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This book provides an extensive review of what innovation means in healthcare, with real-life examples and guidance on how to successfully innovate with IT in healthcare.
Computer science has drawn from and contributed to many disciplines and practices since it emerged as a field in the middle of the 20th century. Those interactions, in turn, have contributed to the evolution of information technology â€" new forms of computing and communications, and new applications â€" that continue to develop from the creative interactions between computer science and other fields. Beyond Productivity argues that, at the beginning of the 21st century, information technology (IT) is forming a powerful alliance with creative practices in the arts and design to establish the exciting new, domain of information technology and creative practicesâ€"ITCP. There are major benefits to be gained from encouraging, supporting, and strategically investing in this domain.
It has become a widely-recognized fact that entrepreneurs and information technology have become the backbone of the world economy. The increasing penetration of IT in society and in most of industries/businesses, as well as the joining forces of entrepreneurship and innovation in the economy, reinforce the need for a leading and authoritative research handbook to disseminate leading edge findings about entrepreneurship and innovation in the context of IT from an international perspective. Information Technology Entrepreneurship and Innovation presents current studies on the nature, process and practice of entrepreneurship and innovation in the development, implementation, and application of information technology worldwide, as well as providing academics, entrepreneurs, managers, and practitioners with up-to-date, comprehensive, and rigorous research-based articles on the formation and implementation of effective strategies and business plans.
A big-picture look at how the latest trends in information management and technology are impacting business models and innovation worldwide With all of the recent emphasis on "big data," analytics and visualization, and emerging technology architectures such as smartphone networks, social media, and cloud computing, the way we do business is undergoing rapid change. The right business model can create overnight sensations—think of Groupon, the iPad, or Facebook. At the same time, alternative models for organizing resources such as home schooling, Linux, or Kenya's Ushihidi tool transcend conventional business designs. Timely and visionary, Information, Technology, and the Future of Commerce looks at how the latest technology trends and their impact on human behavior are impacting business practices from recruitment through marketing, supply chains, and customer service. Discusses information economics, human behavior, technology platforms, and other facts of contemporary life Examines how humans organize resources and do work in the changing landscape Provides case studies profiling how competitive advantage can be a direct result of innovative business models that exploit these trends Revealing why traditional strategy formulation is challenged by the realities of the connected world, Information, Technology, and the Future of Commerce ties technology to business and social environments in an approachable, informed manner with innovative, big-picture analysis of what's taking place now in information strategy and technology.
Healthcare Information Technology Innovation and Sustainability: Frontiers and Adoption presents research in the emerging field on information systems and informatics in the healthcare industry. By addressing innovative concepts and critical issues through case studies and experimental research, this reference source is useful for practitioners, researchers and academics aiming to advance the knowledge and practice of these interdisciplinary fields of healthcare information.
This book provides glimpses into contemporary research in information systems & technology, learning, artificial intelligence (AI), machine learning, and security and how it applies to the real world, but the ideas presented also span the domains of telehealth, computer vision, the role and use of mobile devices, brain–computer interfaces, virtual reality, language and image processing and big data analytics and applications. Great research arises from asking pertinent research questions. This book reveals some of the authors’ “beautiful questions” and how they develop the subsequent “what if” and “how” questions, offering readers food for thought and whetting their appetite for further research by the same authors.
Discover the MIT-developed, “doer’s approach” to innovation with this guide that reveals you don’t need an earth-shattering idea to create a standout product, service, or business—just a hunch that you can scale up to impact. Innovation is the subject of countless books and courses, but there’s very little out there about how you actually innovate. Innovation and entrepreneurship are not one and the same, although aspiring innovators often think of them that way. They are told to get an idea and a team and to build a show-and-tell for potential investors. In Innovating, Luis Perez-Breva describes another approach—a doer’s approach developed over a decade at MIT and internationally in workshops, classes, and companies. He shows that innovating doesn’t require an earth-shattering idea; all it takes is a hunch. Anyone can do it. By prototyping a problem and learning by being wrong, innovating can be scaled up to make an impact. As Perez-Breva demonstrates, “nothing is new” at the outset of what we only later celebrate as innovation. In Innovating, the process—illustrated by unique and dynamic artwork—is shown to be empirical, experimental, nonlinear, and incremental. You give your hunch the structure of a problem. Anything can be a part. Your innovating accrues other people’s knowledge and skills. Perez-Breva describes how to create a kit for innovating, and outlines questions that will help you think in new ways. Finally, he shows how to systematize what you’ve learned: to advocate, communicate, scale up, manage innovating continuously, and document—“you need a notebook to converse with yourself,” he advises. Everyone interested in innovating also needs to read this book.
Organizations report that as much as 50% of investments in IS and IT solutions are judged to be outright failures or deemed highly unsatisfactory. Information Systems Innovation and Diffusion: Issues and Directions reports on innovation and diffusion research and presents theory-based guidelines that will increase the business value of IS/IT investments.
The notion that innovation in information technology could spark a revitalization of the Japanese economy became a hot topic in 2000, and the Japanese government announced an e-Japan Strategy for creating a "knowledge emergent society" in January 2001. However, just when a consensus seemed to be emerging regarding the importance of IT innovation in Japan, the country's IT industries were deeply influenced by a recession that originated in the U.S. Although economic conditions have improved, strong IT-driven economic growth in Japan has not bounced back. Using a newly constructed set of data, this book examines how the Japanese economy has been affected by advances in information and communications technology, and whether Japan's experience with IT advancement was a short-lived bubble or part of a truly revolutionary change in the Japanese economy that will lead to long-term growth. The authors discuss similarities and differences between Japan's experience with IT innovation and that of the United States, where IT is thought to have played a major role in stimulating the economy.
This book constitutes the refereed proceedings of the First International Conference on Advanced Research in Technologies, Information, Innovation and Sustainability, ARTIIS 2021, held in La Libertad, Ecuador, in November 2021. The 53 full papers and 2 short contributions were carefully reviewed and selected from 155 submissions. The volume covers a variety of topics, such as computer systems organization, software engineering, information storage and retrieval, computing methodologies, artificial intelligence, and others. The papers are logically organized in the following thematic blocks: ​Computing Solutions; Data Intelligence; Ethics, Security, and Privacy; Sustainability.