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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;

Recursions

A Media Theory of Machine Learning

Errant Intelligence

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

Cut through the hype. Master the basics. Transform your work

How to AI

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

Future of Business and Finance

The rise of the Internet, social media, mobile technology, IoT, artificial intelligence (AI), and Web3 has fundamentally transformed how brands engage with consumers—enabling smarter marketing capabilities, personalized user interactions, and exponential growth in revenue, influence, and data value. This book introduces the concept of Brand Digital Intelligence, a two-step framework that helps brands thrive in the digital age through digital transformation and intelligent marketing. Structured around a digital transformation roadmap, the book explores how organizations can build robust digital infrastructure, foster active user participation, and turn consumers into long-term value contributors. 
Key topics include marketing innovation, platform business models, consumer journey design, online communities, smart stores, mobile applications, AI-powered marketing, and decentralized brand strategies enabled by Web3. The book calls for a paradigm shift from traditional campaign-based marketing to intelligent, data-driven ecosystems, where private domains, users, and data become core strategic assets—powered by algorithmic decision-making and compounding flywheel effects that drive sustained growth and engagement. Extending this evolution, the book illustrates how AI-driven brand ecosystems in the Web2 era naturally progress toward autonomous, community-driven organizations in the Web3 world, enabled by tokenized incentives, digital ownership, and co-created value. 
Combining strategic frameworks, real-world case studies, and actionable insights, this book is an essential guide for marketing professionals, technology leaders, entrepreneurs, and investors seeking to master the next frontier of AI and Web3-powered brand transformation.

The rise of the Internet, social media, mobile technology, IoT, artificial intelligence (AI), and Web3 has fundamentally transformed how brands engage with consumers—enabling smarter marketing capabilities, personalized user interactions, and exponential growth in revenue, influence, and data value. This book introduces the concept of Brand Digital Intelligence, a two-step framework that helps brands thrive in the digital age through digital transformation and intelligent marketing. Structured around a digital transformation roadmap, the book explores how organizations can build robust digital infrastructure, foster active user participation, and turn consumers into long-term value contributors. Key topics include marketing innovation, platform business models, consumer journey design, online communities, smart stores, mobile applications, AI-powered marketing, and decentralized brand strategies enabled by Web3. The book calls for a paradigm shift from traditional campaign-based marketing to intelligent, data-driven ecosystems, where private domains, users, and data become core strategic assets—powered by algorithmic decision-making and compounding flywheel effects that drive sustained growth and engagement. Extending this evolution, the book illustrates how AI-driven brand ecosystems in the Web2 era naturally progress toward autonomous, community-driven organizations in the Web3 world, enabled by tokenized incentives, digital ownership, and co-created value. Combining strategic frameworks, real-world case studies, and actionable insights, this book is an essential guide for marketing professionals, technology leaders, entrepreneurs, and investors seeking to master the next frontier of AI and Web3-powered brand transformation.

Navigating the Transformation in the AI and Web3 Era

Brand Intelligence

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

NomosStudium

Das Lehrbuch trägt den veränderten Anforderungen an die juristische Ausbildung Rechnung und gibt Antworten zu Rechtsfragen im Zusammenhang mit der Nutzung künstlicher Intelligenz. In einem ersten Teil, der der Digitalisierung juristischer Wertschöpfungsketten gewidmet ist, werden die Grundlagen der Digitalisierung des Rechtsmarkts und deren rechtliche Grenzen aufgezeigt, etwa durch das anwaltliche Berufsrecht. Sodann werden Aspekte und Methoden einer Business Analyse für den Bereich Recht dargestellt. Schließlich beschäftigt sich ein eigenes Kapitel mit rechtlichen und ethischen Anforderungen an künstliche Intelligenz und darauf aufbauende Systeme und Technologien. Hierzu zählen insbesondere Fragen der zivilrechtlichen Verantwortung für fehlerhaftes Handeln, Fragen der Produkthaftung und der Produktsicherheit sowie Fragen zum Recht auf informationelle Selbstbestimmung.

Das Lehrbuch trägt den veränderten Anforderungen an die juristische Ausbildung Rechnung und gibt Antworten zu Rechtsfragen im Zusammenhang mit der Nutzung künstlicher Intelligenz. In einem ersten Teil, der der Digitalisierung juristischer Wertschöpfungsketten gewidmet ist, werden die Grundlagen der Digitalisierung des Rechtsmarkts und deren rechtliche Grenzen aufgezeigt, etwa durch das anwaltliche Berufsrecht. Sodann werden Aspekte und Methoden einer Business Analyse für den Bereich Recht dargestellt. Schließlich beschäftigt sich ein eigenes Kapitel mit rechtlichen und ethischen Anforderungen an künstliche Intelligenz und darauf aufbauende Systeme und Technologien. Hierzu zählen insbesondere Fragen der zivilrechtlichen Verantwortung für fehlerhaftes Handeln, Fragen der Produkthaftung und der Produktsicherheit sowie Fragen zum Recht auf informationelle Selbstbestimmung.

Digitalisierung und Recht

A new era of SQL Server is here, and this latest edition of Grant Fritchey’s best-selling dive into SQL Server query performance can ensure your queries keep up.

The fundamentals are still here: You’ll learn how statistics and indexes impact performance, how to identify poorly performing queries, and how to discover effective solutions. But this new edition also includes advanced features unique to SQL Server 2025, such as AI integration for automatic tuning, insights on using extended events, automatic execution plan correction, and more. It’s a must-have resource designed to empower you to troubleshoot slow-performing queries and make them run faster than ever.

The book is a treasure trove of instruction, insight, and advice. As you dive in, you’ll encounter key fundamentals, from statistics and data distribution to cardinality and parameter sniffing, and learn to analyze and design your indexes and queries using best practices that prevent performance problems before they occur. You’ll also explore advanced features like Query Store for managing and controlling execution plans, automated performance tuning, and memory-optimized OLTP tables and procedures—and learn how SQL Server 2025 makes it all more powerful and automatable than ever.

What You Will Learn

Use Query Store to understand and easily change query performance

Recognize and eliminate bottlenecks leading to slow performance

Tune queries whether on-premises, in containers, or on cloud platform providers

Implement best practices in T-SQL to minimize performance risk

Design in the performance that you need through careful query and index design

Understand how built-in, automatic tuning can assist your performance enhancement efforts

Protect query performance during upgrades to the newer versions of SQL Server




Who This Book Is For

Developers and database administrators with responsibility for query performance in SQL Server environments, and anyone responsible for writing or creating T-SQL queries and in need of insight into bottlenecks—including how to identify them, understand them, and eliminate them

Troubleshoot and Optimize Query Performance

SQL Server 2025 Query Performance Tuning

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

Building Resilience and Preventing Catastrophes

Integrating AI for Sustainable Disaster Management

Springer Proceedings in Business and Economics

Proceedings from the 3rd DTS International Conference, Paris, France, May 22-23, 2025

Human-Machine Synergy and the Digital Future - Exploring Collaboration and Competition, Vol 2

Information Systems for Intelligent Systems

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