Jay Liebowitz - Böcker

Successes and Failures of Knowledge Management highlights examples from across multiple industries, demonstrating where the practice has been implemented well-and not so well-so others can learn from these cases during their knowledge management journey.

Knowledge management deals with how best to leverage knowledge both internally and externally in organizations to improve decision-making and facilitate knowledge capture and sharing. It is a critical part of an organization's fabric, and can be used to increase innovation, improve organizational internal and external effectiveness, build the institutional memory, and enhance organizational agility.

Starting by establishing KM processes, measures, and metrics, the book highlights ways to be successful in knowledge management institutionalization through learning from sample mistakes and successes. Whether an organization is already implementing KM or has been reluctant to do so, the ideas presented will stimulate the application of knowledge management as part of a human capital strategy in any organization.

Provides keen insights for knowledge management practitioners and educators Conveys KM lessons learned through both successes and failures Includes straightforward, jargon-free case studies and research developed by the leading KM researchers and practitioners across industries

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.

This book examines how to develop the main traits that are necessary to become an “informed intuitant”. Case studies and examples of successful “informed intuitants” are a major component of the book. “Intuitant” is someone who has the intuitive awareness to be successful. “Informed intuitant” indicates that the individual/decision maker not only applies his/her intuition but also verifies it through using data-driven approaches (such as data analytics). Some of this work resulted from research examining how well do executives trust their intuition.

Most academics still wrestle with the "publish or perish" phenomenon. Based on Dr. Liebowitz’s 25 years serving as the editor-in-chief of a leading international journal, along with insights from some of the most knowledgeable journal editors, this book shares key lessons learned to help new professors, doctoral students, and practitioner–scholars increase their chances of being published in selective, refereed international journals. It focuses on the key practices needed to ensure journal publication, with interesting cases and helpful tips sprinkled throughout the book.A Guide to Publishing for Academics provides useful knowledge from leading journal editors of both traditional and online journals, as well as various tiers of journals. Although the focus is mainly in the business and IT areas, much of the guidance provided can cross into other fields. The book contains interesting vignettes and do’s and don’ts so that potential authors can understand what goes on behind the scenes once the manuscript arrives on the journal editor’s desk.The book provides constructive guidance on choosing what and where to publish, what to consider when writing a title for a paper, how to prepare and submit journal manuscripts, and how to position a paper for publication. It also has valuable information for current and future journal editors, including models of editing and editorial boards, editorial coaching advice, and editing smart practices. With the information in this book, the next generation of academics and practitioner–scholars will be well equipped to overcome the publish or perish phenomenon.

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.

Recent research shows that collaboration and social networking foster knowledge sharing and innovation by sparking new connections, ideas, and practices. Yet these informal networks are often misunderstood and poorly managed. Building on the groundbreaking, bestselling first edition, Knowledge Management Handbook: Collaboration and Social Networking, Second Edition focuses on two key elements in knowledge management: collaboration and social networking. To Innovate, Connect the PeopleJay Liebowitz, one of the top knowledge management authorities in the world, brings together 15 articles by researchers and practitioners who are among the leaders in their fields. They present numerous applications, concepts, techniques, methodologies, issues, and trends related to collaboration and social networking in a knowledge management context. They also point out areas that need more work, such as how to measure the impact of knowledge-sharing efforts in terms of innovation, profits, and customer perceptions.What Can You Learn from Your Informal Organization?Packed with case studies, this handbook explores how you can share knowledge, make connections, and generate new ideas through collaboration and interaction. It is a valuable reference and classroom text for those engaged in knowledge management, particularly from a collaboration and social networking perspective.

Strategic intelligence (SI) has mostly been used in military settings, but its worth goes well beyond that limited role. It has become invaluable for improving any organization's strategic decision making process. The author of Strategic Intelligence: Business Intelligence, Competitive Intelligence, and Knowledge Management recognizes synergies among component pieces of strategic intelligence, and demonstrates how executives can best use this internal and external information toward making better decisions.Divided into two major parts, the book first discusses the convergence of knowledge management (KM), business intelligence (BI), and competitive intelligence (CI) into what the author defines as strategic intelligence. The second part of the volume describes case studies written by recognized experts in the fields of KM, BI, and CI. The case studies include strategic scenarios at Motorola, AARP, Northrop Grumman, and other market leaders.About the EditorJay Liebowitz, D.Sc., is a full professor in the Graduate Division of Business and Management and program director for the Graduate Certificate in Competitive Intelligence at Johns Hopkins University.The first knowledge management officer at NASA Goddard Space Flight Center, he also served as 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 Chaired Professor of Artificial Intelligence (AI) at the U.S. Army War College. A founder and chairperson of The World Congress on Expert Systems, he is a Fulbright Scholar, IEEE-USA Federal Communications Commission Executive Fellow, and Computer Educator of the Year (International Association for Computer Information Systems).

The Handbook of Applied Expert Systems is a landmark work dedicated solely to this rapidly advancing area of study. Edited by Jay Liebowitz, a professor, author, and consultant known around the world for his work in the field, this authoritative source covers the latest expert system technologies, applications, methodologies, and practices. The book features contributions from more than 40 of the world's foremost expert systems authorities in industry, government, and academia.The Handbook is organized into two major sections. The first section explains expert systems technologies while the second section focuses on applied examples in a wide variety of industries. Key topics covered include fuzzy systems, genetic algorithm development, machine learning, knowledge representation, and much more.

Knowledge Management (KM) is strongly rooted in the discipline of Knowledge Engineering (KE), which in turn grew partly out of the artificial intelligence field. Despite their close relationship, however, many KM specialists have failed to fully recognize the synergy or acknowledge the power that KE methodologies, techniques, and tools hold for enhancing the state of the art in Knowledge Management.Knowledge Management: Learning from Knowledge Engineering addresses this vacuum. It gives concise, practical information and insights drawn from the author's many years of experience in the fields of expert systems and Knowledge Management. Based upon research, analyses, and illustrative case studies, this is the first book to integrate the theory and practice of artificial intelligence and expert systems with the current organizational and strategic aspects of Knowledge Management.The time has come for Knowledge Management professionals to appreciate the synergy between their work and the work of their counterparts in Knowledge Engineering. 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 own.

"Sharing knowledge is power." If ever there were a field to which this applies, it is the knowledge management industry. And in today's highly-competitive, fast-paced business world, corporations, businesses and organizations in both the public and private sectors are constantly searching for new cutting-edge methods and techniques for creating, storing, capturing, managing, organizing, distributing, combining, and retrieving knowledge. But the task of accomplishing such functions is not as simple as it sounds. Jay Liebowitz's Building Organizational Intelligence: A Knowledge Management Primer gives executives, managers, systems analysts, and other knowledge-management professionals the competitive edge they need in achieving that task. In a concise and easy-to-read format, the book describes the concepts, techniques, methodologies, and tools associated with those functions, and includes mini-case studies and vignettes of how industry is developing and applying these functions towards building organizational intelligence.What's more, the book is packaged with a limited functionality version of "WisdomBuilder," the first in a family of knowledge-management tools that provide a fully integrated solution to the information management and analysis dilemma. Able to run under Windows 95, 98 and NT, "WisdomBuilder" solves the information overload problem by reducing the time and cost of extracting information and other research knowledge from disorganized repositories of heterogeneous data.

Analytics and artificial intelligence (AI), what are they good for? The bandwagon keeps answering, absolutely everything! Analytics and artificial intelligence have captured the attention of everyone from top executives to the person in the street. While these disciplines have a relatively long history, within the last ten or so years they have exploded into corporate business and public consciousness. Organizations have rushed to embrace data-driven decision making. Companies everywhere are turning out products boasting that "artificial intelligence is included." We are indeed living in exciting times. The question we need to ask is, do we really know how to get business value from these exciting tools?Unfortunately, both the analytics and AI communities have not done a great job in collaborating and communicating with each other to build the necessary synergies. This book bridges the gap between these two critical fields. The book begins by explaining the commonalities and differences in the fields of data science, artificial intelligence, and autonomy by giving a historical perspective for each of these fields, followed by exploration of common technologies and current trends in each field. The book also readers introduces to applications of deep learning in industry with an overview of deep learning and its key architectures, as well as a survey and discussion of the main applications of deep learning. The book also presents case studies to illustrate applications of AI and analytics. These include a case study from the healthcare industry and an investigation of a digital transformation enabled by AI and analytics transforming a product-oriented company into one delivering solutions and services. The book concludes with a proposed AI-informed data analytics life cycle to be applied to unstructured data.

Nations and businesses across the globe have been working through the difficulties of dealing with the COVID-19 pandemic. Industry, academia, NGOs, and governments have been "feverishly" searching for ways to address this deadly virus, which may continue to spread for at least the next year and perhaps beyond (in terms of a resurgence and different strains). From a business standpoint, there have been dramatic effects on logistics and supply chains, economic downfalls, bailouts of major industries and small businesses, and far-reaching calamities from around the world. Even though the COVID-19 story is still in its making, this book focuses on the business of pandemics as applied to COVID-19. The book brings together a global panel of experts across industries and NGOs to help guide business executives and managers through the complex array of issues affecting business in the time of a pandemic. Offering solutions to the business of pandemics as applied to COVID-19, the book is written for organizational decision makers and leaders, as well as those involved in crisis management, public health, and related fields. Its chapters focus on key areas that relate to the business of pandemics, including Lessons learned to date Big data and simulation Logistics and supply-chain management challenges Conducting global business virtually Global economic impact Media and risk communication IT infrastructure and networking Social impact Online learning and educational innovations The new work-from-home environment Re-opening markets and businesses Crisis decision making using analytics and intuition With chapters authored by experts from leading organizations, including the World Health Organization, the RAND Corporation, and various universities throughout the world, The Business of Pandemics: The COVID-19 Story provides high-level guidance and insight for business leaders who must deal with the complexities and challenges presented by this unprecedented crisis.

Nations and businesses across the globe have been working through the difficulties of dealing with the COVID-19 pandemic. Industry, academia, NGOs, and governments have been "feverishly" searching for ways to address this deadly virus, which may continue to spread for at least the next year and perhaps beyond (in terms of a resurgence and different strains). From a business standpoint, there have been dramatic effects on logistics and supply chains, economic downfalls, bailouts of major industries and small businesses, and far-reaching calamities from around the world. Even though the COVID-19 story is still in its making, this book focuses on the business of pandemics as applied to COVID-19. The book brings together a global panel of experts across industries and NGOs to help guide business executives and managers through the complex array of issues affecting business in the time of a pandemic. Offering solutions to the business of pandemics as applied to COVID-19, the book is written for organizational decision makers and leaders, as well as those involved in crisis management, public health, and related fields. Its chapters focus on key areas that relate to the business of pandemics, including Lessons learned to date Big data and simulation Logistics and supply-chain management challenges Conducting global business virtually Global economic impact Media and risk communication IT infrastructure and networking Social impact Online learning and educational innovations The new work-from-home environment Re-opening markets and businesses Crisis decision making using analytics and intuition With chapters authored by experts from leading organizations, including the World Health Organization, the RAND Corporation, and various universities throughout the world, The Business of Pandemics: The COVID-19 Story provides high-level guidance and insight for business leaders who must deal with the complexities and challenges presented by this unprecedented crisis.

Analytics and artificial intelligence (AI), what are they good for? The bandwagon keeps answering, absolutely everything! Analytics and artificial intelligence have captured the attention of everyone from top executives to the person in the street. While these disciplines have a relatively long history, within the last ten or so years they have exploded into corporate business and public consciousness. Organizations have rushed to embrace data-driven decision making. Companies everywhere are turning out products boasting that "artificial intelligence is included." We are indeed living in exciting times. The question we need to ask is, do we really know how to get business value from these exciting tools?Unfortunately, both the analytics and AI communities have not done a great job in collaborating and communicating with each other to build the necessary synergies. This book bridges the gap between these two critical fields. The book begins by explaining the commonalities and differences in the fields of data science, artificial intelligence, and autonomy by giving a historical perspective for each of these fields, followed by exploration of common technologies and current trends in each field. The book also readers introduces to applications of deep learning in industry with an overview of deep learning and its key architectures, as well as a survey and discussion of the main applications of deep learning. The book also presents case studies to illustrate applications of AI and analytics. These include a case study from the healthcare industry and an investigation of a digital transformation enabled by AI and analytics transforming a product-oriented company into one delivering solutions and services. The book concludes with a proposed AI-informed data analytics life cycle to be applied to unstructured data.

President Bush's number-one management initiative for the federal government is the Strategic Management of Human Capital. According to Knowledgeworkers.com, human capital is the accumulated value of an individual's intellect, knowledge, and experience. In the U.S. federal government, a human capital crisis exists. The factors contributing to a human capital dilemma include a knowledge bleed due to retirement eligibility, changing perspectives on work, and escalating knowledge loss. According to a Joint Hearing on the Federal Human Capital, by 2005, more than half of the 1.8 million non-postal civilian employees will be eligible for early or regular retirement. An even greater percentage of the Senior Executive Service, the government's core managers, will be eligible to leave.All government agencies are required to develop a human capital strategy by 2005. Many of these agencies have scored a "red" (lowest rating) on the Government Scorecard in the way they are approaching their strategic management of human capital. This book is an executive briefing on developing a successful human capital strategy based on lessons learned from analyzing existing strategies at government agencies such as NASA.Using a knowledge management perspective, Liebowitz identifies four pillars of an effective strategy and gives examples of these in practice.

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.

Knowledge management is the process of creating value from an organization's intangible assets. It is generally concerned with four major types of capital: human, the brainpower of the employees; structural, such as intellectual property rights or databases; social, knowledge acquired from customers and stakeholders; and competitive, knowledge learned about or from an organization's competitors. This concise, easy-to-read book provides guidance on the value and importance of knowledge management for organizations.Many organizations are reluctant to invest in knowledge management (KM) and competitive intelligence (CI) initiatives for their company's use. In his newest book, Jay Liebowitz discusses how value-added benefits can be derived from such efforts, with concepts and cases presented. Making Cents Out of Knowledge Management focuses on demonstrating ways to show the value of knowledge in organizations and discusses methods to measure knowledge management outcomes. Reinforcing these concepts are representative cases from leading practitioners and educators of how organizations have been doing this worldwide.

Knowledge Management (KM) is strongly rooted in the discipline of Knowledge Engineering (KE), which in turn grew partly out of the artificial intelligence field. Despite their close relationship, however, many KM specialists have failed to fully recognize the synergy or acknowledge the power that KE methodologies, techniques, and tools hold for enhancing the state of the art in Knowledge Management.Knowledge Management: Learning from Knowledge Engineering addresses this vacuum. It gives concise, practical information and insights drawn from the author's many years of experience in the fields of expert systems and Knowledge Management. Based upon research, analyses, and illustrative case studies, this is the first book to integrate the theory and practice of artificial intelligence and expert systems with the current organizational and strategic aspects of Knowledge Management.The time has come for Knowledge Management professionals to appreciate the synergy between their work and the work of their counterparts in Knowledge Engineering. 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 own.

"Sharing knowledge is power." If ever there were a field to which this applies, it is the knowledge management industry. And in today's highly-competitive, fast-paced business world, corporations, businesses and organizations in both the public and private sectors are constantly searching for new cutting-edge methods and techniques for creating, storing, capturing, managing, organizing, distributing, combining, and retrieving knowledge. But the task of accomplishing such functions is not as simple as it sounds. Jay Liebowitz's Building Organizational Intelligence: A Knowledge Management Primer gives executives, managers, systems analysts, and other knowledge-management professionals the competitive edge they need in achieving that task. In a concise and easy-to-read format, the book describes the concepts, techniques, methodologies, and tools associated with those functions, and includes mini-case studies and vignettes of how industry is developing and applying these functions towards building organizational intelligence.What's more, the book is packaged with a limited functionality version of "WisdomBuilder," the first in a family of knowledge-management tools that provide a fully integrated solution to the information management and analysis dilemma. Able to run under Windows 95, 98 and NT, "WisdomBuilder" solves the information overload problem by reducing the time and cost of extracting information and other research knowledge from disorganized repositories of heterogeneous data.

The Handbook of Applied Expert Systems is a landmark work dedicated solely to this rapidly advancing area of study. Edited by Jay Liebowitz, a professor, author, and consultant known around the world for his work in the field, this authoritative source covers the latest expert system technologies, applications, methodologies, and practices. The book features contributions from more than 40 of the world's foremost expert systems authorities in industry, government, and academia.The Handbook is organized into two major sections. The first section explains expert systems technologies while the second section focuses on applied examples in a wide variety of industries. Key topics covered include fuzzy systems, genetic algorithm development, machine learning, knowledge representation, and much more.

Strategic intelligence (SI) has mostly been used in military settings, but its worth goes well beyond that limited role. It has become invaluable for improving any organization's strategic decision making process. The author of Strategic Intelligence: Business Intelligence, Competitive Intelligence, and Knowledge Management recognizes synergies among component pieces of strategic intelligence, and demonstrates how executives can best use this internal and external information toward making better decisions.Divided into two major parts, the book first discusses the convergence of knowledge management (KM), business intelligence (BI), and competitive intelligence (CI) into what the author defines as strategic intelligence. The second part of the volume describes case studies written by recognized experts in the fields of KM, BI, and CI. The case studies include strategic scenarios at Motorola, AARP, Northrop Grumman, and other market leaders.About the EditorJay Liebowitz, D.Sc., is a full professor in the Graduate Division of Business and Management and program director for the Graduate Certificate in Competitive Intelligence at Johns Hopkins University.The first knowledge management officer at NASA Goddard Space Flight Center, he also served as 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 Chaired Professor of Artificial Intelligence (AI) at the U.S. Army War College. A founder and chairperson of The World Congress on Expert Systems, he is a Fulbright Scholar, IEEE-USA Federal Communications Commission Executive Fellow, and Computer Educator of the Year (International Association for Computer Information Systems).

"In our increasingly digitally enabled education world, analytics used ethically, strategically, and with care holds the potential to help more and more diverse students be more successful on higher education journeys than ever before. Jay Liebowitz and a cadre of the fields best ‘good trouble’ makers in this space help shine a light on the possibilities, potential challenges, and the power of learning together in this work."—Mark David Milliron, Ph.D., Senior Vice President and Executive Dean of the Teachers College, Western Governors UniversityDue to the COVID-19 pandemic and its aftereffects, we have begun to enter the "new normal" of education. Instead of online learning being an "added feature" of K–12 schools and universities worldwide, it will be incorporated as an essential feature in education. There are many questions and concerns from parents, students, teachers, professors, administrators, staff, accrediting bodies, and others regarding the quality of virtual learning and its impact on student learning outcomes.Online Learning Analytics is conceived on trying to answer the questions of those who may be skeptical about online learning. Through better understanding and applying learning analytics, we can assess how successful learning and student/faculty engagement, as examples, can contribute towards producing the educational outcomes needed to advance student learning for future generations. Learning analytics has proven to be successful in many areas, such as the impact of using learning analytics in asynchronous online discussions in higher education. To prepare for a future where online learning plays a major role, this book examines: Data insights for improving curriculum design, teaching practice, and learningScaling up learning analytics in an evidence-informed wayThe role of trust in online learning. Online learning faces very real philosophical and operational challenges. This book addresses areas of concern about the future of education and learning. It also energizes the field of learning analytics by presenting research on a range of topics that is broad and recognizes the humanness and depth of educating and learning.

This book examines how to develop the main traits that are necessary to become an “informed intuitant”. Case studies and examples of successful “informed intuitants” are a major component of the book. “Intuitant” is someone who has the intuitive awareness to be successful. “Informed intuitant” indicates that the individual/decision maker not only applies his/her intuition but also verifies it through using data-driven approaches (such as data analytics). Some of this work resulted from research examining how well do executives trust their intuition.

"In our increasingly digitally enabled education world, analytics used ethically, strategically, and with care holds the potential to help more and more diverse students be more successful on higher education journeys than ever before. Jay Liebowitz and a cadre of the fields best ‘good trouble’ makers in this space help shine a light on the possibilities, potential challenges, and the power of learning together in this work."—Mark David Milliron, Ph.D., Senior Vice President and Executive Dean of the Teachers College, Western Governors UniversityDue to the COVID-19 pandemic and its aftereffects, we have begun to enter the "new normal" of education. Instead of online learning being an "added feature" of K–12 schools and universities worldwide, it will be incorporated as an essential feature in education. There are many questions and concerns from parents, students, teachers, professors, administrators, staff, accrediting bodies, and others regarding the quality of virtual learning and its impact on student learning outcomes.Online Learning Analytics is conceived on trying to answer the questions of those who may be skeptical about online learning. Through better understanding and applying learning analytics, we can assess how successful learning and student/faculty engagement, as examples, can contribute towards producing the educational outcomes needed to advance student learning for future generations. Learning analytics has proven to be successful in many areas, such as the impact of using learning analytics in asynchronous online discussions in higher education. To prepare for a future where online learning plays a major role, this book examines: Data insights for improving curriculum design, teaching practice, and learningScaling up learning analytics in an evidence-informed wayThe role of trust in online learning. Online learning faces very real philosophical and operational challenges. This book addresses areas of concern about the future of education and learning. It also energizes the field of learning analytics by presenting research on a range of topics that is broad and recognizes the humanness and depth of educating and learning.

Whether the source is more industry-based or academic research, there certainly appears to be a growing interest in the field of cryptocurrency. The New York Times had a cover story on March 24, 2022, titled "Time to Enter the Crypto Zone?," and they talked about institutional investors pouring billions into digital tokens, salaries being taken in Bitcoins, and even Bitcoin ATMs in grocery stores. Certainly, there have been ups and downs in crypto, but it has a kind of alluring presence that tempts one to include crypto as part of one’s portfolio. Those who are "prime crypto-curious" investors are usually familiar with the tech/pop culture and feel they want to diversify a bit in this fast-moving market. Even universities are beginning to offer more courses and create "Centers on Cryptocurrency." Some universities are even requiring their students who take a crypto course to pay the course tuition via cryptocurrency. In response to the growing interest and fascination about the crypto industry and cryptocurrency in general, Cryptocurrency Concepts, Technology, and Applications brings together many leading worldwide contributors to discuss a broad range of issues associated with cryptocurrency. The book covers a wide array of crypto-related topics, including:BlockchainNFTsData analytics and AICrypto crimeCrypto industry and regulationCrypto and public choiceConsumer confidenceBitcoin and other cryptocurrencies.Presenting various viewpoints on where the crypto industry is heading, this timely book points out both the advantages and limitations of this emerging field. It is an easy-to-read, yet comprehensive, overview of cryptocurrency in the U.S. and international markets.

Whether the source is more industry-based or academic research, there certainly appears to be a growing interest in the field of cryptocurrency. The New York Times had a cover story on March 24, 2022, titled "Time to Enter the Crypto Zone?," and they talked about institutional investors pouring billions into digital tokens, salaries being taken in Bitcoins, and even Bitcoin ATMs in grocery stores. Certainly, there have been ups and downs in crypto, but it has a kind of alluring presence that tempts one to include crypto as part of one’s portfolio. Those who are "prime crypto-curious" investors are usually familiar with the tech/pop culture and feel they want to diversify a bit in this fast-moving market. Even universities are beginning to offer more courses and create "Centers on Cryptocurrency." Some universities are even requiring their students who take a crypto course to pay the course tuition via cryptocurrency. In response to the growing interest and fascination about the crypto industry and cryptocurrency in general, Cryptocurrency Concepts, Technology, and Applications brings together many leading worldwide contributors to discuss a broad range of issues associated with cryptocurrency. The book covers a wide array of crypto-related topics, including:BlockchainNFTsData analytics and AICrypto crimeCrypto industry and regulationCrypto and public choiceConsumer confidenceBitcoin and other cryptocurrencies.Presenting various viewpoints on where the crypto industry is heading, this timely book points out both the advantages and limitations of this emerging field. It is an easy-to-read, yet comprehensive, overview of cryptocurrency in the U.S. and international markets.

Affecting every sector and country in the world, digital technology is changing the way citizens engage in society, companies conduct business, and governments deliver public services. The COVID-19 pandemic accelerated the pace of digitalization and exposed such vulnerabilities as inadequate infrastructure, weak regulations, and a scarcity of skilled professionals capable of digitally transforming government. Not immune to the digital revolution, governments are slowly adapting to a digital world. Governments are implementing digital solutions to deliver services to their citizens, make payments, and engage the public.Focusing on how government can transition more effectively through digital transformation, Pivoting Government Through Digital Transformation covers the following key components:Setting the stage during the Great Resignation periodFilling the digital talent pipelineBest practices and vignettes for applying digital transformation in governmentLooking ahead towards the futureKey chapter contributors from U.S. and foreign governments, as well as state and local governments, discuss how they are coping with today’s environment and how they are using digital transformation efforts to enhance their organization’s effectiveness and digital talent pipeline.With chapters on theory and practice, this groundbreaking book offers an in-depth analysis of the most innovative approaches to e-government and discusses case studies from local, state, and federal government perspectives. This is an essential guide for government employees, scholars, and regular citizens who want to make government work more effectively and democratically in the digital age.

Affecting every sector and country in the world, digital technology is changing the way citizens engage in society, companies conduct business, and governments deliver public services. The COVID-19 pandemic accelerated the pace of digitalization and exposed such vulnerabilities as inadequate infrastructure, weak regulations, and a scarcity of skilled professionals capable of digitally transforming government. Not immune to the digital revolution, governments are slowly adapting to a digital world. Governments are implementing digital solutions to deliver services to their citizens, make payments, and engage the public.Focusing on how government can transition more effectively through digital transformation, Pivoting Government Through Digital Transformation covers the following key components:Setting the stage during the Great Resignation periodFilling the digital talent pipelineBest practices and vignettes for applying digital transformation in governmentLooking ahead towards the futureKey chapter contributors from U.S. and foreign governments, as well as state and local governments, discuss how they are coping with today’s environment and how they are using digital transformation efforts to enhance their organization’s effectiveness and digital talent pipeline.With chapters on theory and practice, this groundbreaking book offers an in-depth analysis of the most innovative approaches to e-government and discusses case studies from local, state, and federal government perspectives. This is an essential guide for government employees, scholars, and regular citizens who want to make government work more effectively and democratically in the digital age.