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How to Measure Anything Finding the Value of Intangibles in Business

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ISBN-10: 0470539399

ISBN-13: 9780470539392

Edition: 2nd 2010

Authors: Douglas W. Hubbard

List price: $33.99
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Description:

This new edition continues to boldly assert that any perception of "immeasurability" is based on certain popular misconceptions about measurement and measurement methods. It shows the common reasoning for calling something immeasurable, and sets out to correct those ideas. Practical methods for measuring a variety of "intangibles" are explained including approaches to measuring "customer satisfaction," "organizational flexibility," "technology risk", technology ROI and other business problems. The new edition adds new measurement methods and shows how they can be applied to areas such as risk management and customer satisfaction.
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Book details

List price: $33.99
Edition: 2nd
Copyright year: 2010
Publisher: John Wiley & Sons, Limited
Publication date: 5/14/2010
Binding: Hardcover
Pages: 320
Size: 6.50" wide x 9.50" long x 1.00" tall
Weight: 1.342
Language: English

Preface
Acknowledgments
Measurement: The Solution Exists
Intangibles and the Challenge
Yes, I Mean Anything
The Proposal
An Intuitive Measurement Habit: Eratosthenes, Enrico, and Emily
How an Ancient Greek Measured the Size of Earth
Estimating: Be Like Fermi
Experiments: Not Just for Adults
Notes on What to Learn from Eratosthenes, Enrico, and Emily
The Illusion of Intangibles: Why Immeasurables Aren't
The Concept of Measurement
The Object of Measurement
The Methods of Measurement
Economic Objections to Measurement
The Broader Objection to the Usefulness of "Statistics"
Ethical Objections to Measurement
Toward a Universal Approach to Measurement
Before You Measure
Clarifying the Measurement Problem
Getting the Language Right: What "Uncertainty" and "Risk" Really Mean
Examples of Clarification: Lessons for Business from, of All Places, Government
Calibrated Estimates: How Much Do You Know Now?
Calibration Exercise
Further Improvements on Calibration
Conceptual Obstacles to Calibration
The Effects of Calibration
Measuring Risk through Modeling
How Not to Measure Risk
Real Risk Analysis: The Monte Carlo
An Example of the Monte Carlo Method and Risk
Tools and Other Resources for Monte Carlo Simulations
The Risk Paradox and the Need for Better Risk Analysis
Measuring the Value of Information
The Chance of Being Wrong and the Cost of Being Wrong: Expected Opportunity Loss
The Value of Information for Ranges
The Imperfect World: The Value of Partial Uncertainty Reduction
The Epiphany Equation: How the Value of Information Changes Everything
Summarizing Uncertainty, Risk, and Information Value: The First Measurements
Measurement Methods
The Transition: From What to Measure to How to Measure
Tools of Observation: Introduction to the Instrument of Measurement
Decomposition
Secondary Research: Assuming You Weren't the First to Measure It
The Basic Methods of Observation: If One Doesn't Work, Try the Next
Measure Just Enough
Consider the Error
Choose and Design the Instrument
Sampling Reality: How Observing Some Things Tells Us about All Things
Building an Intuition for Random Sampling: The Jelly Bean Example
A Little about Little Samples: A Beer Brewer's Approach
Statistical Significance: A Matter of Degree
When Outliers Matter Most
The Easiest Sample Statistics Ever
A Biased Sample of Sampling Methods
Measure to the Threshold
Experiment
Seeing Relationships in the Data: An Introduction to Regression Modeling
One Thing We Haven't Discussed-and Why
Bayes: Adding to What You Know Now
Simple Bayesian Statistics
Using Your Natural Bayesian Instinct
Heterogeneous Benchmarking: A "Brand Damage" Application
Bayesian Inversion for Ranges: An Overview
Bayesian Inversion for Ranges: The Details
The Lessons of Bayes
Beyond the Basics
Preference and Attitudes: The Softer Side of Measurement
Observing Opinions, Values, and the Pursuit of Happiness
A Willingness to Pay: Measuring Value via Trade-offs
Putting It All on the Line: Quantifying Risk Tolerance
Quantifying Subjective Trade-offs: Dealing with Multiple Conflicting Preferences
Keeping the Big Picture in Mind: Profit Maximization versus Purely Subjective Trade-offs
The Ultimate Measurement Instrument: Human Judges
Homo absurdus: The Weird Reasons behind Our Decisions
Getting Organized: A Performance Evaluation Example
Surprisingly Simple Linear Models
How to Standardize Any Evaluation: Rasch Models
Removing Human Inconsistency: The Lens Model
Panacea or Placebo?: Questionable Methods of Measurement
Comparing the Methods
New Measurement Instruments for Management
The Twenty-First-Century Tracker: Keeping Tabs with Technology
Measuring the World: The Internet as an Instrument
Prediction Markets: A Dynamic Aggregation of Opinions
A Universal Measurement Method: Applied Information Economics
Bringing the Pieces Together
Case: The Value of the System that Monitors Your Drinking Water
Case: Forecasting Fuel for the Marine Corps
Ideas for Getting Started: A Few Final Examples
Summarizing the Philosophy
Appendix: Calibration Tests (and Their Answers)
Index