options might be made and who has access to the decision-making process. For example, the World Bank follows certain procedures in its investment decisions, and adaptation projects in countries seeking World Bank support must satisfy Bank criteria before even being considered. The European Union also has

by their political group, although they believed that other individuals, especially their ideological adversaries, would be so influenced. The underappreciated role of social identity in persuasion is discussed. One of the most durable lessons in social psychology is the power of group influence. Yet, that lesson

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full access to such assets. Therefore, boundary decisions between two firms are modeled using access to knowledge and ownership of knowledge. Modeling boundary choices using ownership cannot provide optimal incentives since ownership affects incentives asymmetrically, and ownership can encourage over

that is consistent with, and flows from, the previously noted beginnings. In our 2002 article, we defined entrepreneurial cognitions to be: the knowledge structures that people use to make assessments, judgments or decisions involving opportunity evaluation and venture creation and growth (Mitchell, Busenitz et al

eliminate the endowment effect, and changing the order of queries can produce endowment-like effects without ownership. Keywords: decision making, preference construction, loss aversion, endowment effect The endowment effect The most common psychological characterization of the endowment effect is loss

of the signal complexity. In practice, this enables lower sampling rates that can be more easily achieved by current hardware designs. The primary bottleneck that limits ADC sam-pling rates is quantization, i.e., higher bit-depths impose lower sampling rates. Thus, the decreased sampling rates of CS ADCs

as to the properties of this breach classification boundary. We propose a constrained classifier, in the form of a parametric support vector machine, that allows us to incorporate expert knowledge into the shape of the decision boundary. We demonstrate the effectiveness of this technique with both a simulation study

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of con-cepts. This main goal is motivated by the basic fact, constituting also the main problem of KDD, that languages we may choose for knowledge description are incomplete. A fortiori, we have to describe concepts of interest (features, proper-ties, relations etc.) not completely but by means