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Data Science and Intelligent Management

The Fight for the Future of Work

We Are Not Machines


<p>
</p><p><i>Reciprocity</i> begins with a simple but unsettling question: why have we come to believe that human beings are naturally self-interested, competitive and acquisitive? This galvanising, perspective-shifting book dismantles the myth of <i>Homo economicus </i>to show us the way towards a world whose realities align with our true selves.</p><p>Drawing on a variety of disciplines, including anthropology, archaeology, evolutionary biology, psychology, economics and social epidemiology, Richard Wilkinson demonstrates that the characteristics which we assume to be our human nature are in fact effects of the market societies we live in. He traces how various systems of exchange have created profoundly different forms of social life throughout the course of history, shaping our behaviours, motivations, and the kinds of people we become. Though it may often feel like it, the avarice and oppressions that defines the twenty-first century are not an unchangeable reality we simply have to live with.</p><p>The book explains why inequality, status competition and consumerism hold so much power over us and reveals the depths to which these forces are entwined with the ever-rising crises of mental illness, political polarisation and environmental destruction. Rather than asking how we can make individuals behave better, it makes a compelling case for restructuring our societies to make life happier, meaningful and more fulfilling for one and all.</p><p>Rigorously researched, bracingly practical and full of passion and hope in equal measure, <i>Reciprocity</i> offers a bold reinterpretation of the world we live in. It equips us with the necessary tools to look beyond and remake it in our very own, amiably human image.</p><p></p>


Reclaiming Our Humanity from the Market

Reciprocity

Research in Creative Writing

Writing Human in the Age of AI

Emerging Trends in Science, Innovation and Business


<p>
</p><p>"Federated Learning Applications in Healthcare: Empowering Wellness" is an ambitious and timely endeavor aimed at providing a comprehensive exploration of the intersection between federated learning and healthcare.</p><p>Federated learning, a decentralized machine learning approach that enables model training across multiple devices or institutions without centralized data sharing, holds immense promise for revolutionizing healthcare by facilitating collaboration, preserving patient privacy, and improving healthcare outcomes. This book aims to unravel the complexities of federated learning and demonstrate its transformative potential in various healthcare applications. Through a combination of theoretical insights, practical guidelines, case studies, and real-world examples, the book aims to empower readers to harness the potential of federated learning to address pressing healthcare challenges effectively.</p><p>Whether readers are healthcare professionals seeking to leverage data-driven approaches to improve patient care, researchers exploring innovative solutions at the intersection of machine learning and healthcare, policymakers grappling with regulatory and ethical considerations, or technologists developing cutting-edge healthcare solutions, this book serves as a valuable resource for understanding, implementing, and advancing federated learning in healthcare.</p><p></p>


Empowering Wellness

Federated Learning Applications in Healthcare

Risk, Governance and Society

From Data Analytics to Global Risk Governance

Evolution of Anomaly Detection


<p>
</p><p>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.</p><p>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.</p><p>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.</p><p></p>


Artificial Intelligence and the Transformation of Organizations

Algorithmic Management


<p>
</p><div><div>Das erste Lexikon im Fintech-Bereich stellt mit über 800 Stichworten einschlägiges Know-how zur "Financial Technology" bereit und hilft damit bei der Klärung aktueller Begrifflichkeiten. Dem interdisziplinären Charakter der Fintech-Entwicklung zufolge sind die Begriffe an der Schnittstelle von (Wirtschafts-)Informatik, Finanzwissenschaft und Innovationsmanagement verortet. Die Fintech-Terminologie richtet sich dabei mit ihren konzise beschriebenen und mit anschaulichen Grafiken ergänzten Inhalten gleichermaßen an Studierende sowie Interessierte aus Wissenschaft und Praxis.</div><div><br></div><div>Die Autoren</div><div>Prof. Dr. Rainer Alt ist Professor für Wirtschaftsinformatik an der Universität Leipzig und Autor zahlreicher Publikationen im Fintech-Bereich.&nbsp;</div><div>Dr. Stefan Huch ist Senior Director bei Capgemini Invent und vertritt die Professur Digitalisierung von Unternehmensprozessen an der Hochschule Merseburg.</div><div><br></div><div>Würdigungen</div><div>"Aus meiner Sicht als Führungskraft einer global agierenden Bank ist das Fintech-Lexikon ein sehr gelungenes Nachschlagewerk, das alle relevanten Begrifflichkeiten in einer sehr verständlichen Art strukturiert darstellt und erläutert- eine gute Stütze, um in der Praxis die relevanten Begrifflichkeiten der Fintech-Szene im Überblick zu haben." Achim Lebeau, COO, DB Privat- und Firmenkunden AG</div><div>"Selbst gründen bedeutet in vielen Bereichen ins kalte Wasser geworfen zu werden. Man muss in kürzester Zeit zum Allround-Experten werden: im Sales, im Marketing, im Finance oder im Fundraising. Hier eine strukturierte Übersicht aller Begrifflichkeiten der Startup-Welt an der Hand zu haben, ist eine enorme Hilfe." Jenny Saft, Geschäftsführung und Co-Founderin, Oviavo GmbH</div><div>"Dieses Fintech-Lexikon bietet einen hervorragenden Orientierungsrahmen, indem es alle relevanten Begrifflichkeiten im Kontext der digitalisierten Finanzwelt aufgreift. Diese sind konsequent strukturiert und inverständlichen Worten definiert. Ein wertvoller Beitrag für die Praxis." Thomas Zerndt, CEO, Business Engineering Institute St. Gallen AG</div><p></p>
</div>

Dieses Buch hilft dem Leser im Umfeld der Digitalisierung bei der Begriffsklärung und stellt einschlägiges Know-how zur Verfügung.&nbsp;Was bedeutet 42? Was ist eine Subchain? Was ist der Unterschied zwischen Robotics und Artificial Intelligence? Der Schwerpunkt liegt dabei auf den Entwicklungen, die seit 2010 mit der Digitalisierung unter dem Namen "Financial Technology" eine zunehmende Verbreitung erlebt haben. Die Begrifflichkeiten umfassen grundlegende Begriffe, die Eingang in die allgemeine Sprache gefunden haben, wie etwa Artificial Intelligence oder Blockchain, aber auch fachspezifische Termini, die für das Verständnis der einzelnen Technologien notwendig sind (zum Beispiel 42, Nonce). Die Fintech-Terminologie bietet dem Leser einen konzisen und gleichzeitig anschaulich dargestellten alphabetisch geordneten Überblick mit den darin enthaltenen praxisorientierten Antworten.

Begriffe für die digitalisierte Finanzwelt

Fintech-Lexikon

Contributions to Economics

<p>
                    Pasquale L. Scandizzo holds a Ph.D. from the University of California, Berkeley. He is Professor of Political Economy, past Director and Fellow of the Center for Economic and International Studies, Senior Fellow and Member of the Advisory Board of the University of Rome “Tor Vergata” Foundation, President of the Villa Mondragone Economic Development Association, President Emeritus of the Italian Society of Development Economics, and Chairman of OpenEconomics International, a university spin off focusing on project evaluation and economic development. His former institutional positions include the Governing Board of the Italian Institute of Statistics, the Italian Institute for Economic Planning (President), the National Planning Board, the Italian Parliamentary Budget Committee (Senior Adviser), the Ministry of Economics and Finance (Economic Adviser) the World Bank (Senior Economist and Research Coordinator). He has developed widely published methodologies to evaluate public investment programs, by combining option theory, cost benefit analysis and computable general equilibrium methods, and
                    <em></em>
                    has been advising the World Bank and other multilateral institutions on the applications of these methodologies to policies of sustainable development.
                </p>

This study explores the transformative potential of Artificial Intelligence (AI) in the tourism sector, emphasizing its role in enhancing service quality, operational efficiency, and global reach. To assess future impacts, the study uses a Social Accounting Matrix (SAM) and a Computable General Equilibrium (CGE) model built on GTAP 11 data. A scenario analyzing €66 billion in AI-tourism investments across G7 and other nations suggests strong short-term returns, particularly for capital and skilled labor, with the U.S. leading due to favorable infrastructure and market conditions. These findings point to the need for skill development and equitable policy design. AI’s capacity to personalize experiences and optimize operations positions it as a key driver of sustainable growth in tourism, with considerable economic spillovers and transformative potential across global markets.

A General Equilibrium Analysis

Tourism, Structural Features and Artificial Intelligence

Contemporary Issues in Air Transport


<p>
<i>Transforming Air Cargo: Innovations, Challenges, and Sustainable Solutions in a Dynamic Market </i>examines the rapidly evolving air cargo industry, addressing the critical factors shaping its future. Sections delve into the impacts of e-commerce growth, technological advancements, the COVID-19 pandemic, and global supply chain restructuring. Topics covered include commercial and regulatory contexts such as air cargo demand forecasting and revenue management, resiliency and sustainability, air cargo flow networks, economic development, strategies for reducing CO<sub>2</sub> emissions, including the adoption of sustainable aviation fuel (SAF), and emerging strategies such as innovative approaches of air cargo carriers and key players like Amazon Prime Air. Final sections investigate technological innovations, including advanced air mobility and digital transformation within the industry.<br><br>This book is an invaluable tool for industry professionals, including air cargo operators, logistics managers, and supply chain experts, as well as academics and students in logistics, transportation, and business management. Readers will gain critical insights into market trends and challenges, empowering them to make informed strategic decisions.</p>


Innovations, Challenges, and Sustainable Solutions in a Dynamic Market

Transforming Air Cargo

Frontiers of Artificial Intelligence, Ethics and Multidisciplinary Applications

<p>This book introduces cutting-edge computational optimization techniques designed especially for AI enabled systems. These techniques inculcate advanced algorithms with real world applications to enhance efficiency and accuracy. Its focus on the hybrid and ensemble models makes it stand out, presenting novel and creative solutions for the complex problems. Through case studies and real-world applications the book not only highlights the theoretical aspects of the optimization techniques but also provides a link between theory and practice. With the help of clear explanations and practical examples the book empowers the readers to delve into the complex problems and providing optimized solutions leading to enhancing the performance of AI enabled systems.&nbsp;</p><p>The book explores the advanced computational optimization techniques covering wide range of topics like nature-inspired algorithms, metaheuristics and hybrid optimization methods. This book caters the need of AI researchers, data scientists and machine learning engineers who aim to optimize their models and algorithms. It will be a valuable resource for the academicians and students studying AI and its related subfield. Professionals in the field of finance, healthcare, agriculture, education where AI applications are prevalent, will benefit from the practical insights provided. Overall, it caters to anyone interested in enhancing AI systems through sophisticated optimization strategies.</p>

Computational Optimization Techniques for Artificial Intelligence Enabled Environments


<p>
</p><p><b>When was the last time you thought something through by yourself, without a screen?<br></b><br>The brain rot happens quietly. You stop drafting emails and start approving them. You cannot answer a question without checking your phone. You stop wrestling with the idea and start accepting the summary. Every shortcut feels like a win until you've outsourced your mind to machines that don't doubt, don't feel, and don't care.<br><br>The atrophy is subtle; the cost is staggering. It's the promotion lost to the person who can still reason out loud. It's your child freezing at an open-ended question because no one ever let her sit in the discomfort of not knowing. We are becoming a generation that prompts brilliantly and thinks almost nothing, and it feels so good we don't even notice.<br><i><br>Use Your Brain</i> is a field guide for sharpening your creativity and original thinking when the generic answer is always a tap away, whether it's in the boardroom or around the kitchen table. From CEOs to artists to students to parents, the most effective navigators of the modern era have one thing in common: they aren't afraid to pick up a new tool, but they know exactly when to put it down and think for themselves.<br><br>Drawing on years of research, globally-recognized leadership expert Erica Dhawan delivers common-sense habits for protecting your judgment that you can start building tonight. You will learn how to catch yourself on autopilot before you act, how to interrogate an answer that looks finished, how to separate signal from noise under pressure, and how to own a decision instead of laundering it through a machine.<br><br>The window to keep your edge is still open, but not for long.</p><p></p>


Think Deeper in a World on Autopilot

Use Your Brain

Data Science and Intelligent Management

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