Intuition, Trust, and Analytics: 1st Edition (Hardback) book cover

Intuition, Trust, and Analytics

1st Edition

By Jay Liebowitz, Joanna Paliszkiewicz, Jerzy Gołuchowski

Auerbach Publications

266 pages | 31 B/W Illus.

Purchasing Options:$ = USD
Hardback: 9781138719125
pub: 2017-10-26
$135.00
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eBook (VitalSource) : 9781315195551
pub: 2017-10-25
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Description

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

Intuition. The Underpinnings of Intuition. How Intuition Affects Decision Making. Data, Insights, Models, and Decisions. The Missing Link—Experiential Learning. Cases of Intuition Outperforming Analytics. Trust. The Foundation of Trust. Trust and Organizational Leadership. Trust and Knowledge Sharing. Trust and Organizational Communication. Trust and Marketing. Trust and Social Media. Analytics. The Secret Sauce. Predictive Analytics. Prescriptive Analytics. Developing an Analytics Strategy. Looking Toward the Future with Cognitive Computing and AI.

About the Authors

Dr. Jay Liebowitz is the Distinguished Chair of Applied Business and Finance at Harrisburg University of Science and Technology. He previously was the Orkand Endowed Chair of Management and Technology in the Graduate School at the University of Maryland University College (UMUC). He served as 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-forprofits in capstone projects.

Dr. Joanna Paliszkiewicz holds the rank of University Professor at Warsaw University of Life Sciences – SGGW and Polish Japanese Academy of Information Technology. She is also adj. professor at the University of Vaasa in Finland. Dr. Joanna Paliszkiewicz is well recognized in Poland and abroad for her expertise in management issues: knowledge management and trust management. Currently, Dr. J. Paliszkiewicz serves as the deputy editor in chief of the international journal, Management and Production Engineering Review. She is vice president of Polish Association for Production Engineering and Information Technology & Supply Chain Management Association.

Dr. Jerzy Goluchowski has spent more than 40 years in the academic and business community. He is Full Professor at University of Economics in Katowice, where is currently the Dean of Faculty of Informatics and Communication; and Head of Knowledge Engineering Department. Since 2012 he has been serving as the President of Polish Society of Business Informatics. Prof. Jerzy Goluchowski is the member of editorial board of: Journal of Business Economics and Management, Polish Journal of Management Studies, and Business Informatics. Prof. Jerzy Goluchowski has published over 100 articles and 10 books. His publications are related to decision support systems, trust and knowledge management, leadership and information technology.

About the Series

Data Analytics Applications

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Subject Categories

BISAC Subject Codes/Headings:
COM021000
COMPUTERS / Database Management / General
COM021030
COMPUTERS / Database Management / Data Mining
MAT029000
MATHEMATICS / Probability & Statistics / General