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Esta obra está pensada para estudiantes y profesionales interesados en aproximarse al cálculo económico en la empresa, desde un punto de vista eminentemente práctico. El enfoque adoptado parte de una visión sistémica de la empresa, que sirve de marco de referencia para modelizar una serie de problemas empresariales con la ayuda de hojas de cálculo. El objetivo que en última instancia se persigue en este libro es facilitar la toma de decisiones en la empresa como vía para lograr una gestión más eficiente.
Este libro es el resultado del esfuerzo conjunto de un grupo de profesores universitarios que, bajo la dirección del Profesor Dr. D. Álvaro Cuervo García y la coordinación del profesor Dr. D. Camilo J. Vázquez Ordás, han dado forma a un texto fruto de su experiencia docente e investigadora. Es un manual dirigido fundamentalmente a estudiantes de Organización y Administración de Empresas y de Economía de la Empresa, y, en general, a cualquier persona que desee ampliar conocimientos y mejorar su comprensión de la realidad empresarial. El libro introduce al alumno en la Administración y Dirección de Empresas, ofreciendo respuestas a cuestiones como el análisis económico de la naturaleza, límites y formas de desarrollo de la empresa; las distintas concepciones en materia de objetivos; las teorías de la organización y recursos humanos o los procesos de globalización, entre otras. Además, se inicia al lector en la problemática de la gestión empresarial a través del estudio de las decisiones productivas, comerciales y financieras. Su enfoque, eminentemente didáctico, combina la exposición de teorías y conceptos con la ilustración y aplicación práctica de los mismos, apoyándose para ello en recursos y materiales complementarios que se acompañan en un CD adjunto al manual.
Now with a new chapter that focuses on what great bosses really do. Dr. Sutton reveals new insights that he's learned since the writing of Good Boss, Bad Boss. Sutton adds revelatory thoughts about such legendary bosses as Ed Catmull, Steve Jobs, A.G. Lafley, and many more, and how you can implement their techniques. If you are a boss who wants to do great work, what can you do about it? Good Boss, Bad Boss is devoted to answering that question. Stanford Professor Robert Sutton weaves together the best psychological and management research with compelling stories and cases to reveal the mindset and moves of the best (and worst) bosses. This book was inspired by the deluge of emails, research, phone calls, and conversations that Dr. Sutton experienced after publishing his blockbuster bestseller The No Asshole Rule. He realized that most of these stories and studies swirled around a central figure in every workplace: THE BOSS. These heart-breaking, inspiring, and sometimes funny stories taught Sutton that most bosses - and their followers - wanted a lot more than just a jerk-free workplace. They aspired to become (or work for) an all-around great boss, somebody with the skill and grit to inspire superior work, commitment, and dignity among their charges. As Dr. Sutton digs into the nitty-gritty of what the best (and worst) bosses do, a theme runs throughout Good Boss, Bad Boss - which brings together the diverse lessons and is a hallmark of great bosses: They work doggedly to "stay in tune" with how their followers (and superiors, peers, and customers too) react to what they say and do. The best bosses are acutely aware that their success depends on having the self-awareness to control their moods and moves, to accurately interpret their impact on others, and to make adjustments on the fly that continuously spark effort, dignity, and pride among their people.
This book examines common tasks performed by business analysts and helps the reader navigate the wealth of information in R and its 4000 packages to create useful analytics applications. Includes interviews with corporate users of R, and easy-to-use examples.
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Behavior analysis, a rapidly growing profession, began with the use and application of conditioning and learning techniques to modify the behavior of children or adults presenting severe management problems, often because of developmental disabilities. Now behavior analysts work in a variety of settings, from clinics and schools to workplaces. Especially since their practice often involves aversive stimuli or punishment, they confront many special ethical challenges. Recently, the Behavior Analysis Certification Board codified a set of ten fundamental ethical guidelines to be followed by all behavior analysts and understood by all students and trainees seeking certification. This book shows readers how to follow the BACB guidelines in action. The authors first describe core ethical principles and then explain each guideline in detail, in easily comprehensible, everyday language. The text is richly illuminated by more than a hundred vivid case scenarios about which the authors pose, and later answer questions for readers. Useful appendices include the BACB Guidelines, an index to them, practice scenarios, and suggested further reading. Practitioners, instructors, supervisors, students, and trainees alike will welcome this invaluable new aid to professional development.
This collection of five essays by Germany’s most prominent and influential social thinker both links Luhmann’s social theory to the question “What is modern about modernity?” and shows the origins and context of his theory. In the introductory essay, “Modernity in Contemporary Society,” Luhmann develops the thesis that the modern epistemological situation can be seen as the consequence of a radical change in social macrostructures that he calls “social differentiation,” thereby designating the juxtaposition of and interaction between a growing number of social subsystems without any hierarchical structure. “European Rationality” defines rationality as the capacity to see the difference between systems and their environment as a unity. Luhmann argues that, in a world characterized by contingency, rationality tends to become coextensive with imagination, a view that challenges their classical binary opposition and opens up the possibility of seeing modern rationality as a paradox. In the third essay, “Contingency as Modern Society’s Defining Attribute,” Luhmann develops a further and probably even more important paradox: that the generalization of contingency or cognitive uncertainty is precisely what provides stability within modern societies. In the process, he argues that medieval and early modern theology can be seen as a “preadaptive advance” through which Western thinking prepared itself for the modern epistemological situation. In “Describing the Future,” Luhmann claims that neither the traditional hope of learning from history nor the complementary hope of cognitively anticipating the future can be maintained, and that the classical concept of the future should be replaced by the notion of risk, defined as juxtaposing the expectation of realizing certain projects and the awareness that such projects might fail. The book concludes with “The Ecology of Ignorance,” in which Luhmann outlines prospective research areas “for sponsors who have yet to be identified.”
This book constitutes the proceedings of the XV Multidisciplinary International Congress on Science and Technology (CIT 2020), held in Quito, Ecuador, on 26–30 October 2020, proudly organized by Universidad de las Fuerzas Armadas ESPE in collaboration with GDEON. CIT is an international event with a multidisciplinary approach that promotes the dissemination of advances in Science and Technology research through the presentation of keynote conferences. In CIT, theoretical, technical, or application works that are research products are presented to discuss and debate ideas, experiences, and challenges. Presenting high-quality, peer-reviewed papers, the book discusses the following topics: Artificial Intelligence Computational Modeling Data Communications Defense Engineering Innovation, Technology, and Society Managing Technology & Sustained Innovation, and Business Development Modern Vehicle Technology Security and Cryptography Software Engineering