Game Theory and Business Applications: 194 2nd ed. 2014 Edition
Author(s): Kalyan Chatterjee (Editor), William Samuelson
Publisher: Springer
Publication Date: 26 Jun. 2013
Edition: 2nd ed. 2014
Language: English
Print length: 415 pages
ISBN-10: 1461470943
ISBN-13: 9781461470946
Book Description
Game theory has been applied to a growing list of practical problems, from antitrust analysis to monetary policy; from the design of auction institutions to the structuring of incentives within firms; from patent races to dispute resolution. The purpose of Game Theory and Business Applications is to show how game theory can be used to model and analyze business decisions. The contents of this revised edition contain a wide variety of business functions – from accounting to operations, from marketing to strategy to organizational design. In addition, specific application areas include market competition, law and economics, bargaining and dispute resolution, and competitive bidding. All of these applications involve competitive decision settings, specifically situations where a number of economic agents in pursuit of their own self-interests and in accordance with the institutional “rules of the game” take actions that together affect all of their fortunes. As this volume demonstrates, game theory provides a compelling guide for analyzing business decisions and strategies.
Editorial Reviews
Review
“This book surveys game theory models and methods in different disciplines of business, economics, law, marketing, finance and accounting. The volume presents a valuable collection of game theory models, which are developed by experts in the field and collected from many diverse cited sources in contemporary literature, with associated ideas, issues, mathematics and applications. From both an academic and practical point of view, this book contains up- to-date and comprehensive surveys of many useful models involving strategic interactions in business. It makes an important contribution to the literature, and is an extremely useful and interesting book for academics and professionals in the business and public policy world.” (Dr. Sardar M. N. Islam, Ph. D., LL. B. Professor,Victoria Institute for Strategic Economic Studies, College of Business,Victoria University, Australia, March 2015)
From the Back Cover
Game theory has been applied to a growing list of practical problems, from antitrust analysis to monetary policy; from the design of auction institutions to the structuring of incentives within firms; from patent races to dispute resolution. The purpose of Game Theory and Business Applications is to show how game theory can be used to model and analyze business decisions. The contents of this revised edition contain a wide variety of business functions – from accounting to operations, from marketing to strategy to organizational design. In addition, specific application areas include market competition, law and economics, bargaining and dispute resolution, and competitive bidding. All of these applications involve competitive decision settings, specifically situations where a number of economic agents in pursuit of their own self-interests and in accordance with the institutional “rules of the game” take actions that together affect all of their fortunes. As this volume demonstrates, game theory provides a compelling guide for analyzing business decisions and strategies.
FUZZY LOGIC FOR BUSINESS, FINANCE, AND MANAGEMENT (2ND EDITION): 23 (Advances In Fuzzy Systems-applications And Theory) 2nd Edition
Author(s): BOJADZIEV GEORGE ET AL (Author)
Publisher: World Scientific Publishing
Publication Date: 24 July 2007
Edition: 2nd
Language: English
Print length: 252 pages
ISBN-10: 9812706496
ISBN-13: 9789812706492
Book Description
This is truly an interdisciplinary book for knowledge workers in business, finance, management and socio-economic sciences based on fuzzy logic. It serves as a guide to and techniques for forecasting, decision making and evaluations in an environment involving uncertainty, vagueness, impression and subjectivity. Traditional modeling techniques, contrary to fuzzy logic, do not capture the nature of complex systems especially when humans are involved. Fuzzy logic uses human experience and judgement to facilitate plausible reasoning in order to reach a conclusion. Emphasis is on applications presented in the 27 case studies including Time Forecasting for Project Management, New Product Pricing, and Control of a Parasit-Pest System.
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