|  | The Influence of Framing on Oil and Gas Decision Making: An Overlooked Human Bias in
 Organizational Decision Making
 
  Table of Contents
 
Abstract
  
 Acknowledgements
  
 Chapter 1 Introduction
 1.1 Purpose
 1.2 Literature Review
  
 Chapter 2 General Background
 2.1 Definitions
 2.2 Definition of Decision Making
 2.3 Reducing Uncertainty
2.3.1 Statistics
 2.3.2 Data Mining, Machine Learning and Statistics
 2.3.3 Probability
 2.3.4 Expected Value
 2.3.5 Bayesian Rule
 2.3.6 Fuzzy Logic
 2.3.7 Operations Research
 2.3.8 Formal Decision-Making Process
 2.3.9 Real Options
2.4 Making the Decision (Choosing)
2.4.1 Normative Approach
 2.4.2 Expected Utility Principle
 2.4.4 Game Theory
 2.4.5 Descriptive Approach
 2.4.6 Heuristics and Biases
 2.4.7 Availability
 2.4.8 Anchor and Adjust
 2.4.9 Representativeness
2.5 Prospect Theory
2.5.1 Empirical Research on Prospect Theory
 2.5.2 Asian Disease Experiment
 2.6 Decision Frames
 2.6.1 Medical Decision Making
 2.6.2 Framing Effects and Remediation by Formal Training
 2.6.3 Difference Between Clinical and Oil and Gas Decision Making
 2.6.4 Framing in Oil and Gas
2.7 Biases in Oil and Gas
2.7.1 Sunk Cost
 2.7.2 Existence of a Prior Account
 2.7.3 Probability and Risk Perception
 2.7.4 Motivational Biases
 2.7.5 Social Influences
 2.7.6 Real Options Framing
2.8 Research Scope
2.8.1 Hypotheses
  
Chapter 3 Methods
 3.1 Experimental Design
3.1.1 Questionnaire
 3.1.2 Participants
  
Chapter 4 Results
 4.1 Overall Survey Response
 4.2 Survey Results
4.2.1 Decision 1
 4.2.2 Decision 2
 4.2.3 Decision 3
 4.2.4 Decision 4
 4.2.5 Summary of Framing Results
  
Chapter 5 Discussion
 5.1 Discussion of Hypotheses
5.1.1 Hypothesis 1
 5.1.2 Hypothesis 2
 5.1.3 Hypothesis 3
 5.1.4 Hypothesis 4
5.2 Difference Between Actual and Survey Conditions
 5.3 Are Experts Immune?
 5.4 Practical And Economic Aspects
5.4.1 Oil Shale Project
 5.4.2 Horizontal Well Project
 5.4.3 Decision to Invest $2.8 billion for an Offshore Platform
 5.4.4 Reserves
 5.4.5 Production Rate
 5.4.6 Price Forecasts
 5.4.7 Development Costs and Timing
5.5 Future Work
  
 Chapter 6 Conclusions and Recommendations
 6.1 Conclusions
 6.2 Recommendations
  
 References Cited
  
 Selected Bibliography
  
 Appendices
 Appendix 1 Dominance Matrices
 Appendix 2 Actual Surveys Sent Out
 Appendix 3 Databases Searched and Search Criteria
 Appendix 3 Explanation of Chi-square Test
 
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