Intuition, Trust, and Analytics
- Length: 290 pages
- Edition: 1
- Language: English
- Publisher: Auerbach Publications
- Publication Date: 2017-10-26
- ISBN-10: 1138719129
- ISBN-13: 9781138719125
- Sales Rank: #2073449 (See Top 100 Books)
In order to make informed decisions, there are three important elements: intuition, trust, and analytics. Intuition is based on experiential learning and recent research has shown that those who rely on their “gut feelings” may do better than those who don’t. Analytics, however, are important in a data-driven environment to also inform decision making. The third element, trust, is critical for knowledge sharing to take place. These three elements―intuition, analytics, and trust―make a perfect combination for decision making. This book gathers leading researchers who explore the role of these three elements in the process of decision-making.
Table of Contents
Section I: Intuition
Chapter 1: The Underpinnings of Intuition
Chapter 2: Intuition as a Complement to Analytics
Chapter 3: Data and Analytics: A Matter of Trust
Chapter 4: The Missing Link: Experiential Learning
Section II: Trust
Chapter 5: The Foundations of Trust
Chapter 6: Trust, Knowledge Management, and Organizational Performance: Predictors of Success in Leadership
Chapter 7: Trust and Knowledge Sharing: The Example of Higher Education in Poland
Chapter 8: Building Trust in Corporate Social Responsibility Reports
Chapter 9: Trust and Marketing
Chapter 10: Social Media and Trust
Section III: Analytics
Chapter 11: Advanced Analytics in Decision-Making
Chapter 12: Data, Insights, Models, and Decisions: Machine Learning in Context
Chapter 13: Flipping the Script: Key Conversations to Understanding the Business, Science, and Art of Fundraising and Its Synergies with Data Science
Chapter 14: Looking toward the Future with Cognitive Computing, AI, and Big Data Analytics
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