The Impeachment of President Clinton: An Ugly Mix of Three Powerful Forces

Popp argues that the 1998-99 impeachment debacle resulted in large part from an ugly mix of three extremely powerful forces--an independent counsel who abused his virtually unlimited power; extreme congressional partisanship that was motivated by the desire to gain control of the government; and media outlets that continuously sought to profit from the sensationalism of it all and consistently flouted standards of professional journalism along the way

The Impeachment of President Clinton: An Ugly Mix of Three Powerful Forces

Popp argues that the 1998-99 impeachment debacle resulted in large part from an ugly mix of three extremely powerful forces--an independent counsel who abused his virtually unlimited power; extreme congressional partisanship that was motivated by the desire to gain control of the government; and media outlets that continuously sought to profit from the sensationalism of it all and consistently flouted standards of professional journalism along the way

Efficient coalition formation and stable coalition structures in a supply chain environment

We study a real supply chain environment from which specific information and knowledge can be extrapolated for other similar environments. We focus our research on the analysis of the interactions between members forming different teams (and between the teams themselves), and on the leader’s management of the supply chain. We note that there are many elements that contribute to the profitability of the network, which is dependent on the actions of the actors involved. We analyze certain characteristics that the actors have, such as their behavior, adaptation and learning levels, effort and willingness. Based on these components, we examine the performance of our actors and of the teams that the actors form. We provide specific calculations that take into account most of the components determining the added value to the system. One of the advantages of our main formula is that it can be used to monitor the progress of the actors, as well as it can help in the identification of problematic aspects impeding in the creation of value for the system. Our formula is very flexible and a modeler is able to adapt it to similar environments, providing him with great insight in the structures that he investigates. We study certain theoretical games from which we uncover certain information and characteristics of similar environments and settings. Moreover, we provide a real life example in order to truly understand the mechanism of the network, and validate our theoretical assessments. Moreover, we provide certain recommendations for a leader that is responsible for the supervision of actors (which have specific responsibilities) and the administration of a supply chain environment.coalition, supply chain management, core, value of the game, Coalition Factor Estimation

The epistemic value of rationality

Models of rational choice use different definitions of rationality. However, there is no clear description of the latter. We recognize rationality as a conceptual conglomerate where reason, judgment, deliberation, relativity, behavior, experience, and pragmatism interact. Using our definition, the game theoretic idealized principle of rationality becomes absolute. Our model gives a more precise account of the players, of their true behavior. We show that the Rational Method (RM) is the only process that can be used to achieve a specific goal. We also provide schematics of how information, beliefs, knowledge, actions, and purposes interact with and influence each other in order to achieve a specific goal. Furthermore, ration, the ability to think in the RM framework, is a singularity in time and space. Having a unilateral definition of rationality, different models and theories have now a common ground on which we can judge their soundness.conceptual conglomerate, traditional rationality, rational method, ration

An understanding of influence on human behavior

We describe a candid model for learning, why and how learning transpires. We investigate the original as well as the leading conditions of the learning process. We provide an insight into the realm of beliefs and their formation, their interaction and influence with the actor’s environment. In addition, we provide to our terms (and terminology) real definitions, thus differentiating between nominal and real definitions. Having this approach, the same terminology can be employed by other models, theories or frameworks without creating ‘expert language’ barriers. Moreover, we provide an understanding of the influence that learning in general has on human behavior.conceptual conglomerate, learning, learning process, human behavior.

Industrial districts as organizational environments: resources, networks and structures

The paper combines economic and sociological perspectives on organizations in order to gain a better understanding of the forces shaping the structures of industrial districts (IDs) and the organizations of which they are constituted. To effect the combination , the resource based view (RBV) and resource dependency theory are combined to explain the evolution of different industry structures. The paper thus extends work by Toms and Filatotchev by spatializing consideration of resource distribution and resource dependence. The paper has important implications for conventional interpretations in the fields of business and organizational history and for the main areas of theory hitherto considered separately, particularly the Chandlerian model of corporate hierarchy as contrasted with the alternative of clusters of small firms coordinated by networks

Endogenizing Technological Change: Matching Empirical Evidence to Modeling Needs

Technologies to reduce significantly fossil-fuel emissions currently are unavailable or only available at high cost. In light of this, the amount of research on the pace, direction, and benefits of environmentally friendly technological change has grown dramatically in recent years. This research includes empirical estimates of these effects and modeling exercises designed to simulate endogenous technological change in response to climate policy. Unfortunately, few attempts have been made to connect these two streams of research. This paper attempts to bridge that gap, reviewing both the empirical and modeling literature on technological change. Our goal is to provide an agenda for how both empirical and modeling research in these areas can move forward in a complementary fashion. In doing so, we discuss how models used for policy evaluation can better capture empirical phenomena and how empirical research can better address the needs of models used for policy evaluation.endogenous technological change, climate change, CGE modeling

Endogenizing Technological Change: Matching Empirical Evidence to Modeling Needs

Given that technologies to significantly reduce fossil fuel emissions are currently unavailable or only available at high cost, technological change will be a key component of any long-term strategy to reduce greenhouse gas emissions. In light of this, the amount of research on the pace, direction, and benefits of environmentally-friendly technological change has grown dramatically in recent years. This research includes empirical work estimating the magnitude of these effects, and modeling exercises designed to simulate the importance of endogenous technological change in response to climate policy. Unfortunately, few attempts have been made to connect these two streams of research. This paper attempts to bridge that gap. We review both the empirical and modeling literature on technological change. Our focus includes the research and development process, learning by doing, the role of public versus private research, and technology diffusion. Our goal is to provide an agenda for how both empirical and modeling research in these areas can move forward in a complementary fashion. In doing so, we discuss both how models used for policy evaluation can better capture empirical phenomena, and how empirical research can better address the needs of models used for policy evaluation.