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Uncertainty is present in every managerial decision, and Managerial Economics: A Mathematical Approach effectively demonstrates the application of higher-level statistical tools to inform and clarify the logic of problem solving in a managerial environment. While illuminating managerial decision-making from all possible angles, this book equips readers with the tools and skills needed to recognize and address uncertainty. The book also explores individual, firm, and market-level decisions; discusses all possible risks and uncertainties encountered in the decision-making process; and prepares readers to deal with both epistemic and aleatory uncertainty in managerial decisions. Managerial Economics features: • An emphasis on practical application through real-life examples and problems • An accessible writing style that presents technical theories in a user-friendly way • A mathematical and statistical point of view that reveals the presence of uncertainty inherent in managerial decisions • Thoroughly class-tested material including problems at the end of each chapter, case study questions, review exercises, and objectives that summarize the main discussions Managerial Economics is an excellent book for upper-undergraduate and graduate-level courses in business and economics departments. The book is also an ideal reference and resource for managers, decision makers, market analysts, and researchers who require information about the theoretical and quantitative aspects of the topic.

Entrepreneurship develops around the world in accordance to the different cultural, political, economic and social contexts. Governments promote entrepreneurship as a way to improve economic growth. As capitalism changes, entrepreneurship also changes. This book describes some of the new profiles of entrepreneurs that are creating the entrepreneurial economy of the 21st Century. It presents entrepreneurship in a theoretical and pragmatic way in order to help readers to understand what entrepreneurship means today. Illustrated by socio-economic information and case studies of an international scope, two main questions are explicitly studied in this book: who are the new figures of entrepreneurs and how are they creating the companies of the future? The book is based on academic literature and serves as a reference to researchers interested in the evolution of entrepreneurship.

This book deals with the dynamics of international specializations during the present period of trade globalization. It discusses international trade as a network linking countries, and uses structural techniques to analyze the evolving structure of this network. It offers a new approach to address the economic emergence of countries. Using these structural methods, the book also explains knowledge exchange. Indeed, the structure transformation of the international trade is partly due to an exchange of competencies between regions. Many concrete examples are proposed.

Features of statistical and operational research methods and tools being used to improve the healthcare industry With a focus on cutting-edge approaches to the quickly growing field of healthcare, Healthcare Analytics: From Data to Knowledge to Healthcare Improvement provides an integrated and comprehensive treatment on recent research advancements in data-driven healthcare analytics in an effort to provide more personalized and smarter healthcare services. Emphasizing data and healthcare analytics from an operational management and statistical perspective, the book details how analytical methods and tools can be utilized to enhance healthcare quality and operational efficiency. Organized into two main sections, Part I features biomedical and health informatics and specifically addresses the analytics of genomic and proteomic data; physiological signals from patient-monitoring systems; data uncertainty in clinical laboratory tests; predictive modeling; disease modeling for sepsis; and the design of cyber infrastructures for early prediction of epidemic events. Part II focuses on healthcare delivery systems, including system advances for transforming clinic workflow and patient care; macro analysis of patient flow distribution; intensive care units; primary care; demand and resource allocation; mathematical models for predicting patient readmission and postoperative outcome; physician–patient interactions; insurance claims; and the role of social media in healthcare. Healthcare Analytics: From Data to Knowledge to Healthcare Improvement also features: • Contributions from well-known international experts who shed light on new approaches in this growing area • Discussions on contemporary methods and techniques to address the handling of rich and large-scale healthcare data as well as the overall optimization of healthcare system operations • Numerous real-world examples and case studies that emphasize the vast potential of statistical and operational research tools and techniques to address the big data environment within the healthcare industry • Plentiful applications that showcase analytical methods and tools tailored for successful healthcare systems modeling and improvement The book is an ideal reference for academics and practitioners in operations research, management science, applied mathematics, statistics, business, industrial and systems engineering, healthcare systems, and economics. Healthcare Analytics: From Data to Knowledge to Healthcare Improvement is also appropriate for graduate-level courses typically offered within operations research, industrial engineering, business, and public health departments. HUI YANG, PhD, is Associate Professor in the Harold and Inge Marcus Department of Industrial and Manufacturing Engineering at The Pennsylvania State University. His research interests include sensor-based modeling and analysis of complex systems for process monitoring/control; system diagnostics/ prognostics; quality improvement; an

Presents an accessible approach to the cost estimation tools, concepts, and techniques needed to support analytical and cost decisions Written with an easy-to-understand approach, Cost Estimation: Methods and Tools provides comprehensive coverage of the quantitative techniques needed by professional cost estimators and for those wanting to learn about this vibrant career field. Featuring the underlying mathematical and analytical principles of cost estimation, the book focuses on the tools and methods used to predict the research and development, production, and operating and support costs for successful cost estimation in industrial, business, and manufacturing processes. The book begins with a detailed historical perspective and key terms of the cost estimating field in order to develop the necessary background prior to implementing the presented quantitative methods. The book proceeds to fundamental cost estimation methods utilized in the field of cost estimation, including working with inflation indices, regression analysis, learning curves, analogies, cost factors, and wrap rates. With a step-by-step introduction to the practicality of cost estimation and the available resources for obtaining relevant data, Cost Estimation: Methods and Tools also features: Various cost estimating tools, concepts, and techniques needed to support business decisions Multiple questions at the end of each chapter to help readers obtain a deeper understanding of the discussed methods and techniques An overview of the software used in cost estimation, as well as an introduction to the application of risk and uncertainty analysis A Foreword from Dr. Douglas A. Brook, a professor in the Graduate School of Business and Public Policy at the Naval Postgraduate School, who spent many years working in the Department of Defense acquisition environment Cost Estimation: Methods and Tools is an excellent reference for academics and practitioners in decision science, operations research, operations management, business, and systems and industrial engineering, as well as a useful guide in support of professional cost estimation training and certification courses for practitioners. The book is also appropriate for graduate-level courses in operations research, operations management, engineering economics, and manufacturing and/or production processes.

How organizations can effectively put experience at the center of the development process Research increasingly and conclusively shows that effective leaders continue to learn, grow, and change throughout their careers and that a significant part of this development occurs through on-the-job experiences. Co-Published by the Society of Industrial and Organizational Psychology and sponsored by the Center for Creative Leadership, Using Experience to Develop Leadership Talent provides real-world strategies, best practices, lessons learned, and global perspectives on how organizations effectively use experience to develop talent. Provides an in-depth look at a variety of leader development initiatives that have taken up the challenge of putting experience at the center of the development process Written by senior practitioners who have implemented initiatives they write about Shares new development planning tools, systematic approaches to managing the assignments of high potentials, tools to educate managers on how to find assignments that meet their employee's development needs Includes online resources that allow employees to search for development opportunities Describing challenges and practices in multinational companies around the world, Using Experience to Develop Leadership Talent will serve as a focused guide to how organizations can use on-the-job development to reshape leader development practices that better integrate work and learning.

The NTL Handbook of Organization Development and Change, Second Edition The NTL Handbook of Organization Development and Change is a vital tool for anyone who wants to know how to effectively bring about meaningful and sustainable change in organizations—even in the state of turbulence and complexity that today’s organizations encounter. Featuring contributions from leading practitioners and scholars in the field, each chapter explores a key aspect of organization development. In this new edition, each of the 34 chapters has been revised in response to recommendations from the contributors and NTL members. “These 34 chapters articulate exactly what grounds organization development! Issues and perspectives involving training, groups, practice, and the global world are current and thought provoking.” —Therese F. Yaeger Ph.D., professor, OB/OD Department, College of Business, Benedictine University “There is no other source that offers such a rich array of the most current and future-thinking topics from so many leaders in the field.” —Robert Gass, Ed.D., co-founder, Rockwood Leadership Institute “The editors accomplish the difficult task of including theory, concept, and method that will appeal to the academic community as well as those who are focused on being an effective practitioner.” —John D. Carter, Ph.D., president, Gestalt OSD Center

A super practical guide to building a successful business by spending ninety minutes a day on the stuff that really matters. Have you got a brilliant business idea, but are not sure how to find the time to start making it a reality? Or perhaps you have your dream up and running but you need help to grow? Join best-selling author and multi-award winning entrepreneur, Nigel Botterill, and his co-author Martin Gladdish, as they explore the history, wisdom and uncanny natural phenomena that surrounds each 90 minute chunk of time that we live in and equip you with the tools to think big, grow fast and build your successful business in those 90–minute chunks! Build Your Business in 90 Minutes A Day reveals lessons from the true stories of everyday entrepreneurs who dedicate 90 minutes a day to building their success. Woven amongst these inspirational tales are the remarkable accounts of world-changing events from English history, space and popular culture, that were determined in just 90 minutes. Amidst pages of startling science fact surrounding this magical number, you will learn just how powerful it can be when applied to your life. An hour and a half will never seem quite the same again. Nigel has built eight separate million pound+ businesses from scratch and won a shed full of awards in the process. No one knows better than him what it takes to build big businesses fast! Designed to be read in just 90 minutes (plus a few extra bits) Packed with tools to help you think big, grow fast and build a successful business A mixture of wisdom, teaching and success stories from Nigel Botterill and the entrepreneurs he has helped

In this collection of critical surveys the reader is provided with a range of up-to-date work from some of the leading scholars in the area, writing on private and public sector aspects of savings and wealth accumulation. A survey of savings and wealth accumulation which are important dimensions of research and policy debates Discusses the measurement of genuine savings and sustainability, the estimation of wealth inequality, and recent developments in consumer credit and defaults Evaluates the impact of student loans on financial well-being, people’s retirement decisions, and the impact of pension reform Considers the distribution of wealth across generations and the importance of accurately measuring government debt, the rise of sovereign wealth funds and Islamic banking and finance

An authoritative handbook on risk management techniques and simulations as applied to financial engineering topics, theories, and statistical methodologies The Handbook of Financial Risk Management: Simulations and Case Studies illustrates the prac­tical implementation of simulation techniques in the banking and financial industries through the use of real-world applications. Striking a balance between theory and practice, the Handbook of Financial Risk Management: Simulations and Case Studies demonstrates how simulation algorithms can be used to solve practical problems and showcases how accuracy and efficiency in implementing various simulation methods are indispensable tools in risk management. The book provides the reader with an intuitive understanding of financial risk management and deepens insight into those financial products that cannot be priced traditionally. The Handbook of Financial Risk Management also features: Examples in each chapter derived from consulting projects, current research, and course instruction Topics such as volatility, fixed-income derivatives, LIBOR Market Models, and risk measures Over twenty-four recognized simulation models Commentary, data sets, and computer subroutines available on a chapter-by-chapter basis As a complete reference for practitioners, the book is useful in the fields of finance, business, applied statistics, econometrics, and engineering. The Handbook of Financial Risk Management is also an excellent text or supplement for graduate and MBA-level students in courses on financial risk management and simulation.

As commodity markets have continued their expansion an extensive and complex financial industry has developed to service them. This industry includes hundreds of participating firms, including asset managers, brokers, consultants, verification agencies and a myriad of other institutions. Universities and other training institutions have responded to this rapid expansion of commodity markets as well as their substantial future growth potential by launching specialized courses on the subject. The Economics of Commodity Markets attempts to bridge the gap between academics and working professionals by way of a textbook that is both theoretically informative and practical. Based in part on the authors’ teaching experience of commodity finance at the University Paris Dauphine, the book covers all important commodity markets topics and includes coverage of recent topics such as financial applications and intuitive economic reasoning. The book is composed of three parts that cover: commodity market dynamics, commodities and the business cycle, and commodities and fundamental value. The key original approach to the subject matter lies in a shift away from the descriptive to the econometric analysis of commodity markets. Information on market trends of commodities is presented in the first part, with a strong emphasis on the quantitative treatment of that information in the remaining two parts of the book. Readers are provided with a clear and succinct exposition of up-to-date financial economic and econometric methods as these apply to commodity markets. In addition a number of useful empirical applications are introduced and discussed. This book is a self-contained offering, discussing all key methods and insights without descending into superfluous technicalities. All explanations are structured in an accessible manner, permitting any reader with a basic understanding of mathematics and finance to work their way through all parts of the book without having to resort to external sources.

Presents recent advances in both models and systems for intelligent decision making. Organisations often face complex decisions requiring the assessment of large amounts of data. In recent years Multicriteria Decision Aid (MCDA) and Artificial Intelligence (AI) techniques have been applied with considerable success to support decision making in a wide range of complex real-world problems. The integration of MCDA and AI provides new capabilities relating to the structuring of complex decision problems in static and distributed environments. These include the handling of massive data sets, the modelling of ill-structured information, the construction of advanced decision models, and the development of efficient computational optimization algorithms for problem solving. This book covers a rich set of topics, including intelligent decision support technologies, data mining models for decision making, evidential reasoning, evolutionary multiobjective optimization, fuzzy modelling, as well as applications in management and engineering. Multicriteria Decision Aid and Artificial Intelligence: Covers all of the recent advances in intelligent decision making. Includes a presentation of hybrid models and algorithms for preference modelling and optimisation problems. Provides illustrations of new intelligent technologies and architectures for decision making in static and distributed environments. Explores the general topics on preference modelling and learning, along with the coverage of the main techniques and methodologies and applications. Is written by experts in the field. This book provides an excellent reference tool for the increasing number of researchers and practitioners interested in the integration of MCDA and AI for the development of effective hybrid decision support methodologies and systems. Academics and post-graduate students in the fields of operational research, artificial intelligence and management science or decision analysis will also find this book beneficial.