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This book examines when, where, how, and why artificial intelligence and digital transformation can boost innovation and transform the economy, society and democracy. It is developed based on the Cyber-D4 nexus, which is a conceptual framework of Cyber-Defense, Cyber-Development, Cyber-Democracy, and Cyber-Diplomacy. This nexus ties new national and industrial cyber strategies, including business strategies for smart cities and the Internet of Things, with the local, national, regional, and global security and economic objectives.
In light of the COVID-19 pandemic, this timely Handbook builds upon research and practice to discuss and assess what is currently known about virtual work and its evolution, given the increasing numbers of those working virtually.
This book offers insights into how the Theory of Change framework can be effectively employed in a wide range of social interventions. Presenting its potential to support strategy and strategic thinking, this book offers an entry point to understanding how Theory of Change can be applied beyond the typical domain of aid projects.
This engaging Research Handbook presents a fresh look at how to improve project performance for the project sponsor, client and end user using a number of empirical research studies. Focusing on project performance concepts and methods, the Handbook provides a fresh look at successful project completions, achieving project objectives, on-time or ahead of time project completion or delivering within budget.
While much has been written about the U.S. Small Business Innovation Research (SBIR) program from both an institutional and a policy perspective, there remains a conspicuous void of general information about firms and research projects that are funded through the program. Providing a multi-dimensional picture of such firms and their projects, this incisive book is designed to help the reader understand in more depth the social benefits associated with the SBIR program.
The Handbook of Research on Artificial Intelligence, Innovation and Entrepreneurship focuses on theories, policies, practices, and politics of technology innovation and entrepreneurship based on Artificial Intelligence (AI). It examines when, where, how, and why AI triggers, catalyzes, and accelerates the development, exploration, exploitation, and invention feeding into entrepreneurial actions that result in innovation success.
This Research Handbook provides a cutting-edge review of complex project organizing (CPO), and suggests fruitful avenues for future research with a focus on grand challenges and a sustainable future.
Outlining an integrative theory of knowledge, Francisco Javier Carrillo explores how to understand the underlying behavioural basis of the knowledge economy and society. Chapters highlight the notion that unless a knowledge-based value creation and distribution paradigm is globally adopted, the possibilities for integration between a sustainable biosphere and a viable economy are small.
Based on 20 years of research, this book lays out a proven and tested method for reaching the goal of employee happiness, analyzing individuals’ communication patterns, and making them self-aware by mirroring their behaviour back to them in a privacy-respecting way. In doing so, Peter A. Gloor introduces artificial intelligence-based methods to identify personality, moral values, and ethics of individuals based on their body language and interaction with others.
A landmark reference work in the field, this Elgar Encyclopedia presents over 60 entries from scholars that have shaped the making of the economics of innovation as a distinct and specialised field of investigation within the broad range of economic disciplines. This will be a critical read for economics scholars, particularly those focusing on knowledge and innovation as it offers an understanding of the definitions of key terms in the field, the founding tenets of the topic, and the economics of knowledge and innovation in more specific contexts.
