffusion modelEstimation issues in single diffusion modelsEstimation of the Bass modelUse of diffusion models with little or no dataModeling constrained diffusionModeling diffusion and replacementModeling the diffusion of multiple subcategoriesModel selection and forecastingStudies of comparative forecasting accuracyUse of prediction intervalsApplicationsModeling of Diffusion Across Several CountriesEstimation and model choice in multinational diffusion modelsApplicationsModeling of Diffusion Across Several Generations of TechnologyUse of explanatory variables in multi-generation modelsMulti-technology modelsConclusions and Likely Further ResearchReferencesAppendix: An Annotated List of S-Shaped Diffusion ModelsModels for Cumulative AdoptionBass modelCumulative log-normal modelCumulative normal modelGompertz modelLog-reciprocal modelLogistic modelModified exponential modelWeibull modelLinearized Trend and Nonlinear Autoregressive ModelsHarvey modelFloyd modelSharif–Kabir modelKKKI modelSBB model

Keywords: Innovation; Diffusion; Product Development; Product Marketing (search for similar items in EconPapers)
Date: 2010
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