Characterising and Segmenting the Business-to-Consumer E-Commerce Market Using Neural Networks

摘要: AbstractThe following sections are included:IntroductionThe latent dimensions underlying the Internet users' opinions of online shoppingDescription data used in this studyFactor analysis rationale and methodologyFactor results their interpretationSummaryPrediction propensity to buy from channelVariable selectionQuantitative prediction purchasing behaviourSummarySegmentation e-commerce consumer marketDescription dataThe GTM as a principled model for visualization market segmentationExperimentsConclusionsReferences