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From Ontological Differences to Robust Identities

In this Concise Introduction, Michael Lounsbury and Joel Gehman set out an overview of organization theory that clarifies how to cultivate a robust scholarly identity in a field rich with diverse research traditions. Providing a summary of rationalist, pragmatic and co-constitutive theories, they highlight how scholars can meaningfully contribute to the academic conversation and maximize the practical relevance of their work.

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Digital Transformation and Opportunity for the Next Growth Continent

Offering invaluable insights into technologically-driven change in Africa, this incisive book envisions myriad positive economic changes brought about by new technologies and innovations. Rooted in original research from contributors who have worked and taught in Africa, it encapsulates developments and breakthroughs throughout the continent.

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Cognizant of the complexity and uncertainty that characterizes our post-pandemic world, this book highlights how learning and development needs to be wired into the culture of a business. Karen E. Watkins and Victoria J. Marsick extend the vision of learning and development to embrace a full range of learning interventions, considering what it means to change the culture of an organization into a learning-rich environment.

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Leveraging AI to Untangle the Surprising Link Between Ethics, Happiness and Business Success

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.

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Data-Driven Growth in Small and Medium-Sized Enterprises
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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Scope, Scale and Measurement
This timely book proposes a new perspective on building innovation in companies providing business services. Implementing an innovation orientation paradigm based on six pillars – strategy, organisational culture, human resources, structure and process, marketing, and technology – it sets out a framework for achieving innovation through knowledge management.
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The Next Generation of Media Emerges
Along with its interrelated companion volume, The Content, Impact, and Regulation of Streaming Video, this book covers the next generation of TV—streaming online video, with details about its present and a broad perspective on the future. It reviews the new technical elements that are emerging, both in hardware and software, their long-term trend, and the implications. It discusses the emerging ‘media cloud’ of video and infrastructure platforms, and the organizational form of such TV.
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The Next Generation of Media Emerges
Along with its interrelated companion volume, The Technology, Business, and Economics of Streaming Video, this book examines the next generation of TV—online video. It reviews the elements that lead to online platforms and video clouds and analyzes the software and hardware elements of content creation and interaction, and how these elements lead to different styles of video content.
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An Action-Oriented Participatory Approach
This stimulating book proposes the concept of staging as a tool for planning and facilitating design and innovation activities. Drawing on a predominantly Scandinavian tradition of participatory design research and sociotechnical perspectives from actor–network theory, it discusses how staging can enable co-design, sustainable transitions and social and radical innovation.
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Self-learning and Autonomous Systems as Key Drivers of Value Creation
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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