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Albert N. Link

This book is about inventions and innovation in U.S. Federal Laboratories. The inventions discussed are defined by the technology transfer mechanism known by the term invention disclosures and are innovations that are the output of the technology transfer process. The demonstrated positive relationships in the book's model are the groundwork for suggesting not only a rethinking of the extant empirical research, within the context of a knowledge production function but also a refocusing of U.S. technology policy in support of technology transfer from Federal Laboratories.
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Albert N. Link

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Andrzej Wodecki

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Artificial Intelligence in Management

Self-learning and Autonomous Systems as Key Drivers of Value Creation

Andrzej Wodecki

Autonomous systems are on the frontiers of Artificial Intelligence (AI) research, and they are slowly finding their business applications. Driven mostly by Reinforcement Learning (RL) methods (one of the most difficult, but also the most promising modern AI algorithms), autonomous systems help create self-learning and self-optimising systems, ranging from simple game-playing agents to robots able to efficiently act in completely new environments. Based on in-depth study of more than 100 projects, Andrzej Wodecki explores RL as a key component of modern digital technologies, its real-life applications to activities in a value chain and the ways in which it impacts different industries.
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Andrzej Wodecki

In this chapter we introduce main topics covered in this book, its motivation, and briefly describe the research methodology. We present the scope of each of the proceeding chapters, and comment on the most important bibliographical sources. I forms the ground for the Chapter 1, focused on fundamental concepts of Artificial Intelligence.

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Edited by Mitsuru Kodama

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Edited by Mitsuru Kodama

Illustrating the interdisciplinary implications for research on creativity development, this book focuses on the new concept of ‘knowledge differences’ that arise between people, organizations and various phenomena. It describes how these key differences create boundaries knowledge, a dynamic process that accelerates innovation.
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Edited by Mitsuru Kodama

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Trish Greenhalgh

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Edited by Per Nilsen and Sarah A. Birken

The Handbook on Implementation Science provides an overview of the field’s multidisciplinary history, theoretical approaches, key concepts, perspectives, and methods. By drawing on knowledge concerning learning, habits, organizational theory, improvement science, and policy research, the Handbook offers novel perspectives from a broad group of international experts in the field representing diverse disciplines. The editors seek to advance implementation science through careful consideration of current thinking and recommendations for future directions.