I. Introduction: The Least Squares method of estimation of parameters of linear (regression) models performs well provided that the residuals (disturbances or errors) are well behaved (preferably normally or near-normally distributed and not infested with large size outliers) and follow Gauss-Markov assumptions. However, models with the disturbances that are prominently non-normally distributed...

This study examines the effects of organizational flatness, coordination (cross-functional coordination, cross-plant coordination and supply chain coordination) and product modularity on mass customization capability (MCC) development. We develop a flatness-coordination-modularity-MCC model. Data from 317 firms located in ten countries across three industries are analyzed to test the research m...