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Edited by Carsten Lund Pedersen, Adam Lindgreen, Thomas Ritter and Torsten Ringberg

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Big Data in Small Business

Data-Driven Growth in Small and Medium-Sized Enterprises

Edited by Carsten Lund Pedersen, Adam Lindgreen, Thomas Ritter and Torsten Ringberg

This important book considers the ways in which small and medium-sized enterprises (SMEs) can thrive in the age of big data. To address this central issue from multiple viewpoints, the editors introduce a collection of experiences, insights, and guidelines from a variety of expert researchers, each of whom provides a piece to solve this puzzle.
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Carsten Lund Pedersen, Adam Lindgreen, Thomas Ritter and Torsten Ringberg

This is a book about big data in small businesses. How do small and medium-sized enterprises (SMEs), with limited resources, thrive in a context abundant with data? To address this central question from multiple viewpoints, we introduce a collection of experiences, insights, and guidelines from a variety of researchers, each of whom provides a piece to solve this puzzle.

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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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Edited by Satish Nambisan, Kalle Lyytinen and Youngjin Yoo

Digital innovations influence every aspect of life in an increasingly digitalized world. Firms pursuing digital innovations must consider how digital technologies shape the nature, process and outcomes of innovation as well as long- and short-term social, economic and cultural consequences of their offerings. This Handbook contributes to a transdisciplinary understanding of digital innovation with a diverse set of leading scholars and their distinct perspectives. The ideas and principles advanced herein set the agenda for future transdisciplinary research on digital innovation in ways that inform not only firm-level strategies and practices but also policy decisions and science-focused investments.