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"The Poliheuristic Theory of Crisis Decision Making and Applied Decision Analysis" published on by Oxford University Press.

"Poliheuristic Theory: A Middle Ground Between Rational and Cognitive Decision Theories" published on by Oxford University Press.

This paper analyses the self-presentation of Barcelona Mayor Ada Colau in a period in which she had to consolidate her political identity as a result of her victory in the elections on May 25th 2015. Studying the Mayor's posts on her personal Facebook site during her first year and a half in office, we will analyse the configuration of Colau's discursive ethos. We will take into account five types of ethos we have identified in the corpus: that of activist, humanitarian, politician, mayor and leader. Based on the hypothesis that this ethos is extremely complex. We consider that her ethos is extremely complex due to the fact that it is based on various characteristics, which gives rise to a multi-form 'I' that fulfills Colau's need to legitimize her public image from a new position of power. ; Este trabajo propone analizar discursivamente la presentación de sí de la alcaldesa de Barcelona, Ada Colau, en un momento de afianzamiento de su identidad política disparado por su triunfo en las elecciones del 24 de mayo de 2015. A partir de un abordaje de las publicaciones de la alcaldesa en su página personal de Facebook durante el primer año y medio de su mandato, estudiaremos la construcción discursiva del ethos de Colau. Consideraremos cinco tipos de ethos que hemos identificado en el corpus: activista, humanidad, política, alcaldesa, líder. Sostenemos que su ethos es sumamente complejo en tanto radica en la conjunción de diferentes rasgos, dando lugar a un yo multiforme que responde a la necesidad de Colau de legitimar su imagen pública desde un nuevo lugar de poder.

Contents.--A psycho-analytic study of Hamlet.--On "dying together," with special reference to Heinrich von Kleist's suicide.--An unusual case of "dying together."--The symbolic significance of salt in folklore and superstition.--The God-complex. The belief that one is God, and the resulting character traits.--The influence of Andrea del Sarto's wife on his art.--The case of Louis Bonaparte, king of Holland.--The Madonna's conception through the ear. A contribution to the relation between aesthetics and religion.--War and individual psychology.--War and sublimation.--A linguistic factor in English characterology.--The island of Ireland. A psycho-analytical contribution to political psychology.--A psycho-analytic study of the Holy Ghost. ; Mode of access: Internet.

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) ; Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) ; Processo FAPESP: 2015/24560-0 ; CNPq: 306214/2015-6 ; Global warming, as many other threats, requires more activity from the government, and people inquire about this, rightfully so. However, the public and private sectors nowadays have a joint responsibility with society. Global warming has come out of the scientific community and shows that climate change is an important social, economic, and political issue. Currently the carbon dioxide (CO2) emissions by transportation sector are the main polluter of the planet. For this reason, in this paper we propose a reflection on transport, which is an important sector of the economy, responsible for the generation of many jobs and wealth but, at the same time, it has negative impacts on people, companies, and the environment. Recent investigations demonstrate that mobility problems affects the life quality of the people, business productivity and gross domestic product (GDP) performance. In the face of the changes that we are experiencing, it is important to find alternatives that assistance governments in the decision making to solve the problem of traffic in large and medium-size cities and bring well-being to the population. The goal is to provide accurate tool to help take the best decisions in situations that most of the time has a lack of economic resources and transparency. Another motivation is to increase the productivity of companies and achieve sustainable development by reducing mobility problems and CO2 emissions. As outcomes of the paper, an in-depth study is presented on the subject that indicates a gap in the literature with fuzzy logic applied to sustainability. We indicate a sustainable option for the transport sector using algorithms for decision-making, and broaden the discussion on climate change and solutions to reduce the impacts caused by humanity. When the models were applied through a conceptual study, it was possible to provide an instrument generated on the use of algorithms that can aid decision making by getting qualitative data from a discussion with stakeholders on a topic. Finally, the document identifies the importance of the participation of stakeholder, reinforces legitimacy and transparency in decision-making processes and above all present a tool that can help governments to solve this problem. In short, this work proposes an original and valuable tool to be applied in the decision-making process for the sustainable transport sector based on the stakeholder engagement. (C) 2017 Elsevier Ltd. All rights reserved.

This item is part of the Political & Rights Issues & Social Movements (PRISM) digital collection, a collaborative initiative between Florida Atlantic University and University of Central Florida in the Publication of Archival, Library & Museum Materials (PALMM).

This book directs the engineering manager or the undergraduate student preparing to become an engineering manager, who is or will become actively engaged in the management of economic-risk trade-off decisions for engineering investments within an organizational system. In today's global economy, this may mean managing the economic risks of engineering investments across national boundaries in international organizations, government, or service organizations. As such, this is an applied book. The book's goal is to provide an easy to understand, up to date, and coherent treatment of the management of the economic-risk trade-offs of engineering investments. This book accomplishes this goal by cumulatively sequencing knowledge content from foundational economic and accounting concepts to cost estimating to the traditional engineering economics knowledge culminating in fundamental engineering managerial economic decision-making incorporating risk into engineering management economic decisions.[Amazon.com] ; https://digitalcommons.odu.edu/emse_books/1012/thumbnail.jpg

Tracing the development of economics since the 19th century up to the present day makes it evident that at its core there is a sequence of rather precise and mathematically sophisticated axiomatic theories. At the same time, there is always a noticeable and persistent gap between economic reality and the economic predictions derived from these theories. The main reason why economic theories have not been successful so far in modeling economic reality is the fact that these theories are formulated in terms of hard sciences characterized by their nature of preciseness. In economics, as in any complex multi-agent humanistic system, motivations, intuition, human knowledge, and human behavior, such as perception, emotions, and norms, play dominant roles. Consequently, real economic and socioeconomic world problems are too complex to be translated into classical mathematical and bivalent logic languages, solved and interpreted in the language of the real world. The traditional modeling methodology (economics deals with models of economic reality) is perhaps not relevant or at least not powerful enough to satisfy the requirements of human reasoning and decision making activities. A new much more effective modeling language is needed to capture economic reality. According to Prof. L. Zadeh, in general, fuzzy-logic-based modeling languages have a higher power of cointension than their bivalent logic-based counterparts and present the potential for playing an essential role in modeling economic, social, and political systems. The sheer complexity of causation in the economic arena mandates a fuzzy approach. We argue that many economic dynamical systems naturally become fuzzy due to the uncertain initial conditions and parameters. In this study we consider an economic system as a human centric and imperfect information-based realistic multi-agent system with fuzzy-logic-based representation of the economic agents' behavior and with imprecise constraints. We use fuzzy "if-then" language and fuzzy differential equations for modeling the economic agents. This paper looks beyond the standard assumptions of economics that all people are similarly rational and self-interested. To be able to incorporate motivation input variables of economic agents into their models, we created behavioral model of agents by using the fuzzy and Bayes-Shortliffe approaches. Nowadays, adding norms and motivations to utility function has become an issue for economists and business people. They also recognized that something is missing in standard utility function and even in standard economic theory. Everything is not as simple as just profit or utility maximization under budget constraint. They recognized that during all these years they have been ignoring the most important thing: the norms and motivations that actually directed the human nature of the decision makers. It is obvious that these norms and motivations cannot be captured by statistical analysis, there are deeper and more subtle uncertain relationships between well-being and its determinants. We suggest the fuzzy graph-based approach to utility function construction. The proposed approach is consistent with the behavioral and uncertainty paradigms of the decision makers. Here we put the emphasis on mathematical background rather than real case analysis. The suggested fuzzy approaches to economic problem-solving are applied to fuzzy decision making in an oligopolistic economy.

Correlational or second-order linkage analyses (Schulz, 2008) correlate content data points and survey data at the aggregate level. They are generally used to infer the impact of public opinion climate, the media context or media use on individual attitudes, cognitions and behaviors. Correlational linkage analyses make use of data collected at different points in time to be able to describe patterns of change and stability over time and to compensate for the reduced number of observations resulting from aggregating individual-level data. They often employ manual and automated content analysis, descriptive and inferential statistical analyses, and time series analysis. Field of application/theoretical foundation: Linkage analyses have extensively been used in the fields of political communication (Soroka, 2002), EU studies (Brosius et al., 2019a), and more recently, social media and social movements. Studies that employed second-order linkage analyses are related to theories of agenda setting (McCombs & Shaw, 1972), framing (Vliegenthart et al., 2008), or media bias and tone (Brosius et al., 2019b) (see chapter Content Analysis in Mixed Method approaches for a detailed account of applications and advantages of using linkage analyses). Example studies: In this data entry we describe two studies that regress survey data on media content data with additional weighs to better model news media effects. The first study (Boomgaarden & Vliegenthart, 2007) weigh media coverage of a particular topic (immigration) by issue prominence and circulation of the newspapers considered in the study. The second one (Vliegenthart et al., 2008) further introduces a publication recency moderator to account for how close in time a given news story was published from when survey data was collected and individuals may have been exposed to such piece of information. References Boomgaarden, H. G., & Vliegenthart, R. (2007). Explaining the rise of anti-immigrant parties: The role of news media content. Electoral Studies, 26(2), ...

Nowadays, most of the firms are involved in a sustainable development approach aiming to ensure financial, social and environmental performance, in order to satisfy legislation and customers that have become increasingly demanding. Reverse logistics is part of the process of sustainable development. This process triggered by the consumer consists in a series of activities required for recovery and reprocessing of used products. These products can be reused in some cases. In the framework of sustainable development, this paper is concerned by the design and the evaluation process of withdrawal plans in the field of aircraft dismantling. A multi-criteria decision aid support based on BOCR analysis is proposed to select adequate withdrawal plans. Variables used to evaluate a candidate withdrawal plan constitute what we refer to as repatriation trajectory. A repatriation plan is evaluated on a bipolar scale by two measures namely selectability measure and rejectability measure in the framework of satisficing game to highlight positive aspects and negative aspects with regards to decision making main objectives.