The Impact of Individual Expertise and Public Information on Group Decision-Making.

Bibliographic Details
Main Author: Strunz, Ulrich G.
Format: eBook
Language:English
Published: Wiesbaden : Springer Fachmedien Wiesbaden GmbH, 2021.
Edition:1st ed.
Series:FOM-Edition Research Series
Subjects:
Online Access:Click to View
Table of Contents:
  • Intro
  • Acknowledgments
  • Contents
  • Acronyms and Abbreviations
  • List of Figures
  • List of Tables
  • 1 Introduction
  • 2 Theoretical Background
  • 2.1 Key Aspects for Real Economic Problem-Solving
  • 2.1.1 Well-Defined Problems
  • 2.1.2 Ill-Defined Problems
  • 2.1.3 Definitions of Complexity
  • 2.1.4 Ignoring Information
  • 2.1.5 Uncertainty
  • 2.2 The Role of Information in Decision-Making
  • 2.2.1 Definitions of Information
  • 2.2.2 Derivation of a Definition for Information
  • 2.2.3 Information Perturbing Events in Behavioral Experiments
  • 2.2.4 Making Decisions in a VUCA World
  • 2.3 Expert Knowledge and Problem-Solving
  • 2.3.1 Definition of Knowledge, Expertise and Expert Knowledge
  • 2.3.2 Expert Knowledge as a Resource
  • 2.3.3 The Role of Learning
  • 2.4 Agents Acting as Disturbances
  • 2.4.1 The Role of Feedback in Complex Problems Under Uncertainty
  • 2.4.2 Novel Problems, Real-World Problems, and Non-routine Tasks
  • 2.4.3 Problem Solving Search and Routine Strength
  • 2.4.4 NPS: Adaptation, Beliefs, Response Times and Emotion
  • 2.4.5 The Human Class: An Unbounded Set of Strategies
  • 2.5 A Network of Interdependent Beliefs
  • 2.5.1 From Game Theory to Behavioral Game Theory
  • 2.5.2 Group Behavior
  • 3 General Research Objectives
  • 3.1 Summary of Key Findings
  • 3.2 Model for Empirical Research
  • 3.3 Experimental Framework for Research Objectives
  • 4 Empirical Research Design
  • 4.1 Development and Materials
  • 4.1.1 Software Development Process
  • 4.1.2 Legacy Version of Experiment
  • 4.1.3 Problems with Legacy Experiment
  • 4.1.4 Curiosity IO-Structure and Functionality
  • 4.1.5 "Tower of Hanoi" Example Session
  • 4.1.6 Example Session Data Output
  • 4.1.7 Response Time and Input
  • 4.1.8 States Derived from State-Space
  • 4.1.9 Move States
  • 4.1.10 Operator Output Function
  • 4.1.11 State Output Function.
  • 4.1.12 Logic and Expected States
  • 4.2 Participants
  • 4.3 Procedure
  • 5 Specific Research Objectives
  • 5.1 Derivation of Hypotheses
  • 5.2 Hypotheses and Variables
  • 6 Results
  • 6.1 Testing For Nonparametric Distribution
  • 6.2 Expertise Rank and Logic Proportion
  • 6.3 Environmental Change and Human Error
  • 6.4 Information Conditions and Logic Deviation
  • 6.5 Complete Logic Proportions Over Information Conditions
  • 6.6 Expected States and Logic Proportion
  • 6.7 Expected States and Logic Marker Proportion
  • 6.8 Complete Expected States Over Information Conditions
  • 6.9 Routine Consistency
  • 6.10 Fundamental Strategy and Group Performance
  • 6.11 Group Expertise and Logic Proportions
  • 6.12 Gender Effects
  • 7 Discussion
  • 7.1 Discussion of Experimental Results
  • 7.2 Methodological Analysis
  • 7.3 Limitation
  • 7.4 Future Outlook
  • 8 Conclusion
  • Bibliography.