The purpose of this study is to compare the performances of Artificial Neural Networks (ANN) and Multinomial Probit (MNP) approaches in modeling the choice decision within fast moving consumer goods sector. To do this, based on 2597 toothpaste purchases of a panel sample of 404 households, choice models are built and their performances are compared on the 861 purchases of a test sample of 135 h...

Unobserved heterogeneity is a serious but often neglected problem in structural equation modelling (SEM) challenging the validity of many empirical results. Recently, a finite mixture approach to SEM has been proposed to resolve this problem but until now only a few studies analyse the performance of the relevant software. The contribution of this paper is twofold: First, results from a Monte C...

Reverse logistics is an area of growing academic concern, as reflected in the increase related literature from scholars around globe. The main objective this study was to find out effects reverse practices on performance FMCG firms Kenya . Specifically identify effect Product Recalls, Manufacturing Returns, Reuse, Recycling, Repackaging and influence Salvage scrap disposal Kenya. research desig...

We propose the group knockoff filter, a method for false discovery rate control in a linear regression setting where the features are grouped, and we would like to select a set of relevant groups which have a nonzero effect on the response. By considering the set of true and false discoveries at the group level, this method gains power relative to sparse regression methods. We also apply our me...

The idea of a sustainable newsvendor problem has been considered by some researchers recently; nonetheless, an inclusive multi-objective model including all sustainability pillars with multi-product supply chain not designed yet. In this paper, the is developed considering criteria to study two-stage procurement system. classic optimizing supplier-retailer payoff in research illustrate economic...