Every business should introduce new technologies to improve their performance? The only way to innovate is to think outside of the box? And obviously, having a Chief Strategy Officer is a guarantee of success. Really? The reality is that there are no magic recipes for success. If there were, every company would use them, and no single company would be outstanding. Business strategy is messy, requires hard graft and is difficult to get right. And yet the world of strategy is dominated by management consultants and business gurus making sweeping generalizations, oversimplifying business thinking and peddling their own unfounded ideas. But do these methods actually work? Myths of Strategy debunks thirty of these most common strategy sagas, cutting through consultant hyperbole and provide you with tried and test business ideas that will make your company more successful. About the Business Myths series... The Business Myths series tackles the falsehoods that pervade the business world. From leadership and management to social media, strategy and the workplace, these accessible books overturn out-of-date assumptions, skewer stereotypes and put oft-repeated slogans to the test. Entertaining and rigorously researched, these books will equip you with the insight and no-nonsense wisdom you need to succeed.

This second edition - completely up to date with new exercises - provides a comprehensive and self-contained treatment of the probabilistic theory behind the risk-neutral valuation principle and its application to the pricing and hedging of financial derivatives. On the probabilistic side, both discrete- and continuous-time stochastic processes are treated, with special emphasis on martingale theory, stochastic integration and change-of-measure techniques. Based on firm probabilistic foundations, general properties of discrete- and continuous-time financial market models are discussed.

Risk communication: the evolution of attempts Risk communication is at once a very new and a very old field of interest. Risk analysis, as Krimsky and Plough (1988:2) point out, dates back at least to the Babylonians in 3200 BC. Cultures have traditionally utilized a host of mecha nisms for anticipating, responding to, and communicating about hazards - as in food avoidance, taboos, stigma of persons and places, myths, migration, etc. Throughout history, trade between places has necessitated labelling of containers to indicate their contents. Seals at sites of the ninth century BC Harappan civilization of South Asia record the owner and/or contents of the containers (Hadden, 1986:3). The Pure Food and Drug Act, the first labelling law with national scope in the United States, was passed in 1906. Common law covering the workplace in a number of countries has traditionally required that employers notify workers about significant dangers that they encounter on the job, an obligation formally extended to chronic hazards in the OSHA's Hazard Communication regulation of 1983 in the United States. In this sense, risk communication is probably the oldest way of risk manage ment. However, it is only until recently that risk communication has attracted the attention of regulators as an explicit alternative to the by now more common and formal approaches of standard setting, insuring etc. (Baram, 1982)."

Under intense scrutiny for the last few decades, Multiple Objective Decision Making (MODM) has been useful for dealing with the multiple-criteria decisions and planning problems associated with many important applications in fields including management science, engineering design, and transportation. Rough set theory has also proved to be an effective mathematical tool to counter the vague description of objects in fields such as artificial intelligence, expert systems, civil engineering, medical data analysis, data mining, pattern recognition, and decision theory. Rough Multiple Objective Decision Making is perhaps the first book to combine state-of-the-art application of rough set theory, rough approximation techniques, and MODM. It illustrates traditional techniques-and some that employ simulation-based intelligent algorithms-to solve a wide range of realistic problems. Application of rough theory can remedy two types of uncertainty (randomness and fuzziness) which present significant drawbacks to existing decision-making methods, so the authors illustrate the use of rough sets to approximate the feasible set, and they explore use of rough intervals to demonstrate relative coefficients and parameters involved in bi-level MODM. The book reviews relevant literature and introduces models for both random and fuzzy rough MODM, applying proposed models and algorithms to problem solutions. Given the broad range of uses for decision making, the authors offer background and guidance for rough approximation to real-world problems, with case studies that focus on engineering applications, including construction site layout planning, water resource allocation, and resource-constrained project scheduling. The text presents a general framework of rough MODM, including basic theory, models, and algorithms, as well as a proposed methodological system and discussion of future research.

This book takes a fresh look at safety decision-making by documenting and examining stories told by front-line managers in three different high-hazard industries: a chemical plant, a nuclear power station and an air-navigation service provider. From Piper Alpha to Deepwater Horizon, accident analysis has stressed the importance of excellent decision-making by those in charge out in the field. Organizations rely critically on the judgement and experience of such senior operations personnel and yet these qualities are undervalued in a business environment that emphasises documentation and measurement. Whilst operational managers are guided by rules, they also draw on their own long experience and can formulate a situation-specific 'line in the sand' to apply the experience of the operating team to complex, real-world situations that rule writers may not have foreseen. This volume refocuses our attention on the people who make these important decisions and the organizational processes that support the best choices. Jan Hayes uses her multi-disciplinary experience to draw together an account of safety decision-making that is both technically robust and yet accessible to academics, practitioners and regulators alike. Readers will see that the stories retold in this book provide a way for operational managers to share their knowledge, experience and expertise - with each other and with us.

The book analyzes, compares, and contrasts tools and techniques used in risk management at corporate, strategic business and project level and develops a risk management mechanism for the sequencing of risk assessment through corporate, strategic and project stages of an investment in order to meet the requirements of the 1999 Turnbull report. By classifying and categorizing risk within these levels it is possible to drill down and roll-up to any level of the organizational structure and to establish the risks that each project is most sensitive to, so that appropriate risk response strategies may be implemented to benefit all stakeholders.

"The new edition of this book provides a clear insight into the intricacies of corporate risk management and the addition of the case study exemplars aids understanding of the management of multiple projects in the real world."
--Professor Nigel Smith, Head of the School of Civil Engineering, University of Leeds

Envision this scenario: An industrial manufacturer is breaking itself in three, and its board chair asks you, the chief financial officer, to step up to the helm of one of the spin-offs. You will take charge of everything, from plant operations and product marketing to human resources and governance practices. Are you ready to lead? In The Leader's Checklist, 10th Anniversary Edition: 16 Mission-Critical Principles, world-renowned leadership expert and Wharton professor Michael Useem shows you how to lead through any challenge-and shares how ITT's Denise Ramos did just that when she encountered this situation. In this illuminating guide, Useem offers a Leader's Checklist that will help you develop your ability to make good and timely decisions in unpredictable and stressful environments-for those moments when leadership really matters. To illustrate the principles, Useem examines where leaders go right-and wrong. He looks at:How Ramos, the former CEO of ITT, turned around the once-struggling enterprise; How AIG's tone-deaf response to the tumultuous events of the global financial crisis left the company vulnerable to one of the greatest corporate collapses in business history; andHow Virginia Rometty, the former executive chair of IBM, acquired and integrated a cloud-computing company to help turn around IBM's fortunes. Based on Useem's own research experience and an array of leadership investigators, thinkers, and practitioners, The Leader's Checklist offers actionable insights you can put into practice as a leader today.

This book provides students with an in-depth understanding of the concepts, frameworks and processes used to analyze and present visual data for better decision-making. Expert contributors provide guidance in translating complex concepts from large data sets and how this translation drives management practice. The book's first part provides a descriptive consideration of state-of-the-art science in visual design. The second part complements the first with a rich set of cases and visual examples, illustrating development and best practice to provide students with real-world context. Through their presentation of modern scientific principles, the editors inspire structured discussions of audience and design, recognizing differences in need, bias and effective processes across contexts and stakeholders. This cutting-edge resource will be of value to students in business analytics, business communication and management science classes, who will learn to be capable managers through the effective and direct visual communication of data. Researchers and practitioners will also find this an engaging and informative book.

Safety is not easy, it is a full time effort, and is equally important whether people are on the job or on personal time. If an organization is serious about mission success, it must take 'risk' seriously as well. Leaders need to be involved in the risk game at every turn, and understand the key elements (discussed throughout this book) that help them to win. Winning the risk game is what safety is all about. As in operational success, risk management requires the best human faculties to achieve victory; talent of organizational players and commitment from top leadership rule the day. The book covers leadership, safety programs, and risk management for organizations and individuals. It helps in professional development, grooming current and future leaders to understand their roles in safety and risk management. Central to the author's message are: Seven truths of safety that the author discovered as a senior safety officer. Four roadblocks to achieving zero mishaps that must be aggressively addressed. Nine elements to risk reduction, with which leaders must become familiar. He establishes the importance of an organizational leader's role in the safety/risk management game and provides the answer to, 'How safe is safe enough?' Often, managers at various levels do not have an understanding of what goes into a safety program, this book tells them, from an expert's view. The readership includes: executives and middle management; all leaders as a professional development book and students. It is also a supplemental textbook for safety and risk management courses.

Decision Analysis for Management Judgment is unique in its breadth of coverage of decision analysis methods. It covers both the psychological problems that are associated with unaided managerial decision making and the decision analysis methods designed to overcome them. It is presented and explained in a clear, straightforward manner without using mathematical notation. This latest edition has been fully revised and updated and includes a number of changes to reflect the latest developments in the field.

The effective management of knowledge assets is a key requirement for securing competitive advantage in the emerging information economy. Yet the nature of knowledge assets, however, remains poorly understood. In this new work, Max Boisot provides a conceptual framework for managers and students that will help them explore and understand how knowledge and information assets differ from physical assets, and how to deal with them at a strategic level within their organizations.

Good leaders walk a tightrope between doing and daring - often in the glare of the public spotlight. In Leadership in the Headlines, Andrew Hill, the award-winning Management Editor of the Financial Times, shares his insider insights into the who's and how's of effective leadership. Packed with practical lessons, this book divides the best of Andrew's wry and insightful columns into eight 'acts' of leadership, with new commentary enhancing each one. Whether you're new to Andrew Hill's columns or a loyal reader, you'll gain fresh perspectives on the tough job of leading and take away tips about how to refine your own management skills.

In the last few years, competition has become increasingly more complex, variable and dynamic, as can be seen in phenomena like globalization and technological acceleration. To cope with the dynamism and uncertainty of competition, enterprises need capabilities that enable them to respond to competition, as well as to improve their analytical skills and knowledge in order to better manage new strategic projects. Strategic analysis uses both quantitative and qualitative tools to understand both competitive contexts and available company resources. In Strategic Analysis: Processes and Tools, author Andrea Beretta Zanoni develops a theory of strategic analysis and offers models for the application of strategic analysis tools during all phases of the process including planning and decision-making, the development of control, and the formulation of a strategic diagnosis.

"The one, only, and by far the best book synthesizing psychology and investing. In addition to providing modern, scientific knowledge about psychology, this book provides a mirror into the mind and wide breadth of knowledge of one of the leading practitioners of brief and effectual cures. Will help to cure your trading and your life."
–Victor Niederhoffer, Chief Speculator, Manchester Investments
Author, The Education of a Speculator and Practical Speculation

"How refreshing! A book that rises above the old NLP model of the 80’s and provides insights on how our relationship with the market is indeed a very personal one. Not only has Steenbarger provided some fantastic tools for the trader to transform his mindset, but he has contributed unique trading ideas as well. Brilliant!"
–Linda Raschke, President, LBRGroup, Inc.

"‘Investigate, before you invest’ was for many years the slogan of the New York Stock Exchange. I always thought a better one would be, ‘Investigate YOURSELF, before you invest.’ The Psychology of Trading should help you increase your annual investment rate of return. Mandatory reading for anyone intending to earn a livelihood through trading. "
–Yale Hirsch, The Hirsch Organization Inc., Editor, The Stock Trader’s Almanac

"This highly readable, highly educational, and highly entertaining book will teach you as much about yourself as about trading. It’s Oliver Sacks meets Mr. Market–extraordinary tales of ordinary professionals and individuals with investment disorders, and how they successfully overcame them. It is a must-read both for private investors who have been shell-shocked in the bear market and want to learn how to start again, as well as for pros who seek an extra edge from extra inner knowledge. Steenbarger’s personal voyage into the mind of the market is destined to become a classic."
–Jon Markman, Managing Editor, CNBC on MSN Money
Author, Online Investing and Swing Trading

"Dr. Steenbarger’s fascinating, highly readable blend of practical insights from his dual careers as a brilliant psychologist and trader will benefit every investor; knowing oneself is as important as knowing the market."
–Laurel Kenner, CNBC.com Columnist, Author, Practical Speculation

'The New Knowledge Management' is the story of the birth of "second-generation knowledge management," told from the perspective of one its chief architects, Mark W. McElroy. Unlike its first-generation cousin, second-generation Knowledge Management seeks to enhance knowledge production, not just knowledge sharing. As a result, 'The New Knowledge Management' expands the overall reach of knowledge management to include "innovation management" for the very first time. 'The New Knowledge Management' introduces the concept of "second-generation knowledge management" to the business community. Mark W. McElroy has assembled a collection of his own essays, written over the past four years, chronicling the development of related thinking in the field. Unlike first-generation KM, mainly focusing on value derived from knowledge sharing, second-generation thinking formally adds knowledge making to the scope of KM. In this way second-generation KM expands the overall reach of KM to include "innovation management" for the very first time. 'The New Knowledge Management' finally begins to bridge the gap between KM and the field of organizational learning, which up until now have been viewed as miles apart.

Frequently (and often inappropriately) decision making in the work environment has been analyzed and modeled in terms of isolated decisions made by one person. In reality, decision making is a continuous, interpersonal process usually involving several ``decision makers'' aiming at dynamic and cooperative control of the state of affairs at work. Based on original contributions from researchers and research teams, this book provides an urgently needed cognitive approach to models of distributed decision making, exploring the basis for design of decision support systems in various complex, collective, modern work environments. It identifies the state of the art of modeling distributed decision making and the problems imposed by modern high-tech systems. A also formulates promising research avenues.

Here is a step-by-step guide to effective action in school districts, agencies, companies, organizations, and communities by using consensus decision-making. This book is based on the advice of experienced public and private leaders and participants who have used consensus approaches to solve problems in past decades. Mirja P. Hanson gives readers an overview of how consensus actually happens as opposed to how it should happen. She details the major pitfalls and critical success factors of consensus decision-making and describes real-life scenarios. Features: * Overviews of the consensus basics including definitions, trends, and comparisons to other forms of decision-making * Results of consensus-building * A description of the dynamics of consensus politics * Strategies that call the process to order * Advice on the pressure points of navigating the dialogue * A description of the ways that participants can enhance and influence consensus solutions The experiments and expertise of consensus pioneers will convince readers to use consensus building as a regular leadership tool for enhancing daily operations and future directions in their community or organization.

This book provides administrators in public and non-profit organizations with direction and a framework from which to lead their organizations effectively. Taking a global approach to the issues administrators need to examine when managing a group of employees at any level (including budgeting and expenditures, forecasting, policy creation and execution, communication and reporting), this book explores the driving forces in organizational decision making. Author Nick Valcik takes a holistic view on organizational management, beginning with the core aspects of public organizations and the leadership competencies necessary to manage an organization successfully. Designed to be used on undergraduate and graduate courses in public administration and in public affairs programs, the book discusses the basics of organizational structure, delves into risk management issues, and offers a set of tools that can be used by administrators to make informed decisions based on actual data or documented processes. Throughout the book, real world case studies provide students and practitioners with a clear understanding of how exactly the right decision tool may be applied when facing a particular decision in any organization.

Verna Allee, whose groundbreaking book 'The Knowledge Evolution' helped usher in the exploding field of knowledge management, has brought her experience-tested insights into an exciting new synthesis, penetrating to the very heart of value creation. 'The Future of Knowledge' strips away traditional business thinking to reveal the new patterns of management thought and practice essential for success in a more complex world. With a gift for making the complex simple and practical, Allee weaves together diverse threads such as business webs, communities of practice, knowledge technologies, intangibles, network analysis, and biology to show why organizations must be supported as living systems before their natural networked pattern of organization can emerge. Embodying Allee's visionary approach, 'The Future of Knowledge' brings forward a practical view of new theories, frameworks, tools, and methods offering businesses a guide to managing the increasing levels of complexity within their organizations and in society at large. 'The Future of Knowledge' works on many levels: * At the strategic level, the new tools are intangible scorecards and understanding value networks * At the tactical level, the knowledge management tools for exchanging and applying knowledge are knowledge networks and communities of practice * At the operational level, a wealth of new technologies is supporting the codification, storage and delivery of the knowledge people need to complete their routine tasks.

- Bietet einen Planungsansatz fur die optimale Nutzung der Informationstechnologie zur erfolgreichen Umsetzung der Unternehmensstrategie - Zeigt, wie man UEberraschungen bei unvorhergesehenen oder schlecht gemanagten Aktivitaten vermeiden kann - Erklart, warum Topmanager ihren Ansatz im Finanzmanagement andern sollten, um ihr Unternehmen schneller und praziser modellieren zu koennen - Fallstudien veranschaulichen "Best Practices", die zur erfolgreichen Optimierung von Finanzprozessen fuhrten

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.

Meta-heuristics have developed dramatically since their inception in the early 1980s. They have had widespread success in attacking a variety of practical and difficult combinatorial optimization problems. These families of approaches include, but are not limited to greedy random adaptive search procedures, genetic algorithms, problem-space search, neural networks, simulated annealing, tabu search, threshold algorithms, and their hybrids. They incorporate concepts based on biological evolution, intelligent problem solving, mathematical and physical sciences, nervous systems, and statistical mechanics. Since the 1980s, a great deal of effort has been invested in the field of combinatorial optimization theory in which heuristic algorithms have become an important area of research and applications. This volume is drawn from the first conference on Meta-Heuristics and contains 41 papers on the state-of-the-art in heuristic theory and applications. The book treats the following meta-heuristics and applications: Genetic Algorithms, Simulated Annealing, Tabu Search, Networks & Graphs, Scheduling and Control, TSP, and Vehicle Routing Problems. It represents research from the fields of Operations Research, Management Science, Artificial Intelligence and Computer Science.

Root Cause Failure Analysis (RCFA) is a method used by maintenance and reliability industry professionals as one of the key tools to drive improvement. This book offers a quick guide to the applications involved in performing a successful RCFA by providing a foundational view of maintenance and reliability strategies. It also highlights the practical applications of RCFA and identifies how to achieve a successful RCFA, as well as discussing common equipment failures and how to solve them. Case studies on topics including pump system failure analysis and vibration analysis are included. Suggests examples on how to solve common failure on many types of equipment, including fatigue, pumps, bearings, and mechanical power transmission Highlights practical applications of RCFA Identifies key elements for how to achieve a successful RCFA Presents case studies on topics including pump system failure analysis and vibration analysis The book is a must-read for any reliability engineer, particularly mechanical reliability professionals.