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Aligning Talent Management and
Organizational Innovation Goals

Aligning Talent Management and Organizational Innovation Goals

Studies in National Governance and Emerging Technologies

This book examines how artificial intelligence systems and their applications in security and defence are entangled with governance and policy processes in the EU. Combining concepts and insights from (critical) security studies and science and technology studies, it argues that behind the various AI-related policy initiatives in the EU are particular narratives on security and defence based on European fears of technological innovation and strategic gaps. In this respect, the book casts light on how such beliefs have become increasingly instrumentalized in the European governance dynamics, and subsequently embedded in successive policy initiatives and security and defence research programmes. It challenges conventional understandings of AI technologies as mere security and defence-enabling instruments, by providing a conceptually driven analysis of how certain visions of AI help govern and control one of the most dynamic emergent socio-technical fields. The book will appeal to all those interested in artificial intelligence, security studies, technology and European governance.&nbsp;
 
 Raluca Csernatoni is a Research Fellow at Carnegie Europe, where she works on the nexus between European defence and emerging technologies. She is also Guest Professor at the Centre for Security, Diplomacy and Strategy (CSDS), Vrije Universiteit Brussel, Belgium, and Visiting Faculty in the Department of International Relations, Central European University, Austria.

Artificial Security and the Politics of Hype in the EU

International Series in Operations Research & Management Science

This book presents a rigorous, practitioner-ready framework for determining when interventional causal claims can be validly drawn from observational data. By integrating potential outcomes (PO), structural causal models (SCMs), directed acyclic graphs (DAGs), quasi-experimental and longitudinal designs, information-theoretic approaches, and modern machine-learning methods with decision-analytic principles, it identifies necessary conditions for each step of the causal inference process, from defining estimands and identifying causal effects to study design, measurement, estimation, interpretation, robustness, and external validity. The framework is operationalized through practical checklists, tables, diagnostic and falsification tests, and AI-assisted tools, making it accessible across fields such as epidemiology, environmental and occupational health, and regulatory risk analysis. Designed to meet the needs of professionals making high-stakes decisions based on nonexperimental data, the book addresses the lack of clear, testable criteria for credible causal inference. Real-world examples throughout the book illustrate diagnostics, falsification tests, and robustness checks, linking evidence directly to decision-making. Bridging multiple causal frameworks and modern machine-learning methods, it equips readers to assess when data support cause-and-effect conclusions, supporting more responsible, evidence-based policy and risk management.The book offers health risk analysts, epidemiologists, and policy professionals a practical guide to valid causal inference from observational data. It is also ideal for graduate students and workshop participants in data science, decision analysis, risk analysis, and AI/ML applications.

Valid Causal Inference from Observational Data

Banking, Money and International Finance

Human-Centred Intelligent Finance

AI, Fintech, and the Future of Global Financial Systems

Corporate Governance in the Age of Artificial Intelligence

This book is a must-read for any aspiring IP lawyer... it is a useful manual with accurate and current information, as and when you need it - The Law Society Gazette Provides up-to-date coverage and analysis of the intellectual property laws applicable to all forms of computer software, placing the law in the context of computer use, examining copyright, database rights, patents, trade marks, design rights and the law of confidence. Updates to the 8th edition include: - a new chapter on Intellectual Property and AI - a number of cases on FRAND licensing in relation to telecommunications standards technologies, including Unwired Planet v Huawei - the effects of Brexit on intellectual property regulations - developments in the EU, US and other jurisdictions Information Technology and Intellectual Property Law can either be read from cover to cover as a thorough introduction to the subjects addressed or be used as a very useful starting point for a specialist practitioner faced with a particular problem on a particular case. With this in mind, this book is an essential addition to any IT and IP practitioner's bookshelf, as well as a useful textbook for non-specialists, advanced undergraduates and taught in postgraduate IT and IP courses. This title is also available as part of Bloomsbury Professional's IP &amp; IT online service.

Bainbridge on Information Technology and Intellectual Property Law

Artificial Intelligence and the Transformation of Organizations

Algorithmic Management

This book provides a concise and interdisciplinary introduction to sustainable development, examining its historical evolution, legal foundations, and contemporary governance challenges. It traces the emergence of sustainability from early ecological warnings to its institutionalization through international frameworks, demonstrating how sustainable development has become a central organizing principle of global policy.Organized around seven thematic chapters, the book covers the conceptual and legal foundations of sustainability, its core governance principles, socio-technical transition pathways, property and commons theory, global sustainability finance, and the implications of digitalization and artificial intelligence for development. Each chapter integrates legal analysis, governance theory, and, in some cases, real-world case studies to show how sustainability principles move from rhetoric to enforceable norms. Key features include accessible chapter abstracts, a comprehensive list of abbreviations, and a structured list of figures supporting visual learning. The book approaches sustainable development not as a technical toolkit but as a political and institutional challenge requiring systemic reform.The volume is intended for undergraduate and postgraduate students in environmental studies, law, governance, economics, and public policy, as well as researchers, practitioners, and policymakers engaged with sustainability transitions, international environmental law, and development governance.

Governance, Law, and Global Transitions

A Concise Introduction to Sustainable Development

The Fight for the Future of Work

We Are Not Machines

Governing the Intelligent Enterprise

Overruled

Routledge Focus on Economics and Finance

AI, Blockchain, and the New Logic of Markets

Systems Thinking

From Control to Flow with the Process Enneagram

Navigating Complexity

Build an organization that adapts, evolves and performs in constant uncertainty. Workplace Agility by Natal Dank is a strategic guide for senior HR leaders, business executives and transformation leads who need to move beyond reactive change and design organizations that thrive in disruption. As AI accelerates change and workforce expectations shift, this book shows how to replace outdated resilience models with a more dynamic, future-ready approach. Introducing the Workplace Elasticity (WE) model, it explains how to align people strategy, business strategy and Industry 5.0 thinking to create organizations that can flex, stretch and re-form without losing performance. Combining strategic insight with real-world examples from companies including TomTom, Novartis and Liberty Latin America, it translates complexity into practical action. You will learn how to: - Align workforce planning with AI-enabled business strategy - Design operating models that adapt to constant change - Enable effective human-machine collaboration at scale - Build cultures that support purpose, connection and performance - Apply tools and frameworks for agile decision-making Workplace Agility equips you with the tools to lead with confidence in uncertainty, building adaptive organizations that sustain performance and competitive advantage. Themes include: workplace agility, organizational design, HR strategy, AI in business, workforce transformation, Industry 5.0

An HR Approach to Organizational Design and People Strategy

Workplace Agility

Aligning Talent Management and Organizational Innovation Goals

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