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Modeling Large-Scale Cross Effect In Co-Purchase Incidence: Comparing Artificial Neural Network Techniques And Multivariate Probit Modeling, Zhiguo Yang

Theses and Dissertations--Business Administration

This dissertation examines cross-category effects in consumer purchases from the big data and analytics perspectives. It uses data from Nielsen Consumer Panel and Scanner databases for its investigations. With big data analytics it becomes possible to examine the cross effects of many product categories on each other. The number of categories whose cross effects are studied is called category scale or just scale in this dissertation. The larger the category scale the higher the number of categories whose cross effects are studied. This dissertation extends research on models of cross effects by (1) examining the performance of MVP model across …