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.

Purple loosestrife (Lythrum salicaria): Its status in Wisconsin and control methods

Data were gathered in 1984 on the distribution, size, and habitat of populations of purple loosestrife in Wisconsin. Lythrum salicaria was found throughout Wisconsin, but most populations were still small and amenable to eradication with spot applications of herbicide. We compared the effectiveness of three dosages of glyphosate herbicide for eradicating small populations of purple loosestrife. High dosage treatments killed a slightly higher percentage of loosestrife than low dosage, but also caused much greater destruction of desirable perennial vegetation. The increased disturbance associated with high dosage, led to a high density of purple loosestrife seedlings in the following year. Low dosages of glyphosate herbicides are, therefore, recommended for control of L salicaria

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

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

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

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

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

Cross-Cultural Adjustments and International Collegiate Athletes

Ridinger and Pastore (2000a) proposed a theoretical model to measure international student-athlete adjustment to college consisting of: (a) adjustment factors, (b) antecedent dimensions to those factors, and (c) outcomes. The purpose of this study was to examine whether the antecedent factors listed by Ridinger and Pastore were indeed the best indicators of successful adjustment to college for international migrant athletes and to determine if other antecedent factors were also relevant to adjustment. Multiple qualitative interviews with 13 international athletes from four NCAA Division I institutions were conducted. Data collected through those interviews supported all of the antecedent dimensions of the Ridinger and Pastore (2000a) model with the exception of the perception dimension subheading of faculty/staff. New dimension subheadings (a) sense of adventure, (b) previous international travel experience, and (c) family infuence emerged from the data and were added to a revised model of international athlete adjustment