Managerial Decision Making

Managerial Decision Making PDF Author: J. Bridge
Publisher: Routledge
ISBN: 1351200453
Category : Business & Economics
Languages : en
Pages : 229

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Book Description
This book, originally published in 1975, is an attempt to bridge the gap between economic theory and business practice by relating the tools of economic analysis to the decision making process itself. It is written from a decision making systems analysis viewpoint. This approach enables the reader to perceive the integrative nature of the subject matter in relation to the functioning of the business enterprise. Although the unifying theme of ‘decision making’ is at the heart of the book, where necessary some of the theoretical underpinnings of traditional neo-classical theory of the firm are covered.

Managerial Decision Making

Managerial Decision Making PDF Author: J. Bridge
Publisher: Routledge
ISBN: 1351200453
Category : Business & Economics
Languages : en
Pages : 229

Get Book Here

Book Description
This book, originally published in 1975, is an attempt to bridge the gap between economic theory and business practice by relating the tools of economic analysis to the decision making process itself. It is written from a decision making systems analysis viewpoint. This approach enables the reader to perceive the integrative nature of the subject matter in relation to the functioning of the business enterprise. Although the unifying theme of ‘decision making’ is at the heart of the book, where necessary some of the theoretical underpinnings of traditional neo-classical theory of the firm are covered.

Public Decision-Making Processes and Asymmetry of Information

Public Decision-Making Processes and Asymmetry of Information PDF Author: Massimo Marrelli
Publisher: Springer Science & Business Media
ISBN: 1461515831
Category : Business & Economics
Languages : en
Pages : 212

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Book Description
The problems arising from the existence of asymmetric information in public decision making have been widely explored by economists. Most of the traditional analysis of public sector activities has been reviewed to take accountofthe possible distortions arising from an asymmetric distribution of relevant information among the actors of the public decision-making process. A normative approach has been developed to design incentive schemes which tackle adverse selection and moral hazard problems within public organisations: our understanding of these problems is now much better, and some of the mechanisms designed have had important practical implications. While this analysis is still under way in many fields of public economics, as the papers by Jones and Zanola, and Trimarchi witness, a debate is ongoing on the possible theoretical limitations ofthis approach and on its actual relevance for public sector activities. This book encompasses different contributions to these issues, on both theoretical and practical areas, which were firstly presented at a conference in Catania. The innermost problem in the current discussion arises from the fact that this normative analysis is firmly rooted in the complete contracting framework, with the consequence that, despite the analytical complexities of most models, their results rely on very simplified assumptions. Most complexities of the organisation of public sector, and more generally, of writing "contracts", are therefore swept away.

The Manual of Strategic Economic Decision Making

The Manual of Strategic Economic Decision Making PDF Author: Jeff Grover
Publisher:
ISBN: 9783319484150
Category : Bayesian statistical decision theory
Languages : en
Pages :

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Book Description
This book is an extension of the author's first book and serves as a guide and manual on how to specify and compute 2-, 3-, & 4-Event Bayesian Belief Networks (BBN). It walks the learner through the steps of fitting and solving fifty BBN numerically, using mathematical proof. The author wrote this book primarily for naïve learners and professionals, with a proof-based academic rigor. The author's first book on this topic, a primer introducing learners to the basic complexities and nuances associated with learning Bayes' theory and inverse probability for the first time, was meant for non-statisticians unfamiliar with the theorem - as is this book. This new book expands upon that approach and is meant to be a prescriptive guide for building BBN and executive decision-making for students and professionals; intended so that decision-makers can invest their time and start using this inductive reasoning principle in their decision-making processes. It highlights the utility of an algorithm that served as the basis for the first book, and includes fifty 2-,3-, and 4-event BBN of numerous variants. Equips readers with a simplified reference source for all aspects of the discrete form of Bayes' theorem and its application to BBN Provides a compact resource for the statistical tools required to build a BBN Includes an accompanying statistical analysis portal Jeff Grover, PhD, is Founder and Chief Research Scientist at Grover Group, Inc., where he specializes in Bayes' Theorem and its application to strategic economic decision making through Bayesian belief networks (BBNs). He specializes in blending economic theory and BBN to maximize stakeholder wealth. He is a winner of the Kentucky Innovation Award (2015) for the application of his proprietary BBN big data algorithm. He has operationalized BBN in the healthcare industry, evaluating the Medicare "Hospital Compare" data; in the Department of Defense, conducting research with U.S. Army Recruiting Command to determine optimal levels of required recruiters for recruiting niche market medical professionals; and in the agriculture industry in optimal soybean selection. In the area of economics, he was recently contracted by the Department of Energy, The Alliance for Sustainable Energy, LLC Management and Operating Contractor for the National Renewable Energy Laboratory, to conduct a 3rd party evaluation of the Hydrogen Financial Analysis Scenario (H2FAST) Tool.

The Economics of Artificial Intelligence

The Economics of Artificial Intelligence PDF Author: Ajay Agrawal
Publisher: University of Chicago Press
ISBN: 0226833127
Category : Business & Economics
Languages : en
Pages : 172

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Book Description
A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.

Neuroeconomic and Behavioral Aspects of Decision Making

Neuroeconomic and Behavioral Aspects of Decision Making PDF Author: Kesra Nermend
Publisher: Springer
ISBN: 3319629387
Category : Business & Economics
Languages : en
Pages : 409

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Book Description
This proceedings volume presents the latest scientific research and trends in experimental economics, with particular focus on neuroeconomics. Derived from the 2016 Computational Methods in Experimental Economics (CMEE) conference held in Szczecin, Poland, this book features research and analysis of novel computational methods in neuroeconomics. Neuroeconomics is an interdisciplinary field that combines neuroscience, psychology and economics to build a comprehensive theory of decision making. At its core, neuroeconomics analyzes the decision-making process not only in terms of external conditions or psychological aspects, but also from the neuronal point of view by examining the cerebral conditions of decision making. The application of IT enhances the possibilities of conducting such analyses. Such studies are now performed by software that provides interaction among all the participants and possibilities to register their reactions more accurately. This book examines some of these applications and methods. Featuring contributions on both theory and application, this book is of interest to researchers, students, academics and professionals interested in experimental economics, neuroeconomics and behavioral economics.

Business Economics and Managerial Decision Making

Business Economics and Managerial Decision Making PDF Author: Trefor Jones
Publisher: Wiley
ISBN: 9780471486749
Category : Business & Economics
Languages : en
Pages : 594

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Book Description
Written primarily for students taking courses in managerial economics in Britain and Europe, The Business Economics and Managerial Decision Making analyses the growth and development of privately owned firms and also the decisions made by firms operating in both private and public sector enterprises. Coverage is clear and concise, and avoids specialist techniques such as linear programming, which in a European context tend to belong in courses dealing with operations research. The book also avoids straying into areas of industrial economics, instead retaining a sharp focus on relevant issues such as the theory of the firm and the varying objectives that may be adopted in practice. Key sections are supported by case studies of real firms and actual decisions made.

Smart Economic Decision-Making in a Complex World

Smart Economic Decision-Making in a Complex World PDF Author: Morris Altman
Publisher: Academic Press
ISBN: 0128131780
Category : Business & Economics
Languages : en
Pages : 302

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Book Description
Smart Economic Decision-Making in a Complex World is a fresh and reality-based perspective on decision-making with significant implications for analysis, self-understanding and policy. The book examines the conditions under which smart people generate outcomes that improve their place of work, their household and society. Within this work, the curious reader will find interesting open questions on many fascinating areas of current economic debate, including, the role of realistic assumptions robust model building, understanding how and when non-neoclassical behavior is best practice, why the assumption of smart decision-makers is best to understand and explain our economies and societies, and under what conditions individuals can make the best possible choices for themselves and society at large. Additional sections cover when and how efficiency is achieved, why inefficiencies can persist, when and how consumer welfare is maximized, and what benchmarks should be used to determine efficiency and rationality. Makes the case for ‘smart and rational’ decision-making as a context-dependent rational process that is framed by socio-cultural environment and conditioned by institutional capacities Explains how incorporation of the ‘smart’ decision-maker concept into economic thought improves our understanding of how, why and when people generate certain outcomes Explores how economic efficiency can be achieved, individual preferences realized, and social welfare maximized through the use of ‘smart and rational’ approaches

Decision Making with the Analytic Network Process

Decision Making with the Analytic Network Process PDF Author: Thomas L. Saaty
Publisher: Springer Science & Business Media
ISBN: 1461472792
Category : Business & Economics
Languages : en
Pages : 333

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Book Description
The Analytic Network Process (ANP), developed by Thomas Saaty in his work on multicriteria decision making, applies network structures with dependence and feedback to complex decision making. This new edition of Decision Making with the Analytic Network Process is a selection of the latest applications of ANP to economic, social and political decisions, and also to technological design. The ANP is a methodological tool that is helpful to organize knowledge and thinking, elicit judgments registered in both in memory and in feelings, quantify the judgments and derive priorities from them, and finally synthesize these diverse priorities into a single mathematically and logically justifiable overall outcome. In the process of deriving this outcome, the ANP also allows for the representation and synthesis of diverse opinions in the midst of discussion and debate. The book focuses on the application of the ANP in three different areas: economics, the social sciences and the linking of measurement with human values. Economists can use the ANP for an alternate approach for dealing with economic problems than the usual mathematical models on which economics bases its quantitative thinking. For psychologists, sociologists and political scientists, the ANP offers the methodology they have sought for some time to quantify and derive measurements for intangibles. Finally the book applies the ANP to provide people in the physical and engineering sciences with a quantitative method to link hard measurement to human values. In such a process, one is able to interpret the true meaning of measurements made on a uniform scale using a unit.

Theories of Choice

Theories of Choice PDF Author: Stefan Grundmann
Publisher: Oxford University Press
ISBN: 0192608274
Category : Law
Languages : en
Pages : 353

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Book Description
Choice is a key concept of our time. It is a foundational mechanism for every legal order in societies that are, politically, constituted as democracies and, economically, built on the market mechanism. Thus, choice can be understood as an atomic structure that grounds core societal processes. In recent years, however, the debate over the right way to theorize choice - for example, as a rational or a behavioral type of decision making - has intensified. This collection provides an in-depth discussion of the promises and perils of specific types of theories of choice. It shows how the selection of a specific theory of choice can make a difference for concrete legal questions, in particular in the regulation of the digital economy or in choosing between market, firm, or network. In its first part, the volume provides an accessible overview of the current debates about rational versus behavioral approaches to theories of choice. The remainder of the book structures the vast landscape of theories of choice along with three main types: individual, collective, and organizational decision making. As theories of choice proliferate and become ever more sophisticated, however, the process of choosing an adequate theory of choice becomes increasingly intricate. This volume addresses this selection problem for the various legal arenas in which individual, organizational, and collective decisions matter. By drawing on economic, technological, political, and legal points of view, the volume shows which theories of choice are at the disposal of the legally relevant decision-maker, and how they can be operationalized for the solution of concrete legal problems. The editors acknowledge the kind support of the Fritz Thyssen Foundation for an exploratory conference on the subject of the book.

Neuroeconomics

Neuroeconomics PDF Author: Eric J. Johnson
Publisher: Elsevier Inc. Chapters
ISBN: 0128073101
Category : Medical
Languages : en
Pages : 33

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Book Description
This chapter reviews models of choice on two levels: The first concerns the descriptions of choice and their evolution from normative models of how choices should be make to more behaviorally realistic models, more consistent with data showing that choice depends heavily on context. We present brief overviews of risky and riskless choice models and data and for choice over time. We then turn to computational process models, a more recent class of models that make prediction for multiple properties of the decision process beyond simply what is chosen, including predicting the distribution of errors and decision times.These models are typically applied to simpler choices, but have found great use in contemporary neuroscience.