Rational Decisions in Organisations


Book Description

Managers in organisations must make rational decisions. Rational decision making is the opposite of intuitive decision making. It is a strict procedure utilising objective knowledge and logic. It involves identifying the problem to solve, gathering facts, identifying options and outcomes, analysing them, considering all the relationships and selecting the decision. Rational decision making requires support: methods and software tools. The identification of the problem to solve needs methods that would measure and evaluate the current situation. Identification and evaluation of options and analysis of the available possibilities involves analysis and optimisation methods. Incorporating intuition into rational decision making needs adequate methods that would translate ideas or observed behaviours into hard data. Communication, observation and opinions recording is hardly possible today without adequate software. Information and data that form the input, intermediate variables and the output must be stored, managed and made accessible in a user-friendly manner. Rational Decisions in Organisations: Theoretical and Practical Aspects presents selected recent developments in the support of the widely understood rational decision making in organisations, illustrated through case studies. The book shows not only the variety of perspectives involved in decision making, but also the variety of domains where rational decision support systems are needed. The case studies present decision making by medical doctors, students and managers of various universities, IT project teams, construction companies, banks and small and large manufacturing companies. Covering the richness of relationships in which the decisions should and must be taken, the book illustrates how modern organisations operate in chains and networks; they have multiple responsibilities, including social, legal, business and ethical duties. Nowadays, managers in organisations can make transparent decisions and consider a multitude of stakeholders and their diverse features, incorporating diverse criteria, using multiple types and drivers of information and decision-making patterns, and referring to numerous lessons learned. As the book makes clear, the marriage of theoretical ideas with the possibilities offered by technology can make the decisions in organisations more rational and, at the same time, more human.




Rational Decision Making


Book Description




Rational Decisions


Book Description

It is widely held that Bayesian decision theory is the final word on how a rational person should make decisions. However, Leonard Savage--the inventor of Bayesian decision theory--argued that it would be ridiculous to use his theory outside the kind of small world in which it is always possible to "look before you leap." If taken seriously, this view makes Bayesian decision theory inappropriate for the large worlds of scientific discovery and macroeconomic enterprise. When is it correct to use Bayesian decision theory--and when does it need to be modified? Using a minimum of mathematics, Rational Decisions clearly explains the foundations of Bayesian decision theory and shows why Savage restricted the theory's application to small worlds. The book is a wide-ranging exploration of standard theories of choice and belief under risk and uncertainty. Ken Binmore discusses the various philosophical attitudes related to the nature of probability and offers resolutions to paradoxes believed to hinder further progress. In arguing that the Bayesian approach to knowledge is inadequate in a large world, Binmore proposes an extension to Bayesian decision theory--allowing the idea of a mixed strategy in game theory to be expanded to a larger set of what Binmore refers to as "muddled" strategies. Written by one of the world's leading game theorists, Rational Decisions is the touchstone for anyone needing a concise, accessible, and expert view on Bayesian decision making.




Decision Making and Rationality in the Modern World


Book Description

In Decision Making and Rationality in the Modern World, Keith E. Stanovich demonstrates how work in the cognitive psychology of decision making has implications for the large and theoretically contentious debates about the nature of human rationality. Written specifically for undergraduate psychology students, the book presents a very practical approach to decision making, which is too often perceived by students as an artificial set of skills used only in academia and not in the real world. Instead, Stanovich shows how good decision-making procedures support rational behavior that enables people to act most efficiently to fulfill their goals. He explains how the concept of rationality is understood in cognitive science in terms of good decision making and judgment. Books in the Fundamentals of Cognition series serve as ideal instructional resources for advanced courses in cognitive psychology. They provide an up-to-date, well-organized survey of our current understanding of the major theories of cognitive psychology. The books are concise, which allows instructors to incorporate the latest original research and readings into their courses without overburdening their students. Focused without being too advanced--and comprehensive without being too broad--these books are the perfect resource for both students and instructors.




Global Encyclopedia of Public Administration, Public Policy, and Governance


Book Description

This global encyclopedic work serves as a comprehensive collection of global scholarship regarding the vast fields of public administration, public policy, governance, and management. Written and edited by leading international scholars and practitioners, this exhaustive resource covers all areas of the above fields and their numerous subfields of study. In keeping with the multidisciplinary spirit of these fields and subfields, the entries make use of various theoretical, empirical, analytical, practical, and methodological bases of knowledge. Expanded and updated, the second edition includes over a thousand of new entries representing the most current research in public administration, public policy, governance, nonprofit and nongovernmental organizations, and management covering such important sub-areas as: 1. organization theory, behavior, change and development; 2. administrative theory and practice; 3. Bureaucracy; 4. public budgeting and financial management; 5. public economy and public management 6. public personnel administration and labor-management relations; 7. crisis and emergency management; 8. institutional theory and public administration; 9. law and regulations; 10. ethics and accountability; 11. public governance and private governance; 12. Nonprofit management and nongovernmental organizations; 13. Social, health, and environmental policy areas; 14. pandemic and crisis management; 15. administrative and governance reforms; 16. comparative public administration and governance; 17. globalization and international issues; 18. performance management; 19. geographical areas of the world with country-focused entries like Japan, China, Latin America, Europe, Asia, Africa, the Middle East, Russia and Eastern Europe, North America; and 20. a lot more. Relevant to professionals, experts, scholars, general readers, researchers, policy makers and manger, and students worldwide, this work will serve as the most viable global reference source for those looking for an introduction and advance knowledge to the field.




Rationality and Decision Making


Book Description

Rationality and Decision Making: From Normative Rules to Heuristics' offers a broad overview of both classic and very recent discussions concerning rationality and strategies of individual and group decision making. They are considered from a methodological, ethical, sociological, historical, cultural as well as an evolutionary perspective. Decision making, both rational and irrational, is treated in its complexity as an algorithmic, heuristic and intuitive process. The volume analyzes the theoretical and practical aspects of decision making in individual intentional endeavors and group or institutionalized undertakings. The analyses are mostly theoretical but they also appeal to empirical studies, proposed by philosophers and cognitive scientists who have studied logical, cognitive, biological, social and evolutionary aspects of human rationality.




Bounded Rationality in Decision Making Under Uncertainty: Towards Optimal Granularity


Book Description

This book addresses an intriguing question: are our decisions rational? It explains seemingly irrational human decision-making behavior by taking into account our limited ability to process information. It also shows with several examples that optimization under granularity restriction leads to observed human decision-making. Drawing on the Nobel-prize-winning studies by Kahneman and Tversky, researchers have found many examples of seemingly irrational decisions: e.g., we overestimate the probability of rare events. Our explanation is that since human abilities to process information are limited, we operate not with the exact values of relevant quantities, but with “granules” that contain these values. We show that optimization under such granularity indeed leads to observed human behavior. In particular, for the first time, we explain the mysterious empirical dependence of betting odds on actual probabilities. This book can be recommended to all students interested in human decision-making, to researchers whose work involves human decisions, and to practitioners who design and employ systems involving human decision-making —so that they can better utilize our ability to make decisions under uncertainty.




Risk and Rationality


Book Description

Lara Buchak sets out a new account of rational decision-making in the face of risk. She argues that the orthodox view (expected utility theory) is too narrow, and suggests an alternative, more permissive theory: one that allows individuals to pay attention to the worst-case or best-case scenario, and vindicates the ordinary decision-maker.




Debating Rationality


Book Description

"Debating Rationality is a terrific collection of essays written by an obviously first rate set of scholars. Several recent books have attempted to make similar points, but this volume pushes the ideas in new directions, rather than simply restating what are now established themes."--Roderick M. Kramer, co-author of Trust in OrganizationsDecision makers strive to be rational. Traditionally, rational decisions maximize an appropriate return. The contributors to this book challenge the common assumption that good decisions must be rational in this economic sense. They emphasize that the decision-making process is influenced by social, organizational, and psychological considerations as well as by economic concerns. Relationships, time pressure, external demands for specific types of performance, contractual expectations, human biases, and reactions to unfair treatment alter the decision-making context and the resulting decision outcomes.




Artificial Intelligence Techniques for Rational Decision Making


Book Description

Develops insights into solving complex problems in engineering, biomedical sciences, social science and economics based on artificial intelligence. Some of the problems studied are in interstate conflict, credit scoring, breast cancer diagnosis, condition monitoring, wine testing, image processing and optical character recognition. The author discusses and applies the concept of flexibly-bounded rationality which prescribes that the bounds in Nobel Laureate Herbert Simon’s bounded rationality theory are flexible due to advanced signal processing techniques, Moore’s Law and artificial intelligence. Artificial Intelligence Techniques for Rational Decision Making examines and defines the concepts of causal and correlation machines and applies the transmission theory of causality as a defining factor that distinguishes causality from correlation. It develops the theory of rational counterfactuals which are defined as counterfactuals that are intended to maximize the attainment of a particular goal within the context of a bounded rational decision making process. Furthermore, it studies four methods for dealing with irrelevant information in decision making: Theory of the marginalization of irrelevant information Principal component analysis Independent component analysis Automatic relevance determination method In addition it studies the concept of group decision making and various ways of effecting group decision making within the context of artificial intelligence. Rich in methods of artificial intelligence including rough sets, neural networks, support vector machines, genetic algorithms, particle swarm optimization, simulated annealing, incremental learning and fuzzy networks, this book will be welcomed by researchers and students working in these areas.