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ISBN: 9780470625699
ID: 9780470625699
Finding the Value of Intangibles in Business InhaltsangabePreface xi< p> Acknowledgments xv< p> < b> SECTION I< /b> < b> MEASUREMENT: THE SOLUTION EXISTS 1< /b> < p> < b> CHAPTER 1< /b> < b> Intangibles and the Challenge 3< /b> < p> Yes, I Mean < i> Anything< /i> 5< p> The Proposal 6< p> < b> CHAPTER 2< /b> < b> An Intuitive Measurement Habit: Eratosthenes, Enrico, and Emily 9< /b> < p> How an Ancient Greek Measured the Size of Earth 10< p> Estimating: Be Like Fermi 11< p> Experiments: Not Just for Adults 13< p> Notes on What to Learn from Eratosthenes, Enrico, and Emily 18< p> < b> CHAPTER 3< /b> < b> The Illusion of Intangibles: Why Immeasurables Aren&apos t 21< /b> < p> The Concept of Measurement 22< p> The Object of Measurement 26< p> The Methods of Measurement 28< p> Economic Objections to Measurement 35< p> The Broader Objection to the Usefulness of " Statistics" 37< p> Ethical Objections to Measurement 39< p> Toward a Universal Approach to Measurement 41< p> < b> SECTION II BEFORE YOU MEASURE 45< /b> < p> < b> CHAPTER 4 Clarifying the Measurement Problem 47< /b> < p> Getting the Language Right: What " Uncertainty" and " Risk" Really Mean 49< p> Examples of Clarification: Lessons for Business from, of All Places, Government 51< p> < b> CHAPTER 5< /b> < b> Calibrated Estimates: How Much Do You Know < i> Now< /i> < /b> < b> 57< /b> < p> Calibration Exercise 59< p> Further Improvements on Calibration 64< p> Conceptual Obstacles to Calibration 65< p> The Effects of Calibration 71< p> < b> CHAPTER 6 Measuring Risk through Modeling 79< /b> < p> How < i> Not< /i> to Measure Risk 79< p> Real Risk Analysis: The Monte Carlo 81< p> An Example of the Monte Carlo Method and Risk 82< p> Tools and Other Resources for Monte Carlo Simulations 91< p> The Risk Paradox and the Need for Better Risk Analysis 93< p> < b> CHAPTER 7< /b> < b> Measuring the Value of Information 99< /b> < p> The Chance of Being Wrong and the Cost of Being Wrong: Expected Opportunity Loss 100< p> The Value of Information for Ranges 103< p> The Imperfect World: The Value of Partial Uncertainty Reduction 107< p> The Epiphany Equation: How the Value of Information Changes Everything 110< p> Summarizing Uncertainty, Risk, and Information Value: The First Measurements 114< p> < b> SECTION III MEASUREMENT METHODS 117< /b> < p> < b> CHAPTER 8 The Transition: From What to Measure to How to Measure 119< /b> < p> Tools of Observation: Introduction to the Instrument of Measurement 120< p> Decomposition 124< p> Secondary Research: Assuming You Weren&apos t the First to Measure It 127< p> The Basic Methods of Observation: If One Doesn&apos t Work, Try the Next 128< p> Measure Just Enough 131< p> Consider the Error 132< p> Choose and Design the Instrument 136< p> < b> CHAPTER 9 Sampling Reality: How Observing Some Things Tells Us about All Things 139< /b> < p> Building an Intuition for Random Sampling: The Jelly Bean Example 141< p> A Little about Little Samples: A Beer Brewer&apos s Approach 142< p> Statistical Significance: A Matter of Degree 145< p> When Outliers Matter Most 148< p> The Easiest Sample Statistics Ever 150< p> A Biased Sample of Sampling Methods 153< p> Measure to the Threshold 162< p> Experiment 165< p> Seeing Relationships in the Data: An Introduction to Regression Modeling 169< p> One Thing We Haven&apos t Discussed& #8212 and Why 174< p> < b> CHAPTER 10 Bayes: Adding to What You Know Now 177< /b> < p> Simple Bayesian Statistics 178< p> Using Your Natural Bayesian Instinct 181< p> Heterogeneous Benchmarking: A " Brand Damage" Application 187< p> Bayesian Inversion for Ranges: An Overview 190< p> Baye Evaluation: Rasch Models 230< p> Removing Human Inconsistency: The Lens Model 234< p> Panacea or Placebo : Questionable Methods of Measurement 238< p> Comparing the Methods 246< p> < b> CHAPTER 13 New Measurement Instruments for Management 251< /b> < p> The Twenty-First-Century Tracker: Keeping Tabs with Technology 251< p> Measuring the World: The Internet as an Instrument 254< p> Prediction Markets: A Dynamic Aggregation of Opinions 257< p> < b> CHAPTER 14 A Universal Measurement Method: Applied Information Economics 265< /b> < p> Bringing the Pieces Together 266< p> Case: The Value of the System that Monitors Your Drinking Water 270< p> Case: Forecasting Fuel for the Marine Corps 275< p> Ideas for Getting Started: A Few Final Examples 281< p> Summarizing the Philosophy 287< p> < b> APPENDIX Calibration Tests (and Their Answers) 289< /b> < p> < b> Index 299< /b> How to Measure Anything: InhaltsangabePreface xi< p> Acknowledgments xv< p> < b> SECTION I< /b> < b> MEASUREMENT: THE SOLUTION EXISTS 1< /b> < p> < b> CHAPTER 1< /b> < b> Intangibles and the Challenge 3< /b> < p> Yes, I Mean < i> Anything< /i> 5< p> The Proposal 6< p> < b> CHAPTER 2< /b> < b> An Intuitive Measurement Habit: Eratosthenes, Enrico, and Emily 9< /b> < p> How an Ancient Greek Measured the Size of Earth 10< p> Estimating: Be Like Fermi 11< p> Experiments: Not Just for Adults 13< p> Notes on What to Learn from Eratosthenes, Enrico, and Emily 18< p> < b> CHAPTER 3< /b> < b> The Illusion of Intangibles: Why Immeasurables Aren&apos t 21< /b> < p> The Concept of Measurement 22< p> The Object of Measurement 26< p> The Methods of Measurement 28< p> Economic Objections to Measurement 35< p> The Broader Objection to the Usefulness of " Statistics" 37< p> Ethical Objections to Measurement 39< p> Toward a Universal Approach to Measurement 41< p> < b> SECTION II BEFORE YOU MEASURE 45< /b> < p> < b> CHAPTER 4 Clarifying the Measurement Problem 47< /b> < p> Getting the Language Right: What " Uncertainty" and " Risk" Really Mean 49< p> Examples of Clarification: Lessons for Business from, of All Places, Government 51< p> < b> CHAPTER 5< /b> < b> Calibrated Estimates: How Much Do You Know < i> Now< /i> < /b> < b> 57< /b> < p> Calibration Exercise 59< p> Further Improvements on Calibration 64< p> Conceptual Obstacles to Calibration 65< p> The Effects of Calibration 71< p> < b> CHAPTER 6 Measuring Risk through Modeling 79< /b> < p> How < i> Not< /i> to Measure Risk 79< p> Real Risk Analysis: The Monte Carlo 81< p> An Example of the Monte Carlo Method and Risk 82< p> Tools and Other Resources for Monte Carlo Simulations 91< p> The Risk Paradox and the Need for Better Risk Analysis 93< p> < b> CHAPTER 7< /b> < b> Measuring the Value of Information 99< /b> < p> The Chance of Being Wrong and the Cost of Being Wrong: Expected Opportunity Loss 100< p> The Value of Information for Ranges 103< p> The Imperfect World: The Value of Partial Uncertainty Reduction 107< p> The Epiphany Equation: How the Value of Information Changes Everything 110< p> Summarizing Uncertainty, Risk, and Information Value: The First Measurements 114< p> < b> SECTION III MEASUREMENT METHODS 117< /b> < p> < b> CHAPTER 8 The Transition: From What to Measure to How to Measure 119< /b> < p> Tools of Observation: Introduction to the Instrument of Measurement 120< p> Decomposition 124< p> Secondary Research: Assuming You Weren&apos t the First to Measure It 127< p> The Basic Methods of Observation: If One Doesn&apos t Work, Try the Next 128< p> Measure Just Enough 131< p> Consider the Error 132< p> Choose and Design the Instrument 136< p> < b> CHAPTER 9 Sampling Reality: How Observing Some Things Tells Us about All Things 139< /b> < p> Building an Intuition for Random Sampling: The Jelly Bean Example 141< p> A Little about Little Samples: A Beer Brewer&apos s Approach 142< p> Statistical Significance: A Matter of Degree 145< p> When Outliers Matter Most 148< p> The Easiest Sample Statistics Ever 150< p> A Biased Sample of Sampling Methods 153< p> Measure to the Threshold 162< p> Experiment 165< p> Seeing Relationships in the Data: An Introduction to Regression Modeling 169< p> One Thing We Haven&apos t Discussed& #8212 and Why 174< p> < b> CHAPTER 10 Bayes: Adding to What You Know Now 177< /b> < p> Simple Bayesian Statistics 178< p> Using Your Natural Bayesian Instinct 181< p> Heterogeneous Benchmarking: A " Brand Damage" Application 187< p> Bayesian Inversion for Ranges: An Overview 190< p> Baye Evaluation: Rasch Models 230< p> Removing Human Inconsistency: The Lens Model 234< p> Panacea or Placebo : Questionable Methods of Measurement 238< p> Comparing the Methods 246< p> < b> CHAPTER 13 New Measurement Instruments for Management 251< /b> < p> The Twenty-First-Century Tracker: Keeping Tabs with Technology 251< p> Measuring the World: The Internet as an Instrument 254< p> Prediction Markets: A Dynamic Aggregation of Opinions 257< p> < b> CHAPTER 14 A Universal Measurement Method: Applied Information Economics 265< /b> < p> Bringing the Pieces Together 266< p> Case: The Value of the System that Monitors Your Drinking Water 270< p> Case: Forecasting Fuel for the Marine Corps 275< p> Ideas for Getting Started: A Few Final Examples 281< p> Summarizing the Philosophy 287< p> < b> APPENDIX Calibration Tests (and Their Answers) 289< /b> < p> < b> Index 299< /b> Wirtschaft, John Wiley & Sons
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ISBN: 9780470625699
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Finding the Value of Intangibles in Business InhaltsangabePreface xiAcknowledgments xvSECTION I MEASUREMENT: THE SOLUTION EXISTS 1CHAPTER 1 Intangibles and the Challenge 3Yes, I Mean Anything 5The Proposal 6CHAPTER 2 An Intuitive Measurement Habit: Eratosthenes, Enrico, and Emily 9How an Ancient Greek Measured the Size of Earth 10Estimating: Be Like Fermi 11Experiments: Not Just for Adults 13Notes on What to Learn from Eratosthenes, Enrico, and Emily 18CHAPTER 3 The Illusion of Intangibles: Why Immeasurables Aren&apos t 21The Concept of Measurement 22The Object of Measurement 26The Methods of Measurement 28Economic Objections to Measurement 35The Broader Objection to the Usefulness of " Statistics" 37Ethical Objections to Measurement 39Toward a Universal Approach to Measurement 41SECTION II BEFORE YOU MEASURE 45CHAPTER 4 Clarifying the Measurement Problem 47Getting the Language Right: What " Uncertainty" and " Risk" Really Mean 49Examples of Clarification: Lessons for Business from, of All Places, Government 51CHAPTER 5 Calibrated Estimates: How Much Do You Know Now 57Calibration Exercise 59Further Improvements on Calibration 64Conceptual Obstacles to Calibration 65The Effects of Calibration 71CHAPTER 6 Measuring Risk through Modeling 79How Not to Measure Risk 79Real Risk Analysis: The Monte Carlo 81An Example of the Monte Carlo Method and Risk 82Tools and Other Resources for Monte Carlo Simulations 91The Risk Paradox and the Need for Better Risk Analysis 93CHAPTER 7 Measuring the Value of Information 99The Chance of Being Wrong and the Cost of Being Wrong: Expected Opportunity Loss 100The Value of Information for Ranges 103The Imperfect World: The Value of Partial Uncertainty Reduction 107The Epiphany Equation: How the Value of Information Changes Everything 110Summarizing Uncertainty, Risk, and Information Value: The First Measurements 114SECTION III MEASUREMENT METHODS 117CHAPTER 8 The Transition: From What to Measure to How to Measure 119Tools of Observation: Introduction to the Instrument of Measurement 120Decomposition 124Secondary Research: Assuming You Weren&apos t the First to Measure It 127The Basic Methods of Observation: If One Doesn&apos t Work, Try the Next 128Measure Just Enough 131Consider the Error 132Choose and Design the Instrument 136CHAPTER 9 Sampling Reality: How Observing Some Things Tells Us about All Things 139Building an Intuition for Random Sampling: The Jelly Bean Example 141A Little about Little Samples: A Beer Brewer&apos s Approach 142Statistical Significance: A Matter of Degree 145When Outliers Matter Most 148The Easiest Sample Statistics Ever 150A Biased Sample of Sampling Methods 153Measure to the Threshold 162Experiment 165Seeing Relationships in the Data: An Introduction to Regression Modeling 169One Thing We Haven&apos t Discussed& #8212 and Why 174CHAPTER 10 Bayes: Adding to What You Know Now 177Simple Bayesian Statistics 178Using Your Natural Bayesian Instinct 181Heterogeneous Benchmarking: A " Brand Damage" Application 187Bayesian Inversion for Ranges: An Overview 190Baye Evaluation: Rasch Models 230Removing Human Inconsistency: The Lens Model 234Panacea or Placebo : Questionable Methods of Measurement 238Comparing the Methods 246CHAPTER 13 New Measurement Instruments for Management 251The Twenty-First-Century Tracker: Keeping Tabs with Technology 251Measuring the World: The Internet as an Instrument 254Prediction Markets: A Dynamic Aggregation of Opinions 257CHAPTER 14 A Universal Measurement Method: Applied Information Economics 265Bringing the Pieces Together 266Case: The Value of the System that Monitors Your Drinking Water 270Case: Forecasting Fuel for the Marine Corps 275Ideas for Getting Started: A Few Final Examples 281Summarizing the Philosophy 287APPENDIX Calibration Tests (and Their Answers) 289Index 299 How to Measure Anything: InhaltsangabePreface xiAcknowledgments xvSECTION I MEASUREMENT: THE SOLUTION EXISTS 1CHAPTER 1 Intangibles and the Challenge 3Yes, I Mean Anything 5The Proposal 6CHAPTER 2 An Intuitive Measurement Habit: Eratosthenes, Enrico, and Emily 9How an Ancient Greek Measured the Size of Earth 10Estimating: Be Like Fermi 11Experiments: Not Just for Adults 13Notes on What to Learn from Eratosthenes, Enrico, and Emily 18CHAPTER 3 The Illusion of Intangibles: Why Immeasurables Aren&apos t 21The Concept of Measurement 22The Object of Measurement 26The Methods of Measurement 28Economic Objections to Measurement 35The Broader Objection to the Usefulness of " Statistics" 37Ethical Objections to Measurement 39Toward a Universal Approach to Measurement 41SECTION II BEFORE YOU MEASURE 45CHAPTER 4 Clarifying the Measurement Problem 47Getting the Language Right: What " Uncertainty" and " Risk" Really Mean 49Examples of Clarification: Lessons for Business from, of All Places, Government 51CHAPTER 5 Calibrated Estimates: How Much Do You Know Now 57Calibration Exercise 59Further Improvements on Calibration 64Conceptual Obstacles to Calibration 65The Effects of Calibration 71CHAPTER 6 Measuring Risk through Modeling 79How Not to Measure Risk 79Real Risk Analysis: The Monte Carlo 81An Example of the Monte Carlo Method and Risk 82Tools and Other Resources for Monte Carlo Simulations 91The Risk Paradox and the Need for Better Risk Analysis 93CHAPTER 7 Measuring the Value of Information 99The Chance of Being Wrong and the Cost of Being Wrong: Expected Opportunity Loss 100The Value of Information for Ranges 103The Imperfect World: The Value of Partial Uncertainty Reduction 107The Epiphany Equation: How the Value of Information Changes Everything 110Summarizing Uncertainty, Risk, and Information Value: The First Measurements 114SECTION III MEASUREMENT METHODS 117CHAPTER 8 The Transition: From What to Measure to How to Measure 119Tools of Observation: Introduction to the Instrument of Measurement 120Decomposition 124Secondary Research: Assuming You Weren&apos t the First to Measure It 127The Basic Methods of Observation: If One Doesn&apos t Work, Try the Next 128Measure Just Enough 131Consider the Error 132Choose and Design the Instrument 136CHAPTER 9 Sampling Reality: How Observing Some Things Tells Us about All Things 139Building an Intuition for Random Sampling: The Jelly Bean Example 141A Little about Little Samples: A Beer Brewer&apos s Approach 142Statistical Significance: A Matter of Degree 145When Outliers Matter Most 148The Easiest Sample Statistics Ever 150A Biased Sample of Sampling Methods 153Measure to the Threshold 162Experiment 165Seeing Relationships in the Data: An Introduction to Regression Modeling 169One Thing We Haven&apos t Discussed& #8212 and Why 174CHAPTER 10 Bayes: Adding to What You Know Now 177Simple Bayesian Statistics 178Using Your Natural Bayesian Instinct 181Heterogeneous Benchmarking: A " Brand Damage" Application 187Bayesian Inversion for Ranges: An Overview 190Baye Evaluation: Rasch Models 230Removing Human Inconsistency: The Lens Model 234Panacea or Placebo : Questionable Methods of Measurement 238Comparing the Methods 246CHAPTER 13 New Measurement Instruments for Management 251The Twenty-First-Century Tracker: Keeping Tabs with Technology 251Measuring the World: The Internet as an Instrument 254Prediction Markets: A Dynamic Aggregation of Opinions 257CHAPTER 14 A Universal Measurement Method: Applied Information Economics 265Bringing the Pieces Together 266Case: The Value of the System that Monitors Your Drinking Water 270Case: Forecasting Fuel for the Marine Corps 275Ideas for Getting Started: A Few Final Examples 281Summarizing the Philosophy 287APPENDIX Calibration Tests (and Their Answers) 289Index 299 Wirtschaft, John Wiley & Sons
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ISBN: 9780470625699
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Now updated with new research and even more intuitive explanations, a demystifying explanation of how managers can inform themselves to make less risky, more profitable business decisions This insightful and eloquent book will show you how to measure those things in your own business that, until now, you may have considered "immeasurable," including customer satisfaction. Now updated with new research and even more intuitive explanations, a demystifying explanation of how managers can inform themselves to make less risky, more profitable business decisions This insightful and eloquent book will show you how to measure those things in your own business that, until now, you may have considered "immeasurable," including customer satisfaction, organizational flexibility, technology risk, and technology ROI. Adds even more intuitive explanations of powerful measurement methods and shows how they can be applied to areas such as risk management and customer satisfactionContinues to boldly assert that any perception of "immeasurability" is based on certain popular misconceptions about measurement and measurement methodsShows the common reasoning for calling something immeasurable, and sets out to correct those ideasOffers practical methods for measuring a variety of "intangibles"Adds recent research, especially in regards to methods that seem like measurement, but are in fact a kind of "placebo effect" for management - and explains how to tell effective methods from management mythologyWritten by recognized expert Douglas Hubbard-creator of Applied Information Economics-How to Measure Anything, Second Edition illustrates how the author has used his approach across various industries and how any problem, no matter how difficult, ill defined, or uncertain can lend itself to measurement using proven methods. eBooks, , How To Measure Anything~~EBook~~9780470625699~~Douglas W. Hubbard, , How To Measure Anything, Douglas W. Hubbard, 9780470625699, Wiley, 04/07/2010, , , , Wiley
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2010, ISBN: 0470625694
ID: 9780470625699
In englischer Sprache. Verlag: John Wiley & Sons, DOUGLAS W. HUBBARD is the inventor of Applied Information Economics (AIE), a measurement methodology that has been used in IT portfolios, entertainment media, military logistics, R&D portfolios, and many more areas where big decisions are based on factors that seem difficult or impossible to measure. He is an internationally recognized expert in metrics, decision analysis, and risk management, and is a popular speaker at numerous conferences. He has written articles for InformationWeek, CIO Enterprise, Architecture Boston, Analytics and OR/MS Today and is also the author of The Failure of Risk Management: Why It's Broken and How to Fix It. EPUB, 320 Seiten, 320 Seiten, 2., Auflage, [GR: 9783 - Nonbooks, PBS / Wirtschaft/Betriebswirtschaft], [SW: - Betriebswirtschaft und Management], [Ausgabe: 2][PU:John Wiley & Sons], [PU: Wiley]
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2010, ISBN: 9780470625699
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Finding the Value of Intangibles in Business, [ED: 2], 2., Auflage, eBook Download (EPUB), eBooks, [PU: John Wiley & Sons]
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Details of the book - How to Measure Anything
EAN (ISBN-13): 9780470625699
ISBN (ISBN-10): 0470625694
Publishing year: 2010
Publisher: Wiley, J
320 Pages
Language: eng/Englisch
Book in our database since 23.09.2011 23:10:40
Book found last time on 05.09.2015 18:18:28
ISBN/EAN: 0470625694
ISBN - alternate spelling:
0-470-62569-4, 978-0-470-62569-9
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