Download Free Disruptive Technology And Defence Innovation Ecosystems Book in PDF and EPUB Free Download. You can read online Disruptive Technology And Defence Innovation Ecosystems and write the review.

Recent advances in the disciplines of computer science (e.g., quantum theory, artificial intelligence), biotechnology and nanotechnology have deeply modified the structures of knowledge from which military capabilities are likely to develop. This book discusses the implications of disruptive technologies for the defence innovation ecosystem. Two complementary dimensions of the defence innovation ecosystem are highlighted: the industrial and intra-organizational. On the industrial scale, there is a shift in the ecology of knowledge underpinning the defence industrial and technological base (DITB). At the intra-organizational level, it is the actors’ practices that change and, through them, their skills and the processes by which they are acquired and transferred. In this context, the sources and legitimacy of innovation are being transformed, in turn requiring sometimes radical adaptations on the part of the various actors, including companies, military services, research communities and governmental agencies, which make up the defence innovation ecosystem.
Recent advances in the disciplines of computer science (e.g., quantum theory, artificial intelligence), biotechnology and nanotechnology have deeply modified the structures of knowledge from which military capabilities are likely to develop. This book discusses the implications of disruptive technologies for the defence innovation ecosystem. Two complementary dimensions of the defence innovation ecosystem are highlighted: the industrial and intra-organizational. On the industrial scale, there is a shift in the ecology of knowledge underpinning the defence industrial and technological base (DITB). At the intra-organizational level, it is the actors’ practices that change and, through them, their skills and the processes by which they are acquired and transferred. In this context, the sources and legitimacy of innovation are being transformed, in turn requiring sometimes radical adaptations on the part of the various actors, including companies, military services, research communities and governmental agencies, which make up the defence innovation ecosystem.
INNOVATION IN ENGINEERING AND TECHNOLOGY SET Coordinated by Dimitri Uzunidis Systemic innovation is based on business networks and new business models in a global economy integrated by flows of knowledge, capital, and goods. The authors of this book consider the theory that innovations act as systems based on multi-actor interactions. Innovation is contextualized to demonstrate in what capacity a company or an entrepreneur can innovate. The book details the management of scientific, technical and cognitive resources, the relationships between R&D partners, the creativity and the rules that allow a market and a company to innovate. This contextualization, associated with entrepreneurial strategy, leads to systemic innovation. This book analyzes some key sectors of the economy that are knowledge-intensive and rapidly changing: transport and communications, defense, information technology, artificial intelligence, and the environment.
Ecosystems have been present in the fields of economics and management for decades, and in recent years they have experienced rapid development. However, there is still no consensus on the definition of an innovation ecosystem. Using concrete examples, The Innovation Ecosystem as a Source of Value Creation proposes a unique model in order to refine the understanding, functions, advantages and disadvantages of innovation ecosystems. This model is based on both the iterative network and integrated value chain. The network supports the collaboration between actors and favors asset transfers articulated around the innovation process. This book highlights the transfer processes at work in the innovation ecosystem, as well as the roles of the actors in this integrated value chain. It presents how value creation is articulated around knowledge to generate value shared by all of the actors in the innovation ecosystem.
Innovation, in economic activity, in managerial concepts and in engineering design, results from creative activities, entrepreneurial strategies and the business climate. Innovation leads to technological, organizational and commercial changes, due to the relationships between enterprises, public institutions and civil society organizations. These innovation networks create new knowledge and contribute to the dissemination of new socio-economic and technological models, through new production and marketing methods. Innovation Economics, Engineering and Management Handbook 2 is the second of the two volumes that comprise this book. The main objectives across both volumes are to study the innovation processes in todays information and knowledge society; to analyze how links between research and business have intensified; and to discuss the methods by which innovation emerges and is managed by firms, not only from a local perspective but also a global one. The studies presented in these two volumes contribute toward an understanding of the systemic nature of innovations and enable reflection on their potential applications, in order to think about the meaning of growth and prosperity
How to succeed in an era of ecosystem-based disruption: strategies and tools for offense, defense, timing, and leadership in a changing competitive landscape. The basis of competition is changing. Are you prepared? Rivalry is shifting from well-defined industries to broader ecosystems: automobiles to mobility platforms; banking to fintech; television broadcasting to video streaming. Your competitors are coming from new directions and pursuing different goals from those of your familiar rivals. In this world, succeeding with the old rules can mean losing the new game. Winning the Right Game introduces the concepts, tools, and frameworks necessary to confront the threat of ecosystem disruption and to develop the strategies that will let your organization play ecosystem offense. To succeed in this world, you need to change your perspective on competition, growth, and leadership. In this book, strategy expert Ron Adner offers a new way of thinking, illustrating breakthrough ideas with compelling cases. How did a strategy of ecosystem defense save Wayfair and Spotify from being crushed by giants Amazon and Apple? How did Oprah Winfrey redraw industry boundaries to transition from television host to multimedia mogul? How did a shift to an alignment mindset enable Microsoft's cloud-based revival? Each was rooted in a new approach to competitors, partners, and timing that you can apply to your own organization. For today's leaders the difference between success and failure is no longer simply winning, but rather being sure that you are winning the right game.
An international and interdisciplinary perspective on the adoption and governance of artificial intelligence (AI) and machine learning (ML) in defence and military innovation by major and middle powers. Advancements in AI and ML pose pressing questions related to evolving conceptions of military power, compliance with international humanitarian law, peace promotion, strategic stability, arms control, future operational environments, and technology races. To navigate the breadth of this AI and international security agenda, the contributors to this book include experts on AI, technology governance, and defence innovation to assess military AI strategic perspectives from major and middle AI powers alike. These include views of how the United States, China, Japan, South Korea, the European Union, and Russia see AI/ML as a technology with the potential to reshape military affairs and power structures in the broader international system. This diverse set of views aims to help elucidate key similarities and differences between AI powers in the evolving strategic context. A valuable read for scholars of security studies, public policy, and STS studies with an interest in the impacts of AI and ML technologies.
In macro-, meso- and micro-economic systems, the concept of innovation involves a variety of resources and functions. It includes all formal and informal institutions, networks and actors that influence innovation and act as innovation boosters within companies, at the territorial level, at the level of innovation networks or in national economies. This book deals with innovation in a globalized context in terms of the entrepreneur, enterprise, territorial and sectoral systems and national systems of innovation in which collective innovation processes are formed.
This book aims to provide a broad overview of various topics of Internet of Things (IoT), ranging from research, innovation and development priorities to enabling technologies, nanoelectronics, cyber-physical systems, architecture, interoperability and industrial applications. All this is happening in a global context, building towards intelligent, interconnected decision making as an essential driver for new growth and co-competition across a wider set of markets. It is intended to be a standalone book in a series that covers the Internet of Things activities of the IERC – Internet of Things European Research Cluster from research to technological innovation, validation and deployment. The book builds on the ideas put forward by the European Research Cluster on the Internet of Things Strategic Research and Innovation Agenda, and presents global views and state of the art results on the challenges facing the research, innovation, development and deployment of IoT in future years. The concept of IoT could disrupt consumer and industrial product markets generating new revenues and serving as a growth driver for semiconductor, networking equipment, and service provider end-markets globally. This will create new application and product end-markets, change the value chain of companies that creates the IoT technology and deploy it in various end sectors, while impacting the business models of semiconductor, software, device, communication and service provider stakeholders. The proliferation of intelligent devices at the edge of the network with the introduction of embedded software and app-driven hardware into manufactured devices, and the ability, through embedded software/hardware developments, to monetize those device functions and features by offering novel solutions, could generate completely new types of revenue streams. Intelligent and IoT devices leverage software, software licensing, entitlement management, and Internet connectivity in ways that address many of the societal challenges that we will face in the next decade.
This open access book proposes a novel approach to Artificial Intelligence (AI) ethics. AI offers many advantages: better and faster medical diagnoses, improved business processes and efficiency, and the automation of boring work. But undesirable and ethically problematic consequences are possible too: biases and discrimination, breaches of privacy and security, and societal distortions such as unemployment, economic exploitation and weakened democratic processes. There is even a prospect, ultimately, of super-intelligent machines replacing humans. The key question, then, is: how can we benefit from AI while addressing its ethical problems? This book presents an innovative answer to the question by presenting a different perspective on AI and its ethical consequences. Instead of looking at individual AI techniques, applications or ethical issues, we can understand AI as a system of ecosystems, consisting of numerous interdependent technologies, applications and stakeholders. Developing this idea, the book explores how AI ecosystems can be shaped to foster human flourishing. Drawing on rich empirical insights and detailed conceptual analysis, it suggests practical measures to ensure that AI is used to make the world a better place.