Über uns

À propos de nous

Nachhaltigkeit

Durabilité

Open Access

Karriere

Carrière

Datenschutz

Protection des données

Impressum

Mentions légales

Zahlung und Lieferung

Paiement et livraison

LEXIA

LEXIA Arbeitsrecht

Was ist LEXIA?

C'est quoi LEXIA ?

LEXIA Familienrecht

Zeitschriften

Revues

recht

Pflegerecht

ZBJV

forumpoenale

ZStrR

Anwaltsrevue

Revue de l'avocat

RSAS

FamPra.ch

ASYL

Life Science Recht

BlAR

Sachbuch

Livres spécialisés

LOKI

Semaphor

Fokusthemen

Focus

Thema

Recht studieren

Arbeitsrecht

Droit du travail

Studium

Études

Familienrecht

Droit de la famille

Sozialversicherungsrecht

Droit des assurances sociales

Strafrecht

Droit pénal

Publikationen

Publications

Literatur

Onlinemodule LEXIA

Modules en ligne LEXIA

Bücher

Livres

Buchreihen

Collections

Datenbanken

recht.ch

Studienliteratur

Littérature pour les études

Services

Dienstleistungen für

Corporate Books

Publishing Lösungen

Aktuelles

Geschäftskunden

Professionnels

Corporate Publishing

Content solutions

Buchhandlungen

Librairies

Veranstaltungen

Événements

Presse

Dozierende

Enseignants

Studierende

Étudiants

Inserierende

Annonceurs

Newsletter

Blog

Autorinnen/Autoren

Auteurs

Unsere Schreibenden

Hilfe

Unsere Autorinnen und Autoren

Liste

Autorenlounge

Espace des auteurs

Bei uns publizieren

Publier chez nous

Autorenstimmen

Témoignages

Verlag

Éditions

Themen

Mehr wissen

Mitarbeitende

Collaborateurs

Geschichte

Histoire

Vision und Mission

Vision et mission

Unser Magazin

Notre magazine

Unternehmenskultur

Culture d'entreprise

Partner

Partenaires

Kontakt

Contact

Shop

Schweizer Recht

Ausländisches Recht

Über unseren Shop

Neuerscheinungen

Nouveautés

Unsere Funktionen

Nos fonctions

Vorankündigungen

À paraître

Nach Rechtsgebiet

Par domaine juridique

Kommentare

Commentaires

Gesamtkatalog

Catalogue complet

This PDF has been created in accordance with the PDF/UA-1 standard to enhance accessibility, including screen reader support, described non-text content (images, graphs), bookmarks for easy navigation

Keine Barrierefreiheitsoptionen des Lesesystems aktiv deaktiviert (außer)

Die Verwendung von Farbe ist nicht das einzige Mittel zur Informationsvermittlung

Hoher Kontrast zwischen Text und Hintergrundfarbe

Strukturelle Navigation Nächste/Zurück

Alle nicht-dekorativen Inhalte unterstützen das Lesen ohne Sehvermögen

Kontakt zum Herausgeber für weitere Informationen zur Barrierefreiheit

Springer Nature Proceedings excluding Computer Science

Andres Iglesias

Jungpil Shin

Nityesh Bhatt

Amit Joshi

Information Systems for Intelligent Systems

Proceedings of ISBM 2025, Volume 9

&lt;p&gt;Spatial Optimization for Emergency Centers in Industrial Zones.- Assessing Drivers of Lifestyle-Based Entrepreneurship in Natural Products Field.- Enhancing Cybersecurity Posture Through Comprehensive Threat Intelligence: Methods, Challenges, and Future Trends.- A Decade of AI in Personal Financial Management: A Bibliometric Analysis of Trends, Intellectual Structures, and Research Opportunities.- Integral Model for the Management and Mitigation of Credit Risk in the Colombian Solidarity Sector.- AI-Generated Music and Its Acceptance on Distribution Platforms: An Experiment from Production to Business Monetization.- CHARACTERIZATION AND ANALYSIS OF BADMINTON RACKET USING SINGLE WALLED AND MULTIWALLED CARBON NANOTUBES.- Harnessing Technology in Professional Education: An Inquiry into Pedagogical Practices and Governance Per-spectives in State Universities and Colleges in the Philip-pines.- Intelligent Access Control Schemes for the Internet of Everything: A Survey of Techniques, Challenges, and Future Directions.- Bridging the Gap: Perceptual Differences Between Physical and Virtual Tours in 360 Maynila.- An In-depth Analysis of the Impact of Feature Transformation Learning on Classification Matrix in Driver Identification.- Enhancing Weather Prediction For Agriculture.- Advancement and Challenges in Chatbot Technology: A Deep Dive into AI-Powered Conversations.- Enabling SME Participation in Cybersecurity Information Sharing: A Human-centric, Socio-technical Model.- System development for ethics in digital record archive: Insight from strategically critical review.- Linking System Effectiveness to Workforce Productivity: A Study on the Use of Electronic Accounting Systems.- The Impact of Digitalization on Total Quality Management and Supply Chain Performance: Evidence from the Manufacturing Sector in a Developing Country.- Disease Prediction in Sericulture and Automation.- The 'Grammarly Effect': A Mixed-Methods Study on the Impact of Instantaneous AI Feedback on Student Writing Anxiety and Revision Processes.- Optimizing Feature Selection for Medical Diagnosis Systems Using Differential Evolution.- Exploring Large Language Models to Assist Finite Element Analysis.- Genetic Algorithm-Driven Parameter Optimization for Practical Torus Fully Homomorphic Encryption.- Project-Based Learning: Comparing the Results of Group and Individual Projects in Undergraduate Program of Information Systems.- Adaptive Ambient Intelligence: Machine Learning Models for Context Prediction in Ubiquitous Systems.- Brand Vulnerability in Digital Age: Effects of Negative Publicity on Purchase Intention.- Website Defacement Detection using Machine Learning Technique.- Liberty to Equality: Hotel Management Application Level of Diversity Management in Selected Department of Tourism Accredited Hotels in Pangasinan.- Unveiling Barriers to Sustainable Fashion Consumption Among Gen Z.- Modelling the Barriers to Gen Z Adoption of Privacy-Preserving AI-Enabled Health Apps.- Integrating AI and Behavioral Analytics for Advanced Insider Threat Detection: A Cross-Disciplinary Approach Combining Cybersecurity and Cognitive Science.- Emotion Classification in News Headlines of Operation Sindoor Using Machine Learning: A Comparative Study of Logistic Regression and SVM.- Machine Learning-Based Clustering for Tuberculosis Patient Segmentation by Risk Factors and Symptom Profiles: A Case Study of Ngao District, Lampang.- StockVisionX: Leveraging Financial News Sentiment and Technical Indicators for Stock Movement Prediction.- A Secure and Efficient Implementation of TLS and QUIC for Secure Satellite Based Communication in UAVs.- Real-Time South African Sign Language interpretation using computer vision methods.- Robust Face Recognition System using Stable Diffusion and Synthetic Data.- Metaverse Entrepreneurship: Pathways of opportunities, challenges, and directions for future research.- Intelligent information system for proactive management of a printing enterprise.- Advancements in Machine Learning: Algorithms, Applications, and Emerging Research Directions.- An IoT-Enabled Real-Time Monitoring, Alerting, and Cloud Data Management System for Optimized Water Quality Control in Recirculating Aquaculture Systems (RAS).- Securing Systems Through Log Anomaly Detection: From Traditional Learning to LLMs.&lt;/p&gt;

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

The job security you thought you had? AI didn't take it. Someone who learned to use AI did.
The headlines scream about AI replacing workers, but they're missing the real story. Artificial intelligence isn't your competition the person in the next cubicle who figured out how to 10x their output with AI tools is.
Adapt or Automate cuts through the fear-mongering and hype to reveal what's actually happening in workplaces worldwide. Drawing on real-world case studies from Nairobi to New York, this book shows how AI is creating a new divide: not between humans and machines, but between those who leverage AI and those who resist it.
Inside, you'll discover:Why AI won't replace you but will replace how you work - and what that means for your career in the next 12-24 months
The "augmentation advantage" - how professionals across industries are using AI to become irreplaceable rather than redundant
The three types of work AI handles best - and the uniquely human skills that are becoming more valuable, not less
Real strategies from real people who've transformed their careers by treating AI as a power tool, not a threat
The economic reality no one's discussing - why companies aren't choosing between humans OR AI, but humans WITH AI versus humans without
A practical 90-day action plan to position yourself on the winning side of the AI revolution


This isn't a technical manual or a dystopian warning. It's a pragmatic guide for anyone who wants to thrive in an AI-augmented workplace whether you're an employee, manager, freelancer, or business owner.
The choice isn't whether AI will transform your industry. It already is. The only question is: Will you adapt, or will you be automated?
Your career in the AI age starts here.

Why AI Won't Take Your Job But Someone Who Uses It Will

ADAPT OR AUTOMATE

Das Fachbuch befasst sich mit den aktuellen Herausforderungen und Trends im Supply Chain Management und insbesondere in der Supply-Chain-Planung. Es zeigt auf einfache Weise, worin diese Herausforderungen bestehen und wie Technologien wie Künstliche Intelligenz, Maschinelles Lernen und Data-Science-Lösungen für Themen wie Lieferengpässe, Risikomanagement, Personalmangel, Bestandsmanagement, Variantenvielfalt und hohe Variabilität bieten können. Es gibt einen Ausblick auf zukünftige Megatrends in der Supply Chain und beschreibt ausführlich, welche Rolle KI und Data Science dabei spielen werden.
Der Leser erhält einen anschaulichen und umfassenden Überblick über die aktuellen Herausforderungen, Trends und Entwicklungen im Supply Chain Management. Er erfährt, welche Lösungsansätze mittels KI, Machine Learning und Data Science für diese Herausforderungen bereits existieren und wo und wie KI in der Supply Chain eingesetzt werden kann, um die Effizienz zu steigern, Risiken zu erkennen und zu vermeiden, Kosten zu senken und die Flexibilität der Wertschöpfungskette zu erhöhen. Für jede Herausforderung zeigt das Buch anhand von Praxisbeispielen, wie Unternehmen von diesen Technologien profitieren und einen signifikanten Wettbewerbsvorteil erzielen können.

Das Fachbuch befasst sich mit den aktuellen Herausforderungen und Trends im Supply Chain Management und insbesondere in der Supply-Chain-Planung. Es zeigt auf einfache Weise, worin diese Herausforderungen bestehen und wie Technologien wie Künstliche Intelligenz, Maschinelles Lernen und Data-Science-Lösungen für Themen wie Lieferengpässe, Risikomanagement, Personalmangel, Bestandsmanagement, Variantenvielfalt und hohe Variabilität bieten können. Es gibt einen Ausblick auf zukünftige Megatrends in der Supply Chain und beschreibt ausführlich, welche Rolle KI und Data Science dabei spielen werden.Der Leser erhält einen anschaulichen und umfassenden Überblick über die aktuellen Herausforderungen, Trends und Entwicklungen im Supply Chain Management. Er erfährt, welche Lösungsansätze mittels KI, Machine Learning und Data Science für diese Herausforderungen bereits existieren und wo und wie KI in der Supply Chain eingesetzt werden kann, um die Effizienz zu steigern, Risiken zu erkennen und zu vermeiden, Kosten zu senken und die Flexibilität der Wertschöpfungskette zu erhöhen. Für jede Herausforderung zeigt das Buch anhand von Praxisbeispielen, wie Unternehmen von diesen Technologien profitieren und einen signifikanten Wettbewerbsvorteil erzielen können.

KI in der Supply Chain

Developments in Applied Microbiology and Biotechnology

Revolutionizing Microbial Technology: Unlocking the Potential of Artificial Intelligence explores the potential integration of artificial intelligence (AI) and machine learning in the fields of microbiology and biotechnology. The book delves into various applications of AI in microbiology across different sectors. This includes coverage of basic microbiology, identification and characterization of microbes, how AI can be implemented in microbiology laboratory practices, and how bioinformatics can help analyze microbial data and help understand complex biological systems. It discusses implementation of AI in healthcare for the diagnosis of microbial diseases and AI-driven microbial therapies and examines potential AI solutions for the acceleration, cost-effectiveness, and efficiency of the drug discovery and drug development process. Additional coverage includes the AI integration in the food and agricultural industries. Revolutionizing Microbial Technology provides a comprehensive understanding to researchers, academics, industry professionals and students of the potential of AI as an advance tool for microbial research and application.

Unlocking the Potential of Artificial Intelligence

Revolutionizing Microbial Technology

Business Analytics in Practice

This book offers a comprehensive guide to blockchain analytics, from foundational concepts to advanced applications, crafted for professionals, academics, policymakers, and students. It begins with an introduction to blockchain technology and analytics, highlighting the unique structure of blockchain data, collection methods, and distinctions from traditional databases. Analytical techniques are covered in depth, including statistical and machine learning methods, real-time analysis, and predictive modeling.
It contains numerous practical industry use cases that demonstrate how blockchain analytics transforms finance, supply chain, and healthcare, enhancing fraud detection, data security, and product verification. Sections on security and privacy address tools to protect blockchain data and manage risks, while global regulatory insights emphasize transparency and policy development. It provides actionable insights on emerging integrations with AI, IoT, and quantum computing.
As such, industry leaders will discover frameworks for integrating blockchain into business, while academics gain insights into the analytic methodologies that underpin blockchain technology. Policymakers and government officials can use this resource to develop policies promoting transparency and security. For students and educators, the book serves as an essential foundation in blockchain, data analytics, and fintech.

Bridging Theory and Practice

Blockchain Analytics for Practitioners

Contributions to Finance and Accounting

Chapter 1. Expertise in fund management (Fredrik Nilsson).- Chapter 2. Performance and fund managers’ expertise (Martin Abrahamson).- Chapter 3. Searching for expert fund managers (Martin Abrahamson).- Chapter 4. Judgments and decisions by expert fund managers (Martin Abrahamson).- Chapter 5. Individual foresight and fund management expertise (Melissa Innes).- Chapter 6. Artificial intelligence in discretionary fund management (Haojun Hu).- Chapter 7. Integrating ESG information in active fund management (Katarzyna Cieslak).- Chapter 8. Analysing fund managers’ accountability (Frank Hartmann).- Chapter 9. Does expertise matter? Concluding reflections (Fredrik Nilsson).

This book offers novel insights into how expert fund managers—those who demonstrate superior performance over the long term—make their judgments and decisions. It is often claimed that actively managed funds create value for investors by making more informed decisions. The general idea is that experts make judgments and decisions that will outperform passively managed funds, i.e., the market. Although such claims seem reasonable, many actively managed funds do not consistently beat the market. Additionally, it is argued that the fees charged by actively managed funds are too high relative to the value they provide. However, some assert that certain fund managers do outperform the market in the long term. Regardless of the position one takes, there is a clear need to critically examine and discuss the concept of fund management expertise.The book also explores how recent and significant societal developments, such as sustainability, artificial intelligence, and multiple accountabilities, are shaping the nature of expertise today and how it might evolve in the future. The book draws on both earlier research on expertise and recent publications related to business and accounting, as well as insights from new empirical studies. It appeals to both scholars and professionals in finance wanting to learn about capital markets and fund management.

Exploring Fund Management Expertise

Das Buch zeichnet die grundstürzende Demontage des Subjekts durch den grassierenden Einfluss der Sozialen Medien, der Künstlichen Intelligenz und des Transhumanismus nach. Ausgehend von einer vielschichtigen Analyse des tradierten Subjektbegriffs wird deutlich, dass das Subjekt nur eine philosophische Fiktion ist. Vor diesem Hintergrund stellt sich die Frage, von welchem Standpunkt aus seiner - im Unterschied zur philosophischen und psychologischen Subjektkritik - unreflektierten und theorielosen Demontage dennoch etwas entgegengesetzt werden kann. Vorgeschlagen wird ein existenzieller Bezug auf das Nichtidentische als Statthalter des individuell Besonderen im Sinne Adornos. Damit werden die klassischen Subjektattribute - Vernunft, freier Wille, Handlungsfreiheit und Autonomie - umgangen, während das Individuelle in seiner Abgrenzung gegen das Allgemeine bewahrt und gerettet wird.

Das Buch zeichnet die grundstürzende Demontage des Subjekts durch den grassierenden Einfluss der Sozialen Medien, der Künstlichen Intelligenz und des Transhumanismus nach. Ausgehend von einer vielschichtigen Analyse des tradierten Subjektbegriffs wird deutlich, dass das Subjekt nur eine philosophische Fiktion ist. Vor diesem Hintergrund stellt sich die Frage, von welchem Standpunkt aus seiner – im Unterschied zur philosophischen und psychologischen Subjektkritik – unreflektierten und theorielosen Demontage dennoch etwas entgegengesetzt werden kann. Vorgeschlagen wird ein existenzieller Bezug auf das Nichtidentische als Statthalter des individuell Besonderen im Sinne Adornos. Damit werden die klassischen Subjektattribute – Vernunft, freier Wille, Handlungsfreiheit und Autonomie – umgangen, während das Individuelle in seiner Abgrenzung gegen das Allgemeine bewahrt und gerettet wird.

Soziale Medien, Künstliche Intelligenz, Transhumanismus

Demontage des Subjekts

This open access book critically analyses a wide range of consumer law issues generated or exacerbated by the Internet of Things. The Internet of Things challenges many of the dichotomies which have shaped current laws: goods-services, hardware-software, tangible-intangible, online-offline. The book focuses on 4 specific challenges: things-as-service, liability, bricking of physical devices through software control, and the potential for enhanced personalisation, especially for digital assistants. The chapters analyse specific applications such as smart homes, connected cars, and consumer wearables with a view to providing innovative solutions to the new challenges posed by the Internet of Things, and to steer the development of the Internet of Things in a fairer direction. As well as offering an important analysis of the potential for smart consumer laws in the Internet of Things, the book also provides important insights into the growing divergence between Germany's and the UK's consumer laws since Brexit. The ebook editions of this book are available open access under a CC BY 4.0 licence on bloomsburycollections.com. Open access was funded by UKRI (Arts and Humanities Research Council) and the German Research Foundation (DFG).

Lessons from Germany and the United Kingdom

From Smart Technologies to Smart Consumer Law

Industrialized Construction in the Age of AI and Robotics explores the transformative convergence of artificial intelligence, robotics, and modern construction methods. This comprehensive textbook reveals how cutting-edge technologies are reshaping the construction industry, offering unprecedented improvements in efficiency, quality, and sustainability.From fundamental concepts to practical applications, the book is divided into three sections. Part One establishes the foundational principles of industrialized construction and introduces the revolutionary potential of AI and robotics. Part Two delves deep into six critical operational areas: AI-driven design systems, agile production processes, intelligent supply chain management, automated on-site assembly, predictive maintenance, and smart work packaging. The final section examines current challenges, from technical and financial constraints to regulatory considerations, before exploring emerging trends and future innovations. Each chapter features detailed case studies and practical examples that bridge theory and real-world implementation.Written for a diverse audience, this essential resource serves as both an academic textbook and a professional reference. Students in Civil Engineering, Industrial Engineering, Construction Engineering and Management, and AI &amp; Robotics programs will find it invaluable for understanding the intersection of these disciplines. Industry practitioners, including construction managers, project engineers, and technology integrators, will gain practical insights into implementing AI and robotics solutions. Whether you're preparing for a career in modern construction, leading technological transformation in your organization, or conducting advanced research in the field, this book provides the interdisciplinary knowledge needed to succeed in construction's AI-driven future.

Industrialized Construction in the Age of AI and Robotics

A Commentary

The EU Artificial Intelligence Act

In the HCD Measurement Guides, you'll learn how to implement measurement strategies using "compiled indicators"-a ontologically-based system of measuring complex, multidimensional outcomes like human-centered design projects. 

This approach allows measurement of indirectly measurable situations without requiring control over all variables, uses accessible computational methods rather than sophisticated statistical modeling, and has been validated by major institutions including USAID, OECD, and the European Union's Eurostat. 

The Concepts portion explains the "why" behind this measurement methodology and works in tandem with the companion Operations guide that details the "how" of identifying indicators, scoring them, and compiling scores to understand both the overall value of offerings and how they should evolve based on evidence.

Concepts & Operations

HCD Measurement Guides

Routledge Advances in Management and Business Studies

This book covers the relationship between artificial intelligence and sustainability goals, bringing together cutting-edge research and insights from business researchers and practitioners.Through real-world case studies from a variety of industries and regions around the world, the book examines how AI can optimise processes, reduce carbon footprints, and support climate action. It also delves into the ethical considerations of deploying AI in an environmentally conscious manner, ensuring that AI's benefits are realised without compromising the planet's well-being.A valuable resource for academics in the fields of AI, sustainability, and business practices. The book will also interest university administrators, industry professionals, and policymakers seeking to drive positive, sustainable change in their respective fields.

Strategies for Modern Businesses

AI-Powered Sustainability

Information Systems for Intelligent Systems

Weitere Titel zum Thema