Market segmentation increasingly uses homogeneous groups of consumers determined on the basis of empirical market data as target segments (a posteriori-, data-driven-, post hoc segmentation) rather than splitting individuals according to single, typically socio-demographic or geographic, criteria (a priori-, commen sense segmentation). A vast amount of contributions has been made to improve met...

The recent literature on oligopolistic third-degree price discrimination has been primarily concerned with rival firms' incentives to acquire customer-specific information and the consequences of such information on firm profitability and welfare. This literature has taken mostly a static view of the interaction between competing firms. In contrast, in this paper we investigate the impact of cu...

Background: Accurate brain tissue segmentation from magnetic resonance (MR) images is an important step in analysis of cerebral images. There are software packages which are used for brain segmentation. These packages usually contain a set of skull stripping, intensity non-uniformity (bias) correction and segmentation routines. Thus, assessment of the quality of the segmented gray matter (GM), ...

A computer simulation study is conducted to explore the interaction of alternative segmentation strategies and the competitiveness of the market environment, a goal that can neither be tackled by purely analytic approaches as there is neither sufficient and undistorted real market data available to deduct findings in an empirical manner. The fundamental idea of the simulation is to increase com...

Prior research into the link between new product development and market segmentation has focused on two main approaches: (1) design, segment, and do limited competitive evaluation; and (2) segment first, design second. This paper proposes a third approach, which is to simultaneously design, perform segmentation according to benefit and to evaluate against competitive designs. This research uses...