CD-ROM contains: Crystal Ball -- TreePlan -- AnimaLP -- Queue -- ExcelWorkbooks.

Decision-Making Management: A Tutorial and Applications provides practical guidance for researchers seeking to optimizing business-critical decisions employing Logical Decision Trees thus saving time and money. The book focuses on decision-making and resource allocation across and between the manufacturing, product design and logistical functions. It demonstrates key results for each sector with diverse real-world case studies drawn primarily from EU projects. Theory is accompanied by relevant analysis techniques, with a progressional approach building from simple theory to complex and dynamic decisions with multiple data points, including big data and lot of data. Binary Decision Diagrams are presented as the operating approach for evaluating large Logical Decision Trees, helping readers identify Boolean equations for quantitative analysis of multifaceted problem sets. Computational techniques, dynamic analysis, probabilistic methods, and mathematical optimization techniques are expertly blended to support analysis of multi-criteria decision-making problems with defined constraints and requirements. The final objective is to optimize dynamic decisions with original approaches employing useful tools, including Big Data analysis. Extensive annexes provide useful supplementary information for readers to follow methods contained in the book. - Explores the use of logical decision trees to solve business problems - Uses mathematical optimization techniques to resolve 'big data' or other multi-criteria problems - Provides annexes showcasing application in manufacturing, product design and logistics - Shows case examples in telecommunications, renewable energy and aerospace - Supplies introduction by Benjamin Lev, Editor-in-Chief of Omega, the highest-ranked journal in management science (JCR)

Author is a leading theorist in negotiation and decision-making.

Managerial Decision Making is an essential and insightful title that brings together classic articles on the subject of behavioral decision research. Professor Don Moore has selected the seminal articles that are the cornerstone of a discipline that has exploded in both productivity and influence. It covers Herbert Simon's groundbreaking work on bounded rationality, as well as important papers on anchoring, the bias of framing, the problem of overconfidence, the preference for fairness, emotional influences and the strengths and weaknesses of human intuitive judgement. This research review will appeal to a wide readership as decision research plays an important role in such diverse areas as business, marketing, law, finance, medicine and public policy.

The modern manager faces a bewildering range of challenges every single day. Their ability to make critical decisions, often under pressure, can directly determine the future success of the company and their career. It is therefore surprising that so few managers take the time to learn the art of decision making. In this groundbreaking book from Caroline Wang, readers will learn that quality decision making is a competence that can be acquired according to a simple framework. The framework is practical and easy-to-remember, consisting of two acronyms: GPA and IPO. GPA for decision content quality (Goal, Priority, Alternatives); and IPO for decision process quality (Information, People, Objective reasoning). The book places emphasis on leading a team to make decisions, even though the framework can be used for personal and individual decisions. By using this common decision-making framework, managers and leaders will gain credibility and team support for the decision, will confidently articulate, promote, and defend the decision, and will have made the necessary preparations for successful implementation when the decision-making process is complete. This proven framework from one of Asia's most dynamic leadership experts will improve the quality of your decisions and change the way you do business.

Accessible and concise, this exciting new textbook examines data analytics from a managerial and organizational perspective and looks at how they can help managers become more effective decision-makers. The book successfully combines theory with practical application, featuring case studies, examples and a ‘critical incidents’ feature that make these topics engaging and relevant for students of business and management. The book features chapters on cutting-edge topics, including: • Big data • Analytics • Managing emerging technologies and decision-making • Managing the ethics, security, privacy and legal aspects of data-driven decision-making The book is accompanied by an Instructor’s Manual, PowerPoint slides and access to journal articles. Suitable for management students studying business analytics and decision-making at undergraduate, postgraduate and MBA levels.

Black & white print. Principles of Management is designed to meet the scope and sequence requirements of the introductory course on management. This is a traditional approach to management using the leading, planning, organizing, and controlling approach. Management is a broad business discipline, and the Principles of Management course covers many management areas such as human resource management and strategic management, as well as behavioral areas such as motivation. No one individual can be an expert in all areas of management, so an additional benefit of this text is that specialists in a variety of areas have authored individual chapters.