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

Edited by (Harrisburg University of Science and Technology, Pennsylvania, USA)
  • Formāts: 351 pages
  • Izdošanas datums: 25-Jul-2014
  • Izdevniecība: Apple Academic Press Inc.
  • Valoda: eng
  • ISBN-13: 9781040074985
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  • Formāts: 351 pages
  • Izdošanas datums: 25-Jul-2014
  • Izdevniecība: Apple Academic Press Inc.
  • Valoda: eng
  • ISBN-13: 9781040074985
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"Preface Why a book on intuition-based decision making? Is it because a November, 2012 research study at Tel Aviv University found that executives were 90% accurate in their decisions when relying on just their intuition? Is it because, according to Akinci and Sadler-Smith's 2011 historical review of "Intuition in Management Research," intuition research in management has been conducted since the 1950s and there continues to be a need for greater cross-disciplinary collaboration and integration? Or perhaps do we want to challenge the "Big Data" community to show, as evidenced by Woiceshyn's 2009 research on how CEOs use intuition, that intuition should also be applied to complement rational analysis? Daniel Kahneman talked about the two systems (System 1as intuition and System 2 as deliberative thinking) and their interaction. In Moxley et al.'s 2012 research on these two systems, their finding was that both experts and less skilled individuals benefit significantly from extra deliberation no matter howeasy or difficult the problem. This book does not assume that "rational thought," or data-based decision making, should not be used when making decisions, especially those that are important and complex. However, the book wants to emphasize further the importance of applying intuition, gut feel, spirituality, experiential learning, and insight as key factors in an executive's decision-making process"--

"With the onslaught of the Big Data revolution, data-based decision making and analytics are now the rage. However, many key decision makers often make complementary judgments based on intuition. This intuition is often insight-based due to their experiential learning, ephemeral factors like spirituality, and other related factors. This book focuses on this intuition-based decision making. It presents stories and vignettes from leaders and senior executives in industry, academe, government, and not-for-profits"--

As we get caught up in the quagmire of Big Data and analytics, it remains critically important to be able to reflect and apply insights, experience, and intuition to your decision-making process. In fact, a recent research study at Tel Aviv University found that executives who relied on their intuition were 90 percent accurate in their decisions.

Bursting the Big Data Bubble: The Case for Intuition-Based Decision Making focuses on this intuition-based decision making. The book does not discount data-based decision making, especially for decisions that are important and complex. Instead, it emphasizes the importance of applying intuition, gut feel, spirituality, experiential learning, and insight as key factors in the executive decision-making process.

Explaining how intuition is a product of past experience, learning, and ambient factors, the text outlines methods that will help to enhance your data-driven decision-making process with intuition-based decision making. The first part of the book, the "Research Track", presents contributions from leading researchers worldwide on the topic of intuition-based decision making as applied to management.

In the second part of the book, the "Practice Track," global executives and senior managers in industry, government, universities, and not-for-profits present vignettes that illustrate how they have used their intuition in making key decisions.

The research part of the book helps to frame the problem and address leading research in intuition-based decision making. The second part then explains how to apply these intuition-based concepts and issues in your own decision-making process.

Preface ix
About The Editor xiii
Contributors xv
Part I Research Track
Chapter 1 Researching Intuition: A Curious Passion
3(18)
Eugene Sadler-Smith
Chapter 2 Feeling Our Way With Intuition
21(18)
Martin Robson
Chapter 3 Stories Of Intuition-Based Decisions: Evidence For Dual Systems Of Thinking
39(20)
Cinla Akinci
Chapter 4 Heuristic, Intuition, Or Impulse: How To Tell The Difference And Why It Is Important To Decision Makers
59(14)
James Howard
Chapter 5 Making Effective Decisions By Integrating: Interaction Of Reason And Intuition
73(14)
Jaana Woiceshyn
Chapter 6 Intuition: A Decision Aid In Academe
87(8)
Lisa A. Burke-Smalley
Chapter 7 Capital Decisions In The Retail Industry
95(14)
Denise Chenger
Part II Practice Track
Chapter 8 Intuition And Crisis Leadership
109(12)
Eric J. Mcnulty
Leonard J. Marcus
Barry C. Dorn
Chapter 9 Intuition: The Competitive Differential For Successful Leaders
121(10)
Susan K. Neely
Chapter 10 Giving Voice To Intuition In Overcoming Moral Distress
131(10)
Lynn Pasquerella
Caroline S. Clauss-Ehlers
Chapter 11 Actively Listening To Better Respond To Health And Development Needs
141(8)
Tara M. Sullivan
Chapter 12 Intuitive And Analytical Decision Making
149(12)
Donald S. Orkand
Chapter 13 Qqq-Delivering Success Through Integration Of Quantitative And Qualitative Models Or "None Of Us Is As Smart As All Of Us"
161(16)
John L. Jacobs
Chapter 14 Appendix Named Filipe
177(10)
Marta Sinclair
Chapter 15 Managing Projects As Though People Mattered: Using Soft Skills And Project Management Tools For Successful Enterprise Transformation
187(16)
David F. Rico
Chapter 16 Harness Common Sense For Decision Making
203(10)
Simon Y. Liu
Chapter 17 Ten Commandments Of Computer Ethics: A Case Study In Intuition-Based Decision Making
213(12)
Ramon C. Barquin
Chapter 18 Don't Take It Personal: An Intuitive Approach To A Simple But Delicate Matter
225(10)
Joan Marques
Chapter 19 Let's Have A Knowledge Conference!
235(8)
Lesley-Ann Shneier
Chapter 20 Coping In A Big Data Environment: Analytics And Alignment With Organizational Change And Learning
243(16)
David Harper
Ramesh Menon
Chapter 21 Solving An Employee Turnover Issue Through Offshore Outsourcing
259(10)
Andrew Iserson
Chapter 22 Why I Continued When Reason And Logic Dictated Otherwise
269(10)
Melanie P. Cohen
Chapter 23 Decision Making: Intuitive, Evidence, Or Hybrid Approach?
279(6)
Michelle Mason
Chapter 24 Conquering The "We Don't Know What We Don't Know" Dilemma By Connecting People To Experts
285(12)
Linda Hummel
Chapter 25 Intuition: How Experience And Values Helped Create A Successful Career
297(12)
Rick Smith
Chapter 26 Application Of Intuition-Based Management In An Administrative Project: An Airport Industry Case (Frankfurt Airport)
309(14)
Dieter H. Fruauff
Marion Kahrens
Index 323
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