Become a Readings Member to make your shopping experience even easier. Sign in or sign up for free!

Become a Readings Member. Sign in or sign up for free!

Hello Readings Member! Go to the member centre to view your orders, change your details, or view your lists, or sign out.

Hello Readings Member! Go to the member centre or sign out.

Critical Thinking - A Force Multiplier
Hardback

Critical Thinking - A Force Multiplier

$69.99
Sign in or become a Readings Member to add this title to your wishlist.

The Author provides a summary of the definition, principles, and challenges related to Critical Thinking2 - A Force Multiplier. In business and management, one faces many challenges, especially uncertainty, lack of information, unpredictability, and ambiguity. Problems that need systematic analysis will invariably arise. The fundamental proposition of this book is that "Critical Thinking2" lies at the interface of problem analysis and decision-making. Stepwise methodical problem analysis leads to decisive decision-making. This process precedes actual problem analysis and decision-making. Incisive comments about competence versus incompetence and the Dunning-Kruger effect ("If you don't know what you don't know," and the "confidence gap") are made in Chapter One, along with an in-depth discussion of intellectual curiosity, deliberation, and decision-making. Chapter Two covers the more common methodologies and techniques utilized in problem analysis, such as the Delphi technique; Strengths, Weaknesses, Opportunities, and Threats; the Cause and Effect (Fishbone or Ishikawa) diagram; Root Cause Analysis; Weighted Decision Matrix; Cost-Benefit Analysis; Breakeven Analysis; Probability Analysis; Sensitivity Analysis; Pareto Analysis; Analytic Hierarchy Process; Statistical Modeling (especially use of Linear Regression); Bayesian Analysis; Machine Learning; and Artificial Intelligence. An Introduction and overview to Statistics, especially the discussion of sample size, sample bias, statistical and practical significance, Linear Regression, the "Null" Hypothesis, the T-test, and F-test are discussed in Chapter Three. The distinction between "truths" and "facts," ending with an explanation of the contrasting correspondence and performance theories of "truth," is delved into in Chapter Four. The book emphasizes information, data, and "facts" as distinguished from "truth," but also examines misinformation, disinformation, and gaslighting. The Decision-Making process is an endpoint.

Read More
In Shop
Out of stock
Shipping & Delivery

$9.00 standard shipping within Australia
FREE standard shipping within Australia for orders over $100.00
Express & International shipping calculated at checkout

MORE INFO
Format
Hardback
Publisher
BookBaby
Country
United States
Date
19 July 2024
Pages
326
ISBN
9798350938951

The Author provides a summary of the definition, principles, and challenges related to Critical Thinking2 - A Force Multiplier. In business and management, one faces many challenges, especially uncertainty, lack of information, unpredictability, and ambiguity. Problems that need systematic analysis will invariably arise. The fundamental proposition of this book is that "Critical Thinking2" lies at the interface of problem analysis and decision-making. Stepwise methodical problem analysis leads to decisive decision-making. This process precedes actual problem analysis and decision-making. Incisive comments about competence versus incompetence and the Dunning-Kruger effect ("If you don't know what you don't know," and the "confidence gap") are made in Chapter One, along with an in-depth discussion of intellectual curiosity, deliberation, and decision-making. Chapter Two covers the more common methodologies and techniques utilized in problem analysis, such as the Delphi technique; Strengths, Weaknesses, Opportunities, and Threats; the Cause and Effect (Fishbone or Ishikawa) diagram; Root Cause Analysis; Weighted Decision Matrix; Cost-Benefit Analysis; Breakeven Analysis; Probability Analysis; Sensitivity Analysis; Pareto Analysis; Analytic Hierarchy Process; Statistical Modeling (especially use of Linear Regression); Bayesian Analysis; Machine Learning; and Artificial Intelligence. An Introduction and overview to Statistics, especially the discussion of sample size, sample bias, statistical and practical significance, Linear Regression, the "Null" Hypothesis, the T-test, and F-test are discussed in Chapter Three. The distinction between "truths" and "facts," ending with an explanation of the contrasting correspondence and performance theories of "truth," is delved into in Chapter Four. The book emphasizes information, data, and "facts" as distinguished from "truth," but also examines misinformation, disinformation, and gaslighting. The Decision-Making process is an endpoint.

Read More
Format
Hardback
Publisher
BookBaby
Country
United States
Date
19 July 2024
Pages
326
ISBN
9798350938951