Regional innovation systems and sustainable development: emerging technologies promotes scientific discussion on standards and practices of regional development, while also covering emerging research topics in regional innovation systems and sustained development. A leading source of information from experts in the field, this text demonstrates the capacity of regional innovation systems, information technology, management and sustainable development for the mutual understanding, prosperity and well being of all the citizens in the world.

Prepare your students with a solid understanding of the principles of information systems using today's most current, concise overview from leading authors Ralph Stair and George Reynolds. Principles of Information Systems, 11e, International Edition relies on 14 captivating chapters to explore the core principles of IS and examine how it's practiced today. Students gain a strong understanding of the latest developments and their impact on the rapidly changing role of today's IS professional. As many as 140 new examples and references in each chapter keep the presentation as current as possible. New discussion focuses on the increased use of cloud computing throughout the world and the latest in mobile solutions and challenges in IS today. Students see, first-hand, how information systems can increase profits and reduce costs as they review new information on e-commerce and enterprise systems, artificial intelligence, virtual reality, green computing, and other issues reshaping IS today. Expanded material introduces the challenges and risks of computer crimes and hacking as well as cyberterrorism. This edition presents some of the most recent research on virtual communities and global IS work solutions as well as social networking. No matter what your students' career plans, Principles of Information Systems, 11e, International Edition and its resources can help you equip future professionals to function more effectively as employees, decision makers, and leaders in business today.

"The nature of governance is rapidly changing, due to new technologies which expand public sector capabilities. Modern Public Information Technology Systems: Issues and Challenges examines the most important dimensions of managing information technology in the public sector. It explores the impact of information technology on governmental accountability and distribution of power, the implications of privatization as an IT business model, and the global governance of information technology. Modern Public Information Technology Systems: Issues and Challenges provides a fresh look at the evolution of federal technology and political accountability in governmental information systems. Descriptions of general policy and technical applications, as well as practical implementation guidelines make this book a must-have for professors, students, and practitioners."

Information technologies are having a profound impact on the ways libraries are providing traditional services. This book identifies emerging technologies and assesses their impact on two distinct yet interdependent entities, library service and library education. While other publications identify technologies and speculate on applications, this volume focuses on the impacts of information technology on several aspects of librarianship.

The book first delineates emerging technologies and their impact on reference services and bibliographic instruction. It then discusses the resultant restructuring of reference services and the relationship between librarians and patrons. Bibliographic instruction is presented as a new paradigm based on the imperative that no faculty member should teach and no student should graduate without being fully information literate. The work also discusses staffing, organization, and financial support, and the structural and political placement of the library within the parent organization.

Cities are the next frontier for artificial intelligence to permeate. As smart urban environments become possible, probable, and even preferred, artificial intelligence offers the chance for even further advancement through infrastructure and industry boosting. Opportunity overflows, but without thorough research to guide a complicated development and implementation process, urban environments can become disorganized and outright dangerous for citizens. AI-Based Services for Smart Cities and Urban Infrastructure is a collection of innovative research that explores artificial intelligence (AI) applications in urban planning. In addition, the book looks at how the internet of things and AI can work together to enable a real smart city and discusses state-of-the-art techniques in urban infrastructure design, construction, operation, maintenance, and management. While highlighting a broad range of topics including construction management, public transportation, and smart agriculture, this book is ideally designed for engineers, entrepreneurs, urban planners, architects, policymakers, researchers, academicians, and students.

As technology continues to saturate modern society, agriculture has started to adopt digital computing and data-driven innovations. This emergence of "smart" farming has led to various advancements in the field, including autonomous equipment and the collection of climate, livestock, and plant data. As connectivity and data management continue to revolutionize the farming industry, empirical research is a necessity for understanding these technological developments. Artificial Intelligence and IoT-Based Technologies for Sustainable Farming and Smart Agriculture provides emerging research exploring the theoretical and practical aspects of critical technological solutions within the farming industry. Featuring coverage on a broad range of topics such as crop monitoring, precision livestock farming, and agronomic data processing, this book is ideally designed for farmers, agriculturalists, product managers, farm holders, manufacturers, equipment suppliers, industrialists, governmental professionals, researchers, academicians, and students seeking current research on technological applications within agriculture and farming.

Each of the chapters in this volume devotes considerable attention to defining and elaborating the notion of the frame problem-one of the "hard problems" of artificial intelligence. Not only do the chapters clarify the problems at hand, they shed light on the different approaches taken by those in artificial intelligence and by certain philosophers who have been concerned with related problems in their field. The book should therefore not be read merely as a discussion of the frame problem narrowly conceived, but also as a general analysis of what could be a major challenge to the design of computer systems exhibiting general intelligence.

Edward Huizenga explores how knowledge and service intensive companies can thrive on innovation and entrepreneurship in the ICT sector. He applies new theoretical insights from strategy and organisation theory, and includes case studies of 30 European service companies. These case studies address the key innovation issues and present answers as to why a constant search for innovation improves firms' competitive position. The key success factors are identified together with those differences that define the frontrunners who are able to turn new ideas into profit. With its mix of academic insights, managerial practices and implementations, this book benchmarks company performance in innovation and develops new theoretical strategy insights including; resource-based ideas; firm's innovation styles; strategic timing; the customer's involvement and the management implications. Innovation Management in the ICT Sector is aimed at, and will be of value to, a readership of academics in the area of strategic management, organisation and innovation, policymakers involved in innovation and economic growth at all levels of government as well as managers in the ICT sector.

This book provides insights into the research in the fields of artificial intelligence in combination with Internet of Things (IoT) technologies. Today, the integration of artificial intelligence and IoT technologies is attracting considerable interest from both researchers and developers from academic fields and industries around the globe. It is foreseeable that the next generation of IoT research will focus on artificial intelligence/beyond artificial intelligence approaches. The rapidly growing numbers of artificial intelligence algorithms and big data solutions have significantly increased the number of potential applications for IoT technologies, but they have also created new challenges for the artificial intelligence community. This book shares the latest scientific advances in this area.