Evidence-Based Decision-Making: How to Leverage Available Data and Avoid Cognitive Biases

Author:   Andrew D. Banasiewicz
Publisher:   Taylor & Francis Ltd
ISBN:  

9781138485198


Pages:   270
Publication Date:   18 March 2019
Format:   Hardback
Availability:   In Print   Availability explained
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Evidence-Based Decision-Making: How to Leverage Available Data and Avoid Cognitive Biases


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Full Product Details

Author:   Andrew D. Banasiewicz
Publisher:   Taylor & Francis Ltd
Imprint:   Routledge
Weight:   0.521kg
ISBN:  

9781138485198


ISBN 10:   1138485195
Pages:   270
Publication Date:   18 March 2019
Audience:   College/higher education ,  General/trade ,  Tertiary & Higher Education ,  General
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

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

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Author Information

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.

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