Andrew D. Banasiewicz

Evidence-Based Decision-Making (eBook, PDF)

How to Leverage Available Data and Avoid Cognitive Biases

• Format: PDF

Produktbeschreibung

This book examines how a wide range of factual evidence can be used to improve the quality of business decision-making, by helping decision makers circumvent various cognitive biases.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 282
• Erscheinungstermin: 4. März 2019
• Englisch
• ISBN-13: 9781351050067
• Artikelnr.: 55650505

Autorenporträt

Dr. Andrew D. Banasiewicz is the director of data science and analytics programs at Merrimack College, a professor of business analytics at Cambridge College, and the founder of Erudite Analytics, a data analytical consultancy focused on risk assessment.

Inhaltsangabe

Part I: Decision-Making Challenges
Chapter 1: Subjective Evaluations
Thinking and Games
Mind vs. Machine
Learning and Remembering
The Decision-Making Brain
Chapter 2: Non-Generalizable Objectivity
Familiar Clues
Anecdotal Evidence
Best Practices & Benchmarks
Non-Representative Samples
Chapter 3: Mass Analytics
Digitization of Life
Data as the New Normal
Data in Organizations
The Analytics Industry
Part II: Evidence-Based Practice
Chapter 4: Evidence-Based Movement
The Practice and Science of Management
Evidence-Based Practice
The Road Ahead
Chapter 5: The Essence of Evidence
What is Evidence?
Empirical Evidence
Research Evidence
Experiential Evidence
Internalizing Evidence
Part III: The Empirical & Experiential Evidence Framework
Chapter 6: Probabilistic Thinking
Decision Uncertainty
Evidence Pooling
Cross-Type Amalgamation
Chapter 7: The 3E Framework
Organizational Decision-Making
The Empirical & Experiential Evidence Framework
Insight Extraction
Believability of Evidence
Chapter 8: Sourcing & Assessing: Operational Data
Data, Research, and Decision-Making
Probabilistic Analyses of Organizational Data
Operational Data and Databases
Getting Started with Operational Data
Exploring Operational Data
Exploratory Data Analysis
Confirmatory Data Analysis
Chapter 9: Sourcing & Assessing: Research, Norms, and Judgment
Thematic Analyses of Empirical Research
Summarizing Norms & Standards
Pooling Expert Judgment
Part IV: Evidence-Based Decision-Making in Organizations
Chapter 10: Internal Design & Dynamics
Organizations as Human Collectives
Business Organizations
Organizations and Decision-Making
The 3E Framework & Organizational Dynamics
Chapter 11: External Forces & Influences
External Forces
Non-Systematic Influences