This is the state-of-the-art, international handbook for a field of inquiry that is still emergent and yet occupies a central position in contemporary management and organization theory. Mark Easterby-Smith and Marjorie Lyles have drawn together in their authoritative reference work original essays from the leading scholars in organizational learning and knowledge management around the world.

Not least in importance is the linkage they make between these two adjacent areas: learning and knowledge are often debated separately despite their close relationship. In this volume leading scholars from the fields of organizational learning, the learning organization, knowledge management and organizational knowledge, examine the issues and debates, as well as the processes and management implications, that are key to each of these approaches. The resulting set of essays offers researchers and students an invaluable guide.

Tracing the roots of learning and knowledge debates across the disciplines of economics, psychology, and social theory, and charting the key contributions scholars have made, this is a major, in-depth overview which all scholars of organizational learning and knowledge management will need on their shelves.

"Outstanding business insights in a work brimming with energy and vitality." -Kirkus Reviews In this visual guide to thriving in the midst of chaos, scientist, entrepreneur and "Reinvention Guru" Dr. Nadya Zhexembayeva brings together the insights from a community of 3000+ "reinventors" to offer a bold new method for business resilience during disruptive times. Running a successful business amidst constant change is overwhelming. Just as we handle one disruption, another crisis looms on the horizon. How do you survive and even thrive? 4-time TEDx speaker Dr. Nadya Zhexembayeva and her global Chief Reinvention Officer community understand the struggle and helped countless companies and leaders deal with change by reinventing their products, processes, and leadership practices. Now she brings to you a powerful blend of cross-disciplinary research and battle-tested tools to help you diagnose, design, and implement a reinvention system that allows your company to stop combatting or resisting change - and instead helps you turn every disruption into your greatest opportunity.

This book presents 27 methods of the Multiple Attribute Decision Making (MADM), which are not discussed in the existing books, nor studied in details, using more applications. Nowadays, decision making is one of the most important and fundamental tasks of management as an organizational goal achievement that depends on its quality. Decision making includes the correct expression of objectives, determining different and possible solutions, evaluating their feasibility, assessing the consequences, and the results of implementing each solution, and finally, selecting and implementing the solution. Multiple Criteria Decision Making (MCDM) is sum of the decision making techniques. MCDM is divided into the Multiple Objective Decision Making (MODM) for designing the best solution and MADM for selecting the best alternative. Given that the applications of MADM are mostly more than MODM, wide various techniques have been developed for MADM by researchers over the last 60 years, and the current book introduces some of the other new MADM methods.

Safety is a major concern of society and touches on many areas of human activity. One important component of safety is the reliability of equipment and systems and the actions of the professionals, who design, build and operate them. Modelling methods have been developed to assess the risk associated with taking decisions relating to the design, maintenance or operation of a system. Such models include the element of uncertainty inherent in the behaviour of any given system. There are a number of theories, techniques and methods available, continuously being developed and improved, which evaluate the safety and reliability of systems, ensuring that these are operated and managed in a way as to keep the associated risks within the boundaries of what is considered tolerable or acceptable. These proceedings highlight the theories and methods used to assess safety and reliability, presenting them as powerful tools for decision-making which can be used effectively to manage the daily risks to which modern society is exposed.

Are you planning the Transition and Activation of a new healthcare project? This easy-to-use guide provides readers with the fundamentals of the transition, activation, and operational planning process and is essential for anyone involved in activating a new healthcare space. Developed by a highly experienced healthcare consulting company, Yellow Brick Consulting Inc., this straightforward planning roadmap tackles the high-risk and problem-prone strategic initiative of activating healthcare construction projects. Utilizing project management experience from healthcare projects of varying sizes, scopes and complexities, this book shares best practices and provides insight as to how to avoid common pitfalls through strategic planning. Simplifying the Complex provides the framework to establish a consistent process throughout the Transition and Activation Planning process, including project kickoff, budget development, building readiness, and people readiness. Each chapter guides the reader through the stages of the planning process and provides the tools necessary for implementing a successful project.

Learning is an essential process for attaining and maintaining sustainability at both the individual and business level. Establishing a learning organization requires a whole-hearted and sustained endeavour. This book facilitates such an endeavour by providing both a coherent framework for analysis and practical models for action. It focuses on the choices organizations make about the design and implementation of specific learning mechanisms.

The authors illustrate this "learning-by-design" approach through six detailed case studies, taken from different industries and national settings and focusing on different aspects of organizational learning. They then present an overall analysis of the cases, capturing the nature of the learning requirements, design dimensions and mechanisms, and looking at how these link to each other and to company strategy, resources, and performance. Various learning paradoxes are discussed, as well as issues that merit further study.Students of management and organizational studies, academics in these fields, and executives will find this a valuable resource for learning, reflection, and practice.

This book provides an introduction to Value at Risk (VaR) and expected tail loss (ETL) estimation and is a student-oriented version of Measuring Market Risk (John Wiley & Sons 2002).

An Introduction to Market Risk Measurement includes coverage of:

• Parametric and non-parametric risk estimation

• Simulation

• Numerical Methods

• Liquidity Risks

• Risk Decomposition and Budgeting

• Backtesting

• Stress Testing

• Model Risk

Divided into two parts, part one discusses the various risk measurement techniques, whilst part two provides a toolkit of the main tools required to understand market risk measurement. A CD is packaged with the book, containing a MATLAB folder of risk measurement functions, in addition to some examples in Excel/VBA.

Numerical methods for the solution of financial instrument pricing equations are fast becoming essential for practitioners of modern quantitative finance. Among the most promising of these new computational finance techniques is the finite difference method–yet, to date, no single resource has presented a quality, comprehensive overview of this revolutionary quantitative approach to risk management.

Pricing Financial Instruments, researched and written by Domingo Tavella and Curt Randall, two of the chief proponents of the finite difference method, presents a logical framework for applying the method of finite difference to the pricing of financial derivatives. Detailing the algorithmic and numerical procedures that are the foundation of both modern mathematical finance and the creation of financial products–while purposely keeping mathematical complexity to a minimum–this long-awaited book demonstrates how the techniques described can be used to accurately price simple and complex derivative structures.

From a summary of stochastic pricing processes and arbitrage pricing arguments, through the analysis of numerical schemes and the implications of discretization–and ending with case studies that are simple yet detailed enough to demonstrate the capabilities of the methodology– Pricing Financial Instruments explores areas that include:

• Pricing equations and the relationship be-tween European and American derivatives
• Detailed analyses of different stability analysis approaches
• Continuous and discrete sampling models for path dependent options
• One-dimensional and multi-dimensional coordinate transformations
• Numerical examples of barrier options, Asian options, forward swaps, and more

With an emphasis on how numerical solutions work and how the approximations involved affect the accuracy of the solutions, Pricing Financial Instruments takes us through doors opened wide by Black, Scholes, and Merton–and the arbitrage pricing principles they introduced in the early 1970s–to provide a step-by-step outline for sensibly interpreting the output of standard numerical schemes. It covers the understanding and application of today’s finite difference method, and takes the reader to the next level of pricing financial instruments and managing financial risk.

Praise for Pricing Financial Instruments

"Pricing Financial Instruments is the first broad and accessible treatment of finite difference methods for pricing derivative securities. The authors have taken great care to clearly explain both the origins of the pricing problems in a financial setting, as well as many practical aspects of their numerical methods. The book covers a wide variety of applications, such as American options and credit derivatives. Both financial analysts and academic asset-pricing specialists will want to own a copy."–Darrell Duffie, Professor of Finance Stanford University

"In my experience, finite difference methods have proven to be a simple yet powerful tool for numerically solving the evolutionary PDEs that arise in modern mathematical finance. This book should finally dispel the widely held notion that these methods are somehow difficult or abstract. I highly recommend it to anyone interested in the implementation of these methods in the financial arena."–Peter Carr, Principal Bank of America Securities

"A very comprehensive treatment of the application of finite difference techniques to derivatives finance. Practitioners will find the many extensive examples very valuable and students will appreciate the rigorous attention paid to the many subtleties of finite difference techniques."–Francis Longstaff, Professor The Anderson School at UCLA

"The finite difference approach is central to the numerical pricing of financial securities. This book gives a clear and succinct introduction to this important subject. Highly recommended."–Mark Broadie, Associate Professor School of Business, Columbia University

For updates on new and bestselling Wiley Finance books: wiley.com/wbns

"How can I keep knowledge from walking out the door when employees leave?" This pressing question is insightfully answered in this landmark book. Operational knowledge has never been more critical to organizational success. Knowledge loss from downsizing, imminent baby-boomer retirements, and high job turnover have created a knowledge continuity crisis that poses an unprecedented threat to organizational productivity and profits. Based on extensive research, Continuity Management solves this crucial problem of knowledge loss for managers at any organizational level by describing an effective strategy for preserving knowledge continuity between employee generations. Revolutionary in its effect, but evolutionary in its practice, continuity management is fueling a new knowledge revolution. This book is about that revolution-and how to lead it."

ADVANCE PRAISE FOR CONTINUITY MANAGEMENT

"The book you're holding can help you reverse the tide of 'corporate forgetting.' It explains how to manage the entire cycle of identifying, transferring, and harnessing your company's operational knowledge. And that's key because knowledge continuity is quickly becoming the new competitive battlefield. Tip the balance in your favor by reading this thoughtful book." —Mike Ruettgers, Executive Chairman, EMC Corporation

"This is the first book to examine in detail the loss of knowledge caused by downsizing and turnover and the first to offer a viable solution. This break-through method for maintaining knowledge continuity between employee generations will change the corporate landscape for years to come." —Murray Martin, Group President, Global Mail, Pitney Bowes Inc.

"Continuity management is the missing link in knowledge management that will mean significant increases in productivity and knowledge creation-cutting-edge thinking regarding knowledge as a corporate asset." —Newton F. Crenshaw, Vice President, Eli Lilly and Company, E.Lilly Division

"The concepts presented in Continuity Management, provide essential guidance for how soldiers can leverage the Army's knowledge, so we can adapt to each new fight and win our nation's wars." —Lieutenant General Peter Cuviello, Chief Information Officer, U.S. Army

"This is a topic that is at the top of the list for many organizations and Beazley, Boenisch, and Harden have provided a compelling way to address it in Continuity Management. They 'get it' that the knowledge that employees have is not just individual understanding, but is embedded within a community. Continuity Management is an insightful blend of individual and community responsibility for organizational knowledge." —Nancy M. Dixon, Organizational Knowledge Consultant and author of Common Knowledge

This research-oriented book presents key contributions on architecting the digital transformation. It includes the following main sections covering 20 chapters: * Digital Transformation * Digital Business * Digital Architecture * Decision Support * Digital Applications Focusing on digital architectures for smart digital products and services, it is a valuable resource for researchers, doctoral students, postgraduates, graduates, undergraduates, academics and practitioners interested in digital transformation.

This book has resulted from the activities of IFAC TC 5.2 "Manufacturing Modelling for Management and Control". The book offers an introduction and advanced techniques of scheduling applications to cloud manufacturing and Industry 4.0 systems for larger audience. This book uncovers fundamental principles and recent developments in the theory and application of scheduling methodology to cloud manufacturing and Industry 4.0. The purpose of this book is to present recent developments in scheduling in cloud manufacturing and Industry 4.0 and to systemize these developments in new taxonomies and methodological principles to shape this new research domain. This book addresses the needs of both researchers and practitioners to uncover the challenges and opportunities of scheduling techniques' applications to cloud manufacturing and Industry 4.0. For the first time, it comprehensively conceptualizes scheduling in cloud manufacturing and Industry 4.0 systems as a new research domain. The chapters of the book are written by the leading international experts and utilize methods of operations research, industrial engineering and computer science. Such a multi-disciplinary combination is unique and comprehensively deciphers major problem taxonomies, methodologies, and applications to scheduling in cloud manufacturing and Industry 4.0.

Science reassures, art disturbs (Proverb)

This intriguing exploration of underlying forces in decision making takes as its starting point a wealth of high profile decision disasters. In brilliantly readable analyses, Helga Drummond shows how better awareness of the inherent uncertainties of the decision making process could have made the outcomes very different.

Examples showcased include:

The Hatfield rail crash
The Kursk submarine disaster
The Challenger disaster
The year 2000 fuel crisis
The WWII Dardanelles expedition
The Barings Bank collapse
The Taurus Stock Exchange Project The Hillsborough tragedy
The King's Cross underground fire
The Millennium Dome

This entertaining yet instructive book offers new insight into the realities of decision making, and shows how you can confront them to improve your prospects of success.

This book deals with stochastic combinatorial optimization problems in supply chain disruption management, with a particular focus on management of disrupted flows in customer-driven supply chains. The problems are modeled using a scenario based stochastic mixed integer programming to address riskneutral, risk-averse and mean-risk decision-making in the presence of supply chain disruption risks. The book focuses on integrated disruption mitigation and recovery decision-making and innovative, computationally efficient multi-portfolio approach to supply chain disruption management, e.g., selection of primary and recovery supply portfolios, demand portfolios, capacity portfolios, etc. Numerous computational examples throughout the book, modeled in part on realworld supply chain disruption management problems, illustrate the material presented and provide managerial insights. Many propositions formulated in the book lead to a deep understanding of the properties of developed stochastic mixed integer programs and optimal solutions. In the computational examples, the proposed mathematical programming models are solved using an advanced algebraic modeling language such as AMPL and CPLEX, GUROBI and XPRESS solvers. The knowledge and tools provided in the book allow the reader to model and solve supply chain disruption management problems using commercially available software for mixed integer programming. Using the end-of chapter problems and exercises, the monograph can also be used as a textbook for an advanced course in supply chain risk management. After an introductory chapter, the book is then divided into six main parts. Part I addresses selection of a supply portfolio; Part II considers integrated selection of supply portfolio and scheduling; Part III looks at integrated, equitably efficient selection of supply portfolio and scheduling; Part IV examines integrated selection of primary and recovery supply and demand portfolios and production and inventory scheduling, Part V deals with selection of resilient supply portfolio in multitier supply chain networks; and Part VI addresses selection of cybersecurity safequards portfolio for disruption management of information flows in supply chains.

This book presents a range of qualitative and quantitative analyses in areas such as cybersecurity, sustainability, multivariate analysis, customer satisfaction, parametric programming, software reliability growth modeling, and blockchain technology, to name but a few. It also highlights integrated methods and practices in the areas of machine learning and genetic algorithms. After discussing applications in supply chains and logistics, cloud computing, six sigma, production management, big data analysis, satellite imaging, game theory, biometric systems, quality, and system performance, the book examines the latest developments and breakthroughs in the field of science and technology, and provides novel problem-solving methods. The themes discussed in the book link contributions by researchers and practitioners from different branches of engineering and management, and hailing from around the globe. These contributions provide scholars with a platform to derive maximum utility in the area of analytics by subscribing to the idea of managing business through system sciences, operations, and management. Managers and decision-makers can learn a great deal from the respective chapters, which will help them devise their own business strategies and find real-world solutions to complex industrial problems.

This book includes a spectrum of concepts, such as performance, productivity, operations research, econometrics, and data science, for the practically and theoretically important areas of 'productivity analysis/data envelopment analysis' and 'data science/big data'. Data science is defined as the collection of scientific methods, processes, and systems dedicated to extracting knowledge or insights from data and it develops on concepts from various domains, containing mathematics and statistical methods, operations research, machine learning, computer programming, pattern recognition, and data visualisation, among others. Examples of data science techniques include linear and logistic regressions, decision trees, Naive Bayesian classifier, principal component analysis, neural networks, predictive modelling, deep learning, text analysis, survival analysis, and so on, all of which allow using the data to make more intelligent decisions. On the other hand, it is without a doubt that nowadays the amount of data is exponentially increasing, and analysing large data sets has become a key basis of competition and innovation, underpinning new waves of productivity growth. This book aims to bring a fresh look onto the various ways that data science techniques could unleash value and drive productivity from these mountains of data. Researchers working in productivity analysis/data envelopment analysis will benefit from learning about the tools available in data science/big data that can be used in their current research analyses and endeavours. The data scientists, on the other hand, will also get benefit from learning about the plethora of applications available in productivity analysis/data envelopment analysis.

This best selling management book is a true classic. If you want to be a model manager, keep this new, even better 3rd edition close at hand. Key Management Models has the winning combination of brevity and clarity, giving you short, practical overviews of the top classic and cutting edge management models in an easy-to-use, ready reference format. Whether you want to remind yourself about models you've already come across, or want to find new ones, you'll find yourself referring back to it again and again. It's the essential guide to all the management models you'll ever need to know about. Includes the classic and essential management models from the previous 2 editions. Thoroughly updated to include cutting edge new models. Two-colour illustrations and case studies throughout.

This business book is great for leaders, middle managers and entrepreneurs interested in the following categories; STRATEGY, LEADERSHIP AND MANAGEMENT, ENTREPRENEURSHIP

Choose from the seven value plays to set the broad direction the firm should head in, and gain your competitive advantage. Each play has an associated set of capabilities which deliver customer value efficiently:

SPECIALIZATION - choose to focus on a single product or product group and compete through superior product performance.

ADAPTIVE - increase the system’s ability to respond to changing circumstances, particularly to changing customer needs.

LOW COST - Deliver equivalent product quality compared to competitors but with a continual and relentless focus on cost reduction

INNOVATION - Competing through product innovations.

EXCELLENCE - Continuous incremental improvement of product or service quality

NO-FRILLS - Serve price sensitive customers with a stripped down alternative product or service.

TARGETING - Focus on a specific market segment and serve the needs of these customers more effectively than less targeted rivals.

Built on insights from research into economics, strategy, organization theory and complexity science, you’ll discover a practical approach to creating value for your business in turbulent times, with advice on how to enable these plays with the structures, systems and culture of your business.

The definitive guide on the roles and responsibilities of the business analyst

"Business Analysis" offers a complete description of the process of business analysis in solving business problems. Filled with tips, tricks, techniques, and guerilla tactics to help execute the process in the face of sometimes overwhelming political or social obstacles, this guide is also filled with real world stories from the author's more than thirty years of experience working as a business analyst.Provides techniques and tips to execute the at-times tricky job of business analystWritten by an industry expert with over thirty years of experience

Straightforward and insightful, "Business Analysis" is a valuable contribution to your ability to be successful in this role in today's business environment.

A consultant friend worked for an international corporation. For the first three years he worked very hard, introducing lean production techniques into the business. This meant introducing measurement systems, benchmarking methodologies and eliminating waste in many forms through involvement and empowerment. He also made recommendations that led to new information systems whose implementation he led. The arrival of the interest in the learning organization allowed him to integrate everything he had laboured over into a coherent whole. When the knowledge revolution began to grow, he was convinced that what he had been doing had been part of that revolution. But one day, after three years of hard work across the corporation's plants around the world, he was allowed a glimpse of the real business knowledge that drove the organization. And to his initial sense of disbelief, this 'real' knowledge had nothing to do with efficiency, utilization or the involvement of large numbers of people. This 'real' knowledge turned out to be about knowing when to get into a market, when to get out; how to create value in that market and manage its decline. This knowledge was shared between three key individuals and by being allowed to see it, my friend was being invited to participate in a very privileged game. The question he kept asking himself, was: how could he have missed the real knowledge for so long? How could he have confused what turned out to be minor tactics with a strategy?
Victor Newman
(Excerpt from The Knowledge Activist's Handbook)

Business Decision Analysis is part of a major new national programme of texts and modules designed for undergraduate students on Business Studies degree courses. It provides 150 hours of high quality study to be used in a supported learning environment. The module provides a comprehensive introduction to the quantitative analysis and solution of business problems and covers some of the key topics in the field, including an introduction to model building for business decision analysis, linear programming, regression analysis, time--series analysis and simulation techniques. Business Decision Analysis contains numerous activities and exercises to develop an understanding of the subject, including many utilizing Microsoft Excel in version 5.0 or later (not supplied with this publication). The module provides the most effective teaching and learning resource available at this level.

Risk management is not just a topic for risk professionals. Managers and directors at all levels must be equipped with an understanding of risk and the tools and processes required to assess and manage it successfully. Risk Management offers a practical and structured approach while avoiding jargon, theory and many of the complex issues that preoccupy risk management practitioners but have little relevance for non-specialists. Supported by online templates and with real-life examples throughout, this is a straightforward and engaging guide to the practice and the benefits of good risk management. Coverage includes: the nature of risk; the relevance of risk management to the business model; essential elements of the risk management process; different approaches to risk assessment; strategy, tactics, operations and compliance requirements; how to build a risk-aware culture; and the importance of risk governance. Online supporting resources for this book include downloadable templates including risk agenda, risk response and risk communication.

The comprehensive and crystal-clear companion to making the right acquisition decisions and executing them well: Acquisition is the most powerful corporate development tool available to companies and will therefore always be on the business agenda. Very practical and easy to follow: diagrams, checklists and case studies throughout. The authors have an accessible style and approach The Audience: High level entrepreneurs, senior executives, directors, and business strategists. Updates include: new and updated case studies, analysis of different types of company and how this could affect the transaction, a guide to working with external advisors.

Team power revealed through real-world examples of success
This book gives you a real-world perspective on using teams to reengineer your organization. You'll discover what it takes to achieve aggressive and challenging goals for quality, productivity, and cost-effectiveness.
Inside Teams covers:

* Using teamwork to redesign core processes
* Making teams work in union and non-union facilities
* Building teams from the ground up
* And more

Go behind the scenes with Colgate-Palmolive, Miller Brewing, Company, Wilson Sporting Goods, and others and prepare your organization for reengineering through teamwork.