Bøger af Jay Liebowitz

A recent study found that most business leaders believe in the value of using data and analytics, but say they lack confidence in measures of their effectiveness. In the data analytics community, intuition has been rarely discussed in executive decision-making. The book examines how well do executives trust their intuition.

A recent study found that most business leaders believe in the value of using data and analytics, but say they lack confidence in measures of their effectiveness. In the data analytics community, intuition has been rarely discussed in executive decision-making. The book examines how well do executives trust their intuition.

A timely collection of chapters to guide managers dealing with the COVID-19 Pandemic, this book starts with a review of lessons learned from the early days of the pandemic. It then discusses the challenges and solutions for the supply chain, virtual business, IT infrastructure, the work from home environment, and online education.

Some of the hottest topics today involve cryptocurrency, and FinTech. With all these trends, businesses need to become better informed. This book provides an easy-to-read, yet comprehensive, view of cryptocurrency in the U.S. and international markets, as well as the key issues, technologies, applications, challenges, and trends.

Some of the hottest topics today involve cryptocurrency, and FinTech. With all these trends, businesses need to become better informed. This book provides an easy-to-read, yet comprehensive, view of cryptocurrency in the U.S. and international markets, as well as the key issues, technologies, applications, challenges, and trends.

With organizations searching for cutting-edge methods and techniques for creating, storing, capturing, managing, organizing, distributing, combining, and retrieving knowledge, never before has the need for a reference like this one been so great. Jay Liebowitz's Building Organizational Intelligence: A Knowledge Management Primer describes concepts,

President Bush's number-one management initiative for the federal government is the Strategic Management of Human Capital. This book addresses various government agencies that are required to develop a plan by 2005.

Recognizes synergies among component pieces of strategic intelligence, and demonstrates how executives can use this information toward making better decisions. This book discusses the convergence of knowledge management (KM), business intelligence (BI), and competitive intelligence (CI) into what the author defines as strategic intelligence.

There are a myriad of books that have been published on knowledge management. However, very few of these books give the practical know-how of what truly is needed in the information professional/manager's mind:* How to make the decision whether knowledge management is right for you* How to explain the pros and cons of the various knowledge management alternatives/solutions* How to determine which knowledge management solution, if any, is the best fit with your organizational culture* How to explain the way to show the expected value-added benefits of using knowledge management* How to discuss lessons learned in applying knowledge management (i.e. how others have utilized KM techniques for enhanced decision making)This book is an applied and concise guide, based on the author's many years of experience, addressing these areas. Tools developed by the author (e.g., knowledge audit instruments, knowledge access and sharing surveys, techniques for determining knowledge management success, etc.) are included.

Social network analysis (SNA) is a technique that is used to determine knowledge flows and gaps in mapping social networks for various knowledge types. Social Networking: The Essence of Innovation discusses how social networking and SNA can influence innovation in an organization through the presentation of a broad range of concepts, examples, and case studies.The book's initial chapters deal with developing personal knowledge networks, linking social networking to innovation and strategic intelligence, and exploring synergies among knowledge management, business intelligence, and competitive intelligence. The introduction, an overview of social network analysis, is followed by case studies and an exploration of applications, including knowledge mapping and the analysis of organizations. Software systems devoted to these areas are described, citing results achieved, and a final chapter takes a look at future prospects, making this an essential tool for managers, executives, business analysts, educators, and strategic planners.

The time has come for Knowledge Management (KM) professionals to appreciate the synergy between their work and the work of their counterparts in Knowledge Engineering (KE). Knowledge Management: Learning from Knowledge Engineering is the ideal starting point for those in KM to learn from and exploit advances in that field, and thereby advance their

An Introduction. This book explains how to use business analytics to sort through an ever-increasing amount of data and improve the decision-making capabilities of an organization. Covering the key areas of business analytics, the book explores the concepts, techniques, applications, and emerging trends that professionals across a wide range of industries need to be aware of. It also examines legal and privacy issues and explores social media in analytics. With this book, readers can develop the understanding required to use Big Data and high-performance computing in complex environments to improve strategic decision making.

The book looks at the question: How well do executives trust their intuition? In other words, do they typically prefer intuition over analysis/analytics, and what types of intuition (Holistic-Big Picture, Holistic-Abstract, Affective Intuition, Inferential Intuition) may be most favorable looking at different variables?

A collection of case Studies and vignettes that give clear-cut examples of how organisations use knowledge management.

Corporations, businesses and organizations in the public and private sectors search for new cutting-edge methods and techniques for creating, storing, capturing, managing, organizing, distributing, combining, and retrieving knowledge. This book helps achieve this task of accomplishing such functions.

The time has come for Knowledge Management (KM) professionals to appreciate the synergy between their work and the work of their counterparts in Knowledge Engineering (KE). Based upon research and analyses, this book integrates the theory and practice of artificial intelligence and systems with the organizational and strategic aspects of KM.

Details a proactive approach to knowledge retention. This work explains how to identify at risk knowledge areas, and then demonstrates how to keep those areas from becoming knowledge vacuums. IT cites case studies from organizations that have become models for knowledge retention.