Business mathematics and systems Books

Book SynopsisEntrepreneurship is often focused on understanding new ventures, but the entrepreneurial flame is required in growing organisations too. This textbook examines how organisations can become more entrepreneurial to achieve sustainable growth.The authors show how entrepreneurship can be used to address crisis points of growth within small firms and to overcome the limitations of stagnation within large firms. By integrating entrepreneurship and innovation management, the book presents a framework to diagnose entrepreneurial behaviour within existing firms. Drawing upon research and reflecting practice across a range of industries, from football, through Silicon Valley, to the retail sector, it includes insights from leading practitioners.The authors build an understanding of entrepreneurship in context to provide diagnostic tools to help organisations make entrepreneurship central to their culture. This unique text is therefore useful reading for business stTrade Review'Developing an entrepreneurial culture is a challenge in any organisation – both large and small. This very readable book contains excellent examples where cultural change has delivered true innovations. I will certainly use some of the described best practice in my own organisation.' - Malcolm Skingle, Director of Academic Liaison, GlaxoSmithKline, UK 'A must read for executive management teams. The entrepreneurial culture advocated in this book is exactly what venture capital and private equity investors look for in high growth organisations.' - Rob Carroll, Founder, Catapult Ventures Group and Vice Chairman, Small Business Charter, UKTable of Contents1. How to Build an Entrepreneurial Organisation 2. Entrepreneurial Strategy 3. Strategy in Practice: Insights from an Entrepreneurial Multinational 4. Entrepreneurial Culture and Leadership: Structure, Processes and People 5. Building a Culture of Entrepreneurship in Practice 6. Entrepreneurship with External Stakeholders 7. Managing Uncertainty and Failure 8. Building an Ambidextrous Organisation 9. Diagnosing an Entrepreneurial Change Programme

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Book SynopsisCorporate entrepreneurship involves new business creation within established companies, the strategic renewal of existing business, and, ultimately, the search for sustainable competitive advantage in an increasingly globalised economy. Yet it remains elusive for many firms. In a collaboration between a practitioner and academic, Joe J. Amberg and Sara L. McGaughey explore corporate entrepreneuring within a large conglomerate multinational enterprise: Siemens AG. In early 2009, following a prolonged period of business stagnation and a huge bribery scandal, Siemens' top management identified a severe lack of entrepreneurship as a critical issue. The strengthening of local entrepreneurship' became a new priority in the strategic planning for 2010 to 2014. By examining three contrasting ventures in the Siemens business unit Fire Safety between 2008 and 2012, the authors identify key drivers and impediments that sustain inertia in corporate entrepreneuring within this glTable of ContentsList of figures List of tables Acknowledgements 1 What is this book about? 2 Siemens Fire Safety 3 Perceptions of corporate entrepreneurship 4 A process-oriented organisation 5 Subsidiary mandates and initiative 6 Managing human resources 7 Sustained inertia in corporate entrepreneuring Index

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Book SynopsisUnfortunately, leadership does not have a one-size-fits-all definition. We all have our own ideas as to what makes a good leader and the types of challenges that will be faced. The author bridges a gap by presenting how modern leadership happens while simultaneously combining a description of leadership and its practical application in today's environments. In this book, Nicholas Harkiolakis integrates the various theoretical perspectives into a unified model that can be understood by both the academic and the practitioner (existing and future leaders). This understanding is necessary to effectively treat and apply leadership to the challenging settings of today's operational environments: virtual, distributed, multicultural and so on. Some of the key topics covered are: leadership through the ages characteristics of leadership modern perspectives an integrated leadership framework the application of leadership the twenty-first-centuTrade Review'Although he provides ample illustrations of leadership in history, what makes this book really important is the extension of leadership analysis to multigenerational, multi-locational, even multi-national organizations. Harkiolakis projects the leader as one who can create and sustain a probable future that can survive in the face of unintended consequences and unforeseeable circumstances.' — Dr. Thomas Rocco, retired president Leadership Institute of Seattle and founding provost Hellenic American University. 'There are a lot of books about leadership and I've read quite a few. Nicholas' book stands apart from them. It's neither the familiar 'How To' which far too often suggests you imitate the author nor an academic tome that considers the intense and self-challenging aspects of leadership as just another topic for dissection. Rather he has written a well-judged, thoughtful, review and analysis of the nature of leadership, the experience of leading and the challenges and contradictions therein. It's a handbook about what leadership has been, what it is today and what it can be in the future. Written in a clear and engaging style, Nicholas provides an impressive tour-de-force of the essence of leadership for an inquisitive and reflective audience.' — Simon Jones, Pro-Vice-Chancellor, Cranfield University. Table of Contents1. Why not another book on leadership? 2. Leadership through the ages 3. Leadership in the twenty-first century 4. Theoretical perspectives 5. A leadership framework 6. Application of leadership 7. Future dimensions

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a huge range and FREE tracked UK delivery on ALL orders.

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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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a huge range and FREE tracked UK delivery on ALL orders.

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a huge range and FREE tracked UK delivery on ALL orders.

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a huge range and FREE tracked UK delivery on ALL orders.

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Book SynopsisThis textbook offers a compact introductory course on Malliavin calculus, an active and powerful area of research. It covers recent applications, including density formulas, regularity of probability laws, central and non-central limit theorems for Gaussian functionals, convergence of densities and non-central limit theorems for the local time of Brownian motion. The book also includes a self-contained presentation of Brownian motion and stochastic calculus, as well as Lévy processes and stochastic calculus for jump processes. Accessible to non-experts, the book can be used by graduate students and researchers to develop their mastery of the core techniques necessary for further study.Trade Review'This book is a delightful and self-contained introduction to stochastic and Malliavin calculus that will guide the graduate students in probability theory from the basics of the theory to the borders of contemporary research. It is a must read written by two globally recognized experts!' Fabrice Baudoin, University of Connecticut'Malliavin calculus has seen a great revival of interest in recent years, after the discovery about ten years ago that Stein's method for probabilistic approximation and Malliavin calculus fit together admirably well. Such an interaction has led to some remarkable limit theorems for Gaussian, Poisson and Rademacher functionals. This monograph, written by two internationally renowned specialists of the field, provides a concise, self-contained and very pleasant exposition of different aspects of this rich and recent line of research. For sure, it is destined to quickly become a must-have reference book!' Ivan Nourdin, University of Luxembourg'The book provides a concise and self-contained exposition of the subject including recent developments.' Maria Gordina, MathSciNet'The book is written very clearly and precisely, and will be useful to anyone who wants to study the Malliavin calculus and its applications at the introductory level and then more deeply, as well as those who are ready to apply these results in their research. The book can be used to give lectures for graduate students.' Yuliya S. Mishura, zbMathTable of ContentsPreface; 1. Brownian motion; 2. Stochastic calculus; 3. Derivative and divergence operators; 4. Wiener chaos; 5. Ornstein-Uhlenbeck semigroup; 6. Stochastic integral representations; 7. Study of densities; 8. Normal approximations; 9. Jump processes; 10. Malliavin calculus for jump processes I; 11. Malliavin calculus for jump processes II; Appendix A. Basics of stochastic processes; References; Index.

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Book SynopsisDavid F. Groebner is Professor Emeritus of Production Management in the College of Business and Economics at Boise State University. He has bachelor's and master's degrees in engineering and a Ph.D. in business administration. After working as an engineer, he has taught statistics and related subjects for 27 years. In addition to writing textbooks and academic papers, Groebner has worked extensively with both small and large organizations, including Hewlett-Packard, Boise Cascade, Albertson's, and Ore-Ida. He has worked with numerous government agencies, including Boise City and the U.S. Air Force. Patrick W. Shannon, Ph.D. is Dean and Professor of Supply Chain Operations Management in the College of Business and Economics at Boise State University. In addition to his administrative responsibilities,Table of ContentsBrief Contents The Where, Why, and How of Data Collection Graphs, Charts, and Tables–Describing Your Data Describing Data Using Numerical Measures Chapters 1-3 Special Review Section Introduction to Probability Discrete Probability Distributions Introduction to Continuous Probability Distributions Introduction to Sampling Distributions Estimating Single Population Parameters Introduction to Hypothesis Testing Estimation and Hypothesis Testing for Two Population Parameters Hypothesis Tests and Estimation for Population Variances Analysis of Variance Chapters 8-12 Special Review Section Goodness-of-Fit Tests and Contingency Analysis Introduction to Linear Regression and Correlation Analysis Multiple Regression Analysis and Model Building Analyzing and Forecasting Time-Series Data Introduction to Nonparametric Statistics Introducing Business Analytics (Online Only) Introduction to Decision Analysis (Online Only) Introduction to Quality and Statistical Process Control

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Book SynopsisAbout our authors The late Marge Lial? was always interested in math; it was her favorite subject in the first grade! Marge's intense desire to educate both her students and herself has inspired the writing of numerous best-selling textbooks. Marge, who received Bachelor's and Master's degrees from California State University at Sacramento, was affiliated with American River College. An avid reader and traveler, her travel experiences often found their way into her books as applications, exercise sets, and feature sets. Her interest in archeology led to trips to various digs and ruin sites, producing some fascinating problems for her textbooks involving such topics as the building of Mayan pyramids and the acoustics of ancient ball courts in the Yucatan.? The late Thomas W. Hungerford received his Bachelor's degree from Holy Cross and his PhD from the University of Chicago. He taught for many years at the University of Washington (SeTable of ContentsPrerequisite Skills Test Calculus Readiness Test 1. Algebra and Equations 1.1 The Real Numbers 1.2 Polynomials 1.3 Factoring 1.4 Rational Expressions 1.5 Exponents and Radicals 1.6 First-Degree Equations 1.7 Quadratic Equations Summary and Review CASE STUDY 1. Energy Efficiency and Long-Term Cost Savings 2. Graphs, Lines, and Inequalities 2.1 Graphs 2.2 Equations of Lines 2.3 Linear Models 2.4 Linear Inequalities 2.5 Polynomial and Rational Inequalities Summary and Review CASE STUDY 2. Using Extrapolation and Interpolation for Prediction 3. Functions and Graphs 3.1 Functions 3.2 Graphs of Functions 3.3 Applications of Linear Functions 3.4 Quadratic Functions and Applications 3.5 Polynomial Functions 3.6 Rational Functions Summary and Review CASE STUDY 3. Maximizing Profit 4. Exponential and Logarithmic Functions 4.1 Exponential Functions 4.2 Applications of Exponential Functions 4.3 Logarithmic Functions 4.4 Logarithmic and Exponential Equations Summary and Review CASE STUDY 4. Gapminder.org 5. Mathematics of Finance 5.1 Simple Interest and Discount 5.2 Compound Interest 5.3 Annuities, Future Value, and Sinking Funds 5.4 Annuities, Present Value, and Amortization Summary and Review CASE STUDY 5. Investing in Stocks and Using the Rule of 72 6. Systems of Linear Equations and Matrices 6.1 Systems of Two Linear Equations in Two Variables 6.2 Larger Systems of Linear Equations 6.3 Applications of Systems of Linear Equations 6.4 Basic Matrix Operations 6.5 Matrix Products and Inverses 6.6 Applications of Matrices Summary and Review CASE STUDY 6. Airline Route Maps 7. Linear Programming 7.1 Graphing Linear Inequalities in Two Variables 7.2 Linear Programming: The Graphical Method 7.3 Applications of Linear Programming 7.4 The Simplex Method: Maximization 7.5 Maximization Applications 7.6 The Simplex Method: Duality and Minimization 7.7 The Simplex Method: Nonstandard Problems Summary and Review CASE STUDY 7. Cooking with Linear Programming 8. Sets and Probability 8.1 Sets 8.2 Applications of Venn Diagrams and Contingency Tables 8.3 Introduction to Probability 8.4 Basic Concepts of Probability 8.5 Conditional Probability and Independent Events 8.6 Bayes' Formula Summary and Review CASE STUDY 8. Medical Diagnosis 9. Counting, Probability Distributions, and Further Topics in Probability 9.1 Probability Distributions and Expected Value 9.2 The Multiplication Principle, Permutations, and Combinations 9.3 Applications of Counting 9.4 Binomial Probability 9.5 Markov Chains 9.6 Decision Making Summary and Review CASE STUDY 9. Quick Draw® from the New York State Lottery 10. Introduction to Statistics 10.1 Frequency Distributions 10.2 Measures of Center 10.3 Measures of Variation and Boxplots 10.4 Normal Distributions Summary and Review CASE STUDY 10. Standard Deviation as a Measure of Risk 11. Differential Calculus 11.1 Limits 11.2 One-Sided Limits and Limits Involving Infinity 11.3 Rates of Change 11.4 Tangent Lines and Derivatives 11.5 Techniques for Finding Derivatives 11.6 Derivatives of Products and Quotients 11.7 The Chain Rule 11.8 Derivatives of Exponential and Logarithmic Functions 11.9 Continuity and Differentiability Summary and Review CASE STUDY 11. Price Elasticity of Demand 12. Applications of the Derivative 12.1 Local Extrema 12.2 The Second Derivative 12.3 Optimization Applications 12.4 Implicit Differentiation 12.5 Related Rates 12.6 Curve Sketching Summary and Review CASE STUDY 12. A Total Cost Model for a Training Program 13. Integral Calculus 13.1 Antiderivatives 13.2 Integration by Substitution 13.3 Integration by Parts 13.4 Area and the Definite Integral 13.5 The Fundamental Theorem of Calculus 13.6 Applications of Integrals 13.7 Differential Equations Summary and Review CASE STUDY 13. Bounded Population Growth 14. Multivariate Calculus 14.1 Functions of Several Variables 14.2 Partial Derivatives 14.3 Extrema of Functions of Several Variables 14.4 Lagrange Multipliers Summary and Review CASE STUDY 14. Global Warming and the Method of Least Squares Appendix A. Areas under the Normal Curve Appendix B. Solutions to Prerequisite Skills Test and Calculus Readiness Test Appendix C. Table of Integrals Answers to Selected Exercises Index of Companies, Products, and Agencies Index of Applications Subject Index Photo Credits Reference Endpapers: Algebra Review Geometric Formulas Finite Math Review Calculus Review

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Book SynopsisAbout our authors Ramesh Sharda (MBA, PhD, University of WisconsinMadison) is Vice Dean for Research and Graduate Programs, Watson/ConocoPhillips Chair, and Regents Professor of Management Science and Information Systems in the Spears School of Business at Oklahoma State University. His research has been published in major journals in management science and information systems, including?Management Science,?Operations Research,?Information Systems Research,?Decision Support Systems,?Decision Sciences Journal,?EJIS,?JMIS,?Interfaces,?INFORMS Journal on Computing, and?ACM Database. Dr. Sharda is a member of the editorial boards of journals such as?Decision Support Systems,?Decision Sciences, and?ACM Database. He has worked on many sponsored research projects with government and industry, and has been a consultant to many organizations. He also serves as the faculty director of Teradata University Network. Dr. Sharda received the 2013 INFORMS Computing SocietyTable of ContentsPART I: INTRODUCTION TO ANALYTICS AND AI An Overview of Business Analytics, Decision Support Systems, Business Intelligence, Data Science, and Artificial Intelligence Artificial Intelligence: Concepts, Drivers, Major Technologies, and Business Applications Nature of Data, Statistical Modeling, and Visualization PART II: PREDICTIVE ANALYTICS AND MACHINE LEARNING Data Mining Process, Methods, and Applications Machine learning Techniques for Predictive Analytics Deep Learning and Cognitive Computing Text Mining, Sentiment Analysis, and Social Analytics PART III: PRESCRIPTIVE ANALYTICS AND BIG DATA Prescriptive Analytics with Optimization and Simulation Big Data, Location Analytics, and Cloud Computing PART IV: ROBOTICS, SOCIAL NETWORKS, AI, AND IoT Robotics: Industrial and Consumer Applications Group Decision Making, Collaborative Systems, and AI Support Knowledge Systems: Expert Systems, Recommenders, Chatbots, Virtual Personal Assistants, and Robo Advisors The Internet of Things As a Platform for Intelligent Applications PART V: CAVEATS OF ANALYTICS AND AI Implementation Issues: From Ethics and Privacy to Organizational and Societal Impacts

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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 SynopsisThink statistics is just for statisticians? Think again! BASIC ALLIED HEALTH STATISTICS AND ANALYSIS, 5th Edition shows how Health Information Management (HIM) professionals wield the power of data to improve patient care delivery every day. To build a foundation for your success, this practical work-text demystifies stats by first demonstrating how to use calculations and then by offering practice in clinical case studies and practice problems. You'll think through the big issues in health care today, consider available data, choose the best statistical analysis, and then make recommendations--just like the pros. And once you have the basic math and stats down, nothing will hold you back! You can master applications such as vital statistics and mortality rates, census and occupancy rates, and more, all while meeting CAHIIM curriculum and competency standards.Table of Contents1. Health Statistics: Why Are They Important? 2. Mathematics: Reviewing the Basics. 3. Health Data Across the Continuum. 4. Hospital Census. 5. Hospital Occupancy. 6. Hospital Length of Stay. 7. Hospital, Obstetric, and Neonatal Statistics. 8. Miscellaneous Clinical and Non-Clinical Statistics. 9. End-of-Life Statistics: Mortality and Autopsy Rates. 10. Community Health Statistics. 11. Statistics: Learning the Basics. 12. Organizing Data for Analysis. 13. Displaying Data for Analysis. 14. Fundamentals of Research. Appendix I: Glossary. Appendix II: Formulas. Appendix III: Abbreviations. Appendix IV: Answers to the Self-Tests and Chapter Tests. Appendix V: Quick-Reference. Index.

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Book SynopsisProgramming systems today are often designed and constructed before business requirements are completed and finalised. Without a proper foundation, these systems will eventually crumble. Streamlining Business Requirements: The XCellR8™ Approach offers business analysts the foundation, principles, and steps they need to become effective facilitators in a world where gathering information is as important as the design and development of a system itself. Author Gerrie Caudle introduces a comprehensive framework to: - Gather and document business requirements accurately and effectively, - Ask the right questions of your users, document their responses properly, and formulate follow-up questions. - Facilitate a requirements session, validate business requirements, translate those requirements into functional specifications, and write test scenarios.

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Book SynopsisSurveying can prove to be an excellent way to elicit requirements. However, up until now, reliable resources that examine survey methods have been hard to find. Surveying Fundamentals for Business Analysts gives you all the basic knowledge you need to develop and execute efficient and effective surveys. It provides detailed descriptions of the different types of surveys and valuable guidance on how to choose the right survey for the task as well as how to identify stakeholders and participants. This practical guide, indispensible for business analysts, takes you through the process step-by-step as you: - Determine the scope of the survey - Design questions that will capture specific data - Analyze the data objectively and effectively - Report the findings clearly

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Book SynopsisCreate a Business that Runs Itself Going from small business to successful startup to scalable growth takes more than just good luck, it takes a system. Over the last 34 years franchising consultant and growth expert Mark Siebert has been sought out by more than 70,000 executives looking to expanding their company. Out of those 70,000 only 5,000 had the right systems in place to go from successful to scalable. What do these companies have in common? 1. They are good at what they do. Being good at the core of your business that you continue to see a healthy return on your investment. 2. They have a system in place and a manual on hand. Their process is documented and routinely integrated into every aspect of their business, so if someone follows the system the business can virtually run itself.

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Book Synopsis

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Book SynopsisThis book investigates the impact of information and communication technologies (ICTs) on development and well-being (beyond economic benefits) and highlights some emerging issues relating to the realities, constraints and digital divides with particular reference to India. It collects a series of novel contributions, studying the Indian experience in an international cross-country perspective. The book also discusses economic, social, and behavioural aspects of well-being as well as access to ICTs across regions, states and individuals to account for the digital divide. The book establishes an aggregate relationship between ICT exposure and well-being at the country level and addresses a number of fundamental issues, such as whether ICT raises the level of transparency and governance. Based on case studies and anecdotal evidence, it then further assesses the effective implementation of service delivery through ICT innovations. The book is divided into four parts: The introductory part surveys the literature and presents background information on the Indian case; introduces the main themes on the relationships between ICT, socio-economic development and digital divides; and provides a summary and roadmap to the chapters of the book. Part II focuses on the impact of ICT on economic performance, including economic growth, productivity and trade. Part III examines the extent of the digital divides in India, including international, regional as well as inter-personal inequality. Finally, Part IV investigates the impact of ICT on governance, users’ well-being and social outcomes. Combining insights from analyses of a variety of socio-economic dimensions related to digitalisation, this book is relevant for a wide range of scholars and researchers across disciplines, as well as practitioners and policy-makers. While the book has a main focus on India, various contributions take an international cross-country comparative perspective, and the results have general relevance for digitalisation and development. On the whole, the main message of this book is that the impact of ICTs is contingent upon other assets, capabilities and institutional conditions. National policies should, therefore, not only promote digitalization as such but also ensure its co-evolution and complementarity with a variety of other country-specific factors. Chapter 'Digitalisation and Development: Issues for India and Beyond' of this book is available open access under a CC BY 4.0 license at link.springer.com Table of ContentsContributors include:• Dr. Vivekananda Mukherjee, Professor, Department of Economics, Jadavpur University• Akshara Awasthi, Assistant Professor, Jesus and Mary College, Delhi University• Dr. Nilabja Ghosh, Professor, Agriculture Unit, Institute of Economic Growth Delhi• Dr. Keshab Das, Professor, Gujarat Institute of Development Research, Ahmedabad• Dr. Chiranjib Neogi, Guest Faculty, West Bengal State University and Retired Technical Officer, Indian Statistical Institute, Kolkata• Dr. Biswajit Mandal, Assistant Professor, Visva-Bharati University, Santiniketan• Dr. Grace Kite, Research Fellow, School of Oriental and African Studies, University of London• Dr. Nidhi Tewathia, Assistant Professor, Gargi College, University of Delhi• Debajit Jha, Assistant Professor, Jindal School of Government and Public Policy, O P Jindal Global University• Dr. Pratap C Mohanty, Assistant Professor, Dept. of HSS, IIT Roorkee • Dr. Hastimal Sagara, Assistant Professor, GLS University, Ahmedabad• Prakash Singh, Assistant Professor, Indian Institute of Foreign Trade, Delhi• Dr. Sachala Sahu, Consultant Psychologist, Berhampur, Odisha.• Dr. Ranjit Kumar Dehury, Assistant Professor (Health Management Area) Goa Institute of Management, Goa.• Vigneswara P. Ilavarasan, Associate Professor, Department of Management Studies, Indian Institute of Technology Delhi, New Delhi• Dr. Kushankur Dey, Professor of Economic Policy, Xavier School of Rural Management, Xavier University Bhubaneswar• Dr. Jyoti Shukla, Assistant Professor, RKMV, Himachal Pradesh university, Shimla

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Book SynopsisGet ready to ace Microsoft Dynamics 365 Business Central and usher in an era of streamlined efficiency, enhanced productivity, and growth. This guide book is your trusty companion on your journey to becoming an ERP implementation pro. The book will take you through the entire implementation process, from initial planning to successful deployment and beyond. The book starts with an introduction to Business Central and the benefits of its implementation. It discusses pre-implementation planning and vendor selection and partnership, and you will learn budgeting and timeline along with evaluating implementation partners. You will go through project management methodologies and learn about resource allocation and team roles. Data migration and cleansing are discussed, along with configuration and customization. You will learn about change management and user adoption, as well as Integration with existing systems. The book takes you through testing and quality assurance, and you will understand how to prepare for Go-Live. You also will learn common implementation challenges and solutions, and future trends in ERP and Business Central. After reading this book, you will be able to discover the full potential and make the most out of Microsoft Dynamics 365 Business Central. What Will You LearnMaster the complete process of Microsoft Dynamics 365 Business Central implementationImplement effective strategies to drive user adoption and overcome resistance to changeStay ahead of the curve by exploring emerging trends in the ERP landscapeUtilize practical tools and checklists to streamline implementation tasksGain insights from case studies for practical implementation strategiesWho This Book Is ForProject managers, business analysts, and ERP consultants

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Book SynopsisPart 1: The Origins and Fundamentals of Blockchain.- Chapter 1: Decrypting Blockchain Technology.- Chapter 2: Bitcoin: The Pioneer of Digital Currency.- Part 2: Ethereum: The Cradle of Smart Contracts.- Chapter 3: The Rise of Ethereum. -Chapter 4: The Pillars of Web3: Ethereum's Wallet, Faucet, and Layer 2 Solutions.- Part 3: Decentralized Finance (DeFi) and Applications.- Chapter 5: The Rise of Decentralized Finance (DeFi).- Chapter 6: Tokenized Real-World Assets (RWA) and Decentralized Physical Infrastructure Networks (DePIN).- Chapter 7: Non-Fungible Tokens (NFTs) and Digital Art.- Chapter 8: DEX and Market Cap Management.- Part 4: Advancing Web3: Integration, Innovation, and Regulation.- Chapter 9: Navigating the Future of Web3 and the Metaverse.- Chapter 10: The Integration and Evolution of AI in Web3.- Chapter 11: Legal Frameworks for Web3.

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Book SynopsisEmbark on a journey to business evolution grounded in the real-world experiences and challenges faced by those at the forefront of the Web2 revolution. In a landscape where adaptability is paramount, this book is a guiding light amidst a sea of uncertainty. Crafted by seasoned Web2 professionals, it offers a unique perspective on transitioning from traditional cloud computing to decentralized technologies. Delving beyond theory, this book provides actionable insights and strategies to navigate the complexities of Distributed Ledger Technologies (DLTs). Rather than just discussing the implementation of DLTs, it explores the intricacies of execution, offering tangible guidance to facilitate a seamless transition to the decentralized landscape. Moreover, this book doesn't stop at transitionit's a blueprint for thriving in the Web3 era. By offering strategic perspectives and tactical advice, it equips businesses of all sizes to not only survive but flourish in the decentralized economy. Whether you're a startup poised for disruption or an established enterprise seeking innovation, 'Decentralized Business' empowers you to confidently embrace the future. The time for passive observation is over; the future of business is decentralized, and Decentralized Business is your guide to navigating this evolution. Join the ranks of forward-thinkers shaping tomorrow's economysecure your copy now and begin the journey of transformation and opportunity. What You Will LearnUnderstand the foundational concepts of DLTs and their relevance to Web2 professionals. Review security considerations and best practices for implementing decentralized solutions. Apply strategies for integrating DLTs into existing cloud-based infrastructures. Who This Book Is ForIT managers and executives looking to explore the potential of decentralized solutions; technology consultants advising businesses on digital transformation and cloud-based strategies; professionals and architects are seeking to expand their knowledge into the realm of DLTs

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Book SynopsisManage supplier objectives effectively to align project and organizational success within your organization. This book introduces a dedicated method for suppliers to follow to ensure that all relevant targets and expectations are successfully meet. The method integrates a day-to-day high awareness, urgency, and focus on the management of all relevant objectives within the supplier's project to provide maximum benefit for its organization. You'll learn that formal targets are routinely established at the start of a project and captured in a contract or project charter. Formal customer expectations, such as timelines, scope, and budget, have high focus and are often pitted against internal day-to-day challenges, such as cost increases and other unexpected changes. These challenges can seem even more daunting as a project progresses, especially when other stakeholders have expectations as well. When not managed properly, this can obstruct the focus of less urgent or informal objectives, such as employee development, process assets, and lessons learned, some of which provide a critical benefit for the supplier's organization and its future. To combat this, you'll follow detailed instructions on how to handle such potential roadblocks and how to focus on achieving all relevant project objectives by applying the established method. Each chapter expands the dedicated method itself and provides insight into this philosophy. In the end you'll have all the necessary prerequisites for a successful implementation of these principles within your organization. What You Will LearnDefine organizational objectives aligned with the organization's purpose and valuesPrioritize and align project specific objectives with the organizational objectivesFacilitate to achieve the project objectivesHandle day-to-day challenges with managing the project objectivesBalance customer and supplier targets and expectationsWho This Book is ForProject management professionals with various levels of skill and experience working at small-to-medium sized project suppliers, both for-profit and non-profit organisations.

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Book SynopsisChapter 1: You, Me, Planet Earth, and IT.- Chapter 2: We've Got the Power!.- Chapter 3: Making Smarter Usage of Your IT Equipment.- Chapter 4: Appraising Cloud Services and Climate Change.- Chapter 5: Artificial Intelligence and Climate Change.- Chapter 6: Effectively Recycling and Repurposing IT Equipment.- Chapter 7: Managing Power for Your Existing IT Systems.- Chapter 8: Establishing Policies and Procedures for IT Use.- Chapter 9: Regulation and Compliance.- Chapter 10: Understanding the Interconnected World of Business and IT.- Chapter 11: Placing Your Environmental Policies in the Wider World.- Chapter 12: The Post-Truth Planet.- Chapter 13: Assessing Future Technologies.- Chapter 14: IT and the Future.

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Book SynopsisPart I: Introduction.- Chapter 1: Remote Work is the Future.- Chapter 2: Symptoms of a Poor Remote Team.- Chapter 3: Effective Remote Teams.- Part II: The Setup.- Chapter 4: Ecosystem.- Chapter 5: Onboarding.- Part III: The Work.- Chapter 6: Work Week.- Chapter 7: Strike Team.- Part IV: Keeping It Together.- Chapter 8: Handling Change and Growth.- Chapter 9: Building a Community.- Chapter 10: Longevity.

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Book SynopsisPart I. Impossible projects.- Chapter 1. Introduction – how and why this book was written.- Chapter 2. What are impossible projects.- Chapter 3. How and why impossible projects are created.- Chapter 4. Can an impossible project be delivered?.- Part II. Methodologies and Certifications - BS.- Chapter 5. Certificate Factory.- Chapter 6. Helplessness of methodologies and certificates when faced with key problems of impossible projects.- Chapter 7. Practical knowledge - the missing link.- Part III. 10 Rules for delivering impossible projects.- Chapter 8. Rule 1 – Engage in contract negotiations.- Chapter 9. Rule 2 - Define what it means to "deliver" the project.- Chapter 10. Rule 3 – Be useful and show commitment.- Chapter 11. Rule 4 - Build relationships and the power of influence.- Chapter 12. Rule 5 – Focus on progress, be pragmatic.- Chapter 13. Rule 6 - Apply pressure and take advantage of your position.- Chapter 14. Rule 7 – Consciously manage the flow of information.- Chapter 15. Rule 8 – Take care of the financial health of the project.- Chapter 16. Rule 9 – Create and document your own history of the project.- Chapter 17. Rule 10 – Focus on the long-term customer relationship.- Chapter 18. Summary.

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