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Home > Computing and Information Technology > Computer science > Bursting the Big Data Bubble: The Case for Intuition-Based Decision Making
Bursting the Big Data Bubble: The Case for Intuition-Based Decision Making

Bursting the Big Data Bubble: The Case for Intuition-Based Decision Making


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About the Book

As we get caught up in the quagmire of big data and analytics, it is important to be able to reflect and apply insights, experience, and intuition as part of the decision-making process. This book focuses on this intuition-based decision making. The first part of the book presents contributions from leading researchers worldwide on the topic of intuition-based decision making as applied to management. In the second part, executives and senior managers in industry, government, universities, and not-for-profits present vignettes that illustrate how they have used intuition in making key decisions.

Table of Contents:
Research Track. Researching Intuition: A Curious Passion. Feeling Our Way with Intuition. Stories of Intuition-Based Decisions: Evidence for Dual Systems of Thinking. Heuristic, Intuition, or Impulse: How to Tell the Difference and Why It Is Important to Decision Makers. Making Effective Decisions by Integrating: Interaction of Reason and Intuition. Intuition: A Decision Aid in Academe. Capital Decisions in the Retail Industry. Practice Track. Intuition and Crisis Leadership. Intuition: The Competitive Differential for Successful Leaders. Giving Voice to Intuition in Overcoming Moral Distress. Actively Listening to Better Respond to Health and Development Needs. Intuitive and Analytical Decision Making. Delivering Success Through Integration of Quantitative and Qualitative Models. Managing Projects as Though People Mattered: Using Soft Skills and Project Management Tools for Successful Enterprise Transformation. Harness Common Sense for Decision Making. Ten Commandments of Computer Ethics: A Case Study in Intuition-Based Decision Making. ...

About the Author :
Dr. Jay Liebowitz is the DiSanto Visiting Chair in Applied Business and Finance, Harrisburg University of Science and Technology in Pennsylvania. He was previously the Orkand Endowed Chair of Management and Technology in the Graduate School at the University of Maryland University College and was also a professor in the Carey Business School at Johns Hopkins University. He was ranked one of the top 10 knowledge management researchers/practitioners out of 11,000 worldwide, and was ranked #2 in KM Strategy worldwide according to the January 2010 Journal of Knowledge Management. At Johns Hopkins University, he was the founding Program Director for the Graduate Certificate in Competitive Intelligence and the Capstone Director of the MS-Information and Telecommunications Systems for Business Program, where he engaged over 30 organizations in industry, government, and not-for-profits in capstone projects. Prior to joining Hopkins, Dr. Liebowitz was the first Knowledge Management Officer at NASA Goddard Space Flight Center. Before NASA, Dr. Liebowitz was the Robert W. Deutsch Distinguished Professor of Information Systems at the University of Maryland-Baltimore County, Professor of Management Science at George Washington University, and Chair of Artificial Intelligence at the U.S. Army War College. Dr. Liebowitz is the Founder and Editor-in-Chief of Expert Systems With Applications: An International Journal (Elsevier), which is ranked third worldwide for intelligent systems/AI-related journals, according to the most recent Thomson impact factors. The ESWA Journal had 1.8 million articles downloaded worldwide in 2011. He is a Fulbright Scholar, IEEE-USA Federal Communications Commission Executive Fellow, and Computer Educator of the Year (International Association for Computer Information Systems). He has published over 40 books and a myriad of journal articles on knowledge management, intelligent syste


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Product Details
  • ISBN-13: 9781482228878
  • Publisher: Taylor & Francis Inc
  • Publisher Imprint: Auerbach Publishers Inc.
  • Language: English
  • ISBN-10: 1482228874
  • Publisher Date: 25 Jul 2014
  • Binding: Digital (delivered electronically)
  • Sub Title: The Case for Intuition-Based Decision Making


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