This study focuses on market orientation in family-owned firms. Market orientation is influenced by organizational characteristics and is at the same time a key antecedent of innovation. Since the generation in control largely shapes the family firm’s organization, the authors examine the relationships between the generation in control, market orientation, and innovation. Using regression analysis, the study demonstrates that later generations show a lower level of market-oriented behavior, that the positive relationship between market orientation and innovation is maintained in a family firm sample, and that the generation in control influences innovation through its influence on market orientation.
Different statistical process control (SPC) approaches were proposed over the years for project management using earned value management/earned schedule. A detailed examination of these approaches has led us to express a need for a unified framework in which to test and compare them. The main drivers for this need were the lack of a formal definition for a state of control, the unavailability of a benchmark dataset, the absence of measures to quantify the SPC performance and the lack of consensus on how to overcome and test the normality assumption. In this paper, we present such a framework that combines a classification from empirical data, a known project dataset, a sound simulation model and two quantitative measures for project control efficiency. Four SPC approaches from prior literature have been implemented and an exhaustive experiment was set up to compare and to discuss their value for the project management practice.
Dominicy, Yves; Ilmonen, Pauliina; Veredas, David (2017)
We propose two classes of semi-parametric estimators for the tail index of a regular varying elliptical random vector. The first one is based on the distance between a tail probability contour and the observations outside this contour. We denote it as the class of separating estimators. The second one is based on the norm of an arbitrary order. We denote it as the class of angular estimators. We show the asymptotic properties and the finite sample performances of both classes. We also illustrate the separating estimators with an empirical application to 21 worldwide financial market indexes.
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