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 10

&lt;p&gt;Literature Review on Conceptual Understanding in Programming: Foundations for a Validated Assessment Instrument.- Time-Sensitive Networking for Industrial Automation: A Hands-on Approach.- Adoption and User Experience of AI-Enabled Food Kiosks in Quick Service Restaurants: Insights from College Students.- AI-Driven Disease Surveillance and Outbreak Response: A Transparent Informatics Framework for Resource-Limited Healthcare Systems.- Quality Assurance in Focus: Implementation of Quality Culture in a Pangasinan State University.- The Evolution of Network Architecture: From Traditional Models to 5G, IoT, and Quantum Networking.- Enhancing Tax Compliance among E-Commerce MSMEs: The Impact of Digital Financial Technology and Tax Knowledge with Digital Trust as a Moderating Vari-able.- ENVIRONMENTAL, SOCIAL AND GOVERNANCE DISCLOSURE &amp;amp; PRICE SYNCHRONICITY: A STUDY OF AUSTRALIAN MINING COMPANIES.- Determinants of User Satisfaction in Digital Payment System Transactions: A Philippine Perspective.- Charting Crime: Opportunities and Challenges in the Age of Predictive Analytics.- Examining the mediating role of Self Efficacy and Student engagement between Student&amp;rsquo;s Digital Competence and their Academic Performance.- A Comparative Study of Machine Learning and Deep Learning Models for Technology Stock Price Prediction using News Sentiment and Economic Indicators.- Grass Quality Analysis with Unsupervised Gabor-K-Means++ and Advanced Gabor Denoising Techniques.- CNN-Powered Emotion Detection from Audio Recordings.- AMPERE: A Hierarchical Multi-Agent Deep Reinforcement Learning and Evolutionary Algorithm Framework for Optimising Smart Grid Electricity Distribution.- Integration of Information Technologies for Smart and Sustainable Management of Personal Protective Equipment Warehouses.- Fuzzy-Neural Hybrid Models for Early Detection of Neurodegenerative Disorders Using Multimodal Medical Data and Temporal Pattern Analysis.- Understanding the Drivers of Financial Literacy and Digital Investment Behaviour among Generation Z.- A System for Advanced Customer Predictive Analytics for Marketing Automation and Market Accountability.- AI-Enabled Resource Synergy Model (AI-RSM): A Novel Framework for Resource Resilience for Smart Cities.- Developing LINE Application to prevent COVID-19 in Pregnant Women.- Deep Learning in Oncology: A Multi-Modality Survey of Diagnostic and Prognostic Models.- Simulation and Analysis of DDoS Attacks using ML on MAVLink protocol in UAV Communication.- Using ChatGPT for Sustainable Development Educa-tion: Potentials, Risks, and Governance Needs.- Enhancing Intrusion Detection with Hybrid Deep Learning(CNN-LSTM) and Tree-Based Models with XGBoost, and LightGBM.- Green Digital School Management as Technology-Driven Strategies for Achieving Sustainable and Eco-Friendly School Governance.- Feasibility Study of Digital Passes for Human Access Control in Data Centers.- A Survey on Image Forgery Detection Techniques Using Error Level Analysis and Convolutional Neural Networks.- Implementing Zero Trust Architecture in SMEs: Readiness, Barriers, and Tailored Support Strategies &amp;ndash; Evidence from the Czech Republic.- Adaptability of 5G, IoT, and AI in Philippine Digital Infrastructure: Comparative Insights from ASEAN and Global Leaders.- New Method to Construct a Database and Design a Business Process from Intuitional Document Using Generative AI.- ECGGoDevice: A Low-Cost Multifunctional Wearable for Integrated Real-Time Cardiac and Mobility Monitoring.- Preparing and Making Digital Video Lectures for e-Learning &amp;ndash; A Case Study.- EVALUATING THE APPROPRIATENESS OF STATISTICAL TECHNIQUES IN GRADUATE RESEARCH: A DIAGNOSTIC APPROACH.- Quantum-Enhanced Hybrid Intelligence: Fuzzy Logic Meets Neural Networks in Data-Driven Systems.- Blockchain-Enhanced Federated Learning for Privacy-Preserving Model Training in Cloud Computing Systems.- Optimizing Multi-Agent and Functional Architectures for Enhanced Financial Trading Performance: VinTradeAgent Case Study.- The Repercussions of the Chinese Business Culture on the Motivations of Generation-Y to Work in Chinese-Owned Garment Companies.-&amp;nbsp;&lt;br&gt;Assessing Strategic Alignment for Green Finance Adoption in Manufacturing MSMEs for Green Growth.- reKYC for Fintech Security: A Privacy-Preserving Approach to Digital Wallet Verification.&lt;/p&gt;

Master's Thesis from the year 2025 in the subject Leadership and Human Resources - Recruiting, grade: 1,2, University of Applied Sciences Dortmund, language: English, abstract: This master's thesis explores the role of artificial intelligence (AI) in modern recruitment processes with a particular focus on applicants' trust. As digitalization and AI increasingly transform the world of work, organizations are adopting AI-supported recruiting tools to enhance efficiency, standardization, and data-driven decision-making. At the same time, the use of AI in personnel selection raises important questions regarding transparency, fairness, and acceptance from the applicants' perspective.

The objective of this thesis is to examine how applicants perceive AI-assisted recruitment processes and which aspects are relevant for the development of trust in this context. To address this research objective, a qualitative research design was chosen. Semi-structured interviews were conducted with participants who had either experienced AI-supported recruitment processes or reflected on their expectations toward such processes.

The empirical data were analyzed using qualitative content analysis following Kuckartz' approach. This method allows for a systematic examination of subjective perceptions, attitudes, and evaluations, while combining theory-driven and data-driven coding. The analysis focuses on applicants' experiences with different forms of AI usage in recruitment, their expectations toward human and technological decision-making, and their assessment of AI-supported processes within the broader candidate journey.

By linking theoretical concepts of trust in technology with empirical insights from applicants, this thesis contributes to the growing body of literature on AI in recruiting. In addition, it provides a structured foundation for further academic research and offers valuable insights for organizations seeking to better understand applicant perspectives on AI-supported recruitment processes.

Artificial intelligence in the recruitment process. How can companies gain applicants' trust?

Legal Regulation of AI and Sex Discrimination in Employment

How the rise of AI agents--and other forms of autonomous intelligence--will transform every aspect of how companies create value and compete.Companies have long operated with a basic assumption: intelligence is scarce. Talent is limited, expertise is expensive, and good judgment is hard to scale. But that world is ending.AI agents are bringing a new form of labor into the enterprise--one that can work autonomously, learn continuously, and scale instantly. Their embodied counterparts, from drones to humanoid robots, are doing the same in the physical world. Together, these systems are introducing a new economic reality: cognition is becoming cheap, elastic, and abundant.In Abundant Intelligence, Deloitte's Nitin Mittal and futurist Mike Walsh show what happens when intelligence becomes cheap and widely available. Drawing on inside access to the people leading AI transformations at the world's most powerful companies, they uncover how this shift is challenging every assumption about strategy, productivity, and leadership, and what organizations must do now to stay ahead.As abundance becomes the new normal, the leader's job shifts from collecting intelligence to directing it. Those who learn to harness this expanding workforce of digital labor will unlock new levels of speed, creativity, and advantage. For everyone else, the gap will widen fast.

How Digital Labor Will Rewrite the Rules of Business

Abundant Intelligence

The AI Strategy Playbook tackles the biggest paradox of our time: while AI grows exponentially more powerful and affordable, most organizations remain stuck in pilots that never scale. The result is frustration, "AI fatigue," and missed opportunities. This book delivers a practical, structured roadmap that has already guided thousands of executives on how to embed AI into strategy, operations, and business models.Combining academic rigor with hands-on frameworks, global strategy expert René Bohnsack introduces four AI Stacks that every leader needs: the Skill Stack, the Transformation Stack, the Strategy Stack, and the Governance &amp; Control Stack. Together, they help executives move step by step from isolated experimentation to full integration of AI into organizations. The playbook is practical and tested:<ul> <li>The Skill Stack teaches prompting, responsible use, tools use, co-intelligence, and AI mastery.</li> <li>The Transformation Stack provides tools and tactics to move from experimentation with AI to acceleration of use cases and full integration.</li> <li>The Strategy Stack adapts the Play-to-Win model for the AI era, guiding leaders through aspiration, opportunity mapping, building AI moats, designing an AI business model, and creating a roadmap including data readiness.</li> <li>The Governance &amp; Control Stack ensures governance across five dimensions - operational, ethical, legal, environmental, and strategic - and measures progress through the AI Balanced Scorecard.</li> </ul>This book provides the tools, language, and confidence for leaders to act decisively. Readers will not only understand AI's strategic implications but will gain a practical playbook to lead transformation. AI Strategy Playbook: From Zero to 100 is the essential guide for leaders determined to move past hype, avoid paralysis, and create lasting advantage in the age of AI.

From Zero to 100

The AI Strategy Playbook

Accelerating Innovation in the Age of Artificial Intelligence

SuperCreativity

In Digitizing the Supply Chain, Nick Seiersen explores the transformative potential of information technologies in modern supply chain management. This book examines the foundational technologies, tools, and challenges of the digital transformation of supply chains, offering insights into future trends and opportunities.

The author reviews key technologies such as AI, IoT, blockchain, and Big Data, illustrating their application through real-world case studies. Readers will gain a practical understanding of how to leverage these technologies to optimize logistics, enhance cybersecurity, and manage risk.

This book serves as an essential resource for executives and professionals seeking to navigate the complexities of deploying new technologies to build resilient, future-proof supply chains.

How AI and 8 Technology Building Blocks Can Supercharge Your Supply Chain

Digitizing the Supply Chain

The Art Law Library

This open access book investigates the role played by copyright on the digitisation of cultural heritage from three angles: the theoretical differences between cultural property law and copyright; a comparative analysis of the EU, UK, and US; and analysis of current practices and concerns, based on empirical research. As heritage digitisation projects become increasingly common for purposes such as preservation and access, the impact of copyright is also becoming more problematic. In order to provide a full and current picture of the copyright problem, the book first introduces the reader to the debates on the scope and ownership of cultural heritage and provides an overview of the copyright implications of the digitisation process and newer uses, including 2D and 3D scanning; virtual and augmented reality; text and data mining; and artificial intelligence. The author then divides the main critical analysis into three parts, referred to as the 'clashes with copyright'. The first, clash in theory, lies between cultural property law and copyright justification theories. The second clash is in the different legal approaches to digitising in-copyright, public domain, orphan, out-of-commerce and unpublished works in the chosen jurisdictions, focusing on the relevant rights and defences. The third clash is in the interests of stakeholders, based on public reactions to existing projects and cases, supported by interviews with heritage professionals engaging in digitisation. By placing itself in this particular intersection of law, heritage, and technology, the book will be of interest to both intellectual property academics and cultural heritage professionals. The ebook editions of this book are available open access under a CC BY-NC-ND 4.0 licence on bloomsburycollections.com.

Clashes with Copyright Law

Digitising Cultural Heritage

A year of HBR's essential thinking on tech--all in one place.From gen AI to EVs to advanced digital collaboration tools, new tech innovations are reshaping organizations from the factory floor to the C-suite. What should you and your company be doing right now to take advantage of the opportunities these technologies are creating--and to avoid falling victim to disruption?The Year in Tech, 2027: The Insights You Need from Harvard Business Review will help you understand what the latest and most important applications of new tech mean for your organization and how you can use them to compete and win in today's turbulent business environment.Business is changing. Will you adapt or be left behind?Get up to speed and deepen your understanding of the topics that are shaping your company's future with the Insights You Need from Harvard Business Review series. Featuring HBR's smartest thinking on fast-moving issues--blockchain, cybersecurity, AI, and more--each book provides the foundational introduction and practical case studies your organization needs to compete today and collects the best research, interviews, and analysis to get it ready for tomorrow.You can't afford to ignore how these issues will transform the landscape of business and society. The Insights You Need series will help you grasp these critical ideas--and prepare you and your company for the future.

The Year in Tech, 2027: The Insights You Need from Harvard Business Review

edition suhrkamp

Was kommt danach?

Liberale Demokratie ohne Zukunft

Synthetic Media, Deepfakes, and Cyber Deception: Attacks, Analysis, and Defenses introduces the only analytical Synthetic Media Analysis Framework (SMAF) to help describe cyber threats and help security professionals anticipate and analyze attacks. This framework encompasses seven dimensions: Credibility, Control, Medium, Interactivity, Familiarity, Intended Target, and Evocation. Synthetic media is a broad term that encompasses the artificial manipulation, modification, and production of information, covering a spectrum from audio-video deepfakes to text-based chatbots. Synthetic media provides cyber attackers and scammers with a game-changing advantage over traditional ROSE attacks because they have the potential to convincingly impersonate close associates through text, imagery, voice, and video. This burgeoning threat has yet to be meaningfully addressed through any written treatment on the topic. The book is co-authored by three cyber influence and deception experts who have gained deep knowledge and experience on the topic through diverse, true operational pathways and backgrounds. The diversity and perspectives of the author team makes the content in the book the broadest and deepest treatment of synthetic media attacks available to readers.

Attacks, Analysis, and Defenses

Synthetic Media, Deepfakes, and Cyber Deception

Boost your AI quotient for AI-ready leadership.Most leaders know that AI can deliver efficiency gains, making it a company priority in a challenging business environment. But the pace of change is outstripping their ability to adapt. More than 75% of leaders report that AI is creating challenges they have never faced before and these new challenges, anxieties and uncertainty about the future are creating a 'readiness gap'.AI-Q, your AI Quotient, is both a new metric for assessing readiness and a framework for building it. Use the AI-Q MAP (Mindset, Abilities and Practices) to: <ul> <li> assess where you are today </li> <li> identify the critical gaps, and </li> <li> build the leadership and organizational capabilities you need to ensure your AI investments deliver returns. </li> </ul>Futurist and economist Athena Peppes draws on research from leading institutions and expert interviews to offer a new approach to AI-readiness, the new critical leadership capability in the human+AI era.

The new leadership imperative for the Human+AI era

AI-Q

The Key Driver of the Innovation Engine

Understanding the AI Economy

Information Systems for Intelligent Systems

Autres titres sur ce thème