Management decision making Books

Book SynopsisCase studies examining how firms co-ordinate economic activity in the face of asymmetric information are the focus of this volume. It studies the development of the flow of information and co-ordination of economic activity within and between firms.Table of ContentsIntroduction: History and Theory in Search of One Another Naomi R. Lamoreaux, Daniel M. G. Raff. 1: The Puzzling Profusion of Compensation Systems in the Interwar Automobile Industry Daniel M. G. Raff Comment Walter Licht 2: Industrial Engineering and the Industrial Enterprise, 1890-1940 Daniel Nelson Comment Michael J. Piore 3: The Coordination of Business Organization and Technological Innovation within the Firm: A Case Study of the Thomson-Houston Electric Company in the 1880s W. Bernard Carlson Comment John Sutton 4: Organization and Coordination in Geographically Concentrated Industries Michael J. Enright Comment Kenneth L. Sokoloff 5: The Boundaries of the U.S. Firm in R&D David C. Mowery Comment Joel Mokyr 6: Legal Restraints on Economic Coordination: Antitrust in Great Britain and America, 1880-1920 Tony Freyer Comment Victor P. Goldberg 7: The Evolution of Interregional Mortgage Lending Channels, 1870-1940: The Life Insurance-Mortgage Company Connection Kenneth A. Snowden Comment Timothy W. Guinnane 8: The Costs of Rejecting Universal Banking: American Finance in the German Mirror, 1870-1914 Charles W. Calomiris Comment Peter Temin Contributors Name Index Subject Index

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Book SynopsisCase studies examining how firms co-ordinate economic activity in the face of asymmetric information are the focus of this volume. It studies the development of the flow of information and co-ordination of economic activity within and between firms.

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Book SynopsisThe author asserts in this text that what most influences the way managers handle routine conflicts are the cultures created by their company's organizational structure: whether there is a strong hierarchy, a weak hierarchy, or an absence of any strong central authority.Table of Contents1: Introduction. 2: Setting the Scene. 3: Patterns of Conflict Management in Thirteen Executive Contexts. 4: Modern Times: Authoritative Conflict Management in a Mechanistic Bureaucracy. 5: Silent Hives: Minimalistic Conflict Management in an Atomistic Organization. 6: Brave New World: Reciprocal Conflict Management in a Matrix System. 7: Conclusion: Orthodoxy, Change, and Identity. Appendix A: Anatomy of an Ethnography of Business Elites. Appendix B: Aggregate Comparati ve Data. Appendix C: Glossary of Native Terms at Playco.

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Book SynopsisTrade ReviewA wonderfully comprehensive view of competition and competitive strategy and illustrating it well with contemporary examples and citing of the scholarly literature and linking that to action oriented techniques. -- John Czepiel, New York University Stern School of Business With an incisive writing style rarely seen in studies of business strategy, Sherman neatly reevaluates some corporate reputations that have failed the test of time and elevates more lasting examples from his own research. The result is that all-too-rare combination for books on management: advice that is as valuable as it is readable. -- Alex Taylor, former senior editor at large, Fortune Sherman takes a machete to standard thinking in strategy, offering up a common sense but deeply insightful-and sometimes surprising-recipe for what it takes to win in business. -- Sydney Finkelstein, professor, Dartmouth College and author, Superbosses: How Exceptional Leaders Master the Flow of Talent In this important book, Leonard Sherman takes on dangerous shibboleths of business strategy. Foremost among them is the purported priority of maximising shareholder value. Too often, this goal has led to manipulating short-term earnings and stock prices, in the interests of maximising gains to management from stock-related pay. Maximising rewards to shareholders is the outcome of a good business strategy; it is not itself a business strategy at all. -- Martin Wolf, chief economics commentator, Financial Times A thorough study of strategy and how it needs to be done today. The author's ability to put new strategy concepts in the context of fifty plus years of management science is a real gift. Detailed, rigorous, but never boring, this book gives every executive everything they need to know to run a business in today's fast changing world. A rare book that combines the right elements of marketing strategy with business strategy to come up with real winning business solutions. -- Paul F. Nunes, Global Managing Director of Thought Leadership, Accenture Research If You're in A Dogfight, Become A Cat! not only offers a devastating critique of the biggest and worst idea in business-maximizing shareholder value-it also offers a coherent and practical guide to the strategy of innovation that should replace it. -- Stephen Denning, author of The Leader's Guide to Radical Management Insightful, thought-provoking, and practical. Len Sherman takes us on an enjoyable journey through five decades of some of the most influential written works on business management and strategy and shows how history has judged these various concepts. He translates these observations into a framework that prompts you to drive clarity in how you can fulfill your company's core mission behind the execution of three strategic imperatives, and ultimately find sustained long-term profitable growth. The book is filled with case studies that will inspire you to think critically about how these concepts apply to your own business. Sherman offers insights that would be of value to all levels of business leaders who have an interest in sharpening their strategies. -- William Deutsch, founder and chairman, Deutsch Family Wines & Spirits Leonard Sherman's book If You're in a Dogfight, Become a Cat!, based on his decades of business management experience, provides a much-needed approach to sustaining an innovative enterprise. It should be read by everyone concerned about business from MBA candidates to their professors to incumbent executives. This book makes the company rather than the industry the focus of analysis, confronts the erroneous and damaging ideology that companies should be run to 'maximize shareholder value,' and offers executives a new set of principles for strategizing about how an enterprise can be innovative. The many real-life examples that Sherman provides should stimulate plenty of informed discussion about what an innovative enterprise is really about. -- William Lazonick, professor, University of Massachusetts Lowell and president, Academic-Industry Research Network This book provides countless concrete examples of how businesses can create real value and continuously renew competitive advantage. It's a must-read, as relevant to senior executives as to MBA students aspiring to become next generation business leaders. -- Marty St. George, executive vice president for Commercial and Planning, JetBlue This book integrates key ideas from the most influential strategy thinking of the last forty years with Len Sherman's extensive practical business experience to present a convincing and practical case for the three strategic imperatives that drive sustained profitable growth. Be a cat and pounce on this book! -- Niraj Dawar, Ivey Business SchoolTable of ContentsPreface 1. The Origins of Modern Business Strategy Thinking 2. There's No Such Thing as a Bad Industry 3. Why Are We in Business? 4. The Search for the Holy Grail of Business: Long-Term Profitable Growth 5. Do You Know What Your Strategy Is? 6. Getting Strategy Right 7. Creating Strong Brands 8. Brand Builders and Killers 9. What Makes Products Meaningfully Different? 10. Where Do Great Ideas Come From? 11. Strategies to Break Away from the Pack 12. Hitting the Bull's-Eye Notes Index

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Book SynopsisLeonard Sherman draws on decades of experience in management consulting, venture capital, and teaching business strategy at Columbia Business School to share practical advice on two of the most vexing issues facing business executives: why is it so hard to achieve long-term profitable growth, and what can companies do to break away from the pack?Trade ReviewNamed one of the 13 best business books of 2017 * CNBC.com *Named one of the top 10 business books of 2017. * Inc. *Named one of the best business books of 2017, best strategy book. * Toronto Globe and Mail *A Top Shelf Pick, Best Business Books 2017: Strategy"The most compelling business book on strategy this year....An expertly trimmed tree of knowledge that brilliantly summarizes and integrates what's been learned about strategy over the last 60 years." * Strategy + Business *A wonderfully comprehensive view of competition and competitive strategy and illustrating it well with contemporary examples and citing of the scholarly literature and linking that to action oriented techniques. -- John Czepiel, New York University Stern School of BusinessWith an incisive writing style rarely seen in studies of business strategy, Sherman neatly reevaluates some corporate reputations that have failed the test of time and elevates more lasting examples from his own research. The result is that all-too-rare combination for books on management: advice that is as valuable as it is readable. -- Alex Taylor, former senior editor at large, FortuneSherman takes a machete to standard thinking in strategy, offering up a common sense but deeply insightful—and sometimes surprising—recipe for what it takes to win in business. -- Sydney Finkelstein, professor, Dartmouth College and author, Superbosses: How Exceptional Leaders Master the Flow of TalentIn this important book, Leonard Sherman takes on dangerous shibboleths of business strategy. Foremost among them is the purported priority of maximising shareholder value. Too often, this goal has led to manipulating short-term earnings and stock prices, in the interests of maximising gains to management from stock-related pay. Maximising rewards to shareholders is the outcome of a good business strategy; it is not itself a business strategy at all. -- Martin Wolf, chief economics commentator, Financial TimesA thorough study of strategy and how it needs to be done today. The author's ability to put new strategy concepts in the context of fifty plus years of management science is a real gift. Detailed, rigorous, but never boring, this book gives every executive everything they need to know to run a business in today's fast changing world. A rare book that combines the right elements of marketing strategy with business strategy to come up with real winning business solutions. -- Paul F. Nunes, Global Managing Director of Thought Leadership, Accenture ResearchIf You're in A Dogfight, Become A Cat! not only offers a devastating critique of the biggest and worst idea in business—maximizing shareholder value—it also offers a coherent and practical guide to the strategy of innovation that should replace it. -- Stephen Denning, author of The Leader's Guide to Radical ManagementInsightful, thought-provoking, and practical. Len Sherman takes us on an enjoyable journey through five decades of some of the most influential written works on business management and strategy and shows how history has judged these various concepts. He translates these observations into a framework that prompts you to drive clarity in how you can fulfill your company's core mission behind the execution of three strategic imperatives, and ultimately find sustained long-term profitable growth. The book is filled with case studies that will inspire you to think critically about how these concepts apply to your own business. Sherman offers insights that would be of value to all levels of business leaders who have an interest in sharpening their strategies. -- William Deutsch, founder and chairman, Deutsch Family Wines & SpiritsLeonard Sherman's book If You're in a Dogfight, Become a Cat!, based on his decades of business management experience, provides a much-needed approach to sustaining an innovative enterprise. It should be read by everyone concerned about business from MBA candidates to their professors to incumbent executives. This book makes the company rather than the industry the focus of analysis, confronts the erroneous and damaging ideology that companies should be run to 'maximize shareholder value,' and offers executives a new set of principles for strategizing about how an enterprise can be innovative. The many real-life examples that Sherman provides should stimulate plenty of informed discussion about what an innovative enterprise is really about. -- William Lazonick, professor, University of Massachusetts Lowell and president, Academic-Industry Research NetworkThis book provides countless concrete examples of how businesses can create real value and continuously renew competitive advantage. It's a must-read, as relevant to senior executives as to MBA students aspiring to become next generation business leaders. -- Marty St. George, executive vice president for Commercial and Planning, JetBlueThis book integrates key ideas from the most influential strategy thinking of the last forty years with Len Sherman's extensive practical business experience to present a convincing and practical case for the three strategic imperatives that drive sustained profitable growth. Be a cat and pounce on this book! -- Niraj Dawar, Ivey Business SchoolChallenges readers to avoid the "copycat syndrome" because its a losing battle. * Small Business Trends *Sherman and others suggest six specific strategies for breaking away and staying ahead of the pack, and I believe every business owner should implement at least one of these on a quarterly basis. * Inc *In the most compelling book on strategy this year, If You're in a Dogfight Become a Cat, Leonard Sherman assembles a convincing brief that slowdowns companies face as they become successful and attract imitrators. -- Ken Favarov * Strategy + Business *Table of ContentsPreface1. The Origins of Modern Business Strategy Thinking2. There's No Such Thing as a Bad Industry3. Why Are We in Business?4. The Search for the Holy Grail of Business: Long-Term Profitable Growth5. Do You Know What Your Strategy Is?6. Getting Strategy Right7. Creating Strong Brands8. Brand Builders and Killers9. What Makes Products Meaningfully Different?10. Where Do Great Ideas Come From?11. Strategies to Break Away from the Pack12. Hitting the Bull's-EyeNotesIndex

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Book SynopsisRisk, Choice, and Uncertainty offers a new narrative of the three-century history of the study of decision making, tracing how crucial ideas have evolved and telling the stories of the thinkers who shaped the field. George G. Szpiro examines economics from theories of optimal decision making to behavioral science.Trade ReviewIn Risk, Choice, and Uncertainty, George Szpiro presents a remarkably readable, nonmathematical account of the theory of choice between risky alternatives. -- Harry Markowitz, winner of the 1990 Nobel Prize in Economic SciencesRisk, Choice, and Uncertainty is a masterpiece of intellectual biography. In his best book to date, Szpiro’s wit and stylish writing make the history of thinking about thinking both intriguing and accessible. -- Sylvia Nasar, author of Grand Pursuit: The Story of Economic GeniusEconomic theory treats humans as "utility maximizers". But what is "utility"? 300 years ago, Daniel Bernoulli declared it as relative gain in wealth. Later it became an abstract scale for consistent preferences, but this postulated "rationality" has its own paradoxes and controversies as concerns actual behavior. George Szpiro's sweeping historical tour de force of this topic entertains, informs and delights. -- Bernhard von Stengel, Professor of Mathematics, game theorist, London School of Economics and Political ScienceRisk, Choice, and Uncertainty is a well-organized and pleasantly written account of the history of economics seen through the lens of individual decision making, ranging from expected utility to prospect theory. It will be of interest to a lay audience and curious students alike. -- Maria Pia Paganelli, Trinity UniversityPresents a new approach to the history of economic thought, providing a study of how people make decisions. * Journal of Economic Literature *Highly recommended. * Choice *Table of ContentsIntroductionPart I. Happiness and the Utility of Wealth1. It All Began with A Paradox2. More Is Better . . .3. . . . at a Decreasing RatePart II. Mathematics Is the Queen of the Sciences . . . 4. The Marginalist Triumvirate5. Forgotten Precursors6. Betting on One’s Belief7. Games Economists Play8. Wobbly Curves9. Comparing the IncomparablePart III. . . . But Man Is the Measure of All Things10. More Paradoxes11. Good Enough12. Sunk Costs, the Gambler’s Fallacy, and Other Errors13. Erroneous, Irrational, or Plain Dumb?NotesBibliographyIndex

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Book SynopsisRisk Management and Shareholders' Value in Banking covers all main aspects of risk management, capital management and value creation for financial institutions; it is structured in six parts. Part One covers the measurement and management of the interest rate risk on all assets and liabilities of a banking institution.Table of ContentsForeword. Motivation and Scope of this Book: A Quick Guided Tour. PART I INTEREST RATE RISK. Introduction to Part I. 1 The Repricing Gap Model. 1.1 Introduction. 1.2 The gap concept. 1.3 The maturity-adjusted gap. 1.4 Marginal and cumulative gaps. 1.5 The limitations of the repricing gap model. 1.6 Some possible solutions. 1.6.1 Non-uniform rate changes: the standardized gap. 1.6.2 Changes in rates of on-demand instruments. 1.6.3 Price and quantity interaction. 1.6.4 Effects on the value of assets and liabilities. Selected Questions and Exercises. Appendix 1A The Term Structure of Interest Rates. Appendix 1B Forward Rates. 2 The Duration Gap Model. 2.1 Introduction. 2.2 Towards mark-to-market accounting. 2.3 The duration of financial instruments. 2.3.1 Duration as a weighted average of maturities. 2.3.2 Duration as an indicator of sensitivity to interest rates charges. 2.3.3 The properties of duration. 2.4 Estimating the duration gap. 2.5 Problems of the duration gap model. Selected Questions and Exercises. Appendix 2A The Limits of Duration. 3 Models Based on Cash-Flow Mapping. 3.1 Introduction. 3.2 The objectives of cash-flow mapping and term structure. 3.3 Choosing the vertices of the term structure. 3.4 Techniques based on discrete intervals. 3.4.1 The duration intervals method. 3.4.2 The modified residual life method. 3.4.3 The Basel Committee method. 3.5 Clumping. 3.5.1 Structure of the methodology. 3.5.2 An example. 3.5.3 Clumping on the basis of price volatility. 3.6 Concluding comments. Selected Questions and Exercises. Appendix 3A Estimating the Zero-coupon Curve. 4 Internal Transfer Rates. 4.1 Introduction. 4.2 Building an ITR system: a simplified example. 4.3 Single and multiple ITRs. 4.4 Setting internal interest transfer rates. 4.4.1 ITRs for fixed-rate transactions. 4.4.2 ITRs for floating-rate transactions. 4.4.3 ITRs for transactions indexed at “non-market” rates. 4.5 ITRs for transactions with embedded options. 4.5.1 Option to convert from a fixed to a floating rate. 4.5.2 Floating rate loan subject to a cap. 4.5.3 Floating rate loan subject to a floor. 4.5.4 Floating rate loan subject to both a floor and a cap. 4.5.5 Option for early repayment. 4.6 Summary: the ideal features of an ITR system. Selected Questions and Exercises. Appendix 4A Derivative Contracts on Interest Rates. PART II MARKET RISKS. Introduction to Part II. 5 The Variance-Covariance Approach. 5.1 Introduction. 5.2 VaR derivation assuming normal return distribution. 5.2.1 A simplified example. 5.2.2 Confidence level selection. 5.2.3 Selection of the time horizon. 5.3 Sensitivity of portfolio positions to market factors. 5.3.1 A more general example. 5.3.2 Portfolio VaR. 5.3.3 Delta-normal and asset-normal approaches. 5.4 Mapping of risk positions. 5.4.1 Mapping of foreign currency bonds. 5.4.2 Mapping of forward currency positions. 5.4.3 Mapping of forward rate agreements. 5.4.4 Mapping of stock positions. 5.4.5 Mapping of bonds. 5.5 Summary of the variance-covariance approach and main limitations. 5.5.1 The normal distribution hypothesis. 5.5.2 Serial independence and stability of the variance-covariance matrix. 5.5.3 The linear payoff hypothesis and the delta/gamma approach. Selected Questions and Exercises. Appendix 5A Stockmarket Betas. 6 Volatility Estimation Models. 6.1 Introduction. 6.2 Volatility estimation based upon historical data: simple moving averages. 6.3 Volatility estimation based upon historical data: exponential moving averages. 6.4 Volatility prediction: GARCH models. 6.5 Volatility prediction: implied volatility. 6.6 Covariance and correlation estimation. Selected Questions and Exercises. 7 Simulation Models. 7.1 Introduction. 7.2 Historical simulations. 7.2.1 A first example: the VaR of a single position. 7.2.2 Estimation of a portfolio’s VaR. 7.2.3 A comparison between historical simulations and the. variance-covariance approach. 7.2.4 Merits and limitations of the historical simulation method. 7.2.5 The hybrid approach. 7.2.6 Bootstrapping and path generation. 7.2.7 Filtered historical simulations. 7.3 Monte Carlo simulations. 7.3.1 Estimating the VaR of a single position. 7.3.2 Estimating portfolio VaR. 7.3.3 Merits and limitations of Monte Carlo simulations. 7.4 Stress testing. Selected Questions and Exercises. 8 Evaluating VaR Models. 8.1 Introduction. 8.2 An example of backtesting: a stock portfolio VaR. 8.3 Alternative VaR model backtesting techniques. 8.3.1 The unconditional coverage test. 8.3.2 The conditional coverage test. 8.3.3 Lopez test based upon a loss function. 8.3.4 Tests based upon the entire distributio. Selected Questions and Exercises. Appendix 8A VaR Model Backtesting According to the Basel Committee. 9 VaR Models: Summary, Applications and Limitations. 9.1 Introduction. 9.2 A summary overview of the different models. 9.3 Applications of VaR models. 9.3.1 Comparison among different risks. 9.3.2 Determination of risk taking limits. 9.3.3 The construction of risk-adjusted performance (RAP) measures. 9.4 Six “false shortcomings” of VaR. 9.4.1 VaR models disregard exceptional events. 9.4.2 VaR models disregard customer relations. 9.4.3 VaR models are based upon unrealistic assumptions. 9.4.4 VaR models generate diverging results. 9.4.5 VaR models amplify market instability. 9.4.6 VaR measures “come too late, when damage has already been done”. 9.5 Two real problems of VaR models. 9.5.1 The size of losses. 9.5.2 Non-subadditivity. 9.6 An alternative risk measure: expected shortfall (ES). Selected Questions and Exercises. Appendix 9A Extreme Value Theory. PART III CREDIT RISK. Introduction to Part III. 10 Credit-Scoring Models. 10.1 Introduction. 10.2 Linear discriminant analysis. 10.2.1 The discriminant function. 10.2.2 Wilks’ Lambada. 10.2.3 Altman’s Z-score. 10.2.4 From the score to the probability of default. 10.2.5 The cost of errors. 10.2.6 The selection of discriminant variables. 10.2.7 Some hypotheses underlying discriminant analysis. 10.3 Regression models. 10.3.1 The linear probabilistic model. 10.3.2 The logit and probit models. 10.4 Inductive models. 10.4.1 Neural networks. 10.4.2 Genetic algorithms. 10.5 Uses, limitations and problems of credit-scoring models. Selected Questions and Exercises. Appendix 10A The Estimation of the Gamma Coefficients in Linear. Discriminant Analysis. 11 Capital Market Models. 11.1 Introduction. 11.2 The approach based on corporate bond spreads. 11.2.1 Foreword: continuously compounded interest rates. 11.2.2 Estimating the one-year probability of default. 11.2.3 Probabilities of default beyond one year. 11.2.4 An alternative approach. 11.2.5 Benefits and limitations of the approach based on corporate. bond spreads. 11.3 Structural models based on stock prices. 11.3.1 An introduction to structural models. 11.3.2 Merton’s model: general structure. 11.3.3 Merton’s model: the role of contingent claims analysis. 11.3.4 Merton’s model: loan value and equilibrium spread. 11.3.5 Merton’s model: probability of default. 11.3.6 The term structure of credit spreads and default probabilities. 11.3.7 Strengths and limitations of Merton’s model. 11.3.8 The KMV model for calculating Vo and ov. 11.3.9 The KMV approach and the calculation of PD. 11.3.10 Benfits and limitations of the KMV model. Selected Questions and Exercises. Appendix 11A Calculating the Fair Spread on a Loan. Appendix 11B Real and Risk-Neutral Probabilities of Default. 12 LGD and Recovery Risk. 12.1 Introduction. 12.2 What factors drive recovery rates? 12.3 The estimation of recovery rates. 12.3.1 Market LGD and default LGD. 12.3.2 Computing workout LGDs. 12.4 From past data to LGD estimates. 12.5 Results from selected empirical studies. 12.6 Recovery risk. 12.7 The link between default risk and recovery risk. Selected Questions and Exercises. Appendix 12A The Relationship Between PD and RR in the Merton Model. 13 Rating Systems. 13.1 Introduction. 13.2 Rating assignment. 13.2.1 Internal ratings and agency ratings: how do they differ? 13.2.2 The assignment of agency ratings. 13.2.3 Rating assessment in bank internal rating systems. 13.3 Rating quantification. 13.3.1 The possible approaches. 13.3.2 The actuarial approach: marginal, cumulative and annualized default rates. 13.3.3 The actuarial approach: migration rates. 13.4 Rating validation. 13.4.1 Some qualitative data. 13.4.2 Quantitative criteria for validating rating assignments. 13.4.3 The validation of the rating quantification step. Selected Questions and Exercises. 14 Portfolio Models. 14.1 Introduction. 14.2 Selecting time horizon and confidence level. 14.2.1 The choice of risk horizon. 14.2.2 The choice of the confidence level. 14.3 The migration approach: CreditMetrics TM. 14.3.1 Estimating risk on a single credit. 14.3.2 Estimating the risk of a two-exposure portfolio. 14.3.3 Estimating asset correlation. 14.3.4 Application to a portfolio of N positions. 14.3.5 Merits and limitations of the CreditMetrics TM model. 14.4 The structural approach: PortfolioManager TM. 14.5 The macroeconomic approach: CreditPortfolioView TM. 14.5.1 Estimating conditional default probabilities. 14.5.2 Estimating the conditional transition matrix. 14.5.3 Merits and limitations of CreditPortfolioView TM. 14.6 The actuarial approach: the CreditRisk+ TM model. 14.6.1 Estimating the probability distribution of defaults. 14.6.2 The probability distribution of losses. 14.6.3 The distribution of losses of the entire portfolio. 14.6.4 Uncertainty about the average default rate and correlations. 14.6.5 Merits and limitations of CreditRisk+ TM. 14.7 A brief comparison of the main models. 14.8 Some limitations of the credit risk models. 14.8.1 The treatment of recovery risk. 14.8.2 The assumption of independence between exposure risk and. default risk. 14.8.3 The assumption of independence between credit risk and market risk. 14.8.4 The impossibility of backtesting. Selected Questions and Exercises. Appendix 14A Asset Correlation Versus Default Correlation. 15 Some Applications of Credit Risk Measurement Models. 15.1 Introduction. 15.2 Loan pricing. 15.2.1 The cost of the expected loss. 15.2.2 The cost of economic capital absorbed by unexpected losses. 15.3 Risk-adjusted performance measurement. 15.4 Setting limits on risk-taking units. 15.5 Optimizing the composition of the loan portfolio. Selected Questions and Exercises. Appendix 15A Credit Risk Transfer Tools. 16 Counterparty Risk on OTC Derivatives. 16.1 Introduction. 16.2 Settlement and pre-settlement risk. 16.3 Estimating pre-settlement risk. 16.3.1 Two approaches suggested by the Basel Committee (1988). 16.3.2 A more sophisticated approach. 16.3.3 Estimating the loan equivalent exposure of an interest rate swap. 16.3.4 Amortization and diffusion effect. 16.3.5 Peak exposure (OE) and average expected exposure (AEE). 16.3.6 Further approaches to LEE computation. 16.3.7 Loan equivalent and Value at Risk: analogies and differences. 16.4 Risk-adjusted performance measurement. 16.5 Risk-mitigation tools for pre-settlement risk. 16.5.1 Bilateral netting agreements. 16.5.2 Safety margins. 16.5.3 Recouponing and guarantees. 16.5.4 Credit triggers and early redemption options. PART IV OPERATIONAL RISK. Introduction to Part IV. 17 Operational Risk: Definition, Measurement and Management. 17.1 Introduction. 17.2 OR: how can we define it? 17.2.1 OR risk factors. 17.2.2 Some peculiarities of OR. 17.3 Measuring OR. 17.3.1 Identifying the risk factors. 17.3.2 Mapping business units and estimating risk exposure. 17.3.3 Estimating the probability of the risky events. 17.3.4 Estimating the losses. 17.3.5 Estimating expected loss. 17.3.6 Estimating unexpected loss. 17.3.7 Estimating capital at risk against OR. 17.4 Towards an OR management system. 17.5 Final remarks. Selected Questions and Exercises. Appendix 17A OR Measurement and EVT. PART V REGULATORY CAPITAL REQUIREMENTS. Introduction to Part V. 18 The 1988 Capital Accord. 18.1 Introduction. 18.2 The capital ratio. 18.2.1 Regulatory capital (RC). 18.2.1.1 Tier 1 capital. 18.2.1.2 Supplementary capital (Tier 2 and Tier 3). 18.2.2 Risk weights (wi). 18.2.3 Assets included in the capital ration (Ai). 18.3 Shortcomings of the capital adequacy framework. 18.3.1 Focus on credit risk only. 18.3.2 Poor differentiation of risk. 18.3.3 Limited recognition of the link between maturity and credit risk. 18.3.4 Disregard for portfolio diversification. 18.3.5 Limited recognition of risk mitigation tools. 18.3.6 “Regulatory arbitrage”. 18.4 Conclusions. Selected Questions and Exercises. Appendix 18A The Basel Committee. 19 The Capital Requirements for Market Risks. 19.1 Introduction. 19.2 Origins and characteristics of capital requirements. 19.2.1 Origins of the requirements. 19.2.2 Logic and scope of application. 19.2.3 The “building blocks” approach. 19.2.4 Tier 3 capital. 19.3 The capital requirements on debt securities. 19.3.1 The requirement for specific risk. 19.3.2 The requirement for generic risk. 19.4 Positions in equity securities: specific and generic requirements. 19.5 The requirement for positions in foreign currencies. 19.6 The requirement for commodity positions. 19.7 The use of internal models. 19.7.1 Criticism of the Basel Committee proposals. 19.7.2 The 1995 revised draft. 19.7.3 The final amendment of January 1996. 19.7.4 Advantages and limitations of the internal model approach. 19.7.5 The pre-commitment approach. Selected Questions and Answers. Appendix 19A Capital requirements Related to Settlement, Counterparty and Concentration Risks. 20 The New Basel Accord. 20.1 Introduction. 20.2 Goals and contents of the reform. 20.3 Pillar One: the standard approach to credit risk. 20.3.1 Risk weighting. 20.3.2 Collateral and guarantees. 20.4 The internal ratings-based approach. 20.4.1 Risk factors. 20.4.2 Minimum requirements of the internal ratings system. 20.4.3 From the rating system to the minimum capital requirements. 20.5 Pillar two: a new role for supervisory authorities. 20.6 Pillar three: market discipline. 20.6.1 The rationale underlying market discipline. 20.6.2 The reporting obligations required by the Basel Committee. 20.6.3 Other necessary conditions for market discipline. 20.7 Pros and cons of Basel II. 20.8 The Impact of Basel II. 20.8.1 The impact on first implementation. 20.8.2 The dynamic impact: procyclicality. Selected Questions and Exercises. 21 Capital Requirements on Operational Risk. 21.1 Introduction. 21.2 The capital requirement on operational risk. 21.2.1 The basic indicator approach. 21.2.2 The standardized approach. 21.2.3 The requirements for adopting the standardized approach. 21.2.4 Advanced measurement approaches. 21.2.5 The requirements for adopting advanced approaches. 21.2.6 The role of the second and third pillars. 21.2.7 The role of insurance coverage. 21.3 Weaknesses of the 2004 Accord. 21.4 Final remarks. Selected Questions and Exercises. PART VI CAPITAL MANAGEMENT AND VALUE CREATION. Introduction to Part VI. 22 Capital Management. 22.1 Introduction. 22.2 Defining and measuring capital. 22.2.1 The definition of capital. 22.2.2 The relationship between economic capital and available capital. 22.2.3 Calculating a bank’s economic capital. 22.2.4 The relationship between economic capital and regulatory capital. 22.2.5 The limitation of regulatory capital: implications on pricing and. performance measurement. 22.2.6 The determinants of capitalization. 22.3 Optimizing regulatory capital. 22.3.1 Technical features of the different regulatory capital requirements. 22.3.2 The actual use of the various instruments included within regulatory capital. 22.4 Other instruments not included within regulatory capital. 22.4.1 Insurance capital. 22.4.2 Contingent capital. Selected Questions and Exercises. 23 Capital Allocation. 23.1 Introduction. 23.2 Measuring capital for the individual business units. 23.2.1 The “benchmark capital” approach. 23.2.2 The model-based approach. 23.2.3 The Earnings-at-Risk (EaR) approach. 23.3 The relationship between allocated capital and total capital. 23.3.1 The concept of diversified capital. 23.3.2 Calculating diversified capital. 23.3.3 Calculating the correlations used in determining diversified capital. 23.4 Capital allocated and capital absorbed. 23.5 Calculating risk-adjusted performance. 23.6 Optimizing the allocation of capital. 23.6.1 A model for optimal capital allocation. 23.6.2 A more realistic model. 23.7 The organizational aspects of the capital allocation process. Selected Questions and Exercises. Appendix 23A The Correlation Approach. Appendix 23B The Virtual nature of Capital Allocation. 24 Cost of Capital and Value Creation. 24.1 Introduction. 24.2 The link between risk management and capital budgeting. 24.3 Capital budgeting in banks and non-financial enterprises. 24.4 Estimating the cost of capital. 24.4.1 Estimating the cost of capital. 24.4.2 The method based on the price/earnings ratio. 24.4.3 The method based on the Capital Asset Pricing Model (CAPM). 24.4.4 Caveats. 24.5 Some empirical examples. 24.6 Value creation and RAROC. 24.7 Value creation and EVA. 24.8 Conclusions. Selected Questions and Exercises. Bibliography. Index.

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Book SynopsisDECISIONS focuses on how organizations can improve decision-making processes to improve organizational performance in a global economy. Presents research related to problems associated with meeting requirements, schedules, and costs Defines the scope of macro and micro decisions Raises the issue of the role of engineering, manufacturing, and marketing in making organizational decisions Includes references to Peter Drucker's studies on decision-making Table of ContentsPreface xiii 1 CONFRONTING THE REALITIES IN DECISION-MAKING 1 History of Failed Projects 2 Organizational Discipline 5 Sources of Decision-Making Knowledge 7 Making Organizational Decisions 9 Key Points 11 Notes 12 2 MANAGING THE ORGANIZATION 13 Management Model 14 New Management Paradigm 15 Executives 17 Managers 19 Engineers and Other Discipline Specialists 24 Project Managers 25 Common Requirements for Executives, Managers, Engineers and Other Discipline Professionals, and Project Managers 28 Key Points 40 Notes 41 3 DECISIONS HAVE CONSEQUENCES 43 The Knowledge Chain 44 External Decision Drivers 46 Expanding Worldwide Operations 48 Dealing with Acquisitions and Mergers 49 Restructuring Organizations 52 Investing in New-to-the-Market Product/Services 55 Investing in New Technologies 57 Entering New Markets 59 Discontinuing a Product Line 60 Promoting Innovation and Entrepreneurship 61 Locating Business Operations 65 Key Points 66 Notes 67 4 DECISIONS AND PROJECT SCOPE 69 Organizational Decisions 70 Low Impact to High Impact 71 Simple to Complex 72 Low Cost to High Cost 74 Low Risk to High Risk 74 Upgrade to Innovative 76 Current Business to New Business Unit 77 Current Business Unit to a New Game 78 Decisions in Functional Units 79 Limited Scope to Expanded Scope 80 Strategic to Operational 81 Knockouts 82 Thinking Before Doing 83 Key Points 87 Note 88 5 MACRO DECISION TO IMPLEMENTATION 89 Executing the Decision 90 Using Tools and Techniques 91 Describing the Problem 94 Improving IT Project Performance 96 Advancing Project Management Practice 99 Managing Project Cycle Time 103 Managing with a Systems Perspective 109 Key Points 111 Notes 112 6 MAKING PEOPLE DECISIONS 113 Energizing the Human Resource Department 114 Hiring Practices 116 Evaluating Employee Performance 120 Assessing Employee Potential 122 Promotions and Appointments 124 Selecting Team Members 126 Selecting the Right People 130 Assigning Work 131 Transitioning From Specialist to Manager 132 Salary Schedules 134 Continuing Education 134 Building a Succession Competence 136 Key Points 137 Notes 138 7 DEVELOPING DECISION-MAKING COMPETENCIES 139 Decision Dilemmas 140 Learning to Make Decisions 144 Educating for Decision-Making 147 Dealing with Ambiguity 153 Executing the Deliverables 156 Key Points 162 Notes 163 8 IBM ROCHESTER, MINNESOTA: THE SILVERLAKE PROJECT 165 Birth of IBMR Minnesota 166 Project Fort Knox 167 IBMR Faces Market Challenges 168 New Directions for IBM Rochester 168 Furey Asks the Hard Questions 169 Ambitious Goals 173 Market Launch 176 Lessons Learned 177 Key Points 184 Notes 185 9 BOEING AND THE 787 DREAMLINER 187 Dreamliner Scope and Expectations 188 Boeing—The Enterprise 189 The 787 Dreamliner Challenges 192 Commentary 198 Key Points 213 Notes 216 10 COMMUNICATION IN DECISION-MAKING 219 New-to-the-Market Product 221 What is Communication? 226 Types of Communication 228 Organizational Context 231 Barriers to Effective Communication 234 Ethical Issues in Communication 253 Eliminating the Communication Barriers 255 Key Points 258 Notes 259 11 EVALUATING DECISION-MAKING PERFORMANCE 261 People 262 Purposes 264 Processes 265 Strategic Thinking 266 Culture 267 Products and Services 268 Resources 270 Leadership 275 Innovation and Entrepreneurship 276 Organizational Readiness 278 Policies and Procedures 279 Employee Benefits 279 Downsizing 280 Going Global 281 Government Regulations 282 Offshore Operations 282 Integrating Organizational Units 283 General Governance Issues 284 Key Points 289 Notes 292 Index 293

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Book SynopsisOne of the few books on the subject, Country Risk Assessment combines the theoretical and practical tools for managing international country risk exposure. - Offers a comprehensive discussion of the specific mechanisms that apply to country risk assessment. - Discusses various techniques associated with global investment strategy.Table of ContentsPreface. Acknowledgments. Foreword by Campbell R. Harvey 1 Introduction. 2 An Overview of Country Risk . 3 The Economic and Financial Foundations of Country Risk Assessment . 4 Country Risk Assessment Methodologies: The Qualitative, Structural Approach to Country Risk. 5 Assessment Methodologies: Ratings. 6 Econometric and Mathematical Methods. 7 Risk Models. 8 International Portfolio Investment Analysis. 9 Financial Crises in Emerging Market Countries: An Historical Perspective. 10 Country Risk and Risk Mitigation Instruments. 11 Country Risk Assessment: A Matter of Information and Intelligence Gathering. Glossary. Index

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Book SynopsisIn an era of globalization, syndicated lending and consolidation within the banking industry, virtually all industries will have international dealings, and will therefore be exposed to consequential risks. This work provides an understanding of how to calculate, analyse, and manage such risks.Table of ContentsForeword ix About the Author xi 1 The Banking Background 1 1.1 Different types of banks and their risk profile 1 1.1.1 Bank failure and the financial services community 1 1.1.2 What do banks do? How do they earn their money? 3 1.1.3 Different types of banks and their revenue structures 6 1.1.4 Commercial banks 7 1.1.5 Investment banks 10 1.1.6 Risk profile of investment banks 13 1.1.7 Broking is a competitive business 13 1.1.8 Derivatives trading and AAA subsidiaries 13 1.1.9 The regulation of investment banks 14 1.1.10 “Analyst of the year” awards 14 1.2 Primary causes of bank failure 16 1.2.1 Types of failures 17 1.2.2 Causes of losses 18 1.2.3 Warning signals in predicting bank failure 24 1.2.4 Rescuing the bank! 28 1.2.5 Credit rating agencies 30 1.3 Bank failures – the four aces 31 1.3.1 Bank of Credit and Commerce International 31 1.3.2 Continental Illinois 34 1.3.3 Crédit Lyonnais 36 1.3.4 Rumasa 39 1.4 The macroeconomic environment 41 1.4.1 Banking system and industry risks 41 1.4.2 Economic environment 43 1.4.3 Industry competition and its impact on banks 43 1.4.4 Technology 44 2 The Rating Framework 45 2.1 What is a rating? 45 2.2 The development of ratings 46 2.3 Background to rating agencies 46 2.3.1 Inconsistent initial foundations 48 2.3.2 Secretive deliberations 51 2.3.3 Main source of revenues 51 2.3.4 Generating value 53 2.3.5 Growth and the future 54 2.4 The rating analytical framework 56 2.4.1 CAMEL, CAMEL B-COM, and CAMELOT 58 2.4.2 Capital 59 2.4.3 Asset quality 60 2.4.4 Management 62 2.4.5 Earnings 64 2.4.6 Liquidity (liability management) 64 2.5 How the rating agencies analyse bank risk 65 2.5.1 What is a rating? 65 2.5.2 Rating scale comparisons 66 2.5.3 Standard & Poor’s ratings 66 2.5.4 Moody’s ratings 68 2.5.5 Fitch performance and legal ratings 69 3 The Regulatory Framework 73 3.1 Banking system: structure, governing law, and regulations 73 3.1.1 Banking supervision 75 3.2 Core principles for effective banking supervision 78 3.2.1 Core principles for effective banking supervision 78 3.2.2 Basel committee publications No. 30 (September 1997) on banking principles 80 3.3 Risk management 83 3.3.1 Generally accepted risk principles 83 3.3.2 Derivatives and market risk 84 3.3.3 Managing bank limits 86 3.3.4 Generally accepted risk principles risk map 87 3.4 Basle Capital Adequacy and international convergence 88 3.4.1 Background to the Basle Capital Adequacy regime 88 3.4.2 Pressures for change 89 3.4.3 The BIS paper: the response of the central banks 90 3.4.4 Foreign exchange and interest rate related exposure 93 3.4.5 Implementation 95 3.4.6 Impact of the BIS proposals 95 4 The Analytical Framework 97 4.1 Introduction 97 4.1.1 The specific nature of bank financial analysis 97 4.1.2 Sources of information on banks 98 4.1.3 Other sources of information 100 4.2 Financial criteria – the key factors 101 4.2.1 Financial statement analysis 101 4.2.2 Spreadsheet analysis 105 4.3 Understanding the bank’s balance sheet 107 4.3.1 Overview 107 4.3.2 Balance sheet 110 4.3.3 Assets 111 4.3.4 Liabilities 114 4.3.5 Contingent liabilities 117 4.3.6 Income statement 118 4.3.7 Financial analysis of investment banks 121 4.3.8 Risk profile of investment banks 125 5 Bankscope and Comparative Techniques 127 5.1 Bankscope spreadsheet analysis 127 5.2 Bankscope ratios and ratio analysis 130 5.2.1 Lines of the Bankscope global format 130 5.2.2 Financial ratio analysis 131 5.2.3 The Bankscope ratios 131 5.3 Bank peer group analysis 139 5.3.1 Analytical techniques 139 5.4 Problems with intercountry comparisons 141 5.4.1 Local vs international accounting standards 141 5.4.2 Inflation accounting 142 5.4.3 Creative accounting and ratio manipulation 143 6 Country and Political Risk 145 6.1 Country risk 145 6.1.1 Introduction to country risk 145 6.1.2 Definition of country risk 145 6.1.3 Types of countries 146 6.1.4 Country risk assessment 147 6.2 Political risk 148 6.2.1 Introduction to political risk 148 6.2.2 Time dimension 149 6.2.3 Political risk analysis methodologies 149 6.2.4 World Bank list of countries 150 6.3 Typical sovereign ratings process 151 6.3.1 Introduction 151 6.3.2 Political risk 152 6.3.3 Economic risk 154 6.3.4 S&P’s sovereign ratings profiles 160 6.3.5 Behind the sovereign ratings exercise 160 7 The World of E-finance 163 7.1 A quick definition of e-finance 163 7.2 CRM – Customer Relationship Management 164 7.3 STP/CLS 165 7.3.1 STP – Straight Through Processing 165 7.3.2 CLS – Continuous Linked Settlement 166 7.3.3 Establishment of Continuous Linked Settlement services 166 7.4 SWIFT 167 7.4.1 Background 167 7.5 Electronic funds transfer 169 7.6 Online banking 169 7.7 Day trading 169 7.8 Smart cards 170 7.9 Evolution of e-finance 172 7.10 Origin of e-finance and internet commerce 173 7.10.1 Rise Of e-finance and electronic trading 174 8 Conclusion 177 Glossary 179 Suggested Readings 201 Appendix I 203 Appendix II 209 Appendix III 217 Index 223

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Book SynopsisThis book will explain, from the point of view of the practitioner, the analysis of investment risk - a proper account of adequate risk management strategies - and offer an objective and readable account of the most common investment risk management procedures.Table of Contents1 Introduction to Investment Risk. Dream versus rude awakening. Book structure. 2 The Beginning of Risk. Risk and business. Case study: The shark and its risk. Case study: The ruin of Crédit Lyonnais (CL). Case study: ABB engineering. Investment scams. Banking risk and sharks. Risk management as a discipline. Humans and risk. Case study: High-street retail store losses. Case study: Allied Irish Bank (AIB). The state of the investment game. Risk types. Reputation risk. Case study: Equitable Life. Credit risk. Market risk. Operational risk. Risk and damage. Viable alternatives. 3 Investing under Risk. Human behaviour and investment choice. Portfolio management. Value-at-Risk (VaR). Monte Carlo simulation. Collective use of mathematical tools. Position keeping. Investment managerial control. The treasurer’s role. Trading and risk management. Investment risk experts. Case study: A large UK PLC defined benefits pension fund. Who controls whom. 4 Investing under Attack. Investor disenchantment. Risk-bearers and risk-takers. Professional investor/shareholder. Investment companies/fund managers. Investment banks. Auditors. A look in the risk mirror. Risk-averse. Risk-neutral. Risk-takers. Investor analysis. Types of CEO – birds of a feather. The CEO eagle – The M&A addict. The CEO dodo – Risk-phobic. The CEO ostrich – Risk-ignorant. The CEO owl – Risk-acceptable. The CEO magpie – Risk-seeking. Company structure and risks. Case study: The executive background check. Risk vanities. Pensions mis-selling. Case study: Boo.com. Corporate misgovernance. Accuracy of corporate losses. Classes of instruments and their risk components. Derivatives. Bonds. Equities. Investment as a project. 5 Investing under Investigation. Instinct versus ability. Checking corporate fundamentals. Formulate a business plan. Due diligence. Risk support and methodology. Investor cynicism. Case study: LTCM. 6 Risk Warning Signs. Prevailing risk attitudes. Reputational risk. Case study: Enron. Airborne early warning (AEW). International accounting standards (IAS). Credit ratings. The ratings procedure. Business lines. Law and risk management. Case study: the UK Football League. What the law covers. Completeness of contract. Case study: Merrill Lynch versus Unilever pension fund. Sarbanes–Oxley Act for audit control. Insurance. Risk retention: self-insurance. Case study: Insuring big oil projects. Case study: the Names and Lloyds, London. Sharing, transferring or mitigating risk. Search for risk management. Alternative theories. Causality and managing investment risk. Value-added chain. Risk management to pick up the pieces. Scenario analysis. Case study: Business Continuity, lessons from September 11th. Case study: Guaranteed annuity payments. Stress testing. Bayesian probability. Artificial intelligence (AI) and expert systems. Case study: Anti-money laundering. Risk maps. 7 The Promise of Risk Management Systems. Current state of systems. Risk management methodology – RAMP. Activity A: Analysis and project launch. Activity B: Risk review. Activity C: Risk management. Activity D: Project close down. Financial IT system support. The Basel II Loss Database project. Case study: Algorithmics systems in a bank. Integration and straight-through processing (STP). IT systems project failure. Case study: IT overload. Tying financial system functionality to promise. Risk Prioritisation. Giving the go-ahead. Building risk management systems. Finding the “best” risk management system. The invitation to tender (ITT) process. Business functionality requirements. User’s functional priorities. Business flirting – the user’s system specification. Business flirting – the supplier’s reply. Judging the ITT beauty show. System priorities. Project life cycle. Risk management project plan. A – Our risk strategy. B – Risk review. C – Risk management. D – Project close down. 8 Realistic Risk Management. Intentional damage. Fraud, theft and loss. Fraud perceived as the main criminal threat. 419 – not a number, but a way of life. Operational risk in emerging markets. Parachuting in the experts. Case study: Chase Manhattan in Russia. Unintentional damage. Case study: Split capital investment funds. Rogue staff. Exposure to fraud at the top. Exposure to fraud lower down the rung. Case Study: Deutsche Morgan-Grenfell, 1996. An operational risk perspective. Operational risk protection: the “roof”. Investment project growth. Phase 1: High skill. Phase 2: High performance. Phase 3: Client growth. Phase 4: Asset growth. Case Study: Soros Quantum Fund and Buffett’s Berkshire Hathaway. Phase 5: Skill decline. Investor risk skills. Investment management skills in the market. Hiring star managers and CEOs. Investment managers and governance. Creating a winning fund management team. Building for investment resilience. Moving ahead from the investment herd. Recap on operational risk. 9 The Basel II Banking Regulations. Current banking problems. Basel II – a brief overview. 1 Pillar one: Capital requirements. 2 Pillar two: Supervisory review. 3 Pillar three: Market discipline. Cost-benefits under Basel II. Risk for financial institutions and insurance. The Basel II OpRisk principles. Loss database. Loss database drawbacks. Scenarios for Basel II OpRisk. Next steps: After Basel. 10 Future-proofing against Risk. Moral hazard. Risk detection. Case study: Marconi. Risk countermeasures. Case study: The Yakuza and shareholder meetings. Risk firepower. Case study: Huntingdon Life Sciences (HLS). Insurance: the buck used to stop here. Risk monitoring. Case study: WorldCom. Forensic accounting. Appropriate risk management structure. Case study: BCCI bank. Facts, not figures. New risk focus. 11 Integrated Risk Management. Developments in the finance sector. Organic risk management. Separating reputation from risk management. Case study: Enron. Future for risk management. The case for organic risk management. Case study: Hunting for staff deceit. Unintentional (ostensibly) and legal. Intentional and illegal. The reigning investment ideology. 12 Summary and Conclusions. Summary of risk management. Identify stakeholders and interests. Match risk appetites. Match risk time horizons. Organic due diligence. Value for money. Reputation risk. The corporate governance model. Hitting back. Keep your eyes on the prize. Conclusions. Index.

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Book SynopsisOffers a practical approach to ART - an alternative method by which companies take on various types of risk. This book shows readers what ART is, how it can be used to mitigate risk, and how certain instruments/structures associated with ART should be implemented. It also explains readers what works and what doesn't when using this technique.Table of ContentsAcknowledgements ix Biography xi PART I: RISK AND THE ART MARKET 1 1 Overview of Risk Management 3 1.1 Risk and return 3 1.2 Active risk management 5 1.2.1 Risk management processes 6 1.2.2 Risk management techniques 7 1.2.3 General risk management considerations 10 1.3 Risk concepts 12 1.3.1 Expected value and variance 12 1.3.2 Risk aversion 14 1.3.3 Risk transfer and the insurance mechanism 16 1.3.4 Diversification and risk pooling 17 1.3.5 Hedging 20 1.3.6 Moral hazard, adverse selection and basis risk 21 1.3.7 Non-insurance transfers 22 1.4 Outline of the book 22 2 Risk Management Drivers: Theoretical Motivations, Benefits, and Costs 25 2.1 Maximizing enterprise value 25 2.2 The decision framework 29 2.2.1 Replacement and abandonment 31 2.2.2 Costs and benefits of loss control 31 2.2.3 Costs and benefits of loss financing 32 2.2.4 Costs and benefits of risk reduction 35 2.3 Coping with market cycles 35 2.3.1 Insurance pricing 35 2.3.2 Hard versus soft markets 37 2.4 Accessing new risk capacity 42 2.5 Diversifying the credit risk of intermediaries 43 2.6 Managing enterprise risks intelligently 44 2.7 Reducing taxes 45 2.8 Overcoming regulatory barriers 46 2.9 Capitalizing on deregulation 47 3 The ART Market and its Participants 49 3.1 A definition of ART 49 3.2 Origins and background of ART 51 3.3 Market participants 52 3.3.1 Insurers and reinsurers 53 3.3.2 Investment, commercial, and universal banks 55 3.3.3 Corporate end-users 56 3.3.4 Investors/capital providers 57 3.3.5 Insurance agents and brokers 57 3.4 Product and market convergence 58 PART II: INSURANCE AND REINSURANCE 61 4 Primary Insurance/Reinsurance Contracts 63 4.1 Insurance concepts 63 4.2 Insurance and loss financing 64 4.3 Primary insurance contracts 65 4.3.1 Maximum risk transfer contracts 65 4.3.2 Minimal risk transfer contracts 66 4.3.3 Layered insurance coverage 76 4.4 Reinsurance and retrocession contracts 78 4.4.1 Facultative and treaty reinsurance 81 4.4.2 Quota share, surplus share, excess of loss, and reinsurance pools 81 4.4.3 Finite reinsurance 86 5 Captives 89 5.1 Using captives to retain risks 89 5.1.1 Background and function 89 5.1.2 Benefits and costs 91 5.2 Forms of captives 94 5.2.1 Pure captives 94 5.2.2 Sister captives 95 5.2.3 Group captives 95 5.2.4 Rent-a-captives and protected cell companies 96 5.2.5 Risk retention groups 99 5.3 Tax consequences 100 6 Multi-risk Products 103 6.1 Multiple peril products 103 6.2 Multiple trigger products 106 PART III: CAPITAL MARKETS 113 7 Capital Markets Issues and Securitization 115 7.1 Overview of securitization 115 7.2 Insurance-linked securities 116 7.2.1 Overview 116 7.2.2 Costs and benefits 118 7.3 Structural features 119 7.3.1 Issuing vehicles 119 7.3.2 Triggers 121 7.3.3 Tranches 123 7.4 Catastrophe bonds 124 7.4.1 Hurricane 124 7.4.2 Earthquake 127 7.4.3 Windstorm 129 7.4.4 Multiple cat peril ILS and peril by tranche ILS 129 7.4.5 Bond/derivative variations 130 7.5 Other insurance-linked securities 131 8 Contingent Capital Structures 135 8.1 Creating post-loss financing products 135 8.2 Contingent debt 139 8.2.1 Committed capital facilities 139 8.2.2 Contingent surplus notes 140 8.2.3 Contingency loans 141 8.2.4 Financial guarantees 142 8.3 Contingent equity 142 8.3.1 Loss equity puts 143 8.3.2 Put protected equity 146 9 Insurance Derivatives 149 9.1 Derivatives and ART 149 9.2 General characteristics of derivatives 150 9.3 Exchange-traded insurance derivatives 156 9.3.1 Exchange-traded catastrophe derivatives 156 9.3.2 Exchange-traded temperature derivatives 157 9.4 OTC insurance derivatives 162 9.4.1 Catastrophe reinsurance swaps 162 9.4.2 Pure catastrophe swaps 164 9.4.3 Temperature derivatives 164 9.4.4 Other weather derivatives 166 9.4.5 Credit derivatives 167 9.5 Bermuda transformers and capital markets subsidiaries 168 PART IV: ART OF THE FUTURE 171 10 Enterprise Risk Management 173 10.1 Combining risks 173 10.1.1 The enterprise risk management concept 173 10.1.2 Costs and benefits 177 10.2 Developing an enterprise risk management program 179 10.2.1 Strategic and governance considerations 180 10.2.2 Program blueprint 182 10.2.3 Program costs 186 10.3 End-user demand 188 11 Prospects for Growth 193 11.1 Drivers of growth 193 11.2 Barriers to growth 194 11.3 Market segments 196 11.3.1 Finite structures 196 11.3.2 Captives 197 11.3.3 Multi-risk products 197 11.3.4 Capital markets issues 198 11.3.5 Contingent capital 198 11.3.6 Insurance derivatives 199 11.3.7 Enterprise risk management 199 11.4 End-user profiles 201 11.5 Future convergence 202 Glossary 205 Selected References 221 Index 223

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Book SynopsisThe ultimate guide to maximizing shareholder value through ERM The first book to introduce an emerging approach synthesizing ERM and value-based management, Corporate Value of Enterprise Risk Management clarifies ERM as a strategic business management approach that enhances strategic planning and other decision-making processes.Table of ContentsForeword ix Preface xi Acknowledgments xix Part I: Basic ERM infrastructure Chapter 1: Introduction 3 Evolution of ERM 4 Basel Accords 4 September 11th 5 Corporate Accounting Fraud 7 Hurricane Katrina 9 Rating Agency Scrutiny 10 Financial Crisis 11 Rare Events 13 Long-Term Trends 14 Challenges to ERM 15 Summary 16 Notes 16 Chapter 2: Defining ERM 18 Definition of Risk 18 Definition of ERM 24 Summary 58 Notes 59 Chapter 3: ERM Framework 61 Value-Based ERM Framework 63 Challenges of Traditional ERM Frameworks 63 Value-Based ERM Framework 65 Overcoming the Challenges by Using a Value-Based ERM Framework 83 Summary 109 Notes 110 Part II: ERM Process Cycle Chapter 4: Risk Identification 113 Components of Risk Identification 113 Five Keys to Successful Risk Identification 114 Risk Categorization and Definition 114 Qualitative Risk Assessment 129 Emerging Risk Identification 153 Killer Risks 155 Summary 166 Notes 167 Chapter 5: Risk Quantification 168 Practical Modeling 169 Components of Risk Quantification 174 Calculate Baseline Company Value 174 Quantify Individual Risk Exposures 185 Quantify Enterprise Risk Exposure 207 Summary 223 Notes 224 Chapter 6: Risk Decision Making 226 Defining Risk Appetite and Risk Limits 227 Integrating ERM into Decision Making 239 Summary 269 Notes 270 Chapter 7: Risk Messaging 271 Internal Risk Messaging 271 External Risk Messaging 280 Summary 292 Notes 293 Part III: Risk Governance And Other Topics Chapter 8: Risk Governance 297 Focusing on Common Themes 298 Components of Risk Governance 298 Roles and Responsibilities 298 Organizational Structure 319 Policies and Procedures 325 Summary 327 Notes 327 Chapter 9: Financial Crisis Case Study 329 Summary of the Financial Crisis 330 Evaluating Bank Risk Management Practices 332 Summary 342 Notes 343 Chapter 10: ERM for Non-Corporate Entities 344 Generalizing the Value-Based ERM Approach 344 Complexities of Objectives-Based ERM 350 Examples of NCEs 351 Summary 369 Conclusion 369 Notes 369 Glossary 371 About the Author 389 Index 391

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Book SynopsisPraise for the First Edition This book is refreshing to read since it takes an important topic... and presents it in a clear and concise manner by using examples that include visual presentations of the problem, solution methods, and results along with an explanation of the mathematical and procedural steps required to model the problem and work through to a solution. Journal of Classification Thoroughly updated and revised, Network and Discrete Location: Models, Algorithms, and Applications, Second Edition remains the go-to guide on facility location modeling. The book offers a unique introduction to methodological tools for solving location models and provides insight into when each approach is useful and what information can be obtained. The Second Edition focuses on real-world extensions of the basic models used in locating facilities, including production and diTable of ContentsPreface to the First and Second Editions xi Acknowledgments xvii 1. Introduction to Location Theory and Models 1 1.1 Introduction 1 1.2 Key Questions Addressed by Location Models 3 1.3 Example Problem Descriptions 4 1.3.1 Ambulance Location 4 1.3.2 Siting Landfills for Hazardous Wastes 10 1.3.3 Summary 10 1.4 Key Dimensions of Location Problems and Models 11 1.4.1 Planar Versus Network Versus Discrete Location Models 11 1.4.2 Tree Problems Versus General Graph Problems 12 1.4.3 Distance Metrics 13 1.4.4 Number of Facilities to Locate 14 1.4.5 Static Versus Dynamic Location Problems 15 1.4.6 Deterministic Versus Probabilistic Models 16 1.4.7 Single- Versus Multiple-Product Models 16 1.4.8 Private Versus Public Sector Problems 17 1.4.9 Single- Versus Multiple-Objective Problems and Models 17 1.4.10 Elastic Versus Inelastic Demand 18 1.4.11 Capacitated Versus Uncapacitated Facilities 18 1.4.12 Nearest Facility Versus General Demand Allocation Models 18 1.4.13 Hierarchical Versus Single-Level Models 19 1.4.14 Desirable Versus Undesirable Facilities 19 1.5 A Taxonomy of Location Models 20 1.5.1 Typology of Location Models 20 1.5.2 A Simple Analytic Model 22 1.6 Summary 26 Exercises 27 2. Review of Linear Programming 29 2.1 Introduction 29 2.2 The Canonical Form of a Linear Programming Problem 31 2.3 Constructing the Dual of an LP Problem 34 2.4 Complementary Slackness and the Relationships Between the Primal and the Dual Linear Programming Problems 36 2.5 Solving a Linear Programming Problem in Excel 43 2.6 The Transportation Problem 47 2.7 The Shortest Path Problem 64 2.7.1 The Shortest Path Problem in Excel 78 2.7.2 The Shortest Path Problem in AMPL 80 2.8 The Out-of-Kilter Flow Algorithm 80 2.9 Integer Programming Problems 92 2.10 Summary 96 Exercises 97 3. An Overview of Complexity Analysis 111 3.1 Introduction 111 3.2 Basic Concepts and Notation 112 3.3 Example Computation of an Algorithm’s Complexity 115 3.4 The Classes P and NP (and NP-Hard and NP-Complete) 117 3.5 Summary 122 Exercises 123 4. Covering Problems 124 4.1 Introduction and the Notion of Coverage 124 4.2 The Set Covering Model 125 4.3 Applications of the Set Covering Model 137 4.4 Variants of the Set Covering Location Model 140 4.5 The Maximum Covering Location Model 143 4.5.1 The Greedy Adding Algorithm: A Heuristic Algorithm for Solving the Maximum Covering Location Model 146 4.5.2 Lagrangian Relaxation: An Optimization-Based Heuristic Algorithm for Solving the Maximum Covering Location Model 154 4.5.3 Other Solution Approaches and Example Results 163 4.6 An Interesting Model Property or It Ain’t Necessarily So 164 4.7 The Maximum Expected Covering Location Model 168 4.8 Summary 174 Exercises 175 5. Center Problems 193 5.1 Introduction 193 5.2 Vertex P-Center Formulation 198 5.3 The Absolute 1- and 2-Center Problems on a Tree 201 5.3.1 Absolute 1-Center on an Unweighted Tree 201 5.3.2 Absolute 2-Centers on an Unweighted Tree 205 5.3.3 Absolute 1-Center on a Weighted Tree 206 5.4 The Unweighted Vertex P-Center Problem on a General Graph 211 5.5 The Unweighted Absolute P-Center Problem on a General Graph 215 5.5.1 Characteristics of the Solution to the Absolute P-Center Problem 215 5.5.2 An Algorithm for the Unweighted Absolute P-Center on a General Graph 219 5.6 Summary 229 Exercises 230 6. Median Problems 235 6.1 Introduction 235 6.2 Formulation and Properties 237 6.3 1-Median Problem on a Tree 241 6.4 Heuristic Algorithms for the P-Median Problem 246 6.5 An Optimization-Based Lagrangian Algorithm for the P-Median Problem 260 6.5.1 Methodological Development 260 6.5.2 Numerical Example 265 6.5.3 Extensions and Enhancements to the Lagrangian Procedures 271 6.6 Computational Results Using the Heuristic Algorithms and the Lagrangian Relaxation Algorithm 271 6.7 Another Interesting Property or It Still Ain’t Necessarily So 277 6.8 Summary 283 Exercises 285 7. Fixed Charge Facility Location Problems 294 7.1 Introduction 294 7.2 Uncapacitated Fixed Charge Facility Location Problems 297 7.2.1 Heuristic Construction Algorithms 298 7.2.2 Heuristic Improvement Algorithms 305 7.2.3 A Lagrangian Relaxation Approach 311 7.2.4 A Dual-Based Approach 314 7.3 Capacitated Fixed Charge Facility Location Problems 325 7.3.1 Lagrangian Relaxation Approaches 328 7.3.2 Bender’s Decomposition 345 7.4 Summary 355 Exercises 356 8. Extensions of Location Models 362 8.1 Introduction 362 8.2 Multiobjective Problems 362 8.3 Hierarchical Facility Location Models 375 8.3.1 Basic Notions of Hierarchical Facilities 375 8.3.2 Basic Median-Based Hierarchical Location Formulations 379 8.3.3 Coverage-Based Hierarchical Location Formulations 383 8.3.4 Extensions of Hierarchical Location Formulations 385 8.4 Models of Interacting Facilities 387 8.4.1 Flows Between Facilities 387 8.4.2 Facilities with Proximity Constraints 390 8.5 Multiproduct Flows and Production/Distribution Systems 393 8.6 Location/Routing Problems 399 8.7 Hub Location Problems 410 8.8 Dispersion Models and Models for the Location of Undesirable Facilities 425 8.8.1 Dispersion Models 426 8.8.2 A Maxisum Model for the Location of Undesirable Facilities 429 8.9 An Integrated Location-Inventory Model 435 8.9.1 A Multiobjective Location-Inventory/Covering Model 448 8.9.2 A Look at Aggregation Effects 452 8.10 Reliability and Facility Location Modeling 455 8.10.1 The Expected Failure Case 458 8.10.2 Modeling a Malevolent Attacker 461 8.11 Summary 466 Exercises 468 9. Location Modeling in Perspective 480 9.1 Introduction 480 9.2 The Planning Process for Facility Location 481 9.2.1 Problem Definition 481 9.2.2 Analysis 483 9.2.3 Communication and Decision 489 9.2.4 Implementation 495 9.2.5 Caveats on the Planning Process 496 9.3 Summary 496 Exercises 497 References 499 Index 509

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Book SynopsisAn engaging and comprehensive look at the intersection of financial innovation and the environment This unique book provides readers with a comprehensive look at the new markets being created to help companies manage environmental risks, including weather derivatives, catastrophe bonds, and emission trading permits.Table of ContentsCHAPTER 1: THE EMERGING WORLD OF ENVIRONMENTAL FINANCE. Introduction. An Emerging Field. Why Is It Happening at This Particular Time? Lessons Learned. How Might Environmental Finance Prepare Us for the Challenges Ahead? Conclusion. CHAPTER 2: CONCEPTS AND TOOLS FOR DEVELOPING ENVIRONMENTAL FINANCE. Introduction. Environmental Management and Shareholder Value Creation. Environmental Management Systems. Stakeholder Relationships. Looking Ahead: Scenarios and Simulations. Tools for Risk Transfer. Trading Atmospheric Emission Reduction Credits. Conclusion. CHAPTER 3: THE FINANCIAL SERVICES SECTOR. Introduction. Structure of the Global Market for Financial Capital. Forces Reshaping Financial Service Industries. Core Financial Services. Response of the Financial Services Sector to Deregulation. Financial Services' Approach to Environmental Issues. Conclusion. Endnotes. CHAPTER 4: BANKING. Introduction. Commercial Banking. Direct Liability of Contaminated Land. Brownfield Redevelopment. Risk Management. Environmental Products and Services. Niche Markets and Microcredit. Internal Environmental Management. UNEP Financial Institutions Initiative. Measurements and Reporting of Environmental Management. Investment Banking. Climate Change: Risks and Opportunities for the Banking Sector. Sustainable Energy Funds. The Price of Carbon. Reputational Risk. Conclusion. Web Sites. CHAPTER 5: INSURANCE. Introduction. Angus Ross, Invited Author's Comment. Contaminants in the Environment. Climate Change and Extreme Weather Events. Transferring Risk from the Insurance Industry to the Capital Markets. Regional Variations in the Response of Insurance Companies to the Environmental Challenge. Conclusion. Endnote. CHAPTER 6: INVESTMENTS. Introduction. Evolution of Screening for Social and Environmental Responsibility. The Relationship between Environmental and Financial Performance. Performance of Environmentally Screened Funds. Variation in Research Results. Socially Responsible Investment Portfolio Performance Ratings. Institutional Portfolio Managers. Environmental Products in Fund Management. Environmental Research and Rating Organizations. Weightings. Investable Indexes. Conclusion. Endnotes. Web Sites. CHAPTER 7: CLIMATE CHANGE AND FINANCIAL VULNERABILITY. Introduction. Accepting Climate Change as a Real Phenomenon. Physical Impacts of Climate Change. Vulnerability by Economic Sector. Anticipating Human Response to Climate Change. Critical Factors in Human Response to Climate Change. Conclusion. Web Sites. CHAPTER 8: Environmental Reporting and Verification. Introduction. Trends in Environmental Reporting. Main Types of Environmental Reporting. Pollution Release and Transfer Registers. Accounting Profession and Security Regulators. Environmental Reporting from the Preparer's Perspective. Environmental Reporting from the User's Perspective. Progress in Environmental Reporting. Alan Willis, Invited Author's Comment. Conclusion. Web Sites. CHAPTER 9: Strategies for Managing Environmental Change. Introduction Greenhouse Gas Emission Targets: Rationale, Types, and Methods. Green Housekeeping. Environmental Reporting. Global Monitoring. Climate Change Programs. New Weather-Related Products. Trading Pollution Reduction Credits. Conclusion. Endnotes. Web Sites. CHAPTER 10: THE WAY AHEAD. Introduction. Business and Environmental Change: What's New? The New Paradigm. Data Quality. Leadership. Environmental Change: From Challenge to Opportunity. The Environmental Learning Curve: Redefining Success. APPENDIX A. UNEP Statement by Financial Institutions on the Environment and Sustainable Development. List of Signatories to the UNEP Statement by Financial Institutions on the Environment and Sustainable Development. UNEP Statement of Environmental Commitment by the Insurance Industry. Status of the UNEP Statement of Environmental Commitment by the Insurance Industry. APPENDIX B. APPENDIX C. The Annex 1 Countries. ACRONYMS. REFERENCES. INDEX.

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Book SynopsisThe Power of Alignment Misaligned companies, like cars out of alignment, can develop serious problems if not corrected quickly. They are hard to steer and don't respond well to changes in direction. This groundbreaking book shows you how to getand keepall the vital elements of your organization aligned and headed in the same direction at the same time. Managers must now keep their people centered in the midst of change, deemphasize hierarchy, and distribute leadership by distributing authority, information, knowledge, and customer data throughout their organization. Alignment is a response to the new business reality where customer requirements are in flux, where competitive forces are turbulent, and where the bond of loyalty between an organization and its people has been weakened. The old linear approach to management has given way to one of simultaneityto alignment. As pioneers of the alignment concept, the authors have developed this unique approach based on their wTable of ContentsGetting to the Main Thing. Staying Centered: What Alignment Is All About. Organizational Pathologies. Aligning Activities with Intentions: Vertical Alignment. Ships Passing in the Night: Getting to Horizontal Alignment. The Self-Aligning Organization. Distributed Leadership. Appendices. Notes. Index.

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Book SynopsisComputational finance is a quantitative approach to risk management. This discipline encompasses the algorithmic and numerical procedures that form the backbone of modern mathematical finance and the creation of financial products. This book introduces computational finance and covers both theory and application.Table of ContentsThe Pricing Equations. Analysis of Finite Difference Methods. Special Issues. Coordinate Transformations. Numerical Examples. Index.

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Book SynopsisUsing research related to group psychology along with the practical lessons being learned by the numerous business organizations adopting teams, this book addresses the complex issues associated with teams, and how students can develop the necessary tools to increase their effectiveness as team designers, leaders and members. The book combines research summaries with extended case descriptions of actual teams in business organizations. The authors focus on the key issues that are critical to team success, without overemphasizing unnecessary psychological theory. The case studies are adapted from Business without Bosses, a book written by Charles Manz and Henry Sims and published by Wiley. These cases have been well received by students and business leaders. This is an integrated textbook that combines knowledge from both research and practice into a model that provides students with an opportunity to learn about teams in an efficient yet comprehensive manner.Table of ContentsInputs to Teams: Designing Effective Work Teams. Team Processes: Developing Synergistic Team Relationships. Team Outputs: Assessing and Improving Team Performance. Index.

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Book SynopsisApplying practical tools to the volatile process of negotiating Prognosticators apply Monte Carlo Analysis (MCA) to determine the likelihood and significance of a complete range of future outcomes; Real Options Analysis (ROA) can then be employed to develop pricing structures, or options, for such outcomes. Richard Razgaitis'' Dealmaking shows readers how to apply these powerful valuation tools to a variety of business processes, such as pricing, negotiating, or living with a deal, be it a technology license, and R&D partnership, or an outright sales agreement. Dealmaking distinguishes itself from other negotiating guides not only by treating negotiations as an increasingly common situation, but also by presenting a tool-based approach that creates flexible, practical valuation models. This forward-thinking guide includes a variety of checklists, case studies, and a CD-ROM with the appropriate software. Richard Razgaitis (Bloomsbury, NJ) is a Managing Director at InteCap, ITable of ContentsCHAPTER 1: Introduction. Why Another Negotiating Book? iDealmaking™. High Significance, High Ambiguity Contexts. The “So What?” Question. Valuation, Pricing, and Negotiation. Tangible and Intangible Content/Value and the New Economy. The iDealmaking Process. Organization of the Book. CHAPTER 2: Negotiation People, Language, and Frameworks. Negotiation People. A Quest. The Nut, the Number, the Bogie, and the Toe Tag. Quantification, Rationality, and Hyperrationality. CHAPTER 3: The Box and the Wheelbarrow: What Am I Selling (or Buying)? The Box. The Wheelbarrow. iDealmaking’s Spine. The Term Sheet. Methods and Tools. CHAPTER 4: Discounted Cash Flow Analysis and Introduction to Monte Carlo Modeling. Discounted Cash Flow Analysis. Scenario (DCF) Analysis. Monte Carlo Method: An Introduction. Closure and Application to Negotiation. CHAPTER 5: Monte Carlo Method. A Model Cash Flow Template. Income and Cash Flow Statements: 3M Example. Monte Carlo Assumption Tools. Uniform Distribution: Highest Uncertainty Between Certain Bounds. Triangular Distribution. The Normal Distribution. Other Distribution Functions. Monte Carlo Model of the DCF Template. Combined CAGR and Cost Ratio Uncertainty Distributions. Correlating Assumptions. Additional Assumption Distributions. Twentieth (and Other) Percentile Valuations. Comparison of Monte Carlo Results with DCF (RAHR) Method. Scenario Modeling in Monte Carlo. Monte Carlo Tools for Determining Variable Significance. Final Points on the Monte Carlo Model. Appendix 5A: Crystal Ball Report Corresponding to the Results Presented in Exhibit 5.15 for a Uniform Cost Distribution Assumption. Appendix 5B: Crystal Ball Report Corresponding to the Results Presented in Exhibit 5.16 for a Double-Humped Cost Distribution Assumption. CHAPTER 6: Introduction to Real Options. Perspective 1: Discounted Cash Flow (DCF) View of the Six-Scenario Opportunity. Perspective 2: Real Option View of the Six-Scenario Opportunity. Perspective 3: A Model for a Buyer’s Counteroffer. Black-Scholes Equation for Option Pricing. The Black-Scholes Equation Applied to an Option to a Share of Yahoo! What Do Equations Represent? “What Is Truth?”. Using Black-Scholes for an Opportunity Valuation . Summary of Real Option Realities versus Black-Scholes. CHAPTER 7: Real Options Applied to Dealmaking. Beyond Black-Scholes. Emergence of Real Options Analysis. Introducing the Binomial Lattice for Real Options. Calculating Option Values from Binomial Matrices. Calculating Option Values Using Decisioneering’s Real Options Analysis Toolkit. Using Real Options Analysis Toolkit Software in Dealmaking. Calculating (or Estimating) Option Volatility. Calculating the Option Value of Options on Options. Conclusions and Observations. Appendix 7A: Real Options Equations. CHAPTER 8: Knowledge and Unertainty. Future Knowledge. Dealing with Uncertainty. Standards. What About Truth? CHAPTER 9: Deal Pricing. Simple Pricing. Box Pricing. Wheelbarrow Pricing. Total Cash Payment. Cash When. Cash Maybe. Cash As. Cash Substitutes. Term Sheets. CHAPTER 10: Negotiation Perspectives and Dynamics. Negotiation Perspectives. Negotiating Sequencing. Issue Explosion. Negotiating Values. Deal/Agreement Complexity. CHAPTER 11: Plan B. Auctions and Betrothals. Plan B Analysis and Tools. Plan B Implementation. Plan B Caution. Plan B from the Buyer’s Perspective. Plan B and Life. CHAPTER 12: Conclusion. In Theory, In Practice. Value Creation by Dealmaking. A Final (True) Story. Bibliography. Index.

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Book SynopsisThis text is a coherent account of the science of decision making. It includes the models of operations research and those models of probability that relate to decision making. An emphasis in placed between these connections and relates these models to nearly all of the professions.Table of ContentsPreface. PART A: INTRODUCTION. The Science of Decision Making. Getting Started with Spreadsheets. PART B: USING LINEAR PROGRAMS. Analyzing Solutions of Linear Programs. A Survey of Linear Programs. Networks. Integer Programs. PART C: PROBABILITY FOR DECISION MAKING. Introduction to Probability Models. Discrete Random Variables. Decision Trees and Generalizations. Utility Theory and Decision Analysis. Continuous Random Variables. PART D: STOCHASTIC SYSTEMS. Inventory. Markov Chains. Queueing. Simulation. PART E: GAME THEORY. Game Theory. PART F: SOLVING LINEAR PROGRAMS. Solving Linear Equations. The Simplex Method. Duality. Appendix: Note on Excel. Index.

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Book SynopsisHow to decide when to say "yes" to a credit applicant-without jeopardizing your reputation or your company's bottom line Deciding whether a credit applicant is ultimately creditworthy involves more than just poring over their financial statements-it takes the kind of advice only an experienced credit expert, like Hal Schaeffer, can give.Trade Review"I recommend it to credit professionals who want to move from the back office to the front office" (Credit Focus, Summer 2007)Table of ContentsSTEPS FOR A SOUND BUSINESS CREDIT DECISION. A Is for Analysis for Creative Credit Management. B Is for Building Essential Business Credit Information. C Is for Considering All Factors That Impact the Business Credit Decision. D Is for Decision (or Recommendation). CASE STUDIES. Case Study 1: Sure Progress, Inc: Creative Alternatives to the Direct Extension of Credit. Case Study 2: International Exports, Inc: Creative Methods to Reestablish Open Account Credit with a Former Problem Customer. Case Study 3: Special Materials, Inc: Business Issues and Costs That Effect a Sound Business Credit Decision. Case Study 4: Fast Action Suppliers, Inc: Preserving a Company's Reputation That is Tarnished by a Customer's Slow Paying Practices. Case Study 5: True Delivery Seals, Inc: Minimizing Exposure to Loss Due to the Cancellation of a Distributor Contract. Case Study 6: First Choice Company, Inc: Dealing with a Last-Minute Credit Decision. Case Study 7: Perfect Image Suppliers, Inc: Addressing a Customer with an Overbearing Attitude. Case Study 8: Basic Needs, Inc: Considering Increased Credit Limits for Existing Customers. Case Study 9: Drugs "R" Us Products, Inc: Addressing a Customer's "Shady" Past. Case Study 10: Freezy Refrigerator Repair Co: Addressing the Problems with the Sale of a Service. Case Study 11: Terra Technology, Inc. The Risk of a Custom Order Sale. Case Study 12: Compania Swift, Inc. The Sale of Goods to Foreign Customers. Index.

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Book SynopsisThe father of data warehousing incorporates the latest technologies into his blueprint for integrated decision support systems Today''s corporate IT and data warehouse managers are required to make a small army of technologies work together to ensure fast and accurate information for business managers. Bill Inmon created the Corporate Information Factory to solve the needs of these managers. Since the First Edition, the design of the factory has grown and changed dramatically. This Second Edition, revised and expanded by 40% with five new chapters, incorporates these changes. This step-by-step guide will enable readers to connect their legacy systems with the data warehouse and deal with a host of new and changing technologies, including Web access mechanisms, e-commerce systems, ERP (Enterprise Resource Planning) systems. The book also looks closely at exploration and data mining servers for analyzing customer behavior and departmental data marts for finance, Table of ContentsPreface. Acknowledgments. Creating an Information Ecosystem. Introducing the Corporate Information Factory. The External World Component. The Applications Component. The Integration and Transformation Layer Component. The Operational Data Store Component. The Data Warehouse Component. The Data Mart Component. The Exploration and Data Mining Warehouse Components. The Alternative Storage Component. The Internet/Intranet Components. The Metadata Component. The Decision Support Capabilities. Variations to the Corporate Information Factory. Building the Corporate Information Factory. Managing the Corporate Information Factory. Multiple Data Warehouses across a Large Enterprise. Appendix A: CIF Architecture Guidelines. Glossary. Recommended Reading. Index.

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Book SynopsisThis book presents a new way of seeing the business value of information, people and IT as well as a way of measuring and managing these capabilities in order to improve business performance. Packed with real-world examples, the book presents the best and worst practices companies have implemented to address these issues.Trade Review"this work does a lot to broaden the thinking of how IT needs to be deployed and provides the means by which levels of effectiveness can be gauged." --Information Age, May 2001 "there is much to be gained from this book ..." --Information World Review, June 2001Table of ContentsInformation Capabilities Improve Business Performance; How to Measure Information Capabilities; Achieving High Information Orientation (IO); Changing People's Information Behaviours; Understanding the Power of Information Management; Boosting the IT Pay-off; Business Strategy, Information Capabilities and Business Performance; Future Business Strategy, the IC Maximization Effect and Competing with Information; Implementing Information Capabilities Globally; The Personal Challenge to Lead with Information Capabilities

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Book SynopsisThis essential addition to the acclaimed Portable MBA Series contains an important group of concepts and skills in order to understand the business environment along with a framework for making business decisions.Table of ContentsBusiness and Economics. MACROECONOMICS. Measuring Economic Activity. The Business Cycle. Producing Goods and Services. Inflation and Unemployment. Economic Lubricants. A Borderless World. MICROECONOMICS. Understanding the Market Process. Consumer Respnse. Producer Response. Putting It All Together. Appendix. Glossary. Notes. Index.

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Book SynopsisPraise for Carbon Finance A timely, objective, and informative analysis of the financial opportunities and challenges presented by climate change, including a thorough description of adaptive measures and insurance products for managing risk in a carbon constrained economy. James R. Evans, M. Eng. P. Geo., Senior Manager, Environmental Risk Management, RBC Financial Group Climate change will have enormous financial implications in the years to come. How businesses and investors respond to the risks and opportunities from this issue will have an enormous rippling effect in the global economy. Sonia Labatt and Rodney White''s insights and thoughtful analysis should be read by all who want to successfully navigate this global business issue. Andrea Moffat, Director, Corporate Programs, Ceres In Carbon Finance, Labatt and White present a clear and accessible description of the climate change debate and the carbon market that is developing.Trade Review"A clear assessment of the carbon market and financial products being developed to help address the threat of climate change." (Ethical Corporation Magazine, May 2007)Table of ContentsForeword iii About the Authors xiii Acknowledgments xv List of Acronyms xvii Chapter 1 Introduction 1 Introduction 1 The Changing Climate 3 The Scientific Context of Climate Change 5 The Political Context of Climate Change 8 Corporate Climate Risk 11 Regulatory Risk 11 Physical Risks 13 Business Risks 14 Climate Policies 15 Mitigation Policies 15 Adaptation Measures 19 Role of the Financial Services Sector 21 Conclusion 23 Chapter 2 The Energy Chain 27 Introduction 27 The Energy Chain and the Value Chain 28 Carbon Policies 32 Policy Approaches 32 The Broader Policy Context 33 National and Local Self-Sufficiency 33 Impacts of Different Users and Uses on Climate Change 34 Users: Business, Households, and Government 34 Uses: Manufacturing, Transportation, Heating, Water, and Solid Waste 34 Sources of Energy: Fossil Fuels 36 Coal 36 Oil 37 Gas 38 Sources of Energy: Nuclear Energy 39 Sources of Energy: Hydroelectric Power 41 Sources of Energy: Renewables 42 Traditional Biomass 44 Wind Energy 44 Solar Energy 46 Tidal Energy and Wave Energy 47 Modern Biomass and Biofuels 48 Geothermal Energy 50 Key Issues 50 A Hydrogen Economy Based on Fuel Cells? 51 Carbon Sequestration 52 Unintended Discharges 53 Financing the Transformation of the Energy Chain: The Role of Venture Capital 53 Conclusion 55 Chapter 3 Regulated and Energy-Intensive Sectors 57 Introduction 57 Power Industry 57 Integrated Oil and Gas Industry 65 Government Mandates 65 Physical Capital 66 Restricted Access to Oil and Gas Reserves 66 The Coming Age of Gas, and Beyond 68 Global Concerns Regarding Energy Security 70 Transportation 71 Automotive Industry 72 Factors Affecting Auto Manufacturers’ Carbon Profile 76 Aviation 80 Cement 82 Competitive Implications of Climate Risk in Regulated and Energy-Intensive Sectors 84 Conclusion 87 Chapter 4 The Physical Impacts of Climate Change on the Evolution of Carbon Finance 89 Introduction 89 Physical Impacts on Unregulated Sectors 90 Water Supply and Treatment 90 Agriculture 92 Forestry 94 Fisheries 96 Real Property and Production Facilities 96 Transportation 97 Tourism 97 Municipalities 98 The Built Environment 100 Physical Impacts on Carbon-Regulated Sectors 103 Electric Power 103 Oil and Gas Producers 104 Financial Services 105 Banking 105 Investment 106 Insurance 106 Conclusion 108 Chapter 5 Institutional Investors and Climate Change 111 Introduction 111 Institutional Investors: Size and Global Reach 112 Environmental Reporting 112 Corporations 112 Institutional Investors 113 Corporate Environmental Reporting 113 New Era of Fiduciary Responsibility for Institutional Investors 116 Investment Decision Making 117 Active Engagement 118 Shareholder Resolutions and Proxy Voting 120 Mutual Funds 122 New Momentum in the Corporate World 125 Barriers to the Financial Consideration of Climate Change 127 Institutional Investors and Climate Change 130 Institutional Investors’ Group on Climate Change (IIGCC) 131 Carbon Disclosure Project (CDP) 131 The Equator Principles 134 Investor Network on Climate Risk (INCR) 135 Conclusion 135 Chapter 6 Emissions Trading in Theory and Practice 137 Introduction 137 How Carbon Is Traded Now 140 The Kyoto Protocol 140 The Chicago Climate Exchange 143 The European Union Emission Trading Scheme 143 The Price of Carbon in the EU ETS 148 Countries outside Europe with Kyoto Caps 150 Carbon Markets in the United States and Australia 151 Setting up the Clean Development Mechanism and Joint Implementation 153 The Role of Carbon Funds, Carbon Brokers, and Exchanges 156 Key Issues 159 Verification—Protocols for Measuring Emission Reductions 159 Controlling the Sale of ‘‘Hot Air’’ 160 The Quality and Price of Carbon Credits 161 Enforcing Compliance 161 Integrating the Various Trading Platforms 162 The CDM Bottleneck 162 Extending the Time Horizon beyond 2012 163 Extending Carbon Caps to Uncapped Parties 163 The Carbon Offset Market 164 The Role of Insurance in Emissions Trading 165 Issues for Dispute Resolution 166 Conclusion 166 Chapter 7 Climate Change and Environmental Security: Individuals, Communities, Nations 169 Introduction 169 Direct Effect of Extreme Weather Events 170 Health Effects of Climate Change 173 Direct Effects of Temperature Extremes: Heat Waves and Cold Spells 174 Indirect Effects of Climate Change: Vector-Borne Infectious Diseases 175 Polar Regions 179 Climate Systems and National Sovereignty 181 The Gulf Stream and the Thermohaline Current 181 The El Niño/Southern Oscillation (ENSO) 183 Conclusion 185 Chapter 8 Adapting to Adverse and Severe Weather 187 Introduction 187 Adverse Weather: The Role of Weather Derivatives 188 Weather Derivative Instruments 191 Examples of Weather Derivative Contracts 192 Current Status of Weather Markets 193 Constraints on the Weather Derivatives Market 196 Severe Weather: The Role of Catastrophe Bonds 198 The Structure of a Catastrophe Bond 199 Catastrophe Bonds and Carbon Finance 200 Conclusion 201 Chapter 9 Key Players in the Carbon Markets by Martin Whittaker, guest author 205 Introduction 205 Basic Elements of the Market 206 EU ETS Trading 206 Clean Development Mechanism (CDM) and Joint Implementation (JI) Projects 207 Intermediaries, Speculators, and Professional Services 208 Key Private-Sector Players 210 Compliance Participants 210 Commercial Banks 210 Carbon Funds 211 Speculative Investors 211 Project Developers and Aggregators, Consultants 213 Equity Research 213 Carbon Brokers 215 Exchanges 216 Credit Rating Agencies 217 Insurers 217 Key Players from the Public Sector 218 National Governments 218 National Business Associations 219 Multilateral Banks 219 Information Services 220 Professional Services 221 Accounting 221 Legal 221 New Horizons for the Carbon Market 222 Carbon as an Asset Class 222 Mainstreaming into Project Finance 222 Conclusion 223 Chapter 10 Carbon Finance: Present Status and Future Prospects 225 Introduction 225 Trading Volumes in Carbon and Weather Markets 227 Carbon Markets 227 Weather Derivatives 228 What Can Be Traded Where? (and What Cannot?) 229 Price Discovery 230 The Evolution of Products for Carbon Finance 231 Litigation over Responsibility for Climate Change 232 Is Carbon Finance Likely to Help Us Avert Dangerous Levels of Climate Change? 234 Carbon Finance within the Broader Field of Environmental Finance 235 Conclusion 237 Endnotes 241 Web Sites 245 References 247 Index 263

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Book SynopsisThis is a book on information management for non--IT managers. It is concerned with how the management of information can create real business value. The four ways of doing this -- minimizing risk, reducing costs, delighting customers, and creating a new reality -- are shown via the unique a four--cross diagrama .Trade ReviewCompeting with Information is a useful handbook for anyone utterly confused by, or just interested in getting to grips with, the whole area of information and knowledge management." (Sunday Business Post, 16th July 2000) "...well argued..." (Long Range Planning, Vol. 34 2001)Table of ContentsForeword Preface Acknowledgements Part One Competing with Information - A Role for Every Manager 1 Why Information is the Responsibility of Every Manager Donald Marchand 2 Creating Business Value with Information Donald Marchand Part Two Putting Information to Work Section A Adding Value with Customers 3 Using Information to Bond with Customers Jacques Horovitz 4 Information as a Service to the Customer Jacques Horovitz 5 Releasing the Power of Market Sensing Sean Meehan 6 Decisions at the Speed of Light - The Impact of Information Technology John Walsh Section B Creating New Reality 7 From Information to Knowledge - How Managers Learn Xavier Gilbert 8 From Information and Knowledge to Innovation Jean-Philippe Deschamps Section C Reducing Costs 9 Co-configuration: Efficient Personalization through Information and IT Andrew Boynton and Bart Victor 10 Using Information for Strategic Cost Reduction Robert Howell Section D Minimizing Risks 11 Information and the Management of Risk Stewart Hamilton 12 Controlling Risks Stewart Hamilton Part Three How your Company can Compete with Information 13 Competing with Information - a Diagnostic for Managers Donald Marchand 14 Open Company Values: Transforming Information into Knowledge-Based Advantages Piero Morosini 15 The New Wave of Business Process Redesign and IT in Demand and Supply Chain Management Donald Marchand 16 The IT Advantage: Competing Globally with Business Flexibility and Standardization Donald Marchand 17 Building E-Commerce Capabilities: the Four-Net Challenge Donald Marchand Contributors Index

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Book SynopsisIdentifies and analyzes the social, political and problematic nature of systems and the use of IT in contemporary society. Considers the growing complexity of IT management issues, the changing profiles and organization of the IS profession and the dominant rise of a user relations problem within modern systems development. Features a detailed, case study of a major systems project--from the early decisions involving desirability and design to launch and initial assessment. Analyzes the shift from a technological-led to a strategic and marketing-led use of IT.Table of ContentsOrganizational Politics and Theories of Technological Change. The Social Construction of Technology as Political Process. Responses to Complexity: Developments in IT Management andUse. The IS Specialism: Organisation, Development and Culture. Looking into User Relations. Business Application Software: Masculinity and the Making ofSoftware. Building Computer Systems at Pensco: The Pensions Project. Separate Realities: Pensco's Different Pensions Projects. The Politics and Pain of Managing Information Systems. Constructing Technology Context at Pensco: Systems, Staff andSystems Practices. The Politics of User Relations: The IS Division. Conclusion. References. Index.

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Book SynopsisThis book is about increasing team performance. It focuses on building system dynamics models when tackling a mix of interrelated strategic problems to enhance team learning, foster consensus, and create commitment. The book is intended to be applied in the organizations of today.Table of ContentsIndividual and Organizational Problem Construction. System Dynamics: Problem Identification and SystemConceptualization. System Dynamics: Model Formulation and Analysis. Designing Group Model-Building Projects. Facilitating Group Model-Building Sessions. Group Model-Building in Action: Qualitative System Dynamics. Group Model-Building in Action: Quantitative System Dynamics. Analysis of the Housing Association Model. Summary and Reflections. Appendices. References. Index.

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Book SynopsisAmidst the accelerating change of an increasingly competitive global market, Information, Organization and Management demonstrates how business success in the global market place depends upon products and services rich in variety, value and instantly responsive to customer needs. This strengthening of the buyer''s position has turned customer service into an important decisive factor for a corporation''s market success. Competitive strategies must therefore re-evaluate the business-management goals of flexibility, time, quality and cost.Table of ContentsInformation, Organization and Management: Toward the Boundary-less Organization. Market Dynamics and Competition: The Fundamental Role of Information. Fundamental Information and Communication Models: Insights into Communication and Information Behavior. The Potential of Information Technology in Developing the Market-driven Organization. Dissolution of Hierarchies: Modularization of Corporations. Dissolution of Corporate Boundaries: Symbioses and Networks. New Forms of Market Coordination: Electronic Markets. Overcoming the Boundaries of Location: Telecooperation and Virtual Enterprises. Rediscovering People as Resources: Improving Human Performance in Organizations. References. Index.

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Book SynopsisConstruct and implement a data warehousing plan. In their efforts to collect information that will give them an edge, many companies have amassed vast amounts of data. Often this data becomes unwieldy and difficult to translate into anything useful.Table of ContentsPLANNING THE DATA WAREHOUSE. The Fundamentals of Data Warehousing. Achieving Competitive Advantage: A Review of Typical Applications. Managing the Data Warehouse Project. INTEGRATING THE DATA--THE DATA WAREHOUSE INFRASTRUCTURE. The Data Warehouse Architecture. Data Warehouse Technology. Metadata Management. Data Quality. EXPLOITING THE DATA--THE DATA WAREHOUSE APPLICATIONS. Data Access and Exploitation. Data Mining. LOOKING TO THE FUTURE--NEXT GENERATION DATA WAREHOUSE. Future Directions in the First Generation of Data Warehousing. The Second Generation of Data Warehousing--Reintegration with the Operational Systems. Appendices. Index.

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Book SynopsisThis book provides research on the human element in forecasting. It focuses on how we can improve our ability to accurately forecast.Table of ContentsJudgment: Its Role and Value for Strategy (S. Makridakis & A. Gaba). Scenario Planning: Scaffolding Disorganized Ideas about the Future (K. van der Heijden). Judgmental Forecasting and the Use of Available Information (M. O'Connor & M. Lawrence). Enhancing Judgmental Sales Forecasting: The Role of Laboratory Research (P. Goodwin). Heuristics and Biases in Judgmental Forecasting (F. Bolger & N. Harvey). Financial Forecasting with Judgment (D. Önkal-Atay). Reasoning with Category Knowledge in Probability Forecasting: Typicality and Perceived Variability Effects (G. Browne & S. Curley). The Use of Structured Groups to Improve Judgmental Forecasting (G. Rowe). How Bad Is Human Judgment? (P. Ayton). Integration of Statistical Methods and Judgment for Time Series Forecasting: Principles from Empirical Research (J. Armstrong & F. Collopy). Index.

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Book SynopsisThis book examines historical evidence for the success and failure of strategic decisions over the last thirty years, and considers why there are so many strategic moves which are subsequently reversed, and indeed why the failure rate of many strategic moves is high.Table of ContentsStrategic Management: Past Experiences and Future Directions (D. Hussey). Deregulation and the Pied Piper Approach to Diversification (E. Boyle). Competitive Strategies through Sun Tze's Art of Warfare (S. Ho). A Model of Strategy Decision Making (G. Greenley). The Emphasis on Value Based Strategic Management in UK Companies (S. Handler). The Paradox of Competitive Advantage (F. Winfrey, et al.). The Noble Art and Practice of Industry Analysis (P. Jenster & P. Barklin). Strategic Analysis for an Information Business--A Case Study (S. Crawshaw). The Company as a Cognitive System of Core Competences and Strategic Business Units (H. Hinterhuber, et al.). Management Efficiency Improvement Strategy and its Applications (S. Yahagi). Strategic Guidelines for Outsourcing Decisions (D. Jennings). Strategic Alliances in the Airline Industry (W. Hall & D. Eppink). Managerial Preferences in International Merger and Acquisition Partners (S. Cartwright, et al.). Glossary of Techniques for Strategic Analysis (D. Hussey). Addresses of Contributors. Index.

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Book SynopsisAn indispensable source for anyone who needs to implement business decisions on time and within budget. In todaya s ever--fluctuating world, ita s not enough to recognize that you and the way you do business need to change. You must know how to make changes quickly, effectively and economically or you are bound to fail.Table of ContentsTHE SPEED OF CHANGE. Resilience and the Speed of Change. The Beast. THE CHANGE IMPERATIVE. Welcome to Day Twenty-Nine. Future Shock Is Here. LESSONS BURIED IN THE MYSTERY. The Nature of Change. The Process of Change. The Roles of Change. Resistance to Change. Committing to Change. Culture and Change. ONE PLUS ONE IS GREATER THAN TWO. Prerequisites to Synergy. The Synergistic Process. THE NATURE OF RESILIENCE. Unseen Mechanisms. Responding to the Crisis of Change. Enhancing Resilience. OPPORTUNITIES AND RESPONSIBILITIES. The Ethical Ploy. Epilogue. Index.

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Book SynopsisVirtually every organisation today realises the need to change in order to succeed. Success can only come through good management which, itself, needs to be driven by leaders.Table of ContentsFirst Things First. Scanning the External Environment. The Employee Stakeholder: An Approach to Measurement. Leadership: The Dreamers of the Day. Vision...is having the Image of the Cathedral as we Carve the Granite. Culture...the Way We Do Things Around Here. Management Practices...The Fulcrum for Change. The Driving Alliance at Work. Appendices. Bibliography. Indexes.

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Book SynopsisProvides a much-needed study of the ins and outs of negotiation.

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Book SynopsisAn ambitious new work by a well-respected sociologist, Information and Organizations provides a bold perspective of the dynamics of organizations. Stinchcombe contends that the information problem and the concept of uncertainty provide the key to understanding how organizations function. In a delightful mix of large theoretical insights and vivid anecdotal material, Stinchcombe explores the ins and outs of organizations from both a macro and micro perspective. He reinterprets the work of the renowned scholars of business, Alfred Chandler, James March and Oliver Williamson, and looks in depth at corporations like DuPont and General Motors. Along the way, Stinchcombe explores subjects as varied as class consciousness, innovation, contracts and university administration. All of these analyses are distinguished by incisive thinking and creative new approaches to issues that have long confronted business people and those interested in organizational theory. A tour de force, Information and Table of ContentsAcknowledgments xi 1. INFORMATION, UNCERTAINTY, STRUCTURE, AND FUNCTION IN ORGANIZATIONAL SOCIOLOGY Rationality Uncertainty Uncertainty About What? Information Structure and Function The Plan of the Book 2. INDIVIDUALS' SKILLS AS INFORMATION PROCESSING:CHARLES F. SABEL AND THE DIVISION OF LABOR Introduction Relations Between Routines and Skills Two Relations Between Routines and Human Decisions Complexity of the Routine Artisans at the Beginning of the Industrial Revolution The Division of Skill Between Workers and Professionals Three Organizations for Learning Routines and Decision Skills Earnings Curves for Craftsmen, Professionals, and Managers Jurisdictions of Occupations The Determinants of the Division of Labor Between Engineers and Skilled Workers Manufacturing Artisans in the Early Industrial Revolution Economic and Technical Threats to Artisan Organization Authority Reorganization and Artisan Skill The Ideology of Mass Production Management Scientific Management Authority in Practice Conflict over the New Authority System "Fordism" The Impact of Certainty and Uncertainty on Fordism Sources of Uncertainty in the Market Conclusion 3. MANUFACTURING INFORMATION SYSTEMS:SOURCES OF TECHNICAL UNCERTAINTY AND THE INFORMATION FOR TECHNICAL DECISIONS 73 Introduction People Driving versus Information Systems in Management Some Data on Manufacturing Information Systems Operating Characteristics of Information Systems Types of Operating Information Systems Summary of Dimensions That Differentiate Operating Information Systems Conclusion 4. MARKET UNCERTAINTY AND DIVISIONALIZATION:ALFRED D. CHANDLER'S STRATEGY AND STRUCTURE Introduction The Concepts of Centralization and Decentralization A Definition of Methodological Individualism Individuals in Du Pont: Organizing Information Flows Individuals in Du Pont: Organizational Theory Individuals in Du Pont: Responsibility for Inventing and Adopting a Remedy Individuals in Du Pont and HUD: How Decentralization Works Is It Still Sociology? The Causes of Divisionalization General Motors Creates a Multidivisional Structure by Centralizing The Centralization Revolution at General Motors The Theoretical Problem of Sears Regional Information in Merchant Wholesaling and Sears Commodity Line Rationality versus Store Inventory Rationality The General Problem of Wholesaling Organizational Problems of the Service Sector What Is Chandler's Independent Variable? Conclusion 5. TURNING INVENTIONS INTO INNOVATIONS: SCHUMPETER'S ORGANIZATIONAL SOCIOLOGY MODERNIZED Introduction Innovation, the Learning Curve of Cost Reduction, and Monopoly Cases in Which the Follower and Innovator Have Learning Curves of Different Shape Innovation, the Marketing Network, and Monopoly The Theory or Doctrine of an Innovation A "Zero Resources Innovation" Described in Detail The Multidivisional Structure of Chandler as an Innovation Social Predictors of Success in Introducing Innovations Technological Utopianism Investment Approval Cost Reduction and Manufacturing Improvements Markets and Innovation Success The Division of Benefits Examples of Incentives for Innovation Divisionalization and Innovation Conclusion 6. ORGANIZING INFORMATION OUTSIDE THE FIRM:CONTRACTS AS HIERARCHICAL DOCUMENTS Introduction An Extended Definition of Hierarchy Prediction of Performance Requirements and Performance Measurement Elements of Hierarchy in Contract Contents Theoretical Conclusion Notes 7. SEGMENTATION OF THE LABOR MARKET AND INFORMATION ON THE SKILL OF WORKERS The Fundamental Uncertainty of the Labor Contract Institutional Substitutes for Measurement of Productivity Types of Information About Work Performance A General Theory of Certification The Great Segmenting Factor Is Who Holds the Job Now Segmentation by Internal Labor Markets: Promotions Go to Those Now Employed by Big Firms and Government Worker-Controlled Recruitment in Professional and Craft Occupations Family Recruitment in Small Firm Sectors Union Membership as a Certificate of Productivity The Secondary Labor Market Conclusion 8. CLASS CONSCIOUSNESS AND ORGANIZATIONAL SOCIOLOGY: E. P. THOMPSON APPLIED TO CONTEMPORARY CLASS CONSCIOUSNESS Introduction Unity in Diversity: Why Are Societies with Factories So Much Alike? E. P. Thompson's Conception of Working-Class Consciousness Cross-national Variation in Class Consciousness Class Consciousness in Soviet Societies Class Consciousness in Corporatist Capitalism The Culture in Which Class Consciousness Grew The Cultural Perception of Exploitation,Oppression, and the Wage Bargain Constitutionalism in Modern Organizations Debureaucratization, or Individualizing the Labor Contract Low Unionization of the Modern Service Sector:Theory Service-Sector Class Consciousness: Demography Service-Sector Class Consciousness: Selling Status Symbols Service-Sector Class Consciousness: The Small Firm Effect Conclusion 9. UNIVERSITY ADMINISTRATION OF RESEARCH SPACE AND TEACHING LOADS: MANAGERS WHO DO NOT KNOW WHAT THEIR WORKERS ARE DOING Types of Information About Work Performance A General Theory of Certification The Great Segmenting Factor Is Who Holds the Job Now Segmentation by Internal Labor Markets:Promotions Go to Those Now Employed by Big Firms and Government Worker-Controlled Recruitment in Professional and Craft Occupations Family Recruitment in Small Firm Sectors Union Membership as a Certificate of Productivity The Secondary Labor Market Conclusion 8. CLASS CONSCIOUSNESS AND ORGANIZATIONAL SOCIOLOGY: E. P. THOMPSON APPLIED TO CONTEMPORARY CLASS CONSCIOUSNESS Introduction Unity in Diversity: Why Are Societies with Factories So Much Alike? E. P. Thompson's Conception of Working-Class Consciousness Cross-national Variation in Class Consciousness Class Consciousness in Soviet Societies Class Consciousness in Corporatist Capitalism The Culture in Which Class Consciousness Grew The Cultural Perception of Exploitation,Oppression, and the Wage Bargain Constitutionalism in Modern Organizations Debureaucratization, or Individualizing the Labor Contract Low Unionization of the Modern Service Sector:Theory Service-Sector Class Consciousness: Demography Service-Sector Class Consciousness: Selling Status Symbols Service-Sector Class Consciousness: The Small Firm Effect Conclusion 9. UNIVERSITY ADMINISTRATION OF RESEARCH SPACE AND TEACHING LOADS: MANAGERS WHO DO NOT KNOW WHAT THEIR WORKERS ARE DOING

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Book SynopsisAn introduction to quantitative methods delivering the knowledge and skills required to process, utilize and manipulate numerical information of the type and style found in the business environment. The practical application of quantitative methods is emphasized. An additional unit on basic mathematics is included which is suitable for students enrolling on business studies programs without formal mathematical qualifications. Contents include: foundation mathematics and business mathematics; data presentation; linear programming; regression and correlation analysis; probability and probability distribution.Table of Contents1. Basic Mathematics. 2. Business Mathematics. 3. Data Presentation. 4. Linear Programming. 5. Regression and Correlation. 6. Probability. 7. Probability Distributions. 8. Sampling. 9. Index Numbers and Time Series.

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Book SynopsisA comprehensive introduction to management accounting, enabling students to develop an understanding of the importance of accounting as a management tool, for example in: Using and interpreting accounting to allow rational decisions to be made. Making and implementing plans based on accounting decisions. Exercising financial control over organizations. Contents include: costs and decision making; investment appraisal; cost-volume-profit analysis, full costing; budgets and budgetary control; standard costs and variance analysis; evaluation of divisional performance.Table of Contents1. An Introduction to Management Accounting. 2. Relevant Costs for Decision Making. 3. Investment Decisions. 4. Further Aspects of Investment Decision Making. 5. Cost-Volume-Profit Analysis. 6. Full (Total) Costing. 7. Budgets and Budgetary Control. 8. Control Through Variances. 9. Divisional Performance Measurement and Control.

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Book Synopsis* Acts as a sequel to Marcha s earlier Decisions and Orgainzations. * Brings together the writings of one of the leading figures in the field of decision making and organizational theory. * Reflects the shift in Marcha s thinking and organizational theory generally. .Trade Review"The March collection is superb." Hans Pennings, Wharton School of Business, University of Pennsylvania.Table of Contents1. Introduction 1Part I Decisions In Organizations 11 2. Understanding How Decisions Happen in Organizations 13 3. Continuity and Change in Theories of Organizational Action 39 4. Institutional Perspectives on Political Institutions (with Johan P. Olsen) 52Part II Learning In Organizations 73 5. Organizational Learning (with Barbara Levitt) 75 6. The Evolution of Evolution 100 7. Exploration and Exploitation in Organizational Learning 114 8. Learning from Samples of One or Fewer (with Lee S. Sproull, and Michal Tamuz) 137 9. Adaptive Co-ordination of a Learning Team (with Pertti H. Lounamma) 156 10. The Future, Disposable Organizations, and the Rigidities of Imagination 179 11. The Myopia of Learning (with Daniel A. Levinthal) 193 Part III Risk Taking In Organizations 223 12. Wild Ideas: The Catechism of Heresy 225 13. Variable Risk Preferences and Adaptive Aspirations 229 14. Variable Risk Preferences and the Focus of Attention (with Zur Shapira) 251 15. Learning to Be Risk Averse 279Part IV The Giving and Taking of Advice 305 16. Model Bias in Social Action 307 17. Organizational Consultants and Organizational Research 325 18. Organizational Performance as a Dependent Variable (with Robert I. Sutton) 338 19. Science, Politics, and Mrs. Gruenberg 355 20. Education and the Pursuit of Optimism 363 21. A Scholar's Quest 376Index 380

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Book Synopsis* The definitive up--to--date guide to the field. * Original contributions by the leading scholars of Organizational Learning and Knowledge Management world--wide. * Editors internationally recognised authorities. * Handbook shows links between a knowledgea and a learninga literatures.Trade Review"The handbook shows perfectly what has been achieved in the field of KM and OL, but also clearly demonstrates the gaps in our research and the need to start a dialogue, to fight and unite, to build bridges between old and emerging management disciplines." Organization StudiesTable of ContentsList of Figures. List of Tables. List of Contributors. Foreword: Karl E. Weick. Part I: Disciplinary Perspectives:. Introduction: Watersheds Of Organizational Learning And Knowledge Management: Mark Easterby-Smith (Lancaster University)and Marjorie A. Lyles (Indiana University). 1. Psychological Perspectives Underlying Theories of Organizational Learning: Robert Defillippi (Suffolk University) and Suzyn Ornstein (Suffolk University). 2. Social Learning Theory: Learning As Participation In Social Processes: Bente Elkjaer (Danish University of Education). 3. The Role of Information and Communication Technologies In Knowledge Management Initiatives: Niall Hayes (Lancaster University) and Geoff Walsham (University of Cambridge). 4. Knowledge Management: What Can Organizational Economics Contribute? Nicolai J. Foss (Copenhagen Business School) and Volker Mahnke (Copenhagen Business School). 5. Knowledge Management: The Information Technology Dimension: Maryam Alavi (Emory University) and Amrit Tiwana (Emory University). Part II: Learning And Knowledge In Organizations:. 6. Organizational Learning And Knowledge Management: Toward An Integrative Framework: Dusya Vera (University of Western Ontario) and Mary Crossan (University of Western Ontario). 7. Organizations As Learning Portfolios: Anthony J. Dibella (East Greenwich and Worcester Polytechnic Institute). 8. Framework For The Development of Communities Of Practice In A Corporate Environment: Josh Plaskoff (Eli Lilly and Company). 9. Understanding Outcomes Of Organizational Learning Interventions: Amy C. Edmondson (Harvard Business School) and Anita Williams Woolley (Harvard Business School). 10. The Impact Of Intercultural Communication On Global Organizational Learning: Sully Taylor (Portland State University), Joyce S. Osland (Portland State University) and Dr Robert B. Pamplin. 11. Knowledge Seeking FDI And Learning Across Borders: Shige Makino (Chinese University of Hong Kong) and Andrew C. Inkpen (American Graduate School of International Management). 12. Beyond Alliances: Towards A Meta-Theory Of Collaborative Learning: Jane E. Salk (University of Texas at Dallas)and Bernard L. Simonin (Tufts University). 13. Knowledge Management And Competitive Advantage: Bala Chakravarthy (IMD), Sue McEvily (University of Pittsburgh), Yves Doz (INSEAD) and Devaki Rau (Northern Illinois University). 14. Absorptive Capacity: Antecedents, Models, And Outcomes: Frans A. J. Van Den Bosch (Erasmus University Rotterdam), Raymond Van Wijk (Erasmus University Rotterdam), and Henk W. Volberda (Erasmus University Rotterdam),. 15. Narrative Knowledge In Action: Adaptive Abduction As A Mechanism For Knowledge Creation And Exchange In Organizations: Caroline A. Bartel (New York University) and Raghu Garud (New York University). Part III: Organizational Knowledge And KM:. 16. Dominant Logic, Knowledge Creation, And Managerial Choice: Richard A. Bettis (University of North Carolina at Chapel Hill) and Sze-Sze Wong (Duke University). 17. Innovation And Knowledge Management: Scanning, Sourcing, And Integration: Paul Almeida (Georgetown University), Anaupama Phene (University of Utah), David Eccles & Rob Grant (Georgetown University). 18. Knowledge Sharing And The Communal Resource: Georg Von Krogh (University of St Gallen). 19. Organizational Forgetting: Pablo Martin De Holan (University of Alberta) and Faculté Saint-Jean. 20. Do We Really Understand Tacit Knowledge? Haridimos Tsoukas. 21. Knowledge And Networks: Raymond Van Wijk (Erasmus University Rotterdam), Frans A. J. Van Den Bosch (Erasmus University Rotterdam), Henk W. Volberda (Erasmus University Rotterdam). 22. The Political Economy Of Knowledge Markets In Organizations: Rob Cross (University of Virginia) and Laurence Prusak (IBM Institute for Knowledge-based Organizations). 23. Barriers To Creating Knowledge: Mikelle A. Calhoun (New York University) and William H. Starbuck (New York University). Part IV: Problematizing OL And Knowledge:. 24. Discourses of Knowledge Management And The Learning Organization: Their Production And Consumption: Harry Scarbrough (University of Warwick). 25. Stickiness: Conceptualizing, Measuring, And Predicting Difficulties To Transfer Knowledge Within Organizations: Gabriel Szulanski (University of Pennsylvania) & Rossella Cappetta (Bocconi University). 26. Social Identity And Organizational Learning: John Child (University of Birmingham) and Suzana Rodrigues (University of Birmingham). 27. Emotionalizing Organizational Learning: Stephen Fineman (University of Bath). 28. Learning From Organizational Experience: John S. Carroll (MIT Sloan School of Management), Jenny W. Rudolph (Boston College) and Sachi Hatakenaka (MIT Sloan School of Management). 29. Deliberate Learning And The Evolution Of Dynamic Capabilities: Maurizio Zollo (INSEAD)and Sidney G. Winter (University of Pennsylvania). 30. Semantic Learning As Change Enabler: Relating Organizational Identity & Organizational Learning: Kevin G. Corley (Penn State University) & Dennis A. Gioia (Penn State University). 31. Organizational Learning And Knowledge Management: Agendas For Future Research: Marjorie A. Lyles (Indiana University) and Mark Easterby-Smith (Lancaster University). Index

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Book SynopsisThis book advances a design--based approach for the investigation and creation of sustainable organizations. The learning--by--design framework is utilized to examine learning in six successful companies in different industries and national settings and provides a roadmap for improving systematic learning in organizations.Trade Review“It provides a much-needed bridge from an organizational learning literature that is often abstract and idiosyncratic to concrete organizational learning mechanisms that can make the space for adaptive learning to occur for individuals, teams and the organization. Shani and Docherty have created a book that is valuable for both scholars and practitioners in management and organizational learning.” David A. Kolb, Case Western Reserve University, Cleveland, Ohio, USA “Collective design is certainly one of the main issues for the advancement of management and social sciences, and by adopting a learning perspective Shani and Docherty offer fresh, perfectly grounded, and valuable views to the field, both in theory and practice." Armand Hatchuel, Ecole des Mines de Paris, Paris, France “These authors have been pioneers in the area of organizational learning. The insights and experience on which they draw, backed by recent case examples, are a major strength of the book and make it a valuable resource for practitioners in industry and for students of organizational learning and change.” Bengt Stymne, Stockholm School of Economics, Stockholm, Sweden "This book belongs to the management literature, but as so few libraries have become learning organisations that it would be good if more managers read books like this one" Electronic LibraryTable of Contents1. The Critical Need for Learning by Design. 2. Competitive Strategy, Sustainablility and Learning. 3. Individual Competencies, Learning and Performance. 4. Designing Business-focused Teams. 5. Transformation and Learning. 6. Development Processes, Learning and Competitiveness. 7. Knowledge Management Processes and Learning. 8. Learning in Multi Stakeholder Network. 9. Designing Sustainable Learning Organization. 10. Learning by Design: Change and Future. Index

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Book SynopsisExplains the foundations of Bayesian decision theory and shows why Savage restricted the theory's application to small worlds. This title discusses the various philosophical attitudes related to the nature of probability and offers resolutions to paradoxes believed to hinder further progress.Trade Review"This short, ambitious book is intended to appeal to the presumed curiosity of economists, statisticians, and philosophers as to what constitutes rationality in scientific induction. Binmore, a game theorist aware of the daunting complexity of his subject matter for nonspecialists, has gone to great pains in making his work accessible, even offering marginal symbols to indicate the substantial portions of the text best avoided by readers lacking the author's appetite for mathematical data."--Choice "Rational Decisions contains a wealth of stimulating arguments and thought-provoking claims. It would be an excellent text for an advanced seminar in decision theory, particularly for students with a solid technical background. And no economist, philosopher or political scientist seriously interested in theories of rational decision-making can afford to ignore Binmore's controversial and iconoclastic claims."--Jose Luis Bermudez, Economics and Philosophy "[T]he book constitutes an interesting contribution to this area of research rewarding for philosophers, economists, psychologists, and mathematicians alike."--Reinhard Slick, Mathematical Reviews "It is an original and stimulating book. I enjoyed it very much, and expect that you may too."--Brian Skyrms, British Journal for Philosophy of ScienceTable of ContentsPreface ix Chapter 1: Revealed Preference 1 1.1 Rationality? 1 1.2 Modeling a Decision Problem 2 1.3 Reason Is the Slave of the Passions 3 1.4 Lessons from Aesop 5 1.5 Revealed Preference 7 1.6 Rationality and Evolution 12 1.7 Utility 14 1.8 Challenging Transitivity 17 1.9 Causal Utility Fallacy 19 1.10 Positive and Normative 22 Chapter 2: Game Theory 25 2.1 Introduction 25 2.2 What Is a Game? 25 2.3 Paradox of Rationality? 26 2.4 Newcomb's Problem 30 2.5 Extensive Form of a Game 31 Chapter 3: Risk 35 3.1 Risk and Uncertainty 35 3.2 Von Neumann and Morgenstern 36 3.3 The St Petersburg Paradox 37 3.4 Expected Utility Theory 39 3.5 Paradoxes from A to Z 43 3.6 Utility Scales 46 3.7 Attitudes to Risk 50 3.8 Unbounded Utility? 55 3.9 Positive Applications? 58 Chapter 4: Utilitarianism 60 4.1 Revealed Preference in Social Choice 60 4.2 Traditional Approaches to Utilitarianism 63 4.3 Intensity of Preference 66 4.4 Interpersonal Comparison of Utility 67 Chapter 5: Classical Probability 75 5.1 Origins 75 5.2 Measurable Sets 75 5.3 Kolmogorov's Axioms 79 5.4 Probability on the Natural Numbers 82 5.5 Conditional Probability 83 5.6 Upper and Lower Probabilities 88 Chapter 6: Frequency 94 6.1 Interpreting Classical Probability 94 6.2 Randomizing Devices 96 6.3 Richard von Mises 100 6.4 Refining von Mises' Theory 104 6.5 Totally Muddling Boxes 113 Chapter 7: Bayesian Decision Theory 116 7.1 Subjective Probability 116 7.2 Savage's Theory 117 7.3 Dutch Books 123 7.4 Bayesian Updating 126 7.5 Constructing Priors 129 7.6 Bayesian Reasoning in Games 134 Chapter 8: Epistemology 137 8.1 Knowledge 137 8.2 Bayesian Epistemology 137 8.3 Information Sets 139 8.4 Knowledge in a Large World 145 8.5 Revealed Knowledge? 149 Chapter 9: Large Worlds 154 9.1 Complete Ignorance 154 9.2 Extending Bayesian Decision Theory 163 9.3 Muddled Strategies in Game Theory 169 9.4 Conclusion 174 Chapter 10: Mathematical Notes 175 10.1 Compatible Preferences 175 10.2 Hausdorff's Paradox of the Sphere 177 10.3 Conditioning on Zero-Probability Events 177 10.4 Applying the Hahn-Banach Theorem 179 10.5 Muddling Boxes 180 10.6 Solving a Functional Equation 181 10.7 Additivity 182 10.8 Muddled Equilibria in Game Theory 182 References 189 Index 197

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Book SynopsisTrade Review"Focusing mostly on integrating exposure to great realist novels (such as Anna Karenina, Middlemarch, and War and Peace) into economics education, the authors use three case studies on, respectively, higher education, the family, and the economic development of nations to make an insightful and compelling argument. Morson and Schapiro succeed in finding new ways of thinking about big issues as well as new ways to read classic novels... The case studies read like popular nonfiction. There's immense joy to be found throughout this work on thinking with creativity and passion."--Publishers WeeklyTable of ContentsAcknowledgments ix 1 Spotting the Spoof: The Value of Telling Stories Out of (and in) School 1 Twin Crises 4 The Dehumanities 5 Humanomics 8 A Return to the "Real" Adam Smith 18 The Value of Telling Stories Out of (and in) School 20 Two Stories 23 2 A Slow Walk to Judgment: Hedgehogs and Foxes, Wisdom and Prediction 46 3 The Power and Limits of the Economic Approach: Case Study 1-How to Improve American Higher Education 64 Enrollment Management 65 Who Teaches Undergraduates? 80 Data Reporting 87 The Allocation of State Operating Subsidies 98 The Federal Interest in Enrollment, Completion, and Matching 105 4 Love Is in the Air ... or at Least in the Error Term: Case Study 2-What Economists Can and Cannot Teach Us about the Family 119 Do Preferences Change? 126 The Economics of the Intimate 129 Children 138 Crime and Punishment 144 Three Responses to the Economic Model 147 Irrationality of the Second Order 150 Selling Kidneys 153 A Foxy Approach to Economic Demography 162 5 The Ultimate Question: Case Study 3-Why Do Some Countries Develop Faster Than Others? Economics, Culture, and Institutions 167 The Hedgehog of Geography 169 Foxy and Other Economists 180 The Harm That Hedgehogs Do 195 6 The Best of the Humanities 200 Justifying the Humanities 206 The Humanities as Often Taught 209 Why Not Just Read SparkNotes? 212 Overcoming the Human 213 Character and Nanocharacter 216 Ethics and Stories 218 Experience from Within 222 Globalization 232 World Literature and the Curriculum 234 Writing and Argument 238 Conclusion 241 7 De-hedgehogizing Adam Smith: The Economics That Might Be 243 Sympathy and Empathy 248 Theory as Anti-Theory 249 Smith the Novelist 252 Negative Pluralism 254 Rethinking the Invisible Hand 255 What Humanists Can Learn from Economists 259 Humanism and Behavioral Economics 261 8 Humanomics: A Dialogue of Disciplines 288 Index 295

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Book SynopsisArtificial intelligence should be changing society, not reinforcing capitalist notions of workTrade Review'Brings together a range of unmissable views across the contemporary spectrum of technology-driven labour relations' -- Dr. Ivan Williams Jimenez, Policy and Development Manager at the Institution of Occupational Safety and Health, UK'A path-breaking book offering unparalleled insights. Moore and Woodcock re-affirm their position as leaders in this field' -- Premilla D'Cruz, Professor of Organizational Behaviour Area, Indian Institute of Management Ahmedabad (IIMA)Table of ContentsFigures Series Preface Acknowledgements Introduction: AI: Making it, Faking it, Breaking it - Phoebe V. Moore and Jamie Woodcock PART I - MAKING IT 1. AI Trainers: Who is the Smart Worker Today? - Phoebe V. Moore 2. Work Now, Profit Later: AI Between Capital, Labour and Regulation - Toni Prug and Paško Bilić 3. Delivering Food on Bikes: Between Machinic Subordination and Autonomy in the Algorithmic Workplace - Benjamin Herr 4. Putting the Habitus to Work: Digital Prosumption, Surveillance and Distinction - Eduard Müller 5. The Power of Prediction: People Analytics at Work - Uwe Vormbusch and Peter Kels PART II - FAKING IT 6. Manufacturing Consent in the Gig Economy - Luca Perrig 7. Automated and Autonomous? Technologies Mediating the Exertion and Perception of Labour Control - Beatriz Casas González 8. Can Robots Produce Customer Confidence? Contradictions Among Automation, New Mechanisms of Control and Resistances in the Banking Labour Process - Giorgio Boccardo PART III - BREAKING IT 9. It Gets Better With Age: AI and the Labour Process in Old and New Gig-Economy Firms - Adam Badger 10. Self-Tracking and Sousveillance at Work: Insights from Human-Computer Interaction and Social Science - Marta E. Cecchinato, Sandy J. J. Gould and Frederick Harry Pitts 11. Breaking Digital Atomisation: Resistant Cultures of Solidarity in Platform-Based Courier Work - Heiner Heiland and Simon Schaupp 12. Resisting the Algorithmic Boss: Guessing, Gaming, Reframing and Contesting Rules in App-Based Management - Joanna Bronowicka and Mirela Ivanova Notes on Contributors Index

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Book SynopsisPaul Sloane is an experienced speaker, course leader and facilitator as well as a leading author of lateral thinking puzzles with some 17 books published. He is a recognised authority on innovation and creative speaking and he speaks and gives workshops on these subjects to leading corporations around the world. He has written The Leader's Guide to Lateral Thinking Skills and The Innovative Leader, also published by Kogan Page.Trade Review"This marvellous new book reveals to how jump out of your well-worn mental habits, beliefs and assumptions and into some powerful, profitable new ways of thinking. If you want to make an impact in your world, then read How to be a Brilliant Thinker!" * Chuck Frey, Founder and Publisher, InnovationTools.com *Table of Contents Chapter - 01: The need for different thinking; Chapter - 02: Consider the opposite; Chapter - 03: Confront assumptions; Chapter - 04: Analyse problems; Chapter - 05: Ask questions; Chapter - 06: Think in combinations; Chapter - 07: Parallel thinking; Chapter - 08: Think creatively; Chapter - 09: Think laterally; Chapter - 10: Think what no one else thinks; Chapter - 11: Evaluate ideas; Chapter - 12: Make difficult decisions; Chapter - 13: Develop your verbal thinking; Chapter - 14: Think mathematically; Chapter - 15: Get to grips with probability; Chapter - 16: Think visually; Chapter - 17: Develop your emotional intelligence; Chapter - 18: Be a brilliant conversationalist; Chapter - 19: Win arguments; Chapter - 20: Ponder; Chapter - 21: Maximize your memory; Chapter - 22: Experiment, fail and learn; Chapter - 23: Tell stories; Chapter - 24: Think humorously; Chapter - 25: Think positively; Chapter - 26: Set goals; Chapter - 27: Prioritize and focus; Chapter - 28: Turn thinking into action; Chapter - 29: Common thinking errors; Chapter - 30: Boost your brain; Chapter - 31: Games for brilliant thinkers; Chapter - 32: Summary – a checklist for the brilliant thinker

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Book SynopsisClive Marsh has worked for Capgemini, Ernst & Young, IBM UK, Shell and several niche consultancies, and is a member of the Chartered Banker Institute's academic team. He has a Masters Degree in Strategic Financial Management, is a Chartered Banker and Fellow of the Chartered Banker Institute, an Associate Chartered Accountant of the New Zealand Institute of Chartered Accountants and a Fellow of the Chartered Management Institute. A regular contributor to financial and business journals, Clive is the author of a number of books, including Financial Management for Non-Financial Managers (also published by Kogan Page).Trade Review"An excellent book that explains how to visualise and create pertinent and accurate business models within the current economic context. Clive has drawn a straight line from visual thinking and defining the critical questions through to creating useful and relevant financial business models." * Nikki Cole, Council Member, Brunel University *"A highly valuable, totally practical and fully integrated toolkit that makes essential reading for anyone looking to negotiate the turbulent economic climate... If you want to be guided in using business models to underpin practical strategies to develop all aspects of your business then you need look no further than this great book!" * Phil Ryan, MD, The Management Centre, Bangor Business School *"Clive Marsh's book demonstrates that he is a practitioner of the art of Financial Management not just an academic. It is a splendid introduction to the subject with lots of good examples which are easy to grasp and apply. It should improve the strategic financial understanding of managers of companies large and small. It deserves to be widely read." * Angus Cater, Chairman, SFS Group Limited *Table of Contents Chapter - 00: Introduction; Chapter - 01: Stages in the development of a business and financial model; Chapter - 02: Developing the research question and output definition; Chapter - 03: Visual thinking to develop fundamental questions; Chapter - 04: Input definition; Chapter - 05: Scenario identification; Chapter - 06: Building a simple model; Chapter - 07: Using charts; Chapter - 08: Modelling budgets; Chapter - 09: Sales budgets; Chapter - 10: Production – material, labour and direct overhead budgets; Chapter - 11: Fixed assets and depreciation; Chapter - 12: Managing and modelling cash flow and working capital; Chapter - 13: Investment appraisal models; Chapter - 14: The cost of capital; Chapter - 15: Business valuation models; Chapter - 16: Performance indicators; Chapter - 17: Modelling the company balance sheet, P&L and ratio analysis; Chapter - 18: Financial functions; Chapter - 19: Building a business model; Chapter - 20: Modelling projects; Chapter - 21: Integration, complexity and business models; Chapter - 22: Business models for the green economy

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Book SynopsisPaul Hopkin is Technical Director at the Association of Insurance and Risk Managers (AIRMIC) and a Fellow of the Institute of Risk Management. He was previously Director of Risk Management for The Rank Group Plc and prior to that Head of Risk Management at the BBC. He is regular speaker at conferences across the world on a range of risk management topics and author of the classic IRM textbook, Fundamentals of Risk Management, also published by Kogan Page.Trade Review"Paul has brought together some very useful and practical risk management guidance, for business leaders and managers of small and medium sized companies, to enhance and protect business performance over the long term. It is a treasure trove of ideas and concepts." * John Ludlow, SVP Global Risk Management IHG *"Paul Hopkin brings decades of experience in the application of the key principles and the practice of risk management... All managers with operational responsibilities, not just risk managers, will find a great deal of useful material in this book. Other senior managers, even Board members, will also find much to learn in the chapters covering risk communication and risk governance." * Alan Punter, Visiting Professor in Risk Financing, Cass Business School *"Well structured, with checklists, text boxes, diagrams, further reading references and lots of examples, this book is a joy to read, either cover-to-cover or dipping into it as an introduction to the subject." * Steve Fowler, Chief Executive of the Institute of Risk Management *"This practical guide to risk management will serve as a useful map for any risk manager seeking to enhance business and performance through the various pillars of the practice. In this, Paul Hopkin's second title published by Kogan Page (following Fundamentals of Risk Management), his jargon-free account of the nature of risk and of its relevance to the business model takes the reader on a comprehensive journey from risk assessment, through to response, communication and governance; advocating a proactive and appropriate treatment of risk throughout." * Deborah Ritchie, Continuity, Insurance & Risk Magazine *Table of Contents Chapter - 00: Introduction; Section - ONE: Risk agenda; Chapter - 01: Relevance of the risk agenda; Chapter - 02: Drivers of risk management; Chapter - 03: Features of risk management; Chapter - 04: Planning the risk agenda; Section - TWO: Risk assessment; Chapter - 05: Relevance of risk assessment; Chapter - 06: Analysing potential impact; Chapter - 07: Evaluating anticipated consequences; Chapter - 08: Utilizing risk assessments; Section - THREE: Risk response; Chapter - 09: Relevance of risk response; Chapter - 10: Designing risk controls; Chapter - 11: Disaster recovery and business continuity; Chapter - 12: efficiency and effectiveness of controls; Section - FOUR: Risk communication; Chapter - 13: Relevance of risk communication; Chapter - 14: Risk architecture and protocols; Chapter - 15: Risk action plan; Chapter - 16: Risk reporting; Section - FIVE: Risk governance; Chapter - 17: Relevance of risk governance; Chapter - 18: Providing risk assurance; Chapter - 19: governance of emerging risks; Chapter - 20: Risk and stakeholder expectations

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