Estimation of Taylor's power law for species abundance data may be performed by linear regression of the log empirical variances on the log means, but this method suffers from a problem of bias for sparse data. We show that the bias may be reduced by using a bias-corrected Pearson estimating...

We introduce a class of multivariate dispersion models suitable as error distributions for generalized linear models with multivariate non-normal responses. The models preserve some of the main properties of the multivariate normal distribution, and include the elliptically contoured...

Purpose: The complexity of manufacturing systems, on-going production and existing constraints on the shop floor remain among the main challenges for the analysis, design and development of the models in product, process and factory domains. The potential of different virtual factory (VF) tools...

This book constitutes the proceedings of the 16th International Conference on Perspectives in Business Informatics Research, BIR 2017, held in Copenhagen, Denmark, in August 2017. This year the BIR conference attracted 59 submissions from 23 countries. They were reviewed by 45 members of the...

Purpose The purpose of this paper is to explore the fit between process standardization and international management strategy of multinational corporations (MNCs) by assessing the compatibility between process standardization and corporate structural characteristics in terms of asset...

In their struggle for operational excellence, global companies face challenges in finding a common denominator to streamline and align supply chain operations across business units. The ever growing complexity of managing global flows of products, information and capital increases the risk of...

Purpose – The purpose of this paper is to frame next‐generation enterprise systems (ES). Design/methodology/approach – The model is based on a retrospective analysis of the evolution of enterprise systems, enterprise resource planning (ERP) research and emerging business requirements....