Business mathematics and systems Books

Book SynopsisWe live in the age of Computer Business Systems (CBSs),the highly complex, computer-intensive management programs on which large organizations increasingly rely. In Mindless , Simon Head argues that these systems have come to trump human expertise, dictating the goals and strategies of a wide array of businesses, and de-skilling the jobs of middle class workers in the process. CBSs are especially dysfunctional, Head argues, when they apply their disembodied expertise to transactions between humans, as in health care, education, customer relations, and human resources management. And yet there are industries with more human approaches, as Head illustrates with specific examples, whose lead we must follow and extend to the mainstream American economy. Mindless illustrates the shortcomings of CBS, providing an in-depth and disturbing look at how human dignity is slipping as we become cogs on a white collar assembly line.Trade ReviewNew York Review of Books "[An] arresting new book... Head offers a powerful indictment of contemporary Anglo-American Capitalism... He brilliantly translates ideas remote from the experience of most people into everyday language... [and] deconstructs and demystifies the pseudoscientific, abstract, jargonized language of management studies in order to reveal the dispiriting realities it obscures." Kirkus Reviews, Starred Review "A dark, revealing view of computerized control and monitoring of the workplace... A sobering, important book." Richard Sennett, author of Together: The Rituals, Pleasures and Politics of Cooperation "The regimented society has arrived, and Simon Head is its most probing critic. He not only shows the grip of computerized bureaucracy on people's lives, he also analyzes the economic interests and political processes which drive regimentation. This wide-ranging book is clearly and at times eloquently written. A must-read." Robert Skidelsky, author of Keynes: The Return of the Master "With insight and clarity, Simon Head describes the insidious effects of combining scientific management with IT systems and its propensity to create a world of top-down control, where workers are stripped of skills and satisfaction in their work. His fascinating account ranges from Walmart and Amazon's tightly controlled supply chains to Goldman Sachs's manipulation of sub-prime mortgages. In doing so he shows how the drive to automate human abilities and increase profits has depressed wages and undermined economies." Paul Duguid, co-author of The Social Life of Information "The world abounds in enthusiastic technologists offering their vision of the ideal, democratic future to which technology will deliver us, if only we are willing to follow. Simon Head's penetrating Mindless, with its well-chosen and impressively unpredictable case studies of Computer Business Systems in the workplace, the military, and academia, gives us reasons--and the tools--to question such advice. Importantly, Head shows us that the future is not inevitable. We have choices, and for the good of society we need to make them."

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Book SynopsisYou can get there Where do you want to go? You might already be working in a business setting. You may be looking to expand your skills. Or, you might be setting out on a new career path. Wherever you want to go, Business Math will help you get there. Easy-to-read, practical, and up-to-date, this text not only helps you learn fundamental mathematical concepts needed for business, it also helps you master the core competencies and skills you need to succeed in the classroom and beyond. The book''s brief, modular format and variety of built-in learning resources enable you to learn at your own pace and focus your studies. With this book, you will be able to: * Understand the business uses of percent calculations. * Solve business problems using algebraic equations. * Learn why stores markup and markdown their inventory. * Calculate different types of discounts. * Examine different banking options. * Compare personTrade Review"...the book is particularly effective at showing that several basic aspects of business can be well understood...by using elementary mathematics." (Journal of the Operational Research Society, 58/2007)Table of ContentsPart I: Math Principles 1 Whole Numbers, Decimals, and Negative Numbers 1 2 Fractions 15 3 Calculating Percents 30 4 Using Algebraic Equations to Solve Business Problems 47 Part II: Retailing Applications 5 Markup, Markdown, and Inventory Management 66 6 Discounts 85 Part III: General Business Applications 7 Banking and Insurance 101 8 Taxes 131 9 Calculating Interest 149 10 Loans and Consumer Credit 177 11 Depreciation 193 12 Financial Statements 209 13 Business Statistics 244 Glossary 263 Index 275

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Book SynopsisAn Authoritative Introduction to a Major Subject in Systems Engineering and Management This important volume fills the need for a textbook on the fundamentals of economic systems analysis and assessment, illustrating their vital role in systems engineering and systems management. Providing extensive coverage on key topics, it assumes no prior background in mathematics or economics in order to comprehend the material. The book is comprised of five major parts: Microeconomics: a concise overview that covers production and the theory of the firm; theory of the consumer; market equilibria and market imperfections; and normative or welfare economics, including imperfect competition effects and consumer and producer surplus Program Management Economics: discusses economic valuation of programs and projects, including investment rates of return; cost-benefit and cost-effectiveness analysis; earned value management; cost structures and estimTable of ContentsPREFACE. Chapter 1 Introduction to Economic Systems Analysis and Assessment: Cost, Value, and Competition in Information and Knowledge Intensive Systems, Organizations, and Enterprises. 1.1 Inroduction. 1.2 A Framework for Systems Engineering and Management. 1.3 Theory of the Firm. 1.4 Theory of the Consumer. 1.5 The Interaction of the Theories of the Firms and Consumers: Microeconomic Models of Economic Activity. 1.6 Welfare or Normative Economics. 1.7 Program and Program Management Economics. 1.8 Contemporary Issues Concerning Information and Information Technology Economic. 1.9 Economic Pitfalls in the Engineering of Systems. 1.10 Summary. Chapter 2 Production and the Theory of the Firm. 2.1 Introduction. 2.2 The Production Function. 2.3 Multiproduct Firms and Multiproduct Production Functions. 2.4 Classical Theory of the Firm. 2.5 Imperfect Competition. 2.6 Summary. Chapter 3 The Theory of the Consumer. 3.1 Introduction. 3.2 Economic Utility Theory and Its Axioms. 3.3 Property of Utility Functions. 3.4 The Fundamental Problem of the Consumer. 3.5 Sensitivity and Substitution Effects. 3.6 Summary. Chapter 4 Supply-Demand Equilibria and Microeconomic Systems Analysis and Assessment Models. 4.1 Introduction. 4.2 Basic Supply-Demand Equilibrium for a Single Good. 4.3 General Supply-Demand Equilibrium Conditions. 4.4 Extensions to General Equilibrium to Include Market Interdependencies. 4.5 Microeconomics Models. 4.6 Summary. Chapter 5 Normative or Welfare Economics, Decisions and Games, and Behavioral Economics. 5.1 Introduction. 5.2 Pareto Optimality Under Perfect Competitive Conditions. 5.3 External Effects and Imperfect Competition-Public Goods. 5.4 External Effects and Imperfect Competition-Nonindependent Production and Consumption. 5.5 Welfare Maximization and Social Choice. 5.6 Summary. 5.7 Selected Bibliography. Chapter 6 Cost-Benefit and Cost-Effectiveness Analysis and Assessments. 6.1 Introduction. 6.2 The Time Value of Money. 6.3 Identification of Costs and Benefits. 6.4 The Identification and Quantification of Effectiveness. 6.5 A Guide to Cost-Benefit Analysis. Chapter 7 Cost Assessment. 7.1 Model-Based Parameters for Productivity. 7.2 Early Models for Estimation of Costs, Including Effort and Schedule. 7.3 The Constructive Cost Model. 7.4 Summary. CHAPTER 8 APPROACHES TO INVESTMENT VALUATION. 8.1. Microeconomics. 8.2. The Investment Problem. 8.3. Investment Valuation. 8.4. Summary. CHAPTER 9 REAL OPTIONS FOR INVESTMENT VALUATION. 9.1. Nature of Options. 9.2. Option Pricing Theory. 9.3. Option Calculator. 9.4. Strategic Metrics. 9.5. Investment Decision Making. 9.6. Value-Centered R&D. 9.7. Summary. CHAPTER 10 CONTEMPORARY PERSPECTIVES. 10.1. Introduction. 10.2. Evolutionary Economics. 10.3. Path Dependence and Network Effects. 10.4. Intellectual Capital. 10.5. Value of Information. 10.6. Investing in Humans. 10.7. Summary. INDEX.

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Book SynopsisWritten in partnership with SAP, this is the first IS book that provides the right introductory content and combines it with hands-on practice in the form of a simulated SAP environment. It also offers a unique perspective by discussing both the typical processes in organizations and the role of information systems in supporting these processes.Table of ContentsChapter 1: Organizations, Processes, and Information Systems. Chapter 2: Enterprise Systems. Chapter 3: The Procurement Process. Chapter 4: The Fulfillment Process. Chapter 5: The Production Process. Chapter 6: Integrated Processes.

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Book SynopsisElectronic Health Records: An Audit and Internal Control Guide describes the infrastructure of electronic health records and the impact that the government''s new criteria will have on the private and public marketplace. Understand what to look for in a health care record management system and find tips and helpful guidance for implementation. If you are trying to facilitate an audit of a health record management system, you can apply the example described in the model, which will serve as a timely model and invaluable resource.Table of ContentsPreface. About the Author. Acknowledgments. Introduction. Chapter 1. Market Background. E-Health. How is Electronic Information Created? Information Technology Considerations. How is Health Information Created? Review of Primary HCC Market Players. Patients. Providers. Third Party Vendors. Payers. Review of HCC Secondary Market Players. Major Initiative for E-Health. Audit Implication Overview. Chapter 2. Industry Application. Public Uses. Private Uses. Information Continuum. Market Standards and Initiatives. Agency for Healthcare Research and Quality. Health Level Seven. Certification Commission for Healthcare Information Technology. Department of Defense Records Management Program. Association of Records Managers and Administrators. Audit Implication Overview. Chapter 3. Impact of E-Health on Case Management. Financial Picture. Hospital-Based FCM Application. Background Information and Provider Perspective. Problem: Getting Paid Correctly for Services Provided. Findings. Additional Findings. Summary. Consumer-Based FCM Application. Market Problems: The Industry as It Operates Today. Consumer FCM Model. Healthcare Portfolio Application. Virtual Case Management. VCM Payer Model. VCM Patient Model. VCM Hospital Model. VCM Physician Model. VCM Allied Health Services. VCM Nontraditional Health Services Model. VCM Other Business Services Model. Audit Implication Overview. Chapter 4. Data in an E-Health Environment. Data Library. Data Intelligence. New Data. More New Data. Processed Data. Data Warehouse. Audit Implication Overview. Chapter 5. Algorithms. Background. Understanding Algorithms. Data Elements. Case Study. Algorithm Selection Auditor Implication Overview. Chapter 6. Data-Driven Health Decisions in an E-Health Environment. Knowledge Models. Primary Healthcare Continuum. Secondary Healthcare Continuum. Information Continuum. Third-Party Vendor Knowledge Model. Knowledge Models For White-Collar and Organized Crime. Sample Identity Theft Case. Medical Identity Theft. Medical Identity Theft – Definition. How Medical Identity Theft Occurs. Damages To Primary Victims. Medical Identity Theft From A Consumer Perspective. When The Consumer Is Not Aware. When The Consumer Is Involved. When An Individual Wants Products Or Services. Damages To Secondary Victims. Medical Identity Theft From An Entity’s Perspective. Auditor Considerations. Sample Fraud Case. Sample Pharmaceutical Fraud Case. Audit Implication Overview. Examples Of Worldwide Activity. Chapter 7. Analytic Tools and Audit Checklists. E-Health And Healthcare Business Processes. Patient Business Process. Problem #1: Financial Case Management Advocacy. Problem #2: Clinical Case Management Advocacy. Provider Business Process. Problem #1: Lack Of Electronic Internal Controls. Problem #2: Lack Of Internal Controls With User Identity. Problem #3: Lack Of Internal Controls For Services Provided And Charged. Payer Business Process. Problem #1: Use And Loss Of Health Information – Handling Subcontracted Vendors. Problem #2: Lack Of Insurance – Processing Fraudulent Claims For Enrolled Beneficiaries. Plan Sponsor Business Process. Problem #1: Employee Working Environments. Problem #2: Employer Increase In Healthcare Expenditures. Third-Party Vendor Business Process. Problem: Increase In Pharmaceutical Expenditures. Audit Implication Overview. Chapter 8. Electronic Health Records. Current E-Health Offerings. Market Evolution. E-Health Content Standards. E-Health Offering Vulnerabilities. Audit Implication Overview. Chapter 9. Healthcare Portfolio. Health Infomediary Support. PHR Attributes. Future Considerations. Major Market Activity. Audit Implication Overview. Chapter 10. Conclusions. Market Overview. Market Standards. Market Conflicts. Market Intelligence. Market Audits. Market Directions. Consumer Response to PHRs. Audit Implication Overview. Index.

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Book SynopsisStatistical Theories and Methods with Applications to Economics and Business highlights recent advances in statistical theory and methods that benefit econometric practice. It deals with exploratory data analysis, a prerequisite to statistical modelling and part of data mining. It provides recently developed computational tools useful for data mining, analysing the reasons to do data mining and the best techniques to use in a given situation. Provides a detailed description of computer algorithms. Provides recently developed computational tools useful for data mining Highlights recent advances in statistical theory and methods that benefit econometric practice. Features examples with real life data. Accompanying software featuring DASC (Data Analysis and Statistical Computing). Essential reading for practitioners in any area of econometrics; business analysts involved in economics and management; and Graduate Table of ContentsForeword xi Preface xiii Acknowledgements xvii 1 Introduction 1 1.1 Nature and Scope of Econometrics 2 1.1.1 What is Econometrics and Why Study Econometrics? 2 1.1.2 Econometrics and Scientific Credibility of Business and Economic Decisions 4 1.2 Types of Economic Problems, Types of Data, and Types of Models 5 1.2.1 Experimental Data from a Marketing Experiment 5 1.2.2 Cross-Section Data: National Sample Survey Data on Consumer Expenditure 6 1.2.3 Non-Experimental Data Taken from Secondary Sources: The Case of Pharmaceutical Industry in India 8 1.2.4 Loan Default Risk of a Customer and the Problem Facing Decision on a Loan Application 9 1.2.5 Panel Data: Performance of Banks in India by the Type of Ownership after Economic Reforms 10 1.2.6 Single Time Series Data: The Bombay Stock Exchange (BSE) Index 12 1.2.7 Multiple Time Series Data: Stock Prices in BRIC Countries 12 1.3 Pattern Recognition and Exploratory Data Analysis 14 1.3.1 Some Basic Issues in Econometric Modeling 14 1.3.2 Exploratory Data Analysis Using Correlations and Scatter Diagrams: The Relative Importance of Managerial Function and Labor 16 1.3.3 Cleaning and Reprocessing Data to Discover Patterns: BSE Index Data 22 1.4 Econometric Modeling: The Roadmap of This Book 24 1.4.1 The Econometric Modeling Strategy 24 1.4.2 Plan of the Book 25 Electronic References for Chapter 1 27 References 27 2 Independent Variables in Linear Regression Models 29 2.1 Brief Review of Linear Regression 29 2.1.1 Brief Review of Univariate Linear Regression 29 2.1.2 Brief Review of Multivariate Linear Regression 38 2.2 Selection of Independent Variable and Stepwise Regression 49 2.2.1 Principles of Selection of Independent Variables 49 2.2.2 Stepwise Regression 52 2.3 Multivariate Data Transformation and Polynomial Regression 57 2.3.1 Linear Regression after Multivariate Data Transformation 57 2.3.2 Polynomial Regression on an Independent Variable 61 2.3.3 Multivariable Polynomial Regression 62 2.4 Column Multicollinearity in Design Matrix and Ridge Regression 65 2.4.1 Effect of Column Multicollinearity of Design Matrix 65 2.4.2 Ridge Regression 68 2.4.3 Ridge Trace Analysis and Ridge Parameter Selection 70 2.4.4 Generalized Ridge Regression 71 2.5 Recombination of Independent Variable and Principal Components Regression 72 2.5.1 Concept of Principal Components Regression 72 2.5.2 Determination of Principal Component 74 Electronic References for Chapter 2 79 References 80 3 Alternative Structures of Residual Error in Linear Regression Models 83 3.1 Heteroscedasticity: Consequences and Tests for Its Existence 85 3.1.1 Consequences of Heteroscedasticity 85 3.1.2 Tests for Heteroscedasticity 87 3.2 Generalized Linear Model with Covariance Being a Diagonal Matrix 90 3.2.1 Diagonal Covariance Matrix and Weighted Least Squares 90 3.2.2 Model with Two Unknown Variances 91 3.2.3 Multiplicative Heteroscedastic Model 92 3.3 Autocorrelation in a Linear Model 95 3.3.1 Linear Model with First-Order Residual Autoregression 96 3.3.2 Autoregressive Conditional Heteroscedasticity (ARCH) Model 101 3.4 Generalized Linear Model with Positive Definite Covariance Matrix 106 3.4.1 Model Definition, Parameter Estimation and Hypothesis Tests 106 3.4.2 Some Equivalent Conditions 108 3.5 Random Effects and Variance Component Model 109 3.5.1 Random Effect Regression Model 109 3.5.2 The Variance Component Model 112 3.5.3 Analysis of Variance Method to Solve Variance Component Model 113 3.5.4 Minimum Norm Quadratic Unbiased Estimation (MINQUE) to Solve Variance Component 121 3.5.5 Maximum Likelihood Method to Solve Variance Component Model 124 Electronic References for Chapter 3 125 References 125 4 Discrete Variables and Nonlinear Regression Model 129 4.1 Regression Model When Independent Variables are Categorical 130 4.1.1 Problem About Wage and Gender Differences 131 4.1.2 Structural Changes in the Savings Function (Use of Categorical Variables in Combination with Continuous Variables) 133 4.1.3 Cross Section Analysis 138 4.1.4 Seasonal Analysis Model 141 4.2 Models with Categorical or Discrete Dependent Variables 144 4.2.1 Linear Model with Binary Dependent Variable 144 4.2.2 Logit Regression Model 148 4.2.3 Probit Regression Model 153 4.2.4 Tobit Regression Model 154 4.3 Nonlinear Regression Model and Its Algorithm 160 4.3.1 The Least Squares Estimate for Nonlinear Regression Model 162 4.3.2 Maximum Likelihood Estimation of Nonlinear Regression Model 164 4.3.3 Equivalence of Maximum Likelihood Estimation and Least Squares Estimation 166 4.4 Nonlinear Regression Models in Practice 169 4.4.1 Growth Curve Models 169 4.4.2 Box–Cox Transformation Model 176 4.4.3 Survival Data and Failure Rate Model 177 4.4.4 Total Factor Productivity (TFP) 181 Electronic References for Chapter 4 188 References 188 5 Nonparametric and Semiparametric Regression Models 193 5.1 Nonparametric Regression and Weight Function Method 194 5.1.1 The Concept of Nonparametric Regression 194 5.1.2 Weight Function Method 196 5.2 Semiparametric Regression Model 199 5.2.1 Linear Semiparametric Regression Model 202 5.2.2 Single-Index Semiparametric Regression Model 205 5.3 Stochastic Frontier Regression Model 208 5.3.1 Stochastic Frontier Linear Regression Model and Asymptotically Efficient Estimator of Its Parameters 208 5.3.2 Semiparametric Stochastic Frontier Model 210 Electronic References for Chapter 5 212 References 213 6 Simultaneous Equations Models and Distributed Lag Models 215 6.1 Simultaneous Equations Models and Inconsistency of OLS Estimators 216 6.1.1 Demand-and-Supply Model, Keynesian Model and Wage-Price Model (Phillips Curve) 218 6.1.2 Macroeconomic IS Model, LM Model and Klein’s Econometric Model 220 6.1.3 Inconsistency of OLS Estimation 222 6.2 Statistical Inference for Simultaneous Equations Models 223 6.2.1 Indirect Least Squares and Generalized Least Squares 224 6.2.2 Two Stage Least Squares 229 6.3 The Concepts of Lag Regression Models 235 6.3.1 Consumption Lag 236 6.3.2 Inflation Lag 237 6.3.3 Deposit Re-Creation 238 6.4 Finite Distributed Lag Models 239 6.4.1 Estimation of Distributed Lag Models When the Lag Length is Known and Finite 239 6.4.2 The Determination of Distributed Lag Length 239 6.5 Infinite Distributed Lag Models 242 6.5.1 Adaptive Expectations Model and Partial Adjustment Model 243 6.5.2 Koyck Transformation and Estimation of Geometric Lag Models 245 Electronic References for Chapter 6 249 References 250 7 Stationary Time Series Models 253 7.1 Auto-Regression Model AR( p) 255 7.1.1 AR( p) Model and Stationarity 255 7.1.2 Auto-Covariance Function and Autocorrelation Function of AR( p) Model 258 7.1.3 Spectral Density of AR( p) Model and Partial Correlation Coefficient 263 7.1.4 Estimation of Parameters for AR( p) Model with Known Order p 267 7.1.5 Order Identification for AR( p) Process 274 7.2 Moving Average Model MA(q) 276 7.2.1 MA(q) Model and Its Properties 276 7.2.2 Parameter Estimation of MA(q) Model When the Order q is Known 278 7.2.3 Spectral Density Estimation for MA(q) Process 282 7.2.4 Order Identification for MA(q) Process 284 7.3 Auto-Regressive Moving-Average Process ARMA( p, q) 285 7.3.1 ARMA(p, q) Model and Its Properties 285 7.3.2 Parameter Estimations for ARMA(p, q) Model 288 7.3.3 Test for ARMA( p, q) Model 291 7.3.4 Order Identification for ARMA( p, q) Model 291 7.3.5 Univariate Time Series Modeling: The Basic Issues and Approaches 292 Electronic References for Chapter 7 293 References 293 8 Multivariate and Nonstationary Time Series Models 297 8.1 Multivariate Stationary Time Series Model 299 8.1.1 General Description of Multivariable Stationary Time Series Model 299 8.1.2 Estimation of Mean and Autocovariance Function of Multivariate Stationary Time Series 300 8.1.3 Vector Autoregression Model of Order p: VAR( p) 301 8.1.4 Wold Decomposition and Impulse-Response 301 8.1.5 Variance Decomposition with VAR( p) 306 8.1.6 Granger Causality with VAR(p) Specification 309 8.2 Nonstationary Time Series 311 8.2.1 Stochastic Trends and Unit Root Processes 311 8.2.2 Test for Unit Root Hypothesis 314 8.3 Cointegration and Error Correction 321 8.3.1 The Concept and Representation of Cointegration 322 8.3.2 Simultaneous (Structural) Equation System (SES) and Vector Auto Regression (VAR) 324 8.3.3 Cointegration and Error Correction Representation 325 8.3.4 Estimation of Parameters of Cointegration Process 329 8.3.5 Test of Hypotheses on the Number of Cointegrating Equations 330 8.4 Autoregression Conditional Heteroscedasticity in Time Series 333 8.4.1 ARCH Model 334 8.4.2 Generalized ARCH Model—GARCH Model 338 8.4.3 Other Generalized Forms of ARCH Model 342 8.5 Mixed Models of Multivariate Regression with Time Series 346 8.5.1 Mixed Model of Multivariate Regression with Time Series 346 8.5.2 Mixed Model of Multivariate Regression and Cointegration with Time Series 349 Electronic References for Chapter 8 353 References 353 9 Multivariate Statistical Analysis and Data Analysis 357 9.1 Model of Analysis of Variance 358 9.1.1 Single Factor Analysis of Variance Model 358 9.1.2 Two Factor Analysis of Variance with Non-Repeated Experiment 361 9.1.3 Two Factor Analysis of Variance with Repeated Experiment 364 9.2 Other Multivariate Statistical Analysis Models 370 9.2.1 Discriminate Analysis Model 370 9.2.2 Factor Analysis Model 376 9.2.3 Principal Component Analysis and Multidimensional Scaling Method 380 9.2.4 Canonical Correlation Analysis 384 9.3 Customer Satisfaction Model and Path Analysis 387 9.3.1 Customer Satisfaction Model and Structural Equations Model 387 9.3.2 Partial Least Square and the Best Iterative Initial Value 391 9.3.3 Definite Linear Algorithm for SEM 399 9.3.4 Multi-Layers Path Analysis Model 402 9.4 Data Analysis and Process 404 9.4.1 Panel Data Analysis 404 9.4.2 Truncated Data Analysis 405 9.4.3 Censored Data Analysis 406 9.4.4 Duration Data Analysis 407 9.4.5 High Dimensional Data Visualization 409 Electronic References for Chapter 9 412 References 413 10 Summary and Further Discussion 415 10.1 About Probability Distributions: Parametric and Non-Parametric 416 10.1.1 Distributions of Functions of Random Variables 416 10.1.2 Parametric, Non-Parametric, and Semi-Parametric Specification of Distributions 417 10.1.3 Non-Parametric Specification of Density Functions 418 10.2 Regression 421 10.2.1 Regression as Conditional Mean of the Dependent Variable 421 10.2.2 Regressions with Homoscedastic and Heteroscedastic Variance 421 10.2.3 General Regression Functions: Quantiles and Quantile Regression 423 10.2.4 Design of Experiments, Regression, and Analysis of Variance 424 10.3 Model Specification and Prior Information 425 10.3.1 Data Generation Process (DGP) and Economic Structure 426 10.3.2 Deterministic but Unknown Parameters and Model Specification as a Maintained Hypothesis 428 10.3.3 Stochastic Prior Information on Unknown Parameters 429 10.4 Classical Theory of Statistical Inference 430 10.4.1 The Likelihood Function, Sufficient Statistics, Complete Statistics, and Ancillary Statistics 430 10.4.2 Different Methods of Estimation of Unknown Parameters 434 10.4.3 Biased and Unbiased Estimators, Consistency of Estimators 437 10.4.4 Information Limit to Variance of an Estimator, Cramer-Rao Bound, and Rao-Blackwell Theorem 438 10.4.5 Approximate Sufficiency and Robust Estimation 440 10.5 Computation of Maximum Likelihood Estimates 441 10.5.1 Newton-Raphson Method and Rao’s Method of Scoring 442 10.5.2 Davidon-Fletcher-Powell-Reeves Conjugate Gradient Procedure 443 10.5.3 Estimates of the Variance Covariance Matrix of Maximum Likelihood Estimators 444 10.6 Specification Searches 445 10.6.1 Choice Between Alternate Specifications: Akaike and Schwarz Information Criteria 445 10.6.2 Generalized Information and Complexity-Based Model Choice Criterion 447 10.6.3 An Illustration of Model Choice: Engel Curve for Food Consumption in India 448 10.7 Resampling and Sampling Distributions – The Bootstraps Method 450 10.7.1 The Concept of Resampling and the Bootstraps Method 450 10.7.2 Bootstraps in Regression Models 452 10.8 Bayesian Inference 454 10.8.1 The Bayes Rule 454 10.8.2 Choice of Prior Probability Distribution for the Parameter 455 10.8.3 Bayesian Concepts for Statistical Inference 456 Electronic References for Chapter 10 457 References 458 Index 461

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Book SynopsisIn this book, authors Dalton Cervo and Mark Allen show you how to implement Master Data Management (MDM) within your business model to create a more quality controlled approach. Focusing on techniques that can improve data quality management, lower data maintenance costs, reduce corporate and compliance risks, and drive increased efficiency in customer data management practices, the book will guide you in successfully managing and maintaining your customer master data. You''ll find the expert guidance you need, complete with tables, graphs, and charts, in planning, implementing, and managing MDM.Table of ContentsForeword xiii Preface xvii Acknowledgments xxi Introduction 1 Part I: Planning Your Customer MDM Initiative 7 Chapter 1: Defining Your MDM Scope and Approach 9 MDM Approaches and Architectures 9 Analytical MDM 11 Operational MDM 14 Enterprise MDM 18 Defining the Business Case 20 Cost Reduction 21 Risk Management 22 Revenue Growth 23 Selecting the Right MDM Approach 23 Data Management Maturity Level 24 Addressing the ROI Question 27 Summary 27 Note 28 Chapter 2: Establishing Effective Ownership 29 The Question of Data Ownership 29 Executive Involvement 31 MDM with Segmented Business Practices 31 A Top-Down and Bottom-Up Approach 32 Creating Collaborative Partnerships 33 Can Your Current IT and Business Model Effectively Support MDM? 33 The Acceptance Factor 34 Business Access to Data 35 Coordination of MDM Roles and Responsibilities 36 Summary 38 Notes 38 Chapter 3: Priming the MDM Engine 39 Introduction 39 Positioning MDM Tools 40 Data Integration and Synchronization 42 Data Profiling 43 Data Migration 46 Data Consolidation and Segmentation 55 Reference Data 57 Metadata 60 Summary 63 Notes 63 Part II: The Implementation Fundamentals 65 Chapter 4: Data Governance 67 Initiating a Customer Data Governance Model 67 Planning and Design 69 Establishing the Charter 70 Policies, Standards, and Controls 78 Implementation 85 Process Readiness 85 Implement 88 Maintain and Improve 91 Summary 93 Notes 94 Chapter 5: Data Stewardship 95 From Concept to Practice 95 People 96 MDM Process Core Team 97 Operational Process Areas 102 Processes 107 Data Caretaking 108 Summary 109 Chapter 6: Data Quality Management 111 Implementing a Data Quality Model 111 A Process for Data Quality 114 Drivers 115 Data Quality (DQ) Forum 117 Controls/Data Governance 119 Data Analysts 120 Design Team 123 IT Support/Data Stewards 125 Metrics 126 Establishing a Data Quality Baseline 127 Context 127 Data Quality Dimensions 129 Entities and Attributes 129 Putting It All Together 132 Data Alignment and Fitness Assessment 136 Data Correction Initiatives 137 Summary 140 Note 140 Chapter 7: Data Access Management 141 Creating the Business Discipline 141 Beyond the System Administrator 142 Creating the Right Gatekeeper Model 144 Preparing 145 Employee Data 146 Access Management Requirements 146 Add User Group Names 148 Map Privileges to Requirement Categories 149 Profiling the Data 150 Implementing and Managing the Process 152 Testing and Launching the Process 157 Resolve Issues Immediately 157 Auditing and Monitoring 158 Segregation of Duty (SoD) Management 159 Summary 161 Notes 161 Part III: Achieving a Steady State 163 Chapter 8: Data Maintenance and Metrics 165 Data Maintenance 165 Specify, Profile, and Analyze 167 Improve 167 Data Quality Metrics 184 Monitors 185 Scorecards 187 Summary 189 Note 190 Chapter 9: Maturing Your MDM Model 191 How to Recognize and Gauge Maturity? 191 Data Governance Maturity 193 Data Stewardship Maturity 194 Data Quality Maturity 195 Data Access Management Maturity 197 Summary 198 Notes 199 Part IV: Advanced Practices 201 Chapter 10: Creating the Customer 360 View 203 Introduction 203 Hierarchy Management (HM) 206 Operational versus Analytical Hierarchies 207 Single versus Multiple Hierarchies 208 Number of Levels in the Customer Hierarchy 209 Virtual versus Physical Customer Records 211 Legal versus Non-Legal Hierarchies 212 The Elusive, yet Achievable, 360 Customer View 213 Summary 213 Chapter 11: Surviving Organizational Change 215 How Adaptable is Your Customer Master Data? 215 Data Quality Factors 216 Data Completeness 217 Data Consistency 217 Data Integrity 218 The Change Management Challenge 219 Data Governance Can Greatly Assist a Transitioning State 220 Leveraging the Data Stewards and Analysts 220 Adopting Best Practices 222 Summary 222 Chapter 12: Beyond Customer MDM 225 The Leading and Lagging Ends 225 Technology’s Influence on MDM 226 Overcoming the IT and Business Constraints 228 Achieving an Effective Enterprise-Wide MDM Model 230 Where Does MDM Lead? 233 Summary 235 Note 236 Recommended Reading 237 About the Authors 239 Index 241

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Book SynopsisAn insightful, hands-on focus on the statistical methods used by compensation and human resources professionals in their everyday work Across various industries, compensation professionals work to organize and analyze aspects of employment that deal with elements of pay, such as deciding base salary, bonus, and commission provided by an employer to its employees for work performed. Acknowledging the numerous quantitative analyses of data that are a part of this everyday work, Statistics for Compensation provides a comprehensive guide to the key statistical tools and techniques needed to perform those analyses and to help organizations make fully informed compensation decisions. This self-contained book is the first of its kind to explore the use of various quantitative methodsfrom basic notions about percents to multiple linear regressionthat are used in the management, design, and implementation of powerful compensation strategies. Drawing upon his exteTrade Review“As an experienced compensation manager for a publicly traded Fortune 500 company, I have found this book to be an all-inclusive, highly useful and infor­mative desk reference. It certainly has been extremely valuable in helping me to contribute to successful strategic decisions at my company.” (Workspan, 1 January 2013) "The book can serve as a text for students specializing in compensation or human resources, or as a reference for practitioners. He provides worked examples throughout." (Booknews, 1 June 2011) Table of ContentsPreface xiii Chapter 1 Introduction 1 1.1 Why do Statistical Analysis? 2 Example Analysis 3 1.2 Statistics 5 1.3 Numbers Raise Issues 6 1.4 Behind Every Data Point, There Is a Story 8 1.5 Aggressive Inquisitiveness 9 1.6 Model Building Framework 9 Example Model 10 1.7 Data Sets 10 1.8 Prerequisites 11 Chapter 2 Basic Notions 13 2.1 Percent 14 Graphical Displays of Percents 16 2.2 Percent Difference 21 2.3 Compound Interest 23 Future Value 24 Present Value 26 Translating 27 Practice Problems 28 Chapter 3 Frequency Distributions and Histograms 31 3.1 Definitions and Construction 41 Rules for Categories 43 3.2 Comparing Distributions 48 Absolute Comparison and Relative Comparison 48 Comparing More Than Two Distributions 50 3.3 Information Loss and Comprehension Gain 51 3.4 Category Selection 51 3.5 Distribution Shapes 54 Uniform Distribution 55 Bell-Shaped Distribution 55 Normal Distribution 56 Skewed Distribution 59 Bimodal Distribution 60 Practice Problems 62 Chapter 4 Measures of Location 67 4.1 Mode 67 4.2 Median 68 4.3 Mean 70 4.4 Trimmed Mean 73 4.5 Overall Example and Comparison 73 Comparison 75 4.6 Weighted and Unweighted Average 76 Which Measure to Use? 78 Application of Weighted Averages to Salary Increase Guidelines 80 4.7 Simpson’s Paradox 82 4.8 Percentile 85 Reverse Percentile 88 4.9 Percentile Bars 90 Practice Problems 92 Chapter 5 Measures of Variability 95 5.1 Importance of Knowing Variability 95 5.2 Population and Sample 96 Examples of Populations 96 Examples of Samples and Populations 96 5.3 Types of Samples 97 5.4 Standard Deviation 98 Interpretations and Applications of Standard Deviation 100 5.5 Coefficient of Variation 107 Interpretations and Applications of Coefficient of Variation 108 5.6 Range 109 Interpretations and Applications of Range 109 5.7 P90/P10 110 Interpretations and Applications of P90/P10 111 5.8 Comparison and Summary 112 Practice Problems 115 Chapter 6 Model Building 119 6.1 Prelude to Models 119 6.2 Introduction 120 6.3 Scientific Method 122 6.4 Models 123 6.5 Model Building Process 126 Plotting Points 128 Functional Forms 132 Method of Least Squares 136 Practice Problems 138 Chapter 7 Linear Model 141 7.1 Examples 141 7.2 Straight Line Basics 143 Interpretations of Intercept and Slope 144 Using the Equation 145 7.3 Fitting the Line to the Data 147 What We Are Predicting 148 Interpretations of Intercept and Slope 149 7.4 Model Evaluation 149 Appearance 150 Coefficient of Determination 150 Correlation 152 Standard Error of Estimate 154 Common Sense 154 7.5 Summary of Interpretations and Evaluation 155 7.6 Cautions 155 7.7 Digging Deeper 158 7.8 Keep the Horse before the Cart 160 Practice Problems 164 Chapter 8 Exponential Model 167 8.1 Examples 167 8.2 Logarithms 168 Antilogs 170 Scales 170 Why Logarithms? 171 8.3 Exponential Model 172 8.4 Model Evaluation 176 Appearance 176 Coefficient of Determination 177 Correlation 177 Standard Error of Estimate 177 Common Sense 178 Summary of Evaluation 178 Practice Problems 178 Chapter 9 Maturity Curve Model 181 9.1 Maturity Curves 181 9.2 Building the Model 184 Cubic Model 184 Cubic Model Evaluation 186 Spline Model 187 Spline Model Evaluation 188 9.3 Comparison of Models 190 Practice Problems 190 Chapter 10 Power Model 193 10.1 Building the Model 193 10.2 Model Evaluation 197 Appearance 197 Coefficient of Determination 198 Correlation 198 Standard Error of Estimate 198 Common Sense 199 Summary of Evaluation 199 Practice Problems 200 Chapter 11 Market Models and Salary Survey Analysis 201 11.1 Introduction 201 11.2 Commonalities of Approaches 203 11.3 Final Market-Based Salary Increase Budget 205 Initial Market-Based Salary Increase Budget and Market Position 205 Final Market-Based Salary Increase Budget 206 Raises Given Throughout the Year 206 Raises Given on a Common Date 208 11.4 Other Factors Influencing the Final Salary Increase Budget Recommendation 210 Assumptions 211 11.5 Salary Structure 211 Practice Problems 213 Chapter 12 Integrated Market Model: Linear 215 12.1 Gather Market Data 215 12.2 Age Data to a Common Date 217 12.3 Create an Integrated Market Model 217 Interpretations 219 12.4 Compare Employee Pay with Market Model 222 Practice Problems 228 Chapter 13 Integrated Market Model: Exponential 233 Practice Problems 246 Chapter 14 Integrated Market Model: Maturity Curve 251 Practice Problems 261 Chapter 15 Job Pricing Market Model: Group of Jobs 265 Practice Problems 272 Chapter 16 Job Pricing Market Model: Power Model 277 Practice Problems 280 Chapter 17 Multiple Linear Regression 283 17.1 What It Is 283 17.2 Similarities and Differenceswith Simple Linear Regression 284 17.3 Building the Model 285 First x-Variable 292 Second x-Variable 295 Standardized Coefficient 298 Third x-Variable 300 Multicollinearity 301 17.4 Model Evaluation 305 Regression Coefficients 305 Standardized Coefficients 306 Coefficient of Determination 306 Standard Error of Estimate 306 Multicollinearity 306 Simplicity 307 Common Sense 307 Acceptability 307 Reality 307 Decision 307 17.5 Mixed Messages in Evaluating A Model 308 r2 Versus Common Sense 308 r2 Versus Simplicity 308 Simplicity Versus Acceptability 308 17.6 Summary of Regressions 308 17.7 Digging Deeper 310 Summary 315 Practice Problems 317 Appendix 319 A.1 Value Exchange Theory 319 Achieving Organization Goals 319 Value Exchange 319 A Fair Value Exchange Is a Good Deal 320 A.2 Factors Determining a Person’s Pay 321 System Factors 322 Individual Factors 323 A.3 Types of Numbers 324 Definitions and Properties 324 Histograms with All Four Types of Measurements 327 A.4 Significant Figures 330 A.5 Scientific Notation 331 A.6 Accuracy and Precision 332 Which Is More Important? 333 A.7 Compound Interest–Additional 333 Other Formulas 333 A.8 Rule of 72 334 Derivation of the Rule of 72 335 A.9 Normal Distribution 336 Central Limit Theorem 337 Distribution of Salary Survey Data 338 A.10 Linear Regression Technical Note 338 A.11 Formulas for Regression Terms 340 A.12 Logarithmic Conversion 340 A.13 Range Spread Relationships 340 Overlap 343 A.14 Statistical Inference in Regression 344 t-Statistic and Its Probability 347 F-Statistic and Its Probability 348 Mixed Messages in Evaluating a Model 349 A.15 Additional Multiple Linear Regression Topics 349 Adjusted r2 349 Coding of Indicator Variables 350 Interaction Terms 351 GLOSSARY 357 REFERENCES 369 ANSWERS TO PRACTICE PROBLEMS 371 INDEX 433

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Book SynopsisIndustrial Statistics with MINITAB demonstrates the use of MINITAB as a tool for performing statistical analysis in an industrial context. This book covers introductory industrial statistics, exploring the most commonly used techniques alongside those that serve to give an overview of more complex issues.Table of ContentsPreface xiii Part One Introduction and Graphical Techniques 1 1 A First Look 3 1.1 Initial Screen 3 1.2 Entering Data 4 1.3 Saving Data: Worksheets and Projects 5 1.4 Data Operations: An Introduction 5 1.5 Deleting and Inserting Columns and Rows 7 1.6 First Statistical Analyses 8 1.7 Getting Help 10 1.8 Personal Configuration 12 1.9 Assistant 13 1.10 Any Difficulties? 14 2 Graphics for Univariate Data 15 2.1 File ‘PULSE’ 15 2.2 Histograms 16 2.3 Changing the Appearance of Histograms 17 2.4 Histograms for Various Data Sets 21 2.5 Dotplots 23 2.6 Boxplots 24 2.7 Bar Diagrams 25 2.8 Pie Charts 27 2.9 Updating Graphs Automatically 28 2.10 Adding Text or Figures to a Graph 29 3 Pareto Charts and Cause–Effect Diagrams 31 3.1 File ‘DETERGENT’ 31 3.2 Pareto Charts 32 3.4 Cause-and-Effect Diagrams 35 4 Scatterplots 37 4.1 File ‘pulse’ 37 4.2 Stratification 38 4.3 Identifying Points on a Graph 39 4.4 Using the ‘Crosshairs’ Option 45 4.5 Scatterplots with Panels 46 4.6 Scatterplots with Marginal Graphs 48 4.7 Creating an Array of Scatterplots 50 5 Three Dimensional Plots 52 5.1 3D Scatterplots 52 5.2 3D Surface Plots 55 5.3 Contour Plots 58 6 Part One: Case Studies – Introduction and Graphical Techniques 62 6.1 Cork 62 6.2 Copper 68 6.3 Bread 73 6.4 Humidity 76 Part Two Hypothesis Testing. Comparison of Treatments 79 7 Random Numbers and Numbers Following a Pattern 81 7.1 Introducing Values Following a Pattern 81 7.2 Sampling Random Data from a Column 83 7.3 Random Number Generation 83 7.4 Example: Solving a Problem Using Random Numbers 85 8 Computing Probabilities 87 8.1 Probability Distributions 87 8.2 Option ‘Probability Density’ or ‘Probability’ 88 8.3 Option ‘Cumulative Probability’ 89 8.4 Option ‘Inverse Cumulative Probability’ 89 8.5 Viewing the Shape of the Distributions 92 8.6 Equivalence between Sigmas of the Process and Defects per Million Parts Using ‘Cumulative Probability’ 92 9 Hypothesis Testing for Means and Proportions. Normality Test 95 9.1 Hypothesis Testing for One Mean 95 9.2 Hypothesis Testing and Confidence Interval for a Proportion 99 9.3 Normality Test 100 10 Comparison of Two Means, Two Variances or Two Proportions 103 10.1 Comparison of Two Means 103 10.2 Comparison of Two Variances 107 10.3 Comparison of Two Proportions 109 11 Comparison of More than Two Means: Analysis of Variance 110 11.1 ANOVA (Analysis of Variance) 110 11.2 ANOVA with a Single Factor 110 11.3 ANOVA with Two Factors 114 11.4 Test for Homogeneity of Variances 119 12 Part Two: Case Studies – Hypothesis Testing. Comparison of Treatments 120 12.1 Welding 120 12.2 Rivets 124 12.3 Almonds 126 12.4 Arrow 127 12.5 U Piece 131 12.6 Pores 133 Part Three Measurement Systems Studies and Capability Studies 137 13 Measurement System Study 139 13.1 Crossed Designs and Nested Designs 139 13.2 File ‘RR_CROSSED’ 140 13.3 Graphical Analysis 140 13.4 R&R Study for the Data in File ‘RR_CROSSED’ 141 13.5 File ‘RR_NESTED’ 147 13.6 Gage R&R Study for the Data in File ‘RR_NESTED’ 147 13.7 File ‘GAGELIN’ 148 13.8 Calibration and Linearity Study of the Measurement System 148 14 Capability Studies 151 14.1 Capability Analysis: Available Options 151 14.2 File ‘VITA_C’ 152 14.3 Capability Analysis (Normal Distribution) 152 14.4 Interpreting the Obtained Information 152 14.5 Customizing the Study 154 14.6 ‘Within’ Variability and ‘Overall’ Variability 155 14.7 Capability Study when the Sample Size is Equal to One 158 14.8 A More Detailed Data Analysis (Capability Sixpack) 161 15 Capability Studies for Attributes 163 15.1 File ‘BANK’ 163 15.2 Capability Study for Variables that Follow a Binomial Distribution 163 15.3 File ‘OVEN_PAINTED’ 166 15.4 Capability Study for Variables that Follow a Poisson Distribution 166 16 Part Three: Case Studies – R&R Studies and Capability Studies 168 16.1 Diameter_measure 168 16.2 Diameter_capability_1 173 16.3 Diameter_capability_2 174 16.4 Web_visits 176 Part Four Multi-Vari Charts and Statistical Process Control 181 17 Multi-Vari Charts 183 17.1 File ‘MUFFIN’ 183 17.2 Multi-Vari Chart with Three Sources of Variation 184 17.3 Multi-Vari Chart with Four Sources of Variation 186 18 Control Charts I: Individual Observations 188 18.1 File ‘CHLORINE’ 188 18.2 Graph of Individual Observations 188 18.3 Customizing the Graph 191 18.4 I Chart Options 192 18.5 Graphs of Moving Ranges 196 18.6 Graph of Individual Observations – Moving Ranges 197 19 Control Charts II: Means and Ranges 198 19.1 File ‘VITA_C’ 198 19.2 Means Chart 199 19.3 Graphs of Ranges and Standard Deviations 200 19.4 Graphs of Means-Ranges 201 19.5 Some Ideas on How to Use Minitab as a Simulator of Processes for Didactic Reasons 201 20 Control Charts for Attributes 204 20.1 File ‘MOTORS’ 204 20.2 Plotting the Proportion of Defective Units (P) 204 20.3 File ‘CATHETER’ 205 20.4 Plotting the Number of Defective Units (NP) 206 20.5 Plotting the Number of Defects per Constant Unit of Measurement (C) 208 20.6 File ‘FABRIC’ 210 20.7 Plotting the Number of Defects per Variable Unit of Measurement (U) 210 21 Part Four: Case Studies – Multi-Vari Charts and Statistical Process Control 212 21.1 Bottles 212 21.2 Mattresses (1st Part) 217 21.3 Mattresses (2nd Part) 221 21.4 Plastic (1st Part) 223 21.5 Plastic (2nd Part) 224 Part Five Regression and Multivariate Analysis 231 22 Correlation and Simple Regression 235 22.1 Correlation Coefficient 235 22.2 Simple Regression 238 22.3 Simple Regression with ‘Fitted Line Plot’ 239 22.4 Simple Regression with ‘Regression’ 244 23 Multiple Regression 247 23.1 File ‘CARS2’ 247 23.2 Exploratory Analysis 247 23.3 Multiple Regression 249 23.4 Option Buttons 250 23.5 Selection of the Best Equation: Best Subsets 252 23.6 Selection of the Best Equation: Stepwise 254 24 Multivariate Analysis 256 24.1 File ‘LATIN_AMERICA’ 256 24.2 Principal Components 257 24.3 Cluster Analysis for Observations 263 24.4 Cluster Analysis for Variables 266 24.5 Discriminant Analysis 267 25 Part Five: Case Studies – Regression and Multivariate Analysis 272 25.1 Tree 272 25.2 Power Plant 278 25.3 Wear 285 25.4 TV Failure 290 Part Six Experimental Design and Reliability 293 26 Factorial Designs: Creation 295 26.1 Creation of the Design Matrix 295 26.2 Design Matrix with Data Already in the Worksheet 301 27 Factorial Designs: Analysis 303 27.1 Calculating the Effects and Determining the Significant Ones 303 27.2 Interpretation of Results 308 27.3 A Recap with a Fractional Factorial Design 310 28 Response Surface Methodology 313 28.1 Matrix Design Creation and Data Collection 313 28.2 Analysis of the Results 317 28.3 Contour Plots and Response Surface Plots 322 29 Reliability 325 29.1 File 325 29.2 Nonparametric Analysis 326 29.3 Identification of the Best Model for the Data 329 29.4 Parametric Analysis 330 29.5 General Graphical Display of Reliability Data 333 30 Part Six: Case Studies – Design of Experiments and Reliability 335 30.1 Cardigan 335 30.2 Steering wheel – 1 340 30.3 Steering Wheel – 2 343 30.4 Paper Helicopters 345 30.5 Microorganisms 349 30.6 Jam 359 30.7 Photocopies 365 Appendices 371 A1 Appendix 1: Answers to Questions that Arise at the Beginning 373 A2 Appendix 2: Managing Data 377 A2.1 Copy Columns with Restrictions (File: ‘PULSE’) 377 A2.2 Selection of Data when Plotting a Graph 381 A2.3 Stacking and Unstacking of Columns (File ‘BREAD’) 382 A2.4 Coding and Sorting Data 386 A3 Appendix 3: Customization of Minitab 390 A3.1 Configuration Options 390 A3.2 Use of Toolbars 392 A3.3 Add Elements to an Existing Toolbar 392 A3.4 Create Custom Toolbars 393 Index 397

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Book SynopsisThis book teaches how to calculate retail prices. It provides formulas for calculating markon, markup, and markdowns; planning net sales, purchases, stock turnover, expenses, gross margin; and it covers transportation terms, discounts, and all other financial considerations relevant to cost of goods and pricing.Table of ContentsPartial table of contents: PURCHASING AND PRICING. Transportation Terms and Charges. Terms and Dating. Markon Based on Selling Price. Markon Based on Cost Price. Average Markon. COMPUTING AND COVERING EXPENSES. Gross Margin. Expenses. Initial Markon. Cumulative Markon. Markdown. Stock Turnover. SELLING. The Merchandise Plan. Planning Sales. Planning Stocks. Planning Purchases: Open-to-Buy. The Selling Cost Percent. RECORD KEEPING. Inventory Valuation. Comparing Departments. The Income Statement. Appendix. Index.

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Book SynopsisFor all their remarkable benefits, the arsenal of electronic technologies found in most offices can lose allure in the face of a disorganized environment. Now, efficiency expert Kerry Gleeson has adapted the techniques of his internationally acclaimed Personal Efficiency Program (PEP) to the electronic office.Table of ContentsPrinciples of Work. Organizing Your Work Space. Organizing the Computer. Organizing Yourself with a Computer: Time and Money. Road Warrior Wisdom. The Internet and World Wide Web. Groupware. Epilogue. Glossary. References. Index. About the Institute for Business Technology.

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Book SynopsisPRAISE FOR ACHIEVING BUSINESS VALUE FROM TECHNOLOGY Clearly, IT investments have never before played such a critical part in business growth. The book addresses the weakness existing in most management systems involving the lack of a systematic process to realize the economic benefits of the IT investment and provides a clear A-Z methodology for business to bridge this gap. This book is clearly written for all levels and backgrounds in business management and is a must-do for those whose business involves IT, is considering IT, or would like to significantly tailor IT investments for their economic advantage. Professor Richard P. Wool, University of Delaware, President and CEO, Cara Plastics Inc. Tony Murphy addresses the difficult question of the value of IT investments head on. He translates an elegant theory into effective practice. The case studies in the book effectively reinforce his key messages. Dr. Dermot Moynihan, Senior Vice PresideTable of ContentsIntroduction xi Chapter 1: Industrial Age Thinking for Information Age Problems 1 Business Value from Information Technology (BVIT)—A Large and Growing Problem 2 Learning from Case Studies 3 What Do These Case Studies Have in Common? 11 Some Historical Perspective 12 Drawing Conclusions from These Changes 23 Revisiting the Case Studies 27 Industrial Age Thinking for Information Age Problems 30 The Limitations of Financial Metrics 30 The Value of Financial Techniques for IT Investment Appraisal 36 What Else Do We Need? 36 Summary 38 Chapter 2: The Five Pillars of Benefits Realization 39 Pillar 1: Strategic Alignment 42 Pillar 2: Business Process Impact 45 Pillar 3: Architecture 52 Pillar 4: Direct Payback 61 Pillar 5: Risk 66 Summary 76 Chapter 3: P2—Process 77 Step 1: Setting the Ground Rules 81 Step 2: Defining IT Value Standards 90 Step 3: IT Value Analysis 95 Step 4: IT Value Project Management 113 Step 5: IT Value Achievement 118 Step 6: IT Value Management 127 Selecting Specific Products and Vendors 140 Refinements 142 Sensitivity Analysis 146 Investment Scope 147 Summary 148 Chapter 4: P3—People 151 Roles—A Foundation Stone of Effective Governance 153 The IT Council 155 The IT Investment Board 157 The Office of Architecture and Standards 159 The Project Office 163 Summary and Next Steps 165 Appendix A: Sample Value Standards 169 Strategic Alignment 169 Payback 171 Architecture 173 Business Process Impact 174 Risk 174 Appendix B: Sample Value Standards Scoring Metrics 177 Business Process Impact 177 Architecture 180 Risk 181 Appendix C: Completed Weightings 183 Appendix D: From the Field—Investment Case Worked Example 185 Appendix E: Quantifying End-User Benefits 201 Preliminary Information 201 Opening the Meeting 202 Resolution of Inconsistencies 202 Quantifying the Benefits 203 Refine Quantification 205 Cross-Verification 205 Appendix F: Gartner Recommended Approach to Risk Management 207 Collaborative Risk Management 207 Risk Assessment Processes 208 Predictability and Complexity of Risks 215 Summary 216 Appendix G: Analytical Hierarchy Process/Analysis 217 Appendix H: Probability Analysis (Monte Carlo Simulation) 227 Appendix I: Gartner Approach to Change Management: Strategic Planning Assumption 231 The Need for Change Management 231 The Human Response to Change 233 Appendix J: Financial Metrics 239 Net Present Value (NPV) 239 Internal Rate of Return (IRR) 239 Index 243

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Book SynopsisThe sign of a smart decision about information systems isn't based on technical details alone; it's based on how well that decision contributes to the overall success of the business. To obtain pay off, from investing in information systems, requires a truly managerial perspective about IS.In Paul Gray's Manager's Guide to Making Decisions About IS you'll learn how IS can help the organization as a whole, and how to make key decisions on whether to undertake, upgrade, or outsource large software systems. You'll also learn about how IS is used for all aspects of a businessfrom recording individual transactions to gaining competitive intelligence to business strategy. The Manager's Guide to Making Decisions About IS first focuses on big picture issues, such as hardware, software, and the Internet; strategic uses of IS; aligning IS with the business; types of applications; and inter-organizational systems. Gray then provides you with essential knowledge that will help Table of ContentsChapter 1 What Is An Information System? 1 Managerial Questions 1 Introduction 1 What is an Information System? 2 Components of an Information System 2 Hardware 3 Personal Computers 3 Mainframe Computers 3 Client–Server Computers 4 Remote Computing Using Application Service Providers, Web Services, and Grid Computing 4 Software 5 Operating Systems 5 Applications Programs 5 Electronic Commerce (Chapter 3) 7 ERP (Enterprise Requirements Planning) (Chapter 4) 7 Data Warehousing (Chapter 5) 8 Customer Relationship Management (Chapter 6) 8 Knowledge Management (Chapter 7) 9 Business Intelligence (Chapter 8) 10 The Internet 11 Websites 11 Connectivity 11 Finding Things Using Search Engines 12 Content Management 12 Intranet/Extranet 12 Privacy 12 Security 12 Corporate Portals 13 Website Development 13 Website Traffic Analysis 13 Answers to Managerial Questions 14 Chapter 2 the Big Picture: It and Business 15 Managerial Questions 15 Introduction 15 Strategic Advantage Versus Strategic Necessity 15 Continual Improvement 17 Introducing Strategic Information Systems 17 Risks 19 Business–it Alignment 20 Assessing the Alignment Maturity Level 21 Alignment Considerations 21 Alignment when Strategy Changes 21 Information Economics 23 The Search for Productivity 23 Why Invest? 25 Organizational Change 25 Some Practical Problems 26 Does Information Technology Matter? 26 Carr’s Argument 26 The Response to Carr 27 This Book’s Position 27 The Arguments for Carr 27 The Arguments against Carr’s Position 28 Types of Information Systems 29 Transaction Processing Systems 29 Management Information Systems 30 Decision Support Systems 30 Knowledge-Based and Other Systems 30 Interorganizational Computing 30 Replacing Intermediation through Electronic Markets 31 Key Issues 32 Application and Technology Developments 34 Answers to Managerial Questions 35 Problems 36 Chapter 3 Electronic Commerce 37 Managerial Questions 37 Introduction 37 What is Involved in E-commerce? 39 Some E-commerce Statistics 39 Retail 40 Business to Business (B2B) 40 Technology 40 Benefits and Costs 41 Benefits 41 Costs 41 Business to Consumer (B2C) 43 Infrastructure 43 Electronic Retail Business Model 44 Information Transactions 45 Advertising 45 Impact on Retail Distribution 46 B2C in Service Industries 46 Cybermalls and Metamalls 47 Business to Business (B2B) 47 Structure of the E-marketplace 48 Electronic Data Interchange (EDI) 48 Moving to the Internet 48 Interorganizational Systems 48 Electronic Markets 50 Consumer to Consumer (C2C): The Case of Ebay 52 Consumer to Government (C2G): The Case of Wireless and 911 53 E-commerce Strategies 53 Conclusions 55 Answers to Managerial Questions 55 Problems 56 Chapter 4 Enterprise Requirements Planning 58 Managerial Questions 58 Introduction 58 How Sap Works 59 Cultural Problems of Implementation 61 ERP Vendors 62 Costs 62 Benefits 64 The Markus and Tanis View of the ERP Experience 64 Integration 65 Packages 65 Best Practices 65 Some Assembly Required 65 Reasons for Adopting or Not Adopting ERP 66 Adopting ERP 66 Not Adopting ERP 66 The ERP Team 67 The Future: ERP II 71 Final Thoughts 71 Answers to Managerial Questions 72 Problems 73 Chapter 5 Data Warehousing 74 Managerial Questions 74 Introduction 74 Definition of a Data Warehouse 75 Characteristics of a Data Warehouse 75 Subject Orientation 76 Data Integration 77 Time 78 Nonvolatile Data 78 Structure of the Data Warehouse 79 Metadata 80 Flow of Data 81 Why a Separate Warehouse? 81 Other Forms of Data Warehouses 82 Application: Online Analytic Processing 84 Application: Data Mining 86 Application: Customer Relationship Management 87 Application: Business Intelligence 88 Strategic Use 89 Managing the Data Warehouse 90 Why Warehouse Projects Can Fail 92 Data Warehousing Costs 93 The Data Warehousing Industry 94 Benefits and Problems 94 Answers to Managerial Questions 94 Problems 95 Chapter 6 Customer Relationship Management 96 Managerial Questions 96 Introduction 96 History of the CRM Market 97 The CRM Approach 99 Basic Assumptions of CRM 99 Customer 100 Relationship 100 Management 100 Drivers for CRM Applications 102 Revenue and Cost Goals 103 Principles of CRM 103 Technology and Service 104 Information Technologies for CRM 104 Key Tasks 104 IT Factors of CRM 105 Consultants 106 Return on Investment of Implementation 106 Cost and Time 106 Benefits 107 ROI of CRM Project 108 CRM Issues 109 Customer Privacy 109 Technical Immaturity 109 CRM Myths 110 The Importance of Channels 111 Vendors 111 Management Risks 112 Conclusions 115 Answers to Managerial Questions 115 Problems 115 Chapter 7 Knowledge Management 117 Managerial Questions 117 Introduction 117 Claims 118 Role of Information Technology 118 Principles of Knowledge Management 119 Knowledge Strategies 120 Leverage 120 Fragmentation, Leakage, Refreshment 120 Uncertain Value 120 Uncertainty in Value Sharing 121 Implications 121 Tacit Versus Explicit Knowledge 121 A Hierarchy of Knowledge 123 Generating Knowledge 123 Knowledge Acquisition 124 Dedicated Resources 125 Fusion 126 Adaptation 127 Networks 127 Transferring Knowledge 127 Personnel Issues 128 Km as an Industry 129 Technology 130 When Knowledge Management Makes Sense 134 Answers to Managerial Questions 135 Problems 136 Chapter 8 Business Intelligence 137 Managerial Questions 137 Introduction 137 Definition 137 Relation to other Software 138 What Can BI Do? 138 BI Technology 140 OLAP 144 Other Data Sources 147 Example: Competitive Intelligence 148 Example: Financial Analytics 150 Potential and Shortcomings 150 Return on Investment 151 Building a Business Intelligence System 152 The Business Intelligence Industry 153 Emerging Ideas in Business Intelligence 155 BI Everywhere 155 Business Process Management and Business Activity Monitoring 156 Answers to Managerial Questions 158 Problems 159 Chapter 9 Outsourcing and Its Variations: Letting Someone else Do the Work 161 Managerial Questions 161 Introduction 161 Origins of Outsourcing 162 Offshore Outsourcing 162 Outsourcing Considerations 164 A Typical Domestic Large Outsourcing Project 164 The Size of the Outsourcing Market 165 Why Outsource? 165 The Central Role of the Contract 166 Managing the Outsourcer Once the Contract Is Signed 167 Controls 169 Bottom Line on Outsourcing 170 Outsourcing the Infrastructure: Web Hosting Service Providers, Web Services, and Utility Computing 170 The Outsourcers 171 Web Hosting 171 Service Providers (xSPs) 171 Rationale 172 Should You Hire an xSP? 173 Web Services 173 Definition and Implication of Web Services 174 Running Computing as a Utility 176 Why Do It? 176 Implementing the Utility Approach 176 Stages of Utility Computing 176 Alternative Approaches 177 Risks of ASPs and Utilities 177 Answers to Managerial Issues 180 Problems 181 Chapter 10 Working Together: Systems Integration, Interorganizational Systems, Alliances, and Globalization 182 Managerial Questions 182 Introduction 182 Systems Integration 183 Definition 183 Objective 184 The Concept 184 Integrating the Enterprise 184 Integrating the Technology 185 Integration of Data, Application, and Processes 185 Aspects of Systems Integration 188 Enterprise Computing 188 Lessons Learned from Experience 189 The Systems Integration Industry 189 Management Strategy for Integration 190 Interorganizational Systems 191 Readiness 192 Control 192 Who Benefits? 194 Alliances 194 Globalization 194 Bringing in Immigrants, Moving Work Abroad 196 Privacy Rules and Transborder Data Flows 196 Answers to Managerial Questions 198 Problems 199 Chapter 11 Is in Managing Business Operations: the Supply Chain 200 Managerial Questions 200 Introduction 200 The Supply Chain 201 Software’s Role 202 Why Install Supply Chain Software? 203 Cooperation 203 Manufacturing 204 Overview 204 Cad 204 Cam 205 Just-in-Time Manufacturing 205 Inventory 206 Role of ERP 207 Role of Data Warehousing 207 Challenges to Implementation 208 Other Problems Along the Supply Chain 209 Demand Forecasting 209 What Is the Payoff From Information Systems In the Supply Chain? 210 Returns 213 The Supply Chain Market 213 Major Firms in the Supply Chain Market 214 Answers to Managerial Questions 215 Problems 215 Chapter 12 The Chief Information Officer, People Issues, Project Management, Change Management 216 Managerial Questions 216 Introduction 216 Chief Information Officer 217 Managing Expectations 217 Chief Technology Officer 218 Governance and Steering Committees 219 What Is People Need to Know 219 Create Programs 220 Manage Vendors and Outsourcers 220 Customize Programs to the Firm’s Needs 220 Know the Needs of the Business 220 Business Processes 220 Communicating with the User Community 221 Maintaining the Corporate Data 221 Maintaining Corporate Telecommunications 221 Integrating Systems 221 Managing E-mail and Internet Usage 222 Managing the Firm’s Web Presence 222 Managing Computer Security 222 Documentation, Updates, and Training 222 Maintaining and Running the Computers 223 Help Desk 223 Role of Educational Institutions 224 Project Management 224 The Project Manager 226 Change Management 227 Conclusions 229 Answers to Managerial Questions 229 Problems 230 Chapter 13 Information Systems in Mergers and Acquisitions 231 Managerial Questions 231 Introduction 231 Why Merge? 231 Effect of Merger on Information Systems 232 Merger Principles 233 The Merger Process 233 Security Issues 234 Cultural Considerations 235 Implications of Cases 237 Answers to Managerial Questions 237 Problems 238 Chapter 14 Work Systems and Infrastructure 239 Managerial Questions 239 Introduction 239 Work System 240 Infrastructure 241 What Is Infrastructure? 241 The Infrastructure Portfolio 243 Infrastructure Architecture 244 Infrastructure Investment Strategies 244 Making Infrastructure Investment Decisions 245 Infrastructure Capabilities 246 Work Systems 246 Fundamental Concepts of Work Systems 247 Relations among the Concepts 249 Technical Considerations for IS Work System Projects 253 Answers to Managerial Questions 254 Problems 255 Chapter 15 Privacy, Security, Copyright, Patents, and other Legal And Ethical Issues 256 Managerial Questions 256 Introduction 256 Privacy 257 Privacy Statements 258 Surveillance 259 Privacy versus Convenience 261 CRM, Data Warehousing, and Other Large Databases 261 Security 261 Controls 262 New Technologies 264 The Risk of Not Investing 264 Risk Management 264 HIPAA: the Intersection of Security and Privacy 265 Announcing Security Failures 266 Disaster Recovery and Business Continuity 266 An Example 267 Who Is Responsible? 267 The Threats 267 Some IT Measures 267 Some Lessons 268 Legal Issues 268 Privacy 269 Taxation of E-commerce 269 UCITA 270 Copyright and Patents 271 Copyright 271 Patents 272 Ethics 272 Answers to Managerial Questions 274 Appendix: the Computer Industry 277 Managerial Questions 277 Definition of the Information Industry 277 U.S. Census Bureau 278 Shapiro and Varian 278 Hoover’s Online 278 A Framework for Analyzing the Information Industry— The Houghton Map 279 Computer and Computer-related Segments 281 In-house Computer Shops 282 Employment 283 Outside Shops 285 Application Service Providers 285 Web Services 287 Outsourcers 287 Hardware Manufacturers 290 Retailers and Middlemen 291 Pricing and Maintenance 291 Open Source 292 Computing for Nonbusiness Applications 292 Telecommunications and Networks 292 Search Engines 293 New Technologies 293 Wi-Fi 294 RFID 294 Finding Out More About the Computer Industry and Computer Applications: the Computer Press and the Industry Observers 295 Conclusion 296 Answers to Managerial Questions 296 Glossary 299 Index 313

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Book SynopsisHave you been asked to perform an information systems audit and don't know where to start? Examine a company's hardware, software, and data organization and processing methods to ensure quality control and security with this easy, practical guide to auditing computer systems--the tools necessary to implement an effective IS audit.Table of ContentsPreface. Acknowledgments. PART ONE: CORE CONCEPTS. Chapter 1. Basics of Computing Systems. Chapter 2. Identifying Computer Systems. PART TWO: STANDARD INFORMATION SYSTEMS AUDIT APPROACH. Chapter 3. Information Systems Audit Program. Chapter 4. Information Systems Security Policies, Standards, and/or Guidelines. Chapter 5. Auditing Service Organization Applications. Chapter 6. Assessing the Financial Stability of Vendor Organizations, Examining Vendor Organization Contracts, and Examining Accounting Treatment of Computer Equipment and Software. Chapter 7. Physical Security. Chapter 8. Logical Security. Chapter 9. Information Systems Operations. PART THREE: CONTEMPORARY INFORMATION SYSTEMS AUDITING CONCEPTS. Chapter 10. Control Self-Assessment and an Application in an Information Systems Environment. Chapter 11. Encryption and Cryptography. Chapter 12. Computer Forensics. Chapter 13. Other Contemporary Information Systems Auditing Challenges. Chapter 14. Humanistic Aspects of Information Systems Auditing. Chapter 15. Information Systems Project Management Audits. Chapter 16. Conclusion. Appendix A: Professional Auditing Associations and Other Organizations Related to Information Systems Auditing and Computer Security. Appendix B: Common Criteria for Information Technology Security Evaluation. Appendix C: The International Organization for Standardization: Seven-Layer Open Systems Interconnection Reference Model. Selected References. Glossary. Index.

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Book SynopsisRussell Ackoff is a very special management thinker. As an architect, city planner, doctor of philosophy, behavioral scientist, trailblazer in the fields of organizational, operations, and systems theory, bestselling author, distinguished Wharton School professor, and head of his own management education and consulting firm, he qualifies, as do few others in this century, for the title of Renaissance Man. Fortunately, he makes up for this grievous shortcoming by also being an outrageously funny observer of homo commercium. Now, Ackoff''s Best offers you an opportunity to become acquainted with this irreverent genius who, over the past forty years, has done so much to shape our understanding of the modern business organization. Compiled by the author, Ackoff''s Best encapsulates the author''s most controversial, influential, and wittiest work to appear since the 1970s. Ackoff''s groundbreaking exploration of systems theory and its effect on business provides the backbonTrade Review"Russ Ackoff uses words that cut through the familiar and open doors in one's brain."-Arie de Geus, author of The Living CompanyTable of ContentsSYSTEMS. Our Changing Concept of the World. Reflections on Systems and Their Models. Growth versus Development. Toward a System of Systems Concepts. Beating the System. PLANNING. The Nature of Planning. Alternative Types of Planning. Problem Treatments. Mess Management. Ends Planning.@aMission Statements. Creativity and Constraints. APPLICATIONS. Consumer Design. Education.@aNever Let Your Schooling Interfere with Your Education. Crime. The Effect of Advertising on Sales: A Study of Relations. On Pairs and Trios: The Smallest Social Systems. Why People Drink: Toward Understanding Objectives. Corporate Perestroika: The Internal Market Economy. Design of Management Systems. SCIENCE. The Nature of Science and Methodology. Objectivity. Rationality. The Future of Operational Research Is Past. Epilogue: The Role of Business in a Democratic Society. Index.

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Book SynopsisThe complete guide to choosing and using GIS in business Over the last few years, Geographical Information Systems (GIS)have become less expensive and easier to use, and the tremendouspotential of GIS to boost business productivity is finally beingrealized. Incorporating the latest developments in GIS technologyand applications, this book explores what GIS has to offercompanies in many different areas of industry today and how it canbe successfully integrated into existing business operations. Building on the success of its predecessor, this Second Editioncovers every key aspect of using GIS in business. It explains whatGIS is and helps readers gain a clear understanding of the costsand benefits of moving to a GIS. New case studies from both themanufacturing and service sectors illustrate how GIS can supporttactical and strategic business decision-making, and the book''sunbiased coverage of commercially available GIS software isinvaluable for anyone involved in selectTrade Review"...a useful introduction to GIS in business for those who have not yet convinced management of its importance..." (GI News, July 2000)Table of ContentsUsing Geographical Knowledge in Business. THE MANAGEMENT OF GEOGRAPHICAL INFORMATION. What Is a Geographical Information System? GIS and Information Strategies. The Nature of Geographical Data. THE ORGANIZATIONAL CHALLENGE. GIS for Decision Support. Making the Business Case for Investment in GIS. Implementation of the GIS Project. USING GEOGRAPHICAL INFORMATION IN BUSINESS. Application Capabilities. Operational Applications. Tactical Operations. Strategic Applications. CONCLUSION. An Integrated Part of the Business. Index.

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Book SynopsisTargeted for junior/senior/grad level students majoring in Information Systems, Enterprise Integration combines the basic concepts of integrated systems with practical experience and their use in a business environment. Understanding integration requires an understanding of the business processes within a firm and between a firm and its external business partners. The book will help students understand conceptually how linkages form between business processes and how these linkages are supported by ERP systems. Case studies are included throughout to provide a balance of theory and practice.Table of ContentsForeword vii Preface ix Part One: An Introduction To Enterprise Systems 1. Information Systems, Organizations, and Integration 3 2. Silos, Mousetraps, and Islands: A Chronicle of Information Systems in Organizations 13 3. The Challenge of Integration 37 Part Two: A New Environment For Enterprise Systems 4. Let's Get Horizontal: Toward a Process View of Organization 51 5. The Relentless Distribution of Information Technology 67 6. Data at the Core of the Enterprise 87 7. The Architecture of an Enterprise System 121 Part Three: Building Enterprise Systems 8. Planning for Enterprise Systems 137 9. The Design of Enterprise Systems 153 10. Realizing and Operating Enterprise Systems 173 11. People in Enterprise Systems 189 Part Four: Extending Enterprise Systems 12. Integrating Backward: Extending the Supply Chain 203 13. Integrating Forward: Meeting Demand and Managing Customers 223 14. Integrating Upward: Supporting Managers and Executives 241 Glossary 255 Index 267

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Book SynopsisThis is an examination of the applications of Bayesian statistical theory to real-life business problems of decision under conditions of uncertainty.Table of ContentsEXPERIMENTATION AND DECISION: GENERAL THEORY. The Problem and the Two Basic Modes of Analysis. Sufficient Statistics and Noninformative Stopping. Conjugate Prior Distributions. EXTENSIVE-FORM ANALYSIS WHEN SAMPLING AND TERMINAL UTILITIES ARE ADDITIVE. Additive Utility, Opportunity Loss, and the Value of Information: Introduction to Part II. Linear Terminal Analysis. Selection of the Best of Several Processes. Problems in Which the Act and State Spaces Coincide. DISTRIBUTION THEORY. Univariate Normalized Mass and Density Functions. Multivariate Normalized Density Functions. Bernoulli Process. Poisson Process. Independent Normal Process. Independent Multinormal Process. Normal Regression Process.

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Book SynopsisFull of valuable tips, techniques, illustrative real-world examples, exhibits, and best practices, this handy and concise paperback will help you stay up to date on the newest thinking, strategies, developments, and technologies in licensing intellectual property. Order your copy today!.Trade Review"...well laid out, with goals set out in each chapter." (Management Today, July 2007) Table of ContentsForeword. Preface. 1. Introduction. 2. Basic Contract Law. 3. Intellectual Property Primer. 4. Licensing Strategies: The Carrot and the Stick. 5. Patent Licenses. 6. Know-how and Trade Secret Licenses. 7. Trademark Licenses. 8. Copyright Licenses. 9. Royalties and Royalty Rates. 10. Policing and Enforcement of Licenses. 11. Negotiating the Deal. Appendices. A. Checklist of Patent License Terms. B. Royalty Rates by Industry. C. Confidentiality and Nondisclosure Agreement. D. Trademark License Agreement. E. Patent License Agreement (Paid-Up). F. Patent License Agreement (Running Royalty). G. Software (End User) License Agreement. H. Copyright License Agreement. I. Technology License Agreement. J. Georgia-Pacific Factors. K. Agreement to Negotiate a License. Epilogue. Further Reading. Index.

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Book Synopsis Discusses all types of corporate risks and practical means of defending against them. Security is currently identified as a critical area of Information Technology management by a majority of government, commercial, and industrial organizations. Offers an effective risk management program, which is the most critical function of an information security program. Trade Review"Throughout, practical examples are included from various healthcare, manufacturing, and retail industries that demonstrate key concepts, implementation guidance to get started, as well as tables of risk indicators and metrics, physical structure diagrams, and graphs". (PR-Inside.com, 29 March 2011)Table of ContentsPreface xiii About the Authors xv Part I Industry Practices in Risk Management 1 1. Information Security Risk Management Imperatives and Opportunities 3 1.1 Risk Management Purpose and Scope 3 1.1.1 Purpose of Risk Management 3 1.1.2 Text Scope 17 References 24 Appendix 1A: Bibliography of Related Literature 25 2. Information Security Risk Management Defined 33 2.1 Key Risk Management Definitions 33 2.1.1 Survey of Industry Definitions 33 2.1.2 Adopted Definitions 37 2.2 A Mathematical Formulation of Risk 40 2.2.1 What is Risk? A Formal Definition 44 2.2.2 Risk in IT Environments 44 2.2.3 Risk Management Procedures 49 2.3 Typical Threats/Risk Events 56 2.4 What is an Enterprise Architecture? 61 References 65 Appendix 2A: The CISSPforum/ISO27k Implementers Forum Information Security Risk List for 2008 66 Appendix 2B: What is Enterprise Risk Management (ERM)? 71 3. Information Security Risk Management Standards 73 3.1 ISO/IEC 13335 77 3.2 ISO/IEC 17799 (ISO/IEC 27002:2005) 78 3.3 ISO/IEC 27000 SERIES 78 3.3.1 ISO/IEC 27000, Information Technology—Security Techniques—Information Security Management Systems—Fundamentals and Vocabulary 79 3.3.2 ISO/IEC 27001:2005, Information Technology—Security Techniques—Specification for an Information Security Management System 79 3.3.3 ISO/IEC 27002:2005, Information Technology—Security Techniques—Code of Practice for Information Security Management 84 3.3.4 ISO/IEC 27003 Information Technology—Security Techniques—Information Security Management System Implementation Guidance 90 3.3.5 ISO/IEC 27004 Information Technology—Security Techniques—Information Security Management—Measurement 91 3.3.6 ISO/IEC 27005:2008 Information Technology—Security Techniques—Information Security Risk Management 92 3.4 ISO/IEC 31000 92 3.5 NIST STANDARDS 94 3.5.1 NIST SP 800-16 96 3.5.2 NIST SP 800-30 99 3.5.3 NIST SP 800-39 101 3.6 AS/NZS 4360 105 References 106 Appendix 3A: Organization for Economic CoOperation and Development (OECD) Guidelines for the Security of Information Systems and Networks: Toward a Culture of Security 107 4. A Survey of Available Information Security Risk Management Methods and Tools 111 4.1 Overview 111 4.2 Risk Management/Risk Analysis Methods 114 4.2.1 Austrian IT Security Handbook 114 4.2.2 CCTA Risk Assessment and Management Methodology (CRAMM) 115 4.2.3 Dutch A&K Analysis 117 4.2.4 EBIOS 117 4.2.5 ETSI Threat Vulnerability and Risk Analysis (TVRA) Method 119 4.2.6 FAIR (Factor Analysis of Information Risk) 122 4.2.7 FIRM (Fundamental Information Risk Management) 124 4.2.8 FMEA (Failure Modes and Effects Analysis) 125 4.2.9 FRAP (Facilitated Risk Assessment Process) 128 4.2.10 ISAMM (Information Security Assessment and Monitoring Method) 129 4.2.11 ISO/IEC Baselines 130 4.2.12 ISO 31000 Methodology 130 4.2.13 IT-Grundschutz (IT Baseline Protection Manual) 136 4.2.14 MAGERIT (Metodologia de Analisis y Gestion de Riesgos de los Sistemas de Informacion) (Methodology for Information Systems Risk Analysis and Management) 137 4.2.15 MEHARI (Méthode Harmonisée d’Analyse de Risques—Harmonised Risk Analysis Method) 142 4.2.16 Microsoft’s Security Risk Management Guide 146 4.2.17 MIGRA (Metodologia Integrata per la Gestione del Rischio Aziendale) 152 4.2.18 NIST 153 4.2.19 National Security Agency (NSA) IAM / IEM / IA-CMM 153 4.2.20 Open Source Approach 155 4.2.21 PTA (Practical Threat Analysis) 158 4.2.22 SOMAP (Security Officers Management and Analysis Project) 160 4.2.23 Summary 161 References 162 5. Methodologies Examples: Cobit and Octave 164 5.1 Overview 164 5.2 COBIT 166 5.2.1 COBIT Framework 172 5.2.2 The Need for a Control Framework for IT Governance 173 5.2.3 How COBIT Meets the Need 175 5.2.4 COBIT’s Information Criteria 175 5.2.5 Business Goals and IT Goals 176 5.2.6 COBIT Framework 177 5.2.7 IT Resources 178 5.2.8 Plan and Organize (PO) 180 5.2.9 Acquire and Implement (AI) 180 5.2.10 Deliver and Support (DS) 180 5.2.11 Monitor and Evaluate (ME) 181 5.2.12 Processes Need Controls 181 5.2.13 COBIT Framework 181 5.2.14 Business and IT Controls 184 5.2.15 IT General Controls and Application Controls 185 5.2.16 Maturity Models 187 5.2.17 Performance Measurement 194 5.3 OCTAVE 205 5.3.1 The OCTAVE Approach 205 5.3.2 The OCTAVE Method 208 References 210 Part II Developing Risk Management Teams 211 6. Risk Management Issues and Organization Specifics 213 6.1 Purpose and Scope 213 6.2 Risk Management Policies 216 6.3 A Snapshot of Risk Management in the Corporate World 219 6.3.1 Motivations for Risk Management 224 6.3.2 Justifying Risk Management Financially 225 6.3.3 The Human Factors 230 6.3.4 Priority-Oriented Rational Approach 232 6.4 Overview of Pragmatic Risk Management Process 234 6.4.1 Creation of a Risk Management Team, and Adoption of Methodologies 234 6.4.2 Iterative Procedure for Ongoing Risk Management 236 6.5 Roadmap to Pragmatic Risk Management 236 References 239 Appendix 6A: Example of a Security Policy 239 7. Assessing Organization and Establishing Risk Management Scope 243 7.1 Assessing the Current Enterprise Environment 244 7.2 Soliciting Support From Senior Management 248 7.3 Establishing Risk Management Scope and Boundaries 259 7.4 Defining Acceptable Risk for Enterprise 260 7.5 Risk Management Committee 263 7.6 Organization-Specific Risk Methodology 264 7.6.1 Quantitative Methods 265 7.6.2 Qualitative Methods 267 7.6.3 Other Approaches 269 7.7 Risk Waivers Programs 272 References 274 Appendix 7A: Summary of Applicable Legislation 275 8. Identifying Resources and Implementing the Risk Management Team 280 8.1 Operating Costs to Support Risk Management and Staffing Requirements 281 8.2 Organizational Models 286 8.3 Staffing Requirements 287 8.3.1 Specialized Skills Required 290 8.3.2 Sourcing Options 291 8.4 Risk Management Tools 295 8.5 Risk Management Services 296 8.5.1 Alerting and Analysis Services 296 8.5.2 Assessments, Audits, and Project Consulting 296 8.6 Developing and Implementing the Risk Management/Assessment Team 298 8.6.1 Creating Security Standards 298 8.6.2 Defining Subject Matter Experts 300 8.6.3 Determining Information Sources 300 References 301 Appendix 8A: Sizing Example for Risk Management Team 302 Appendix 8B: Example of Vulnerability Alerts by Vendors and CERT 331 Appendix 8C: Examples of Data Losses—A One-Month Snapshot 336 9. Identifying Assets and Organization Risk Exposures 338 9.1 Importance of Asset Identification and Management 338 9.2 Enterprise Architecture 340 9.3 Identifying IT Assets 346 9.4 Assigning Value to IT Assets 353 9.5 Vulnerability Identification/Classification 354 9.5.1 Base Parameters 360 9.5.2 Temporal Parameters 362 9.5.3 Environmental Parameters 363 9.6 Threat Analysis: Type of Risk Exposures 367 9.6.1 Type of Risk Exposures 368 9.6.2 Internal Team Programs (to Uncover Risk Exposures) 371 9.7 Summary 371 References 371 Appendix 9A: Common Information Systems Assets 372 10. Remediation Planning and Compliance Reporting 377 10.1 Determining Risk Value 377 10.2 Remediation Approaches 380 10.3 Prioritizing Remediations 384 10.4 Determining Mitigating Timeframes 385 10.5 Compliance Monitoring and Security Metrics 387 10.6 Compliance Reporting 390 References 391 Basic Glossary of Terms Used in This Text 392 Index 415

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Book SynopsisConceptual model building is accepted as a key phase in Soft Systems Methodology. Despite the recognition of the importance of the SSM, students are still experiencing difficulty with the basic process of conceptual model building. This book addresses that issue.Table of ContentsForeword by Mike Duffy. Preface. Preamble. Models and Methodology. Basic Principles of HAS Modelling. Selection of Relevant Systems. Business Process Re-engineering. The Consensus Primary Task Model. CPTMFormulation Using Wider-system Extraction. CPTMAssembly Using the Enterprise Model. Application to Training Strategy and HR. Generic Model Building. Conclusions. Appendix 1: The Albion Case. Appendix 2: Exercises. Appendix 3: The Development of the United Kingdom's Single Army Activity Model and Associated Information Needs and its Relationship to Command and Control. Appendix 4: An Overview of Soft Systems Methodology. Appendix 5: Example of Applying Information Analysis Method to Airspace Control Function. Appendix 6: Examples of Product to Information Category Mapping. References. Index.

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Book SynopsisThis book is about helping managers and decision makers to choose and use the most appropriate problem solving approaches available for managing the complexity and diversity of the difficulties that they face. By describing and analysing a range of different approaches, it investigates the strengths and weaknesses of each and provides its own approach for the complementary and integrated use of different system methodologies.Table of ContentsThe Nature of Systems Thinking. A System of Systems Methodologies. The Logic and Process of Total Systems Intervention (TSI). System Dynamics (SD). Viable System Diagnosis (VSD). Strategic Assumption Surfacing and Testing (SAST). Interactive Planning (IP). Soft Systems Methodology (SSM). Critical Systems Heuristics (CSH). Total Systems Intervention (TSI) Revisited. Index.

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Book SynopsisIncluding contributions from leading experts in the field, this book covers applications and developments of heuristic search methods for solving complex optimization problems. The book covers various local search strategies including genetic algorithms, simulated annealing, tabu search and hybrids thereof.Table of ContentsPartial table of contents: Modern Heuristic Techniques. TECHNIQUES. Localized Simulated Annealing in Constraint Satisfaction andOptimization. Observing Logical Interdependencies in Tabu Search: Methods andResults. Reactive Search: Toward Self-Tuning Heuristics. Integrating Local Search into Genetic Algorithms. CASE STUDIES. Local Search for Steiner Trees in Graphs. Local Search Strategies for the Vehicle Fleet Mix Problem. A Tabu Search Algorithm for Some Discrete-Continuous SchedulingProblems. The Analysis of Waste Flow Data from Multi-Unit IndustrialComplexes Using Genetic Algorithms. The Evolution of Solid Object Designs Using GeneticAlgorithms. The Convoy Movement Problem with Initial Delays. A Brief Comparison of Some Evolutionary Optimization Methods. Index.

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Book SynopsisAdvanced Credit Analysis presents the latest and most advanced modelling techniques in the theory and practice of credit risk pricing and management. The book stresses the logic of theoretical models from the structural and the reduced-form kind, their applications and extensions. It shows the mathematical models that help determine optimal collateralisation and marking-to-market policies. It looks at modern credit risk management tools and the current structuring techniques available with credit derivatives.Trade Review"... an ambitious, well-researched book with probably the most comprehensive review of the credit-risk-modelling literature.... I eagerly await the next edition." (Quantitative Finance, March 2001)Table of ContentsAcknowledgements. Introduction. CREDIT RISK PRICING. Introduction to Modern Credit Risk Pricing. Merton's Approach: The Intuition Behind Structural Models. Subsequent Financial Engineering. Stochastic Interest Rates and Credit Risk. Advanced Considerations on Bankruptcy Endogeneity. Reduced-Form/Mixed Approaches. CREDIT RISK OF DERIVATIVES. Swap Credit Risk Pricing. Credit Risk in Options: Vulnerable Options. THEORETICAL WRAP-UP AND EMPIRICAL EVIDENCE. Introduction. Literature Wrap-Up. Empirical Evidence. A PROPOSITION FOR A STRUCTURAL MODEL. Introduction. The Pricing Model. Comparative Statics. The Practical Implementation and Final Issues. COLLATERALIZATION, MARKING-TO-MARKET, AND THEIR IMPACT ON CREDIT RISK. Introduction. A Structural Methodology for Haircut Determination and the Pricing of Credit Risk with Risky Collateral. Credit Risk Collateral Control as an Impulse Control Problem. MANAGEMENT OF CREDIT RISK. Advanced Management Tools. Financial Structuring with Credit Derivatives. Appendix A: Itô's Lemma. Appendix B: A Review of Interest Rate Models. General Bibliography. Index.

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Book SynopsisA comprehensive introduction to modern auction theory and its applications. Aimed at graduate students and professionals in economics, the book gives the most up-to-date treatments of both traditional theories of 'optimal auctions' and newer theories of multi-unit auctions and package auctions, and shows by example how these theories are used.Trade Review'Paul Milgrom has combined fundamental work in economic theory and, in particular, the theory of auctions, with extensive practical participation in the auctions of the electromagnetic spectrum. This book is a brilliant synthesis of his own and others' contributions to the field. The impact of practical problems on the need for theory is thoroughly exemplified. The exposition of the theory has that complete ease only achievable through complete mastery and intense work.' Kenneth Arrow, Nobel Laureate, Stanford University'One of the recent revolutions in economics is an understanding that markets do not automatically work well. Design matters, and the Federal communications commission spectrum auction design that Milgrom pioneered kicked off a new era of market design using economic theory to make real markets work better. Now Milgrom makes the underlying ideas and theories more widely accessible - so other markets too will reap the benefits of these insights.' Joseph Stiglitz, Nobel Laureate, Columbia University'Whether you are an expert on auction theory or just a novice curious about how auction theory works, you will be in for a marvelous journey. There's no one better at capturing the essence and generality of economic ideas than Paul Milgrom. He's a master in a class of his own.' Bengt Holmstrom, Massachusetts Institute of Technology'Milgrom's ideas were critical to helping the FCC design its multi-billion dollar spectrum auctions. His thoughtful economic reasoning and attention to practical detail made the auctions successful. Whether you are seeking careful theorizing or practical insights, Milgrom's work is the first place to look.' Reed Hundt, Former Chair, Federal Communications Commission'In Paul Milgrom's hands, auction theory has become the great culmination of game theory and economics of information. Here elegant mathematics meets practical applications and yields deep insights into the general theory of markets. Milgrom's book will be the definitive reference in auction theory for decades to come.' Roger Myerson, University of Chicago'Market design is one of the most exciting developments in contemporary economics and game theory, and who can resist a master class from one of the giants of the field?' Al Roth, Harvard University'Paul Milgrom is universally acclaimed as one of the outstanding economic theorists of our generation. He has turned auction theory into the crucial tool for modern market design. His book will be an essential resource for theorists and practitioners alike.' Paul Klemperer, University of Oxford'No one is better qualified than Paul Milgrom to give an up-to-date and lucid guide to the accomplishments of auction theory. Both rigorous and enjoyable to read, this exciting book is a must for graduate students and auction designers.' Jean Tirole, Institut d'Economie Industrielle, Toulouse, France'I recommend this book to all graduate or advanced graduate students and researchers with an interest in auction theory. It is a must for auction designers. it is only a matter of time before Milgrom's book becomes part of the standard toolkit for both theorists and practioners alike. Jean Tirole is right when he says that no one is better qualified than Paul Milgrom to give an up-to-date and lucid journey through the fascinating landscape of auction theory.' De EconomistTable of ContentsSection 1. Getting to Work: 1. Politics sets the stage; 2. Designing for multiple goals; 3. Comparing seller revenues; 4. The academic critics; 5. Plan for this book; Part I. The Mechanism Design Approach; Section 2. Vickrey–Clarke–Groves Mechanisms: 6. Formulation; 7. Always optimal and weakly dominant strategies; 8. Balancing the budget; 9. Uniqueness; 10. Disadvantages of the Vickrey auction; 11. Conclusion; Section 3. The Envelope Theorem and Payoff Equivalence: 12. Hottelling's lemma; 13. The envelope theorem in integral form; 14. Quasi-linear payoffs; 15. Conclusion; Section 4. Bidding Equilibrium and Revenue Differences: 16. The single crossing conditions; 17. Deriving and verifying equilibrium strategies; 18. Revenue comparisons in the benchmark model; 19. Expected-revenue maximizing auctions; 20. Conclusion; Section 5. Interdependence of Types and Values: 21. Which models and assumptions are 'useful'?; 22. Statistical dependence and revenue-maximizing auctions; 23. Wilson's drainage tract model; 24. Correlated types model interdependent values; 25. Conclusion; Section 6. Auctions in Context: 26. The profit and surplus contribution of an entrant; 27. Symmetric models with costly entry; 28. Asymmetric models: devices to promote competition; 29. After the bidding ends; 30. Conclusion; Part II. Multi-Unit Auctions; Section 7. Uniform Price Auctions: 31. Uniform price sealed bid auctions; 32. Simultaneous ascending auctions; 33. Conclusion; Section 8. Package Auctions and Combinatorial Bidding: 34. Vickrey auctions and the monotonicity problems; 35. Bernheim–Whinston first-price package auctions; 36. Ausubel–Milgrom ascending proxy auctions; 37. Conclusion.

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Book SynopsisEnterprise resource planning systems can provide the foundation for a wide range of e-commerce based processes including web-based ordering and order tracing, inventory management, and built-to-order goods. This book examines the pros and cons of ERP systems, explains how they work, and highlights their role at the heart of e-commerce.Trade Review'The chapters are well written, with objectives, figures, and clear divisions into sections … I highly recommend it.' Brad Reid, Computing Reviews'The book is divided into four parts: introduction and background, ERP systems, the ERP life cycle, and electronic commerce and risk. It contains case studies, references, chapter questions, and a complete index. the chapters are well written, with objectives, figures, and clear divisions into sections. The book does not contain canned answers, but carefully walks readers through thinking about ERP systems. I highly recommend it.' Brad Reid, Computing MilieuxTable of Contents1. Introduction; 2. Systems and technology background; 3. ERP systems background; 4. ERP data input; 5. ERP output capabilities; 6. Technology-enabled vs clean sheet re-engineering; 7. Deciding to go ERP; 8. Choosing an ERP system; 9. Designing ERP systems - should business processes or ERP software be changed?; 10. Designing ERP systems - choosing standard models, artifacts and processes for ERP systems; 11. Implementing - big bang vs phased; 12. After going live; 13. Training; 14. Electronic commerce; 15. Risk.

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Book SynopsisFor private business owners, managing a successful exit from their business is one of the most important events in their business lives. This book shows you how to do so with the minimum of fuss and maximum return. It is unique because the author writes from the owner''s point of view, bringing together in one place all you need to know about planning this complex process. Exit Strategy Planning emphasises the need to place exit planning on a firm foundation, with taxation planning and business continuity planning providing the basis to ensure a smooth transition that will yield the maximum return. The first three parts of the book (''Laying the Foundations'', ''Choosing your Exit Strategy'' and ''Preparing and Implementing your Plans'') present a best practice approach to this complex subject. Here the book highlights the importance of planning, often several years in advance, and explains the need to make the business ''investor ready'' by identifying and removing impediments toTrade Review'A book worth recommending to those clients who may be looking to make a few New Year business resolutions.' Business Adviser 'This is an admirable text, which covers every aspect of planning and implementing a successful exit from a privately owned business...It is written clearly and directly, with well set out guidance to all technical issues...highly recommended.' Change Management Monitor Website 'practical and easy to digest...it does provide a useful platform to help develop your exit tactics.' Financial Adviser '...the book will be valuable to many levels of student for a variety of reasons. All postgraduates and undergraduates of business strategy will be challenged to consider the ultimate motivation of the entrepreneur. Business life cycles are presented from an unusual perspective and all readers will appreciate the complexity of effective fiscal planning. Higher National Diploma students will benefit from easy to read sections on business planning and be able to see, in a practical way, how business structures, accountancy and law need to be full integrated. Business entrepreneurs, who have concentrated on building the business revenue and have not yet tailored a planned capital exit strategy, will also come to recognize this need ...' Journal of Contemporary Hospitality Management. Vol 16 no.1 2004 "...if you're thinking of selling up, you can't afford to be without it." Better BusinessTable of ContentsContents: Introduction: The story of Bill and Carol. Part 1: Laying the Foundations: The importance of time and timing; How to plan for the continuity of your business; Establishing the value of your business. Part 2: Choosing Your Exit Strategy: What are the exit options for your business?; How to choose the best exit strategy; Impediments to sale. Part 3: Preparing and Implementing Your Plans: Business planning - the essential elements; Short-term exit strategy planning; How to design your master exit strategy plan; The integrated financial plan; Putting your master exit strategy plan into action. Part 4: Appendices: What about tax?; Valuation principles and methods; Agents and franchisees; Family succession planning; Management buyouts and buy-ins; Flotation or public listing; Franchising or licensing; Trade sales; The sole trader merger; Ceasing to trade. Index.

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Book SynopsisTony Plummer is a director of Helmsman Economics Ltd, and is a former director of Guinness Flight Hambro Global Fund Managers Ltd, Hambros Fund Management PLC, and Hambros Bank Ltd. He carries out independent research into the patterns and rhythms of global markets as well as giving global lectures on crowd psychology and technical analysis.Trade Review"This book will entertain and intrigue keen investors." Financial Times "As clear cut and easy-to-read an introduction as one could want." The IndependentTable of Contents Chapter - 00: Introduction; Section - ONE: The logic of non-rational behaviour in financial markets; Chapter - 01: Wholly individual or indivisibly whole; Chapter - 02: Two’s a crowd; Chapter - 03: The individual in the crowd; Chapter - 04: The systems approach to crowd behaviour; Chapter - 05: Cycles in the crowd; Chapter - 06: Approaches to forecasting crowd behaviour; Section - TWO: The dynamics of the bull–bear cycle; Chapter - 07: The stock market crowd; Chapter - 08: The shape of the bull–bear cycle; Chapter - 09: Energy gaps and pro-trend shocks; Chapter - 10: The spiral and the golden ratio; Chapter - 11: The mathematical basis of price movements; Chapter - 12: The shape of things to come; Section - THREE: Forecasting turning points; Chapter - 13: The phenomenon of cycles; Chapter - 14: The threefold nature of cycles; Chapter - 15: Economic cycles; Chapter - 16: Recurrence in economic and financial activity; Chapter - 17: Integrating the cycles; Chapter - 18: Forecasting with cycles; Chapter - 19: Price patterns in financial markets; Chapter - 20: The Elliott wave principle; Chapter - 21: Information shocks and corrections; Chapter - 22: The confirmation of buy and sell signals; Section - FOUR: The psychology of trading; Chapter - 23: The psychology of fear; Chapter - 24: The troubled trader; Chapter - 25: The psychology of success; Chapter - 26: Summary and conclusions

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Book SynopsisContemporary law and government are increasingly characterized by a focus on risk. Fields such as health, psychiatry, criminal justice, vehicle safety, urban design and environmental governance all provide examples of settings in which problems are dealt with as risks. While risk has become more prominent, there have also been changes in the nature of risk techniques deployed. Whereas welfare states provided many services through socialized risk - such as social insurances covering health, employment and old age - increasing emphasis is now placed on individual risk management arrangements such as private insurance. In this environment, the positive side of risk has also been made more salient. Enterprise, innovation and risk-taking have become qualities valued, or even required, of current governance. In this volume, the most influential examinations and interpretations of this major trend have been brought together, in order to make clear the range and diversity, the spread and penetration of risk in contemporary societies.Table of ContentsContents: Series preface; Introduction. Risk, Politics and Inequality: Risks and rights in the history of American governments, Theodore J. Lowi ; At risk in the welfare state, Deborah A. Stone; Liberal governance and prenatal care: risk and regulation in pregnancy, Lealle Ruhl ; The ideological effects of actuarial practices, Jonathan Simon. Risk, Private Law and Justice: Social change and the law of industrial accidents, Lawrence M. Friedman and Jack Ladinsky); Private insurance, social insurance, and tort reform: toward a new vision of compensation for illness and injury, Kenneth S. Abraham and Lance Liebman; The new legal structure of risk control, George L. Priest; Tort, insurance and ideology, Jane Stapleton. Risk, Criminal Law and Justice: Risk, power and crime prevention, Pat O'Malley; Managing the monstrous: sex offenders and the new penology, Jonathan Simon; Moral agent or actuarial subject: risk and Canadian women's imprisonment, Kelly Hannah-Moffat; Public protection, 'partnership' and risk penalty, Hazel Kemshall and Mike Maguire. Risk, Uncertainty and Economic Life: Uncertain subjects: risks liberalism and contract, Pat O'Malley; Business, state and community: 'responsible risk takers', new labour and the governance of corporate business, Gary Wilson; Calculations of risk: towards an understanding of insurance as a moral and political technology, D. Knights and T. Vurdubakis; Speculations of contract, or how contract law stopped worrying and learned to love risk, Roy Kreitner. Risk, Health and Technology: Governing risky individuals: the role of psychiatry in new regimes of control, Nikolas Rose; The biology of culpability, pathological identity and crime control in a biological culture, Nikolas Rose; The return of the crafty genius: an outline of a philosophy of precaution, François Ewald ; Name index.

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Book Synopsis`The book provides a valuable resource for researchers, practitioners and policy-makers... In particular, it provides a good introduction to broader aspects of the field of innovation for researchers based within the engineering and science traditions' - Journal of Manufacturing Technology Management`Howells has synthesised a broad range of sources with considerable insight to provide the first sophisticated single volume on innovation that draws on economics, sociology, law and from the history of science and technology. By setting innovation in social and institutional context, he convincingly shows how firms and markets shape and can be shaped by the decisions of managers and entrepreneurs. I will certainly be using this book as a central text for my Masters degree teaching on innovation management, management of technology and related topics' - Jonathan Liebenau, London School of Economics and Columbia University`A great strenTable of ContentsTechnological Innovation Invention, Science, R&D and Concepts of Use and Market Patterns in Technological Development and the Creation of Technological Standards Competition and Innovation as Substitution Threat Intellectual Property Law and Innovation Finance - Techniques, Institutions and Innovation Innovation and the Organisation of Technical Expertise and Work The State and the Management of Technology

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Book SynopsisSeeks to provide a theoretical foundation and linkage between financial and managerial accounting. After providing the theoretical foundation for information asymmetry in the first three sections, this monograph emphasises on case studies.

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Book SynopsisIT solutions from the leading edge Information technology promises much but, as many businesses arefinding, it often fails to deliver. Representing the new wave ofthinking about I.T., this thought-provoking collection assemblesleading researchers from four continents, including Dan Robey,Robert Zmud, Claudio Ciborra and Robert Benjamin. Writing with deepknowledge of both I.T. and business, they persuasively argue forthe integration of the core business unit and the I.T. function,advocate a new role for I.T. professionals, stress the importanceof managing outcomes rather than process, and provide practicalguidelines for turning new ideas into new management practices.Trade Review"An important book for those executives looking to transition theirorganizations into the 21st Century...especially those users andproviders of information technology services. The IT-basedtransformation is the wave of the next millennium." --Carl C.Williams, Vice President of Information Technology, AmocoCorporation "Fresh approaches to some of the most vexing issues facingorganizations today....A powerful argument for a new view of therole of information technology within the business organization ofthe future." --Michael Vitale, Professor and Head, Dept. ofInformation Systems, University of Melbourne and former VicePresident, Information Technology and Corporate Services,Prudential Insurance (1988-92) "[Steps to the Future] helps us approach the impAnding third waveof major social change since farming and the industrial revolution-- namely IT&T. Not only are the difficulties and risks offailure analyzed, but ideas for new methods of organizationalapproach and finding new success parameters are documented toensure that we move toward this change with enthusiasm and hope."--Steve Burdon, Managing Director, British Telecommunications, AsiaPacific "Executives who adopt the new ideas advanced in this book willunderstand why IT must be an integral part of their organizationand how to act decisively to capture maximum business value fromit." --Neville J. Roach, Managing Director, Fujitsu AustraliaLtd. Endorsement from Tim Besley to come. Ask Nathalie to have itemailed to her. --Tim Besley, Chairman, Commonwealth Bank ofAustraliaTable of ContentsPreface. The Authors. 1. The Right Stuff: An Introduction to New Thinking About ITManagement. (Christopher Sauer, Phillp W. Yetton) Part One: The Traditional Solutions 2. False Prophecies, Successful Practice, and Future Directions inIT Management. (Phillp W. Yetton) 3. A Professional Balancing Act: Walking the Tightrope of StrategicAlignment. (Janice M. Burn) 4. The Pathology of Strategic Alignment. (Christopher Sauer, JaniceM. Burn) Part Two: Competencies of IT-Enabled Organizational Change. 5. IT-Enabled Organizational Change: New Developments of ITSpecialists. (M. Lynne Markus, Robert Benjamin) 6. At the Heart of Success: Organizationwide ManagementCompetencies. (V. Sambamurthy, Robert W. Zmund) Part Three: Process Change. 7. Against Obliteration: Reducing Risk in Business Process Change.(Robert D. Galliers) 8. The Real Event of Reengineering. (Jane Craig, Phillp W.Yetton) Part Four: New Interpretations. 9. The Paradoxes of Transformation. (Daniel Robey) 10. Joint Outcomes: The Coproduction of IT and OrganizationalChange. (Rod Coombs) 11. Improvising in the Shapeless Organization of the Future.(Claudio U. Ciborra) 12. The Paths Ahead. (Christopher Sauer, Phillp W. Yetton) Index.

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Book SynopsisThe idea of Self and the authenticity of particular identities have been rapidly dissolving in the acids of post-modern globalising capitalism. The hegemony of patterns of work, wage-labor and the operation of labour markets in the American West (and European North) has ridden rough-shod over distinctive ways of enabling communities to flourish in many parts of the Southern and Eastern worlds (Global South). But, this is not inevitable. Indeed, as this book indicates, there are many practical examples across the globe â that connect with some of the most significant theoretical challenges to the operation of dehumanising work â which reveal that a profound reversal is taking place. As such, the core theme of this book is to show that a movement is occurring whereby self-employment can be transformed into communal work that employs the Self in ways that release the authentic vocations of people, individually and collectively.The approach taken in these chapters traverses the gTable of ContentsPART I Introducing evolving work: employing self and community 1. Centring: releasing GENE-IUS: integrity at work PART II South: employing the community 2. Chinyika: grounding local people: communal identity to communal upskilling 3. Civil economy: gift relationship to emancipatory work 4. Relational sociology: collaborative platforms to humane working 5. Employing community: communal confederalism to women’s communes PART III East: employing the self 6. The noetics of nature: self realisation to divine trade 7. Economics of the household: home working to partner with others 8. Commonwealth: ethical egoism to sustainable livelihood 9. Sarvodaya: dignified work to multiple capitals PART IV North: beyond employment: work as recreation 10. The quest for meaning: agape economics to rehoming work 11. Critique of political economy: sustainable employment to regenerative work 12. The otium of the people: automated work to work as recreation 13. Open source: immaterial labour to social networking PART V West: transforming employment: self, enterprise and new community 14. Post-liberalism: transformed workplaces to blockchain distribution 15. Basic income: valuing identity to people’s fund 16. Social credit: national balance to citizen’s dividend 17. Integral banking: communitalism to communipreneurship 18. Evolving work: employing community, self and enterprise

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Book SynopsisMapping Motivation for Leadership, co-written with Jane Thomas, is the fourth of a series of seven books that are all linked to the author's Motivational Map toolkit. Each book builds on a different aspect of personal, team and organisational development.This is a practical guide to leadership in the 21st century and builds on the 4+1' model outlined in the author''s original book Mapping Motivation: Unlocking the Key to Employee Energy and Engagement. There is an increasing body of evidence, that the single most important aspect of being a leader relates to managing emotions effectively, and this management goes way beyond simply understanding' emotional intelligence; it is in fact a practice and one that is intimately connected with personal development and growth, and with energy. Energy, as Mapping Motivation made clear, is synonymous with motivation. The effective leaders of tomorrow will be those who understand their motivators, who regularly meTrade Review"James Sale provides a compelling narrative using the language of motivation to truly help people understand themselves and build better, more transparent, organisations going forward." — Tony Henderson, Account Director, Operator Channels at Microsoft Limited"Mapping Motivation for Leadership is deeply wise guidance for leaders at all levels and activities. Included are immediately useful tools and practical pathways for growth. With exceptional clarity, James Sale and Jane Thomas laser in on the particular motivations of leaders and those they work with. He aims to create people-centered collaboration, which leads to innovation and self-awareness. A terrific book, highly recommended." — Michael J. Goldberg, author of The 9 Ways of Working and Travels with OdysseusTable of ContentsSeries Editor Introduction Preface Introduction to Motivational Maps Summary of Motivational Maps Chapter 1. Unpacking the ‘4+1’ Model of Leadership Chapter 2. Developing your Self (the ‘+1’) as Leader Chapter 3. Leadership 360° Motivational Feedback Chapter 4. Leaders Thinking and Planning Chapter 5. Leaders Doing Chapter 6. Leaders Team Building Chapter 7. What Leadership Isn’t: A 360° Maps Case Study Chapter 8. Leading to Motivate Employees Conclusion Resources Section Index

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Book SynopsisThe explosion of Web-based data has created a demand among executives and technologists for methods to identify, gather, analyze, and utilize data that may be of value to corporations and organizations. The emergence of data mining, and the larger field of Web mining, has businesses lost within a confusing maze of mechanisms and strategies for obtaining and managing crucial intelligence.Web Data Mining and Applications in Business Intelligence and Counter-Terrorism responds by presenting a clear and comprehensive overview of Web mining, with emphasis on CRM and, for the first time, security and counter-terrorism applications. The tools and methods of Web mining are revealed in an easy-to-understand style, emphasizing the importance of practical, hands-on experience in the creation of successful e-business solutions.The author, a program director for Data and Applications Security at the National Science Foundations, details how both opportunities and dangers on the WTable of ContentsIntroduction. SUPPORTING TECHNOLOGIES FOR WEB DATA MINING. The World Wide Web and E-Commerce. Data Mining. Core Data Mining Technologies. Web Database Management. Information Retrieval Systems. Information Management Technologies. The Semantic Web. WEB DATA MINING TECHNIQUES, TOOLS, AND TRENDS. Data Mining and the Web. Processes and Techniques for Web Data Mining. Mining the Databases on the Web. Information Retrieval and Web Data Mining. Information Management and Web Data Mining. Semantic Web Mining. Mining Usage Patterns and Structure on the Web. Prototypes, Products, and Standards for Web Data Mining. Some Applications for Web Mining. WEB DATA MINING APPLICATIONS FOR COUNTER-TERRORISM. Some Information on Terrorism, Security Threats, and Protection Measures. Web Data Mining for Counter-Terrorism. Mining the Web Databases for Counter-Terrorism. Information Retrieval and Web Mining for Counter-Terrorism. Information Management and Web Mining for Counter-Terrorism. Semantic Web Mining for Counter-Terrorism. Web Usage and Structure Mining for Counter-Terrorism. National Security, Privacy, Civil Liberties, and Web Mining. Revisiting Security Threats with Respect to Web Mining. E-Commerce, Business Intelligence, and Counter-Terrorism. Summary and Directions. Appendices.

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