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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;

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.
 
 Die AutorenProf. Dr. Rainer Alt ist Professor für Wirtschaftsinformatik an der Universität Leipzig und Autor zahlreicher Publikationen im Fintech-Bereich.&nbsp;Dr. Stefan Huch ist Senior Director bei Capgemini Invent und vertritt die Professur Digitalisierung von Unternehmensprozessen an der Hochschule Merseburg.
 
 Würdigungen„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„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„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

Begriffe für die digitalisierte Finanzwelt

Fintech-Lexikon

B2B marketers face unique challenges, including non-linear buyer journeys, multiple decision-makers, and long sales cycles, alongside the (mis)perception of their work being boring and lacking in creativity. Written by a seasoned industry practitioner, The Future of B2B Marketing: Harnessing AI to Unlock Smarter Decisions offers original insights and guidance into the evolving B2B landscape, showing how artificial intelligence can be applied at every stage of the buying journey - from capturing awareness from the right audience and generating quality engagement through to optimizing measurement and performance. It serves to both guide experienced professionals while also supporting those new to the industry, offering reminders, confidence-building, and practical approaches for navigating the everyday complexities of B2B marketing. Combining research, frameworks, case studies, and career-focused advice, this book helps marketers embrace new technologies and learn how to put AI into practice, using their own judgement and expertise to act effectively - and ultimately make smarter decisions.

Harnessing AI to unlock smarter decisions

The Future of B2B Marketing

This open access book assesses whether European data regulation can be amended in light of contemporary technological developments. In an era when data powers our daily lives, economies and societies, data regulation is essential. However, European data regulation is still premised on concepts and foundations that were developed more than 50 years ago. The book offers an in-depth exploration of the European data regulatory landscape, from its historical roots to the challenges posed by new technological advancements. Through a detailed legal and technical analysis, it explores key data categories - such as anonymised, pseudonymised, aggregated, sensitive data, and metadata - highlighting their fluid and changing nature and the growing possibilities for transitioning between them. By identifying regulatory tensions and challenges arising from various technologies, such as AI, Big Data, and quantum computing, the book offers policymakers, legal scholars, computer scientists and data protection experts different perspectives on how to reshape future privacy and data protection legislation in a rapidly advancing technological world. The ebook editions of this book are available open access under a CC BY-NC-ND 4.0 licence on bloomsburycollections.com.

The Past, Present, and Future of European Data Regulation

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

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

Management for Professionals

While tenders for IT managed services have evolved, key areas that drive significant business value for customers have seen limited improvement. When collaboration between IT service providers and customers stagnates, the next innovation cycle may not begin for another three years. In today’s fast-paced business environment, few industries can afford such delays. Adaptive IT tenders aim to shorten this cycle, with a stronger focus on innovation and collaboration. These approaches are not just suited to agile companies, but also to more traditional organisations.
This book provides all stakeholders involved in the tendering and management of IT services with a practical set of methods for adaptive tendering. Whether you are part of the executive board, management, a specialist department, IT, sales, purchasing, legal, consulting, or operations, the book offers in-depth guidance on adaptive strategies, comparing them to traditional approaches. Additionally, a glossary is included to ensure clarity and help close any knowledge gaps.

The Path to Agile and Effective IT Outsourcing

Adaptive IT Service Tendering

Precarious Futures
 &nbsp;explores the evolving and emerging relationship between crime and technology in an increasingly complex and interconnected world, along with its implications for new perceptions of crime and deviance. It evaluates the rise of the World Wide Web and the model of cybercrime, questions whether existing criminological thought offers relevance and efficacy in current circumstances, conditions and future predictions, and revisits the concept of Relative Deprivation and&nbsp;the underpinning social psychological and socio-political foundations of it. It argues that&nbsp;Relative Deprivation&nbsp;allied to post-industrial precarity provides a central platform for understanding crime and deviance in a hyper-connected and hyper-commercial neoliberal world.&nbsp;The book develops to explore current criminological and security conceptions of artificial intelligence, big data, crime and social control, as well as hacktivism, and how opportunities for crime have become ‘democratised’ and expanded through the Web. Drawing&nbsp;on empirical data, theoretical narratives and a review of the state of crime now and in a speculative near future, Hamerton and Webber discuss some potential directions for a new transdisciplinary critical criminology.&nbsp;
 Precarious Futures
 &nbsp;speaks to&nbsp;criminologists, sociologists and social theory scholars and students, as well as academics and professionals in associated technological fields such as cyber-security, computer science and web science.
 Christopher Hamerton
 &nbsp;is&nbsp;Deputy Director of the Institute of Criminal Justice Research at the&nbsp;University of Southampton, UK.
 Craig Webber
 &nbsp;is&nbsp;Head of the Department of Sociology, Social Policy and Criminology at the&nbsp;University of Southampton, UK.

Crime, Technology and the Web

Precarious Futures

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).

Exploring Fund Management Expertise

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.

Navigating the Transformation in the AI and Web3 Era

Brand Intelligence

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

Building Resilience and Preventing Catastrophes

Integrating AI for Sustainable Disaster Management

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

Information Systems for Intelligent Systems

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