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Ashish Kumar: AI Automation for
Businesses

AI Automation for Businesses

Practical AI Strategies for Modern Small and Medium Businesses

The Life-Changing Power of Making Do

The Jugaad Mindset

Corporatism and Neoliberalism in a Global Era

The World Economic Forum and COVID-19

The Essential Guide to Launching Your Career in Artificial Intelligence

Break into AI

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.

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;

Artificial Security and the Politics of Hype in the EU

Algorithmic Management: Artificial Intelligence and the Transformation of Organizations is the first comprehensive textbook designed to prepare management students to engage critically and responsibly with artificial intelligence in organizations. Bringing together classical management theory, contemporary AI applications, and systematic power analysis, the book equips future managers to both harness AI's potential and confront its risks.Structured in three parts, the book begins with foundational frameworks-socio-technical systems theory, technology and society perspectives, and core management theories reinterpreted for the AI era. It then examines applications across all major management functions-Marketing, HR, Finance, Operations, Supply Chain, and Strategy-using over 30 real-world case studies drawn from different industries, parts of the world, and types of organizations from multinational corporations to nonprofits and social ventures. The final section addresses organizational design, leadership, governance, and the future of algorithmic organizations. Throughout, pedagogical features-learning objectives, vignettes, discussion questions, toolkits, and ethical dilemmas-make the book classroom-ready and adaptable across MBA, undergraduate, and executive education settings. The text advances an approach of pragmatic criticality: AI is neither celebrated uncritically nor rejected outright but treated as a socio-technical phenomenon requiring managerial judgment, ethical reflection, and contextual awareness.By bridging management theory, functional practice, and critical perspectives, this book fills a critical market gap and is positioned to become the definitive teaching resource on AI and management for business education worldwide.

Artificial Intelligence and the Transformation of Organizations

Algorithmic Management

Many existing textbooks in behavioural finance take only the perspective of users of financial information, but ignore the implications of judgments during the preparation of financial information. This book uses a holistic approach in examining behavioural accounting and bridges this gap.The book begins by introducing the current knowledge in the emerging area of behavioural accounting and also covers the entire spectrum from the preparation of financial information, auditing, and ultimately, to the interpretation and application of financial information of external users. The comprehensive overview of human elements in accounting makes this book an invaluable resource.

This book examines behavioural accounting and bridges the gap where existing textbooks in behavioural finance take only the perspective of users of financial information, but ignore the implications of judgments during its preparation.

Behavioural Accounting

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

Bridging Technology and Purpose

AI for Financial Sustainability

Eine lernorientierte Einführung in die Grundzüge der mikroökonomischen Theorie, bei der drei Fragen im Zentrum des Interesses stehen: Mit welcher Güternachfrage maximiert ein privater Haushalt für ein gegebenes Einkommen und gegebene Preise seinen Nutzen? Mit welchem Güterangebot maximiert ein privates Unternehmen für gegebene Güter- und Faktorpreise seinen Gewinn? Wie bildet sich aus Angebot und Nachfrage der Marktpreis? In den Text integrierte Übungsaufgaben erleichtern eine gezielte Prüfungsvorbeitung.

Haushalte, Unternehmen, Märkte

Mikroökonomik

Routledge Studies in Accounting

Implications for Practice, Education, and Research

Generative AI and Agentic Systems in Accounting

From artificial intelligence to identity theft and increasing concerns about privacy and sustainability, consumer issues are an integral part of daily life. This updated fifth edition of Consumer Economics offers students an accessible and thorough guide to the concerns surrounding the modern consumer and brings to light the repercussions of making uninformed decisions in today's global economy.This definitive textbook introduces students to these potential issues and covers key topics, including consumer behavior, the history of the consumer movement, personal finance, legal rights and responsibilities, as well as marketing and advertising. Combining theory and practice, students are introduced to both the fundamentals of consumer economics and how to become better-informed consumers themselves. Highlights in this new edition include:¿ new case studies and projects to encourage students to develop their critical thinking skills through analyzing global consumer issues ¿ coverage of the influence of AI, FinTech and digital platforms on everyday decision-making ¿ expanded discussion of cybersecurity, data privacy and ethical consumerism ¿ revised consumer alerts: practical advice and guidance to help students make smart consumer decisions ¿ PowerPoint slides and a test bank of questions for each chapter.This textbook is suitable for students studying consumer sciences to understand what works, what doesn't and how consumers are changing.

Issues and Behaviors

Consumer Economics

Innovations in Intelligent Internet of Everything IoE

Biomedical Applications of AI and IoMT in Smart Healthcare

AI Automation for Businesses

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