Business mathematics and systems Books

Book SynopsisThe hunt for new forms of value generation is shaping the future of economic and financial interactions, leading to the emergence of innovative business models and technological enablers. Other than challenging our time and space limits, such technological advancements, in some cases, have allowed the generation of value at nearly zero marginal cost. Inevitably, emergent tech solutions are fundamental game changers in digital and conventional finance. In this regard, the book fleshes out the core developments and trending fintech 2.0 solutions that pause challenges and bring opportunities for businesses and economies. It comprises nine main chapters with collective insights and interdisciplinary perspectives covering the business, tech, and regulatory layers of financial technologies and decentralized finance. Besides, the book illustrates how to leverage these state-of-the-art technologies for the evolving digital and decentralized finance world. The book targets a broad audience of researchers, academia, industry professionals, fintech enthusiasts, and the general business audience with timely data and up-to-date cases.Table of ContentsPART I Financial Technologies: Theory and Practice PART II Towards a Distributed Network Economy: Decentralized Finance PART III Fintech and Defi- Issues, Policy, and Reg-ulatory Insights

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Book SynopsisThis book presents select contributions of the International Scientific-Practical Conference 2021 (ISCP 2021) organized by East European University (Georgia) and Fresenius University of Applied Sciences (Germany). It discusses the challenges of digital transformation during and after the pandemic and introduces advanced research and solutions from both academic and professional’s aspects. The topics covered include digitalization in social and corporate responsibility, e-commerce and digital entrepreneurship, and digitalization in education.The book is an interesting read for researchers and professionals interested in digital management.

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Book SynopsisData has become an indispensable success factor for every company. However, the road towards a data-driven organization is paved with numerous challenges. This book presents a process model for the path to a data-driven company and provides recommendations for the design of all relevant fields of action: Which structures need to be created? Which systems and processes have proven beneficial? How can the quality of the data be ensured and what requirements exist for a data-driven organization in the areas of governance and communication? And last but not least: How can employees be brought along on the journey and what implications does the data-driven organization have for our corporate culture? The book presents an orientation and action framework for the strategic and operational design of a data-driven organization and is valuable for managers who are involved in data management in companies and organizations.Table of ContentsForeword1 Background and drivers of the data-driven organization 2 Characteristics of the data-driven organization 3 Challenges and barriers of the data-driven organization 4 Process Mode for Data Management 5 Process model for implementing the data-driven organization 6 Closing words

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Book SynopsisThis book presents a collection of state-of-the-art research findings on the digital transformation of financial services. Digitalization has fundamentally changed financial services and has a tendency to reshape the landscape of the financial industry in an unprecedented manner. Over the last ten years, the development of new financial technologies has contributed to the creation of new business and organizational models, along with new approaches to service delivery. By encompassing significant conceptual contributions, innovations in methods and techniques, and by delineating the main applications of digital transformation in Central and Eastern Europe (CEE), the volume extends current knowledge on digital transformation in the financial industry. The book is divided into two parts. The first part provides a social-science perspective on digital transformation in the financial industry. The second part provides the most recent evidence on how financial technologies are transforming financial services on the markets, and how the adoption of modern information technologies fosters setting up new financial services. Further, this part outlines new approaches to digital transformation in the financial industry.This book will appeal to students, scholars, and researchers of finance, monetary economics, and business, as well as practitioners interested in a better understanding of the digital transformation of financial services, new financial technologies, and innovations in finance. Table of ContentsChapter 1. Effects of ERP on Accounting Information System: Analysis of Accountants’ Attitudes.- Chapter 2. Impact of Digitalization on the Accounting Profession.- Chapter 3. The Impact of Digitalization on Audit.- Chapter 4. The Effect of Innovation Through Intangible Assets on Company’s Profitability.- Chapter 5. Disrupting the Stock Market: Stocks Gone Crypto.- Chapter 6. The Future of Banking in FinTech Era: Decentralised and Embedded Finance.- Chapter 7. Digital Transformation of the Serbian Car Insurance Industry: a Mixed-method Approach.- Chapter 8. InsurTech - New Competition to Traditional Insurers and Impact on the Economic Growth.- Chapter 9. Customersʼ Intention in Terms of Using Mobile Banking Services in Serbia.- Chapter 10. New Ways of Providing Public Services: Platforms of Service Provision and the Role of Artificial Intelligence – in the Light of the Development of the Hungarian Public Administration.- Chapter 11. Preventing the Abuse of the FinTech Sector for Money Laundering and Fiscal Fraud in Terms of Polish Law – Legal Measures and Postulates of Normative Changes.- Chapter 12. Digital Payment Systems: State and Perspectives.- Chapter 13. Leveraging Open Banking: Challenges and Opportunities.- Chapter 14. FinTech Innovations as Disruptor of the Traditional Financial Industry.- Chapter 15. Cybercrime and Cyber Security in FinTech.- Chapter 16. Mobile Applications for Personal Finance Management: Technology Acceptance Perspective.- Chapter 17. Digital Payment Systems for Small to Middle-sized Enterprises in Serbia.- Chapter 18. Digital Payment Systems on High-speed Railway Belgrade - Novi Sad With a Comparative Analysis.

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Book SynopsisThis is one of the first books to combine the current megatrend of digitalization and pricing as the most effective lever for increasing and sustaining profits. The book presents the basics of digital pricing as well as modeling methods and implementation examples. This structure helps in tackling the latest developments and challenges due to digitalization. Readers will gain a detailed insight into using innovative revenue and price models to generate a sustainable competitive advantage for their companies. The author uses his cross-industry experience to draw on several examples of innovative digital pricing approaches which can be applied in industrial sectors such as automotive, industrial goods and machinery, as well as service sectors like telecommunications, transportation and tourism.Table of ContentsBasics of Price Management.- Characteristics of Digital Pricing.- Business Models.- Revenue Models.- Pricing Process Part 1: Analysis.- Pricing Process Part 2: Strategy.- Pricing Process Part 3: Structure (3a: Price Differentiation).- Pricing Process Part 3: Structure (3b: Price Models).- Pricing Process Part 3: Structure (3c: Price Optimization).- Pricing Process Part 3: Structure (3d: Portfolio Pricing).- Pricing Process Part 4: Implementation.- Pricing Process Part 5: Monitoring.- Pricing Process and Pricing Psychology.

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Book SynopsisMost existing companies struggle currently because they lack the tools and strategies to move product departments into independent platforms that can be retrofitted to form dynamic new products based on consumer demands. This book provides managers and professionals with the necessary approaches for designing software and hardware architectures to support data platform organizations. Specifically, it demonstrates how to automate the decomposition of existing platforms into smaller parts that can be reused to form new variations. This task requires significant analysis and design methodologies and procedures to create an infrastructure based on data as opposed to products. These new knowledge bases allow data-centric professionals to pursue actions that can better predict and respond to the unexpected. Featuring case examples from companies such as Lego, FedEx, General Electric (GE), Pfizer, P&G and more, this book is appropriate for C-level executives engaged in the digital transformation of their firms; entrepreneurs of digital platform companies; and senior software engineers that need to design Internet of Things (IoT) devices and integrate them with block chain and multi-cloud architectures. In addition, this book is also useful for graduate-level coursework in data science.Table of ContentsAn Introduction to Data Dominance.- The Digital Data-Centric Enterprise: Case Studies.- The Product Strategy .- The Data Strategy .- Data: Organizing the Data Ecosystem.- Process: Building Digital Data-Centric Products.- Culture: Friction in Scaling the Product Portfolio .- Alignment: Data Strategy Management and Leadership.- Effects of Wireless Communications and IoT on Data Aggregation.- Blockchain Data Architecture.- Transforming Legacy Systems to Data Platforms.- Conclusion.

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Book SynopsisThe two-volume set LNBIP 480 and 481 constitutes the refereed proceedings of the 22nd Wuhan International Conference, WHICEB 2023, held in Wuhan, China, in May 2023. The 61 full papers presented in these proceedings were carefully reviewed and selected from 350 submissions. They focus on innovative research findings, solutions, and approaches to make the Internet a productive and efficient vehicle for global commerce. This year’s topic is “Digital Empowerment for an Intelligent Future“.Table of ContentsBibliometric Analysis on the Research Hotspots of Recommender Systems.- Research on Knowledge Sharing Efficiency Evaluation of Open Innovation Community: A case of Xiaomi Community.- Stock Price Overvaluation and Digital Transformation Investment of Listed SMEs: Impact Analysis and Path Testing.- A Tripartite View on Performance Matrices of Live Commerce.- Synergizes HeXie management framework with program management approach for Industry 4.0 transformation.- Big Data-Based Recommendation Algorithm in E-commerce Personalized Marketing.- How digital change and innovation in the workplace affect front-line employee retention: a cross-sectional study based on the aged care industry.- A Case Study of Collaborative Learning within a Digitalization Learning Environment.- A Study on the Influence Mechanism of Self-sacrificial Leadership on Employee Engagement-Based on Dual Identity Perspective.- Impact of Data Breach on IT Investment: Moderating Role of Buyer-supplier Relationship.- The Influence of Benefit Appeals in CSR Communication on Consumers' Willingness to Co-creation.- The influence of marketing stimuli and contextual factors on consumers' intention to make impulse purchases in live e-commerce .- How Older Adults’ Moments Sharing in SNS Contributes to Their Subjective Well-being.- Video Going Viral: Subjective Emotional Clash Vs. Objective Emotional Assertion.- Understanding First-aid Learning Intention through Using Social Media: Perceptions from External Emergency Events and Individual Internal Changes.- Impacts of Analyst Reports’ Descriptions of Corporate Innovative Behavior on Stock Price Synchronicity.- Understanding Users’ Ask Intention on Paid Q&A Platform from the Perspective of Impression Management.- How do we trust AI service? Exploring the trust mechanism in AI service.- A Study into Sponsorship Disclosure on Video Sharing Platforms: Evidence from Bilibili.- How Restaurant Attributes Affect Customer Satisfaction: A Study Based on Sentiment Analysis, Neural Network Modelling and Kano Model Classification.- A Method for Recommending Resources Across Virtual Academic Communities based on Knowledge Graph and Prompt Learning.- How Industrial Supportive Policies Drive the Corporation Attention Shifting: A Case Study of BYD from New Energy Vehicles Industry.- Optimal Platform Intrusion and Supplier Selection Strategy Oriented by Fresh Agriculture Product Supply Chains of Different Power-Structure.- Investment Risk Analysis and Countermeasure in Five Central Asian Countries for Chinese Investors.- How Knowledge Characteristics and Platform Characteristics Drive Users’ Purchase Intention of Online Paid Health Knowledge.- An Empirical Study on the Impact of Government Microblogs on Online Engagements during the Covid-19 Outbreak.- The Concept and Connotation of Enterprise Digital Transformation.- Research Hotspots and Frontier Analysis of Digital Marketing in China.- Study on Spatio-temporal Topic-sentiment Synergy Model and Visualization of Online Public Opinion on Public Health Emergency.- The Impact of Blockchain on the Credit Risk of Supply Chain Finance: A Tripartite Evolutionary Game Analysis.

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Book SynopsisThis book constitutes the proceedings of the 17th International Conference on Research Challenges in Information Sciences, RCIS 2023, which took place in Corfu, Greece, during May 23–26, 2023. It focused on the special theme "Information Science and the Connected World".The scope of RCIS is summarized by the thematic areas of information systems and their engineering; user-oriented approaches; data and information management; business process management; domain-specific information systems engineering; data science; information infrastructures, and reflective research and practice. The 28 full papers presented in this volume were carefully reviewed and selected from a total of 87 submissions. The book also includes 15 Forum papers and 6 Doctoral Consortium papers. The contributions were organized in topical sections named: Requirements; conceptual modeling and ontologies; machine learning and analytics; conceptual modeling and semantic networks; business process design and computing in the continuum; requirements and evaluation; monitoring and recommending; business process analysis and improvement; user interface and experience; forum papers; doctoral consortium papers. Two-page abstracts of the tutorials can be found in the back matter of the volume. Table of ContentsRequirements.- Goal Modelling: Design and Manufacturing in Cloud Migration High-Level Requirements.- Idea Browsing on Digital Participation Platforms: A Mixed-methods Requirements Study.- Conceptual modeling and ontologies.- What Do Users Think about Abstractions of Ontology-Driven Conceptual Models.- On the Semantics of Risk Propagation.- The omnipresent role of technology in social-ecological systems: ontological discussion and updated integrated framework.- Machine Learning and Analytics.- Detection of fishing activities from vessel trajectories.- Framework for Blockchain Data Analysis.- Reinforcement learning for scriptless testing: An empirical investigation of reward functions.- Conceptual modeling and semantic networks.- DBSpark: A system for natural language to SPARQL translation.- An Automated Patterns-based Model-to-Model Mapping and Transformation System for Labeled Property Graphs.- Improving Conceptual Domain Characterization in Ontology Networks.- Business Process Design and Computing in the Continuum.- Digital Technology-Driven Business Process Redesign: A Classification Framework.- Supporting the Implementation of Digital Twins for IoT-Enhanced BPs.- Context-Aware Digital Twins to Support Software Management at the Edge.- Adoption of Virtual Agents in Healthcare E-commerce: a Perceived Value Perspective.- Requirements and Evaluation.- Addressing Trust Issues in Supply-Chain Management Systems through Blockchain Software Patterns.- Evaluating Process Effciency with Data Envelopment Analysis: a Case in the Automotive Industry.- A Model of Qualitative Factors in Forensic-Ready Software Systems.- Monitoring and recommending.- Monitoring object-centric Business Processes: An Empirical Study.- A Peekinto the Working Day: Comparing Techniques for Recording Employee Behaviour.- Context-aware recommender systems: aggregation-based dimensionality reduction.- Business processes analysis and improvement Discovery of Improvement Opportunities in Knock-out Checks of Business Processes.- Persuasive Visual Presentation of Prescriptive Business Processes.- TraVaG: Differentially Private Trace Variant Generation Using GANs.- User interface and experience.- When Dashboard’s Content Becomes a Barrier - Exploring the Effects of Cognitive Overloads on BI Adoption.- The effect of visual information complexity on urban mobility intention and behavior.- Interoperability of Open Science Metadata: what about the reality.- Forum papers. -Online-Notes System: Real-time speech recognition and translation of lectures.- Temporal relation extraction from clinical texts using knowledge graphs.- Domain TILEs: Test Informed Learning with Examples from the Testing Domain.- Using GUI change detection for delta testing.- Enterprise Modeling for Machine Learning: Case-based Analysis and Initial Framework Proposal.- Towards Creating a Secure Framework for Building Mirror World Applications.- Towards a Secure and Privacy compliant Framework for Educational Data Mining.- Internet of Cloud (IoC): The need of raising privacy and security awareness.- Comparative study of unsupervised keyword extraction methods for job recommendation in an industrial environment.- A Meta-model for Digital Business Ecosystem Design.- Students in Team-Based Software Development Projects: An Exploratory Study.- Ontology of Product Provenance for Value Networks.- A Data Value Matrix: Linking FAIR Data with Business Models.- An Information Privacy Competency Model for Online Consumers.- DECENT: A Domain Specific Language to Design Governance Decisions.- Doctoral Consortium papers.- Business User-oriented Recommender System of Data.- Secure infrastructure for cyber-physical ranges.- Guidelines for Developers and Recommendations for Users to Mitigate Phishing Attacks: An Interdisciplinary Research Approach.- Leveraging Exogeneous Data for the Predictive Monitoring of IT Service Management Processes.- Predicting privacy decisions in mobile applications and raising users’ privacy awareness.- Information overload: Coping mechanisms and tools impact.

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Book SynopsisThis open access book constitutes the proceedings of the 24th International Conference on Agile Software Development, XP 2023, which took place in Amsterdam, The Netherlands, during June 13-16, 2023. XP is the premier agile software development conference combining research and practice. It is a unique forum where agile researchers, practitioners, thought leaders, coaches, and trainers get together to present and discuss their most recent innovations, research results, experiences, concerns, challenges, and trends.  XP conferences provide an informal environment to learn and trigger discussions and welcome both people new to agile and seasoned agile practitioners. This year’s conference was held with the theme “Whole Team Sustainability”. The 11 full papers and 1 short paper presented in this volume were carefully reviewed and selected from 40 submissions. They focus on agile practices and agile in the large.Table of ContentsAgile Practices.- Integrating Issue Management Systems of Independently Developed Microservices.- A novel technique to assess Agile systems for stability.- Overcoming Challenges of Virtual Scrum Teams: Lessons Learned Through an Action Research Study.- Waste Self-Reporting for Software Development Productivity Improvement.- A Lean Approach of Managing Technical Debt in Agile Software Projects – A proposal and empirical evaluation.- An Empirical Study about the Instability and Uncertainty of Non-functional Requirements.- Agile in the Large.- Striving for Freedom in a Large-scale Agile Environment with an Entrepreneurial Mindset of a Product Owner.- Sustaining agility: organizational change, factors and theoretical lenses.- The Role of Responsiveness to Change in Large Onboarding Campaigns.- Organisational conflicts in the adoption of continuous software engineering.- Agile Interdisciplinary Product Teams: Overcoming Juridical Hurdles in the Early Phase of Public Sector Datafication.- Short Paper.- Real-life Water-Scrum-Fall: Insights from Large Companies in Czech Republic.

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Book SynopsisThis book contains the refereed proceedings of two long-running events held along with the CAiSE conference relating to the areas of enterprise, business-process and information systems modeling: * the 24th International Conference on Business Process Modeling, Development and Support, BPMDS 2023, and * the 28th International Conference on Exploring Modeling Methods for Systems Analysis and Development, EMMSAD 2023. The conferences were taking place in Zaragoza, Spain, during June 12-13, 2023. For BPMDS 9 full papers and 2 short papers were carefully reviewed and selected for publication from a total of 26 submissions; for EMMSAD 9 full papers and 3 short papers were accepted from 26 submissions after thorough reviews. The BPMDS papers deal with a broad range of theoretical and applications-based research in business process modeling, development and support. EMMSAD focusses on modeling methods for systems analysis and development. Table of ContentsBPMDS 2023.- Just Tell Me: Prompt Engineering in Business Process Management.- Reinforcement Learning-supported AB Testing of Business Process Improvements: An Industry Perspective.- Modelling and Execution of Data-Driven Processes with JSON-Nets.- Aligning object-centric event logs with data-centric conceptual models.- From Network Traffic Data to a business-level Event Log.- A Novel Decision Mining Method Considering Multiple Model Paths.- Modeling, Executing and Monitoring IoT-Driven Business Rules.- A Generic Approach towards Location-aware Business Process Execution.- Time-aware Contract Model for Legal Smart Contracts.- Efficient Computation of Behavioral Changes in Declarative Process Models Nicolai Schützenmeier.- Beyond Temporal Dependency: An Ontology-Based Approach to Modeling Causal Structures in Business Processes.- EMMSAD 2023.- Principles of universal conceptual modeling.- Supporting Method Creation, Adaptation and Execution with a Low-code Approach.- IAT/ML: A Domain-Specific Approach for Discourse Analysis and Processing.- A First Validation of the Enterprise Architecture Debts Concept.- Modeling heterogeneous IT infrastructures: a collaborative component-oriented approach.- Exploring Capability Mapping as a Tool for Digital Transformation: insights from a Case Study.- TEC-MAP: a Taxonomy of Evaluation Criteria for Multi-Modeling Approaches.- Integrating Physical, Digital, and Virtual Modeling Environments in a Collaborative Design Thinking Tool.- Opportunities in Robotic Process Automation by and for Model-Driven Software Engineering.- A Requirements-Driven Framework for Automatic Data Visualization.- Comparing different visualizations for feedback on test execution in a Model-Driven Engineering environment.- Unblocking Inductive Miner - While Preserving Desirable Properties.

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Book SynopsisThis book is a revised version of the PhD dissertation written by the author at the Free University of Bozen-Bolzano in Italy. It presents a new approach to safety verification of a particular class of infinite-state systems, called Data-Aware Processes (DAPs). To do so, the developed technical machinery requires to devise novel results for uniform interpolation and its combination in the context of automated reasoning. These results are then applied to the analysis of concrete business processes enriched with real data. In 2022, the PhD dissertation won the “BPM Dissertation Award”, granted to outstanding PhD theses in the field of Business Process Management. Table of ContentsIntroduction.- 1.1 Overview.- 1.1.1 Finite-State Model Checking.- 1.1.2 Verification of Data-Aware Processes.- 1.1.3 Infinite-state Model Checking: from Parameterized Systems to SMT Verification.- 1.1.4 Main Goal of the Book.- 1.2 Related Literature.- 1.2.1 Formal Models for Data-Aware (Business) Processes.- 1.2.2 Verification of Data-Aware Processes.- 1.2.3 Model Checking for Infinite-State Systems using SMT-based Techniques.- 1.3 Contributions of the Book.- 1.3.1 Contributions of the First Part.- 1.3.2 Contributions of the Second Part.- 1.3.3 Contributions of the Third Part.- Part I Foundations of SMT-based Safety Verification of Artifact Systems.- 2 Preliminaries from Model Theory and Logic.- 3 Array-Based Artifact Systems: General Framework.- 4 Safety Verification of Artifact Systems.- 5 Decidability Results via Termination of the Verification Machinery.- 6. Preliminaries For (Uniform) Interpolation.- 7 Uniform Interpolation for Database Theories.- 8 Combination of Uniform Interpolants for DAPs Verification.- 9 MCMT: a Concrete Model Checker for DAPs.- 10 Business Process Management and Petri Nets: Preliminaries.- 11 DABs: a Theoretical Framework for Data-Aware BPMN.- 12 delta-BPMN: the operational and implemented counterpart of DABs.- 13 Catalog Object-Aware Nets.- 14 Conclusions.- References.

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Book SynopsisThis book aims to improve the understanding of smart service innovations. It contributes to evidence-based knowledge about service systems engineering and its embedding in service ecosystems, in particular how existing reference process models can be extended by considering actors, roles, activities and methods. At the same time, it aims to stimulate discussions on how methods from different disciplines can be used and combined for the development of various aspects of Smart Service Systems. Thus, the book offers support for practitioners to better organize and execute SSI projects and to develop internal competencies.Table of ContentsIntroduction.- Conceptual Background.- Current Approaches to the Development of Service Systems.- Research Approach.- Summary of Findings.- Discussion.- Conclusion.

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Book SynopsisChapter 3 describes the modeling of a business system in terms of its underlying concepts and the business rules that apply within the modeled system.

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Book SynopsisInformation Systems for Sustainable Development.- Technological Advances for Sustainable Development.- Smart Energy Management for Sustainable Development.- Digital Learning for Sustainable Development.- E-Healthcare for Sustainable Development.- Smart GIS and Earth Management.

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Book SynopsisIn light of this fast moving context, insights into the actual practice of BPM have become indispensable points of reference.The BPM Cases Volume 3 adds 16 new cases to the existing 53 cases from Volumes 1 and 2, bringing the case collection to a total of 69 cases from many well-known organizations across industries and around the world.

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Book SynopsisThis encyclopedia will be an essential resource for our times, reflecting the fact that we currently are living in an expanding data-driven world. Technological advancements and other related trends are contributing to the production of an astoundingly large and exponentially increasing collection of data and information, referred to in popular vernacular as “Big Data.” Social media and crowdsourcing platforms and various applications ― “apps” ― are producing reams of information from the instantaneous transactions and input of millions and millions of people around the globe. The Internet-of-Things (IoT), which is expected to comprise tens of billions of objects by the end of this decade, is actively sensing real-time intelligence on nearly every aspect of our lives and environment. The Global Positioning System (GPS) and other location-aware technologies are producing data that is specific down to particular latitude and longitude coordinates and seconds of the day. Large-scale instruments, such as the Large Hadron Collider (LHC), are collecting massive amounts of data on our planet and even distant corners of the visible universe. Digitization is being used to convert large collections of documents from print to digital format, giving rise to large archives of unstructured data. Innovations in technology, in the areas of Cloud and molecular computing, Artificial Intelligence/Machine Learning, and Natural Language Processing (NLP), to name only a few, also are greatly expanding our capacity to store, manage, and process Big Data. In this context, the Encyclopedia of Big Data is being offered in recognition of a world that is rapidly moving from gigabytes to terabytes to petabytes and beyond. While indeed large data sets have long been around and in use in a variety of fields, the era of Big Data in which we now live departs from the past in a number of key respects and with this departure comes a fresh set of challenges and opportunities that cut across and affect multiple sectors and disciplines, and the public at large. With expanded analytical capacities at hand, Big Data is now being used for scientific inquiry and experimentation in nearly every (if not all) disciplines, from the social sciences to the humanities to the natural sciences, and more. Moreover, the use of Big Data has been well established beyond the Ivory Tower. In today’s economy, businesses simply cannot be competitive without engaging Big Data in one way or another in support of operations, management, planning, or simply basic hiring decisions. In all levels of government, Big Data is being used to engage citizens and to guide policy making in pursuit of the interests of the public and society in general. Moreover, the changing nature of Big Data also raises new issues and concerns related to, for example, privacy, liability, security, access, and even the veracity of the data itself.Given the complex issues attending Big Data, there is a real need for a reference book that covers the subject from a multi-disciplinary, cross-sectoral, comprehensive, and international perspective. The Encyclopedia of Big Data will address this need and will be the first of such reference books to do so. Featuring some 500 entries, from "Access" to "Zillow," the Encyclopedia will serve as a fundamental resource for researchers and students, for decision makers and leaders, and for business analysts and purveyors. Developed for those in academia, industry, and government, and others with a general interest in Big Data, the encyclopedia will be aimed especially at those involved in its collection, analysis, and use. Ultimately, the Encyclopedia of Big Data will provide a common platform and language covering the breadth and depth of the topic for different segments, sectors, and disciplines. Table of ContentsAdvertising Targeting.- Algorithm.- Algorithmic Accountability.- American Bar Association.- American Civil Liberties Union.- American Library Association.- Animals.- Anonymity.- Anonymization techniques.- Anthropology.- Apple.- Archaeology.- Arts.- Asian Americans Advancing Justice.- Association vs. Causation.- Astronomy.- Automated Modeling/Decision Making.- Behavioral Analytics.- Belgium.- Big Data Business Model Maturity Index.- Big Data Storytelling, Digital Storytelling.- Big Humanities Project.- Big Variety Data.- Bioinformatics.- Biomedical Data.- Biometrics.- Biosurveillance.- Blogs.- Brand Monitoring.- Business-to-Business (B2B).- Business-to-Community (B2C).- Cancer.- Cell Phone Data.- Center for National Security Studies.- Charter of Fundamental Rights (EU).- Clickstream Analytics.- Cloud Services.- Common Sense Media.- Communications.- Complex Networks.- Computational Social Sciences.- Computer Science.- Content Management System (CMS).- Content Moderation.- Correlation vs. Causation.- Criminology and Law Enforcement.- Crowdsourcing.- Cultural Analytics.- Curriculum, Higher Education, Humanities.- Curriculum, Higher Education, Social sciences.- Cyber Espionage.- Cyber Threats/Attacks.- Cybersecurity.- Data Integration.- Data Mining.- Data Model, Data Modeling.- Data Monetization.- Data Provenance.- Data Repository.- Data Science.- Data Scientist.- Data Visualization.- Data-Driven Marketing.- Data-Information-Knowledge-Action Model.- Decision Theory.- Decision Tree.- Demographic Data.- Digital Advertising Alliance.- Digital Divide.- Digital Knowledge Network Divide.- Digital Libraries.- Digital Literacy.- Digitization.- Discovery Analytics.- Diversity.- Drones.- Drug Enforcement Administration.- e-commerce.- Economics.- Education.- Education and Training.- Electronic Health Records (EHR).- Energy.- Entertainment.- Environment.- Epidemeology.- European Commission.- European Commission: Directorate-General for Justice (Data Protection Division).- European Union.- European Union Data Protection Supervisor.- Evidence-Based Medicine.- Facebook.- Facial Recognition Technologies.- Federal Bureau of Investigation (FBI).- Financial Data and Trend Prediction.- Financial Services.- Fourth Amendment.- France.- Future of Privacy.- Gender and Sexuality.- Genealogy.- Geography.- Germany.- Google.- Google Analytics.- Google Flu.- Governance.- Health Care Delivery.- Health Informatics.- HIPAA.- Human Resources Management.- Humanities (Digital Humanities).- Industrial and Commercial Bank of China.- Information Commissioner, United Kingdom.- Information Society.- Interactive Data Visualization.- International Development.- International Labor Organization.- International Nongovernmental Organizations (INGOs).- Internet.- Internet Association, The.- Internet of Things.- Italy.- Journalism.- Keystroke Capture.- Knowledge Management.- LexisNexis.- Link Prediction.- Link/Graph Mining.- LinkedIn.- Marketing/Advertising.- Mathematics.- Media.- Medicaid.- Metadata.- Military Operations, Counter-Intelligence.- Military Operations, Counter-Terrorism.- Mobile Analytics.- National Association for the Advancement of Colored People.- National Geospatial-Intelligence Agency .- National Oceanic and Atmospheric Administration.- National Organization for Women.- National Security Administration (NSA).- Netflix.- Netherlands.- Network Advertising Initiative.- Network Analytics.- Neural Networks.- Neuroscience.- NoSQL (Not Structured Query Language).- Nutrition.- Online Advertising.- Online Identity.- Ontologies.- Open Data.- Open Society Foundations.- Open-Source Software.- Organiztion of American States.- Participatory Health.- Patient Records.- Patient-Centered (Personalized) Health.- PatientsLikeMe.- Pharmaceutical Industry.- Physics.- Policy Analysis.- Political Science.- Pollution, Air.- Pollution, Land.- Pollution, Water.- Predictive Analytics.- Prevention.- Privacy.- Psychology.- Regression.- Religion.- Risk Analysis.- Robinson & Yu LLC.- R-Programming.- SalesForce.- Scientometrics.- Semantic Web.- Semantic/Content Analysis/Natural Language Process.- Semi-Structured Data.- Sentiment Analysis.- Smart Cities.- Social Media.- Social Network Analysis (SNA).- Social Sciences.- Sociology.- South Korea.- Spain.- Spatial Data.- Storage.- Supercomputing, Exascale Computing, High Performance Computing.- Supreme Court.- Tableau Software.- Telemedicine.- Text Analytics.- Transparency.- Treatment.- United Nations Educational, Scientific and Cultural Organization (UNESCO).- Visualization.- Volunteered Geographic Information (VGI).- White House Big Data Initiative.- White House Brain Initiative.- Wikileaks.- Wikipedia.- Workforce.- World Bank.- Zappos.- Zillow.

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Book SynopsisThis undergraduate textbook adopts the perspective of organizations - not individuals - and clarifies the impact of social media on their different departments or disciplines, while also exploring how organizations use social media to create business value. To do so, the book pursues a uniquely multi-disciplinary approach, embracing IT, marketing, HR and many other fields. Readers will benefit from a comprehensive selection of current topics, including: tools, tactics and strategies for social media, internal and external communication, viral marketing campaigns, social CRM, employer branding, e-recruiting, search engine optimization, social mining, sentiment analysis, crowdfunding, and legal and ethical issues.Trade Review“This book … is an undergraduate textbook. But I must say that I have reviewed and read other undergraduate textbooks but this one in particular it is really well-written and it is really on the right level. … I want to say that this is a very modern and unique book and it is essential if you work with marketing, social media and corporate management. It will be a good addition to your personal library and for your reading. Enjoy!” (Inspire and Action Blog, inspireandaction.wordpress.com, April, 2017)“This is an easy-to-read book that provides a rich set of both theoretical background and practical examples on the use and impact of the social media on all business functions and departments. The multi-disciplinary perspective of the book is its major differentiator in relation to other textbooks related to social media in management. The book constitutes a very useful reading for researchers-academics, students, professionals and policy makers involved and interested in social media management.” (Marianna Sigala, Information Technology & Tourism, Vol. 17, 2017)“Most chapters end with a self-test for review and a bibliography. Scattered within the chapters are case examples, sometimes questions with potential solutions, and sometimes provocative items to ponder. … There are a plethora of how-to guides to social media management, but this is the first text I know of geared toward nontechnical, undergraduate students in business fields. It is targeted to students in the fields of business and administration … .” (David Bellin, Computing Reviews, April, 2016)Table of ContentsIntroduction.- Definitions, Social Media Types and Tools.- Social media Strategy and Return on Investment.- Online Advertising and Viral Campaigns.- Social Customer Relationship Management.- Search Engine Optimization.- Sentiment Analysis and Opinion Mining (Business Intelligence).- Social Network Data and Predictive Mining (Business Intelligence).- e-Recruitment.- Crowdfunding.- Legal and Ethical Issues in Social Media.- Wrap-up.

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Book SynopsisThis new Edition of Electronic Commerce is a complete update of the leading graduate level/advanced undergraduate level textbook on the subject. Electronic commerce (EC) describes the manner in which transactions take place over electronic networks, mostly the Internet. It is the process of electronically buying and selling goods, services, and information. Certain EC applications, such as buying and selling stocks and airline tickets online, are reaching maturity, some even exceeding non-Internet trades. However, EC is not just about buying and selling; it also is about electronically communicating, collaborating, and discovering information. It is about e-learning, e-government, social networks, and much more. EC is having an impact on a significant portion of the world, affecting businesses, professions, trade, and of course, people.The most important developments in EC since 2014 are the continuous phenomenal growth of social networks, especially Facebook , LinkedIn and Instagram, and the trend toward conducting EC with mobile devices. Other major developments are the expansion of EC globally, especially in China where you can find the world's largest EC company. Much attention is lately being given to smart commerce and the use of AI-based analytics and big data to enhance the field. Finally, some emerging EC business models are changing industries (e.g., the shared economy models of Uber and Airbnb). The 2018 (9th) edition, brings forth the latest trends in e-commerce, including smart commerce, social commerce, social collaboration, shared economy, innovations, and mobility.Table of Contents

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Book SynopsisThis essential metaheuristics tutorial provides descriptions and practical applications in the area of business analytics. It addresses key problems in predictive and prescriptive analysis, while also illustrating how problems that arise in business analytics can be modelled and how metaheuristics can be used to find high-quality solutions. Readers will be introduced to decision-making problems for which metaheuristics offer the most effective solution technique. The book not only shows business problem modelling on a spreadsheet but also how to design and create a Visual Basic for Applications code.Extra Material can be downloaded at http://extras.springer.com/978-3-319-68117-7.Table of ContentsIntroduction to Spreadsheet Modelling and Metaheuristics.- General Concepts in Metaheuristic Search.- Greedy Randomized Adaptive Search Procedures.- Tabu Search.- Black-box Solvers.

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Book SynopsisThis book is comprised of the presentations delivered at the 25th ICSA Applied Statistics Symposium held at the Hyatt Regency Atlanta, on June 12-15, 2016. This symposium attracted more than 700 statisticians and data scientists working in academia, government, and industry from all over the world. The theme of this conference was the “Challenge of Big Data and Applications of Statistics,” in recognition of the advent of big data era, and the symposium offered opportunities for learning, receiving inspirations from old research ideas and for developing new ones, and for promoting further research collaborations in the data sciences. The invited contributions addressed rich topics closely related to big data analysis in the data sciences, reflecting recent advances and major challenges in statistics, business statistics, and biostatistics. Subsequently, the six editors selected 19 high-quality presentations and invited the speakers to prepare full chapters for this book, which showcases new methods in statistics and data sciences, emerging theories, and case applications from statistics, data science and interdisciplinary fields. The topics covered in the book are timely and have great impact on data sciences, identifying important directions for future research, promoting advanced statistical methods in big data science, and facilitating future collaborations across disciplines and between theory and practice.Table of Contents*Under attachments tab*

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Book SynopsisDieses Lehrbuch enthält in kompakter, übersichtlicher Form die wichtigsten finanzmathematischen Fragestellungen und die dazu passenden Prozeduren von MATLAB (Erklärung der Ein- und Ausgabegrößen, mathematische Darstellung des entsprechenden finanztechnischen Vorgangs, Parameterwahlmöglichkeiten). Damit werden sowohl die numerische als auch die grafische Realisierung von Aufgaben- und Problemstellungen der Finanzmathematik in effektiver Weise ermöglicht. Table of ContentsEinführung in MATLAB - Datumfunktionen - Abschreibungen - Analyse von Cash Flows - Rentenrechnung - Tilgungsrechnung - Analyse festverzinslicher Wertpapiere (Anleihen / Bonds) - Portfolio-Optimierung - Analyse von Finanzderivaten (Optionen) - Finanz-Zeitreihen (Volatilitätsanalyse) - Verzeichnis der MATLAB-Prozeduren

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Book Synopsis6 mathematische Lösungsmethoden bei der Untersuchung der ihn interessieren­ den Fragen helfen können. Dieses Anliegen wird im Buch dadurch realisiert, daß die behandelten mathematischen Themen an vielen Anwendungsbeispie­ len illustriert werden und daß großer Wert auf die Interpretation der erzielten Ergebnisse gelegt wird. Die Darlegungen des Buches berücksichtigen natürlich, daß ein Student im l. Semester noch kein fertig ausgebildeter Wirtschaftswissenschaftler ist. Deshalb werden sehr spezielle Fachtermini vermieden. Zur Anregung der selbständi­ gen Beschäftigung mit dem behandelten Stoff werden dafür eine große Zahl an Übungsaufgaben gestellt, von denen in der Regel auch die Lösungen im Anhang zu finden sind. Schließlich ist die Vielzahl im Buch enthaltener Abbildungen dazu gedacht, das Vorstellungsvermögen anzuregen und zu verbessern. Das vorliegende Lehrbuch vereint gewissermaßen drei Bücher in einem: einen Vorkurs zum Erwerb oder zur Festigung von Abiturkenntnissen, den ei­ gentlichen Grundkurs Mathematik für Wirtschaftswissenschaftler, der die Ge­ biete Lineare Algebra, Lineare Optimierung und Analysis mehrerer Veränder­ licher umfaßt, sowie eine relativ umfangreiche Einführung in die Finanzma­ thematik. Nicht unerwähnt sollte bleiben, daß das Buch so angelegt ist, daß es sich auch vorzüglich zum Selbststudium eignet. Erfreulicherweise stieß die erste Ausgabe auf eine rege Nachfrage, so daß be­ reits nach relativ kurzer Zeit eine neue Auflage notwendig wurde. Wesentliche inhaltliche Änderungen erschienen uns dabei nicht erforderlich, jedoch haben wir das gesamte Buch einer nochmaligen kritischen Durchsicht unterzogen und einige Schreibfehler korrigiert.Table of Contents1 Grundlagen.- 1.1 Instrumente der Elementarmathematik.- 1.1.1 Zahlbereiche. Zahlendarstellung.- 1.1.2 Rechnen mit Zahlen.- 1.1.3 Bruchrechnung.- 1.1.4 Potenzrechnung.- 1.1.5 Binomische Formeln. Partialdivision.- 1.1.6 Wurzelrechnung.- 1.1.7 Logarithmenrechnung.- 1.1.8 Rechenregeln und Auflösung von Gleichungen.- 1.1.9 Koordinatensysteme.- 1.1.10 Winkelbeziehungen.- 1.1.11 Komplexe Zahlen.- 1.2 Darstellung von Funktionen einer Variablen.- 1.2.1 Formen der Darstellung.- 1.2.2 Operationen mit Funktionen.- 1.2.3 Wichtige spezielle Funktionen.- 1.3 Ergänzende Fragen.- 1.3.1 Intervalle.- 1.3.2 Auflösung von Ungleichungen.- 1.3.3 Absolute Beträge.- 1.4 Analytische Geometrie.- 1.4.1 Geradengleichungen in der Ebene.- 1.4.2 Geraden und Ebenen im Raum.- 1.4.3 Graphische Darstellung von Ungleichungssystemen.- 1.5 Zahlenfolgen und Zahlenreihen.- 1.5.1 Grundbegriffe.- 1.5.2 Arithmetische Folgen und Reihen.- 1.5.3 Geometrische Folgen und Reihen.- 2 Logik und Mengenlehre.- 2.1 Aussagenlogik.- 2.1.1 Aussagen.- 2.1.2 Aussagenverbindungen.- 2.1.3 Quantoren.- 2.1.4 Einfache Schlußweisen.- 2.2 Mengenlehre.- 2.2.1 Grundbegriffe.- 2.2.2 Mengenrelationen.- 2.2.3 Mengenoperationen.- 2.2.4 Abbildungen und Punktionen.- 3 Finanzmathematik.- 3.1 Zins- und Zinseszinsrechnung.- 3.1.1 Einfache Verzinsung.- 3.1.2 Zinseszinsrechnung.- 3.1.3 Grundaufgaben der Zinseszinsrechnung.- 3.1.4 Kapitalwertmethode.- 3.1.5 Gemischte Verzinsung.- 3.1.6 Unterjährige Verzinsung.- 3.2 Rentenrechnung.- 3.2.1 Grundbegriffe der Rentenrechnung.- 3.2.2 Vorschüssige Renten.- 3.2.3 Nachschüssige Renten.- 3.2.4 Grundaufgaben der Rentenrechnung.- 3.2.5 Ewige Rente.- 3.3 Tilgungsrechnung.- 3.3.1 Grundbegriffe. Formen der Tilgung.- 3.3.2 Ratentilgung.- 3.3.3 Annuitätentilgung.- 3.3.4 Tilgungspläne.- 3.4 Renditerechnung.- 4 Lineare Algebra.- 4.1 Matrizen. Vektoren. Vektorräume.- 4.1.1 Begriff der Matrix.- 4.1.2 Spezielle Matrizen.- 4.1.3 Matrizenrelationen.- 4.1.4 Operationen mit Matrizen.- 4.2 Matrizenmultiplikation.- 4.2.1 Skalarprodukt.- 4.2.2 Produkt von Matrizen.- 4.2.3 Eigenschaften der Matrizenmultiplikation.- 4.2.4 Anwendungen der Matrizenmultiplikation.- 4.3 Lineare Gleichungssysteme (LGS).- 4.3.1 Begriff des linearen Gleichungssystems.- 4.3.2 Darstellungsformen von LGS.- 4.3.3 Begriff der Lösung eines LGS.- 4.3.4 Lineare Gleichungssysteme mit Einheitsmatrix.- 4.3.5 Elementare Umformungen eines LGS.- 4.4 Gaußscher Algorithmus.- 4.4.1 Anwendung elementarer Umformungen.- 4.4.2 Ablaufplan des Gaußschen Algorithmus.- 4.4.3 Lösungsdarstellung.- 4.4.4 Numerische Aspekte.- 4.4.5 Zusammenfassende Bemerkungen.- 4.5 Lineare Unabhängigkeit.- 4.5.1 Linearkombination.- 4.5.2 Begriff der linearen Unabhängigkeit.- 4.5.3 Basis und Rang.- 4.5.4 Zur Lösungsstruktur linearer Gleichungssysteme.- 4.6 Matrizeninversion.- 4.6.1 Definition der inversen Matrix.- 4.6.2 Anwendungen der Matrizeninversion.- 4.7 Determinanten.- 4.7.1 Definition der Determinante.- 4.7.2 Eigenschaften von Determinanten.- 4.7.3 Anwendungen der Determinantenrechnung.- 4.7.4 Definitheit von Matrizen.- 4.7.5 Zusammenfassende Bemerkungen.- 5 Lineare Optimierung.- 5.1 Gegenstand der Linearen Optimierung.- 5.1.1 Betrachtung einer Modellsituation.- 5.1.2 Bestandteile einer LOA. Lösungsbegriff.- 5.2 Modellierung und graphische Lösung von LOA.- 5.2.1 Modellierung typischer Problemstellungen.- 5.2.2 Graphische Lösung von LOA.- 5.3 Theorie der Linearen Optimierung.- 5.3.1 Überführung in die Gleichungsform.- 5.3.2 Basislösungen und Eckpunkte.- 5.3.3 Eigenschaften von LOA.- 5.4 Simplexmethode für Optimierungsaufgaben in Gleichungsform.- 5.4.1 Grundidee.- 5.4.2 Auswahl der aufzunehmenden Basisvariablen.- 5.4.3 Auswahl der auszuschließenden Basisvariablen.- 5.4.4 Ablaufplan des Simplexalgorithmus.- 5.4.5 Beispiele. Rechenkontrollen.- 5.4.6 Sonderfälle.- 5.5 Zwei-Phasen-Methode.- 5.5.1 Grundidee.- 5.5.2 Mögliche Fälle.- 5.5.3 Beispiele.- 5.6 Dualität in der Linearen Optimierung.- 5.6.1 Konstruktion der dualen Aufgabe.- 5.6.2 Dualitätsbeziehungen.- 5.6.3 Ökonomische Interpretation der Dualvariablen.- 6 Differentialrechnung für Funktionen einer Variablen.- 6.1 Grenzwert und Stetigkeit.- 6.1.1 Grenzwerte von Zahlenfolgen.- 6.1.2 Grenzwert und Stetigkeit von Funktionen.- 6.1.3 Stetigkeit.- 6.1.4 Eigenschaften stetiger Funktionen.- 6.2 Differenzen- und Differentialquotient.- 6.2.1 Der Begriff des Differentialquotienten.- 6.2.2 Differential.- 6.2.3 Differentiationsregeln. Höhere Ableitungen.- 6.3 Charakterisierung von Funktionen mittels Ableitungen.- 6.3.1 Monotonie und Beschränktheit.- 6.3.2 Extremwerte.- 6.3.3 Wendepunkte. Krümmungsverhalten.- 6.3.4 Kurvendiskussion.- 6.3.5 Beispiele zur Kurvendiskussion.- 6.3.6 Anwendungen in der Marginalanalyse.- 6.4 Numerische Methoden der Nullstellenberechnung.- 6.4.1 Intervallhalbierung.- 6.4.2 Sekantenverfahren. Regula falsi.- 6.4.3 Newtonverfahren.- 7 Funktionen mehrerer Veränderlicher.- 7.1 Begriff und Beispiele.- 7.1.1 Funktionsbegriff.- 7.1.2 Beispiele für Funktionen mehrerer Veränderlicher.- 7.2 Grenzwert und Stetigkeit.- 7.3 Differentiation von Funktionen mehrerer Veränderlicher.- 7.3.1 Begriff der Differenzierbarkeit.- 7.3.2 Partielle Ableitungen und Elastizitäten.- 7.3.3 Gradient einer Funktion. Verschiedene Interpretationen.- 7.3.4 Partielle Ableitungen höherer Ordnung. Hessian.- 7.3.5 Vollständiges Differential.- 7.3.6 Implizite Funktionen.- 8 Extremwerte von Funktionen mehrerer Veränderlicher.- 8.1 Extremwerte ohne Nebenbedingungen.- 8.1.1 Notwendige und hinreichende Extremwertbedingungen.- 8.1.2 Beispiele.- 8.2 Extremwerte unter Nebenbedingungen.- 8.2.1 Allgemeine Aufgabenformulierung.- 8.2.2 Die Eliminationsmethode.- 8.2.3 Lagrange-Methode.- 8.2.4 Interpretation der Lagrangeschen Multiplikatoren.- 8.3 Methode der kleinsten Quadrate.- 8.3.1 Problemstellung. Lineare Regression.- 8.3.2 Allgemeinere Ansatzfunktionen.- 9 Integralrechnung.- 9.1 Das unbestimmte Integral.- 9.1.1 Integration von Funktionen einer Veränderlichen.- 9.1.2 Integrationsregeln.- 9.2 Das bestimmte Integral.- 9.2.1 Integralbegriff für Funktionen einer Variablen.- 9.2.2 Integrierbarkeit. Eigenschaften bestimmter Integrale.- 9.2.3 Numerische Integration.- 9.2.4 Uneigentliche Integrale.- 9.2.5 Doppelintegral.- 9.3 Anwendungen der Integralrechnung.- A Lösungen zu den Aufgaben.- B Klausurbeispiel.

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Book SynopsisC. Amting Directorate General Information Society, European Commission, Brussels th Under the 4 Framework of European Research, the European Systems and Soft­ ware Initiative (ESSI) was part ofthe ESPRIT Programme. This initiative funded more than 470 projects in the area ofsoftware and system process improvements. The majority of these projects were process improvement experiments carrying out and taking up new development processes, methods and technology within the software development process ofa company. In addition, nodes (centres ofexper­ tise), European networks (organisations managing local activities), training and dissemination actions complemented the process improvementexperiments. ESSI aimed at improving the software development capabilities of European enterprises. It focused on best practice and helped European companies to develop world class skills and associated technologies to build the increasingly complex and varied systems needed to compete in the marketplace. The dissemination activities were designed to build a forum, at European level, to exchange information and knowledge gained within process improvement ex­ periments. Their major objective was to spread the message and the results of experiments to awider audience, through a variety ofdifferent channels. The European Experience Exchange ~UR~X) project has been one ofthese dis­ semination activities within the European Systems and Software Initiative.~UR~)( has collected the results of practitioner reports from numerous workshops in Europe and presents, in this series of books, the results of Best Practice achieve­ ments in European Companies over the last few years.Table of ContentsI SPI, ESSI, EUREX.- 1 Software Process Improvement.- 1.1 Introduction.- 1.2 Objectives—Scope of the Initiative.- 1.3 Strategy.- 1.4 Target Audience.- 1.5 Dimensions of Software Best Practice.- 1.6 European Dimension.- 1.7 Types of Projects.- 1.7.1 Stand Alone Assessments.- 1.7.2 Process Improvement Experiments (PIEs).- 1.7.3 Application Experiments.- 1.7.4 Dissemination Actions.- 1.7.5 Experience/User Networks.- 1.7.6 Training Actions.- 1.7.7 ESSI PIE Nodes (ESPINODEs).- 1.7.8 Software Best Practice Networks (ESBNETs).- 2 The EUREX Project.- 2.1 Target Audience and Motivation.- 2.2 Objectives and Approach.- 2.3 Partners.- 2.4 Related Dissemination and Training Actions.- 2.4.1 Software Improvement Case Studies Initiative (SISSI).- 2.4.2 ESPITI.- 3 The EUREX Taxonomy.- 3.1 Analysis and Assessment of PIEs.- 3.2 Classification into Problem Domains.- 3.2.1 First Regional Classification.- 3.2.2 Result of First Regional Classification.- 3.2.3 Consolidation and Iteration.- 3.2.4 Update of Regional Classification.- 3.2.5 Mapping of Attributes.- 3.2.6 Review of Classification and Mapping into Subject Domains.- 3.2.7 Subject Domains Chosen.- 3.2.8 Unclassified PIEs.- 3.3 Testing, Verification, and Quality Management.- II Testing, Verification, and Quality Management.- 4 Perspectives.- 4.1 Introduction to the Subject Domain.- 4.2 Software Verification & Validation Introduced.- 4.2.1 Verification & Validation with Respect to the Product Development Process.- 4.2.2 The Main Weaknesses of the Testing Process.- 4.2.3 An Improved Process Model.- 4.2.4 How to Improve: the Road to Process Improvement.- 4.2.5 Cost/Benefit Analysis.- 4.3 Testware.- 4.3.1 A Testing Definition.- 4.3.2 Customer Needs.- 4.3.3 Types of Testing.- 4.3.4 Debugging.- 4.3.5 Other Techniques.- 4.3.6 Tools.- 4.3.7 Testware.- 4.3.8 Benefits and Limits.- 4.3.9 References.- 4.4 Classic Testing Mistakes.- 4.4.1 Theme One: The Role of Testing.- 4.4.2 Theme Two: Planning the Testing Effort.- 4.4.3 Theme Three: Personnel Issues.- 4.4.4 Theme Four: The Tester at Work.- 4.4.5 Theme Five: Technology Run Rampant.- 4.4.6 Acknowledgements.- 4.4.7 References.- 5 Resources for Practitioners.- 5.1 Methods and Tools.- 5.2 Books.- 5.2.1 Introductory Reference Books on Software Quality.- 5.2.2 Classics on Testing.- 5.2.3 Key Books on Testing.- 5.2.4 Key Books on Inspections.- 5.3 Organisations.- 5.4 Important Conferences.- 5.5 Web Sites.- 6 Experience Reports.- 6.1 PI3 Project Summary.- 6.1.1 Participants.- 6.1.2 Business Motivation and Objectives.- 6.1.3 The Experiment.- 6.1.4 Impact and Experience.- 6.1.5 References.- 6.2 PROVE Project Summary.- 6.2.1 Participants.- 6.2.2 Business Motivation and Objectives.- 6.2.3 The Experiment.- 6.2.4 Impact and Experience.- 6.3 TRUST Project Summary.- 6.3.1 Participants.- 6.3.2 Business Motivation and Objectives.- 6.3.3 The Experiment.- 6.3.4 Impact and Experience.- 6.4 FCI-STDE Project Summary.- 6.4.1 Participants.- 6.4.2 Business Motivation and Objectives.- 6.4.3 The Experiment.- 6.4.4 Impact and Experience.- 6.5 TESTLIB Project Summary.- 6.5.1 Participants.- 6.5.2 Business Motivation and Objectives.- 6.5.3 The Experiment.- 6.5.4 Impact and Experience.- 6.6 ATECON Project Summary.- 6.6.1 Participants.- 6.6.2 Business Motivation and Objectives.- 6.6.3 The Experiment.- 6.6.4 Impact and Experience.- 6.7 GUI-Test Project Summary.- 6.7.1 Participants.- 6.7.2 Business Motivation and Objectives.- 6.7.3 The Experiment.- 6.7.4 Impact and Experience.- 7 Lessons from the EUREX Workshops.- 7.1 Second Italian Workshop.- 7.1.1 Introduction.- 7.1.2 The Workshop Experts.- 7.1.3 Testing Web-based Applications.- 7.1.4 Workshop Conclusions.- 7.1.5 Workshop Discussions.- 7.2 Third Spanish Workshop.- 7.2.1 Introduction.- 7.2.2 Expert Presentation.- 7.2.3 Workshop Discussion and Conclusions.- 7.3 Pilot German Workshop.- 7.3.1 Introduction.- 7.3.2 Expert Presentation.- 7.3.3 Workshop Discussion and Conclusions.- 7.4 Lessons Learned from the Workshops.- 7.4.1 People Issues.- 7.4.2 Business Issues.- 7.4.3 Technical Issues.- 7.4.4 Final Conclusions.- 8 Significant Results.- 8.1 Barriers Preventing Change of Practices.- 8.1.1 Ignorance of the Software Product Quality Methods.- 8.1.2 Uncertainty about the Return on Investment and Fear of Raising Development Costs to an Unacceptable Level.- 8.1.3 Still Not Enough Pressure on Software Producers to Increase Quality Standards.- 8.2 Best Practices Recommended by Experts.- 8.2.1 Investing in the Acquisition of New Skills.- 8.2.2 Formalising the Verification Process and Integrating it with the Development Process.- 8.2.3 Investing Carefully but Inevitably in Automation.- 8.2.4 Measuring Results and Return on Investment.- 8.3 Revisiting the Classic Testing Mistakes.- 8.3.1 Mistakes in the Role of Testing.- 8.3.2 Mistakes in Planning the Complete Testing Effort.- 8.3.3 Mistakes in Personnel Issues.- 8.3.4 Mistakes in the Tester-at-Work.- 8.3.5 Mistakes in Test Automation.- 8.3.6 Mistakes in Code Coverage.- 8.4 The EUREX Process.- III Process Improvement Experiments.- 9 Table of PIEs.- 10 Summaries of PIE Reports.- 10.1 ACIQIM 21757.- 10.2 AERIDS 10965.- 10.3 ALCAST 10146.- 10.4 AMIGO 21222.- 10.5 ARETES 24148.- 10.6 ASTEP 23860.- 10.7 ASTERIX 23951.- 10.8 ATECON 10464.- 10.9 ATM 21823.- 10.10 ATOS 21530.- 10.11 AUTOMA 10564.- 10.12 AUTOQUAL 24143.- 10.13 AVAL 21362.- 10.14 AVE 21682.- 10.15 BEPTAM 21284.- 10.16 CALM 21826.- 10.17 CITRATE 23671.- 10.18 CLEANAP 21465.- 10.19 CLISERT 24206.- 10.20 CONFITEST 24362.- 10.21 DATM-RV 21265.- 10.22 DOCTES 21306.- 10.23 EMINTP 21302.- 10.24 ENG-MEAS 21162.- 10.25 EXOTEST 24266.- 10.26 FCI-STDE 24157.- 10.27 FI-TOOLS 21367.- 10.28 GRIPS 23887.- 10.29 GUI-TEST 24306.- 10.30 IDEA 23833.- 10.31 IMPACTS2 24078.- 10.32 INCOME 21733.- 10.33 MAGICIAN 23690.- 10.34 METEOR 21224.- 10.35 MIST 10228.- 10.36 ODP 10788.- 10.37 OMP/CAST 24053.- 10.38 PCFM 23743.- 10.39 PET 10438.- 10.40 PI3 21199.- 10.41 PIE-TEST 24344.- 10.42 PREV-DEV 23705.- 10.43 PROVE 21417.- 10.44 QUALITAS 23834.- 10.45 RESTATE 23978.- 10.46 SDI-WAN 10494.- 10.47 SIMTEST 10824.- 10.48 SMUIT 21612.- 10.49 SPIDER 21394.- 10.50 SPI 23750.- 10.51 SPIRIT 21799.- 10.52 STOMP 24193.- 10.53 STUT-IU 21160.- 10.54 SWAT 23855.- 10.55 TEPRIM 21385.- 10.56 TESTART 23683.- 10.57 TESTING 21170.- 10.58 TESTLIB 21216.- 10.59 TRUST 23754.- 10.60 USST 23843.- 10.61 VERA 23732.- 10.62 VERDEST 21712.- 10.63 VISTA 24153.- 10.64 STAR 27378.

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Book Synopsis"A reader's first impression on leafing through this book is of the large number of graphs and diagrams, used to illustrate shapes of distributions...and to show real data examples in various ways. A closer reading reveals a nice mix of theory and applications, with the copious graphical illustrations alluded to. Such a mixture is of course dear to the heart of the applied probabilist/statistician, and should impress even the most ardent theorists." --MATHEMATICAL REVIEWSTrade ReviewFrom the reviews: JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION "…excellent, comprehensive treatise on the subject of extremal events modeling. The authors have responded well to the demands of extreme value practitioners for such a text. Although it was clearly and admittedly motivated by practical questions of workers in finance, insurance, and reinsurance, [the book] contains the mathematical rigor and generality that will interest the extreme value theoretician…An understanding of modes of convergence, specifically weak convergence, is essential to fully appreciate the text, but the authors’ intuitive writing style makes most of the basic ideas accessible even to the uninitiated…The authors do an excellent job of organizing these topics and also provide a very useful 20-page ‘Reader Guidelines’ section…[the book] makes an excellent contribution to unifying important concepts in extreme value theory and modeling of extremal events. Aside from its obvious use as a reference for practitioners and theoreticians alike, this text may be used to teach a graduate-level course in mathematical finance or a special topics course in stochastic processes with or without a financial emphasis…As the authors point out this may not be the kind of book that you want to tackle form cover to cover initially, but it is my bet you will eventually discover that you have done just that as you repeatedly reference this hefty volume throughout the years." MATHEMATICAL REVIEWS/MATHSCINET DATABASE "A reader's first impression on leafing through this book is of the large number of graphs and diagrams, used to illustrate shapes of distributions, to plot sample paths of various processes and to show real data examples in various ways. A closer reading reveals a nice mix of theory and applications, with the copious graphical illustrations alluded to. Such a mixture is of course dear to the heart of the applied probabilist/statistician, and should impress even the most ardent theorists with the range of applications of the subject. While there are a number of books available which cover most of the topics herein, I know of none which presents such a range of theory and applications of extremal processes in one volume, at a level easily understood by users of the methodology. I highly recommend the book to all who work in the area, or in related areas. (...) The combination of skills and expertise of the three authors of this book is impressive. Their reading covers not only the traditional and classical works in the area but a great deal of the modern development, too. (They give 646 references to books and articles in the literature.) Their book concludes with copious appendices setting out the basic probability theory and some of the regular variation theory required for understanding the rest of the development. In summary, this is a worthwhile book in an extremely important area." SIAM REVIEWS "(...) This book impresses me as being exceptionally well written, scholarly beyond question, more than a little daunting, and likely to become a classic in its field."KWANTITIEWE METHODEN "The book is the first in the area that strikes a proper balance between mathematical rigor and scope (...) and the statistically-oriented applications for the practitioner."EXTREMES "(...) the indispensable starting point for anyone interested in contemporary applications and extensions of classical EVT." MATHEMATICS TODAY "This is an encyclopedic handbook of theory and statistical praxis, of great value to actuaries and statisticians in the fields concerned, which gives an up to date picture of this fast developing field, and at the same time a useful and well motivated text book for those who need a guide for entering the area without getting lost either in pure theory or messy practice."ASTIN BULLETIN "Given the nature of the subject (...) the book is easy to read.(...) The narrative style is marvellous, invariably connecting theoretical concepts to the real world objects they are supposed to describe, (...)." RISKBOOK.COM "There are a number of texts available on Extreme Value Theory (EVT). This is the essential one to read. It is authoritative and extremely well written…A nice feature of Embrechts et al is an opening 20-page ‘reader guideline’ that gives an overview of the material before the start of the main text." Table of ContentsReader Guidelines.- Risk Theory.- Fluctuations of Sums.- Fluctuations of Maxima.- Fluctuations of Upper Order Statistics.- An Approach to Extremes via Point Processes.- Statistical Methods for Extremal Events.- Time Series Analysis for Heavy-Tailed Processes.- Special Topics.

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Book SynopsisIn "Corporate Policy and Governance", Fredmund Malik offers insights into his cybernetic toolkit along with instructions for its use. He argues that businesses and other societal institutions can function "autodynamically" - in much the same fashion that modern technology steers, controls, and regulates itself - by adopting general systems policies. Explaining the way that organizations must be structured so they can organize themselves, Malik presents his cybernetic general management system for the age of complexity in this compelling book that every corporate executive should read.Trade Review"Fredmund Malik has become the leading analyst of, and expert on, management in Europe.... He is a commanding figure - in theory as well as in the practice of management." (Peter F. Drucker)"

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Book SynopsisModern Actuarial Risk Theory contains what every actuary needs to know about non-life insurance mathematics. It starts with the standard material like utility theory, individual and collective model and basic ruin theory. Other topics are risk measures and premium principles, bonus-malus systems, ordering of risks and credibility theory. It also contains some chapters about Generalized Linear Models, applied to rating and IBNR problems. As to the level of the mathematics, the book would fit in a bachelors or masters program in quantitative economics or mathematical statistics. This second and much expanded edition emphasizes the implementation of these techniques through the use of R. This free but incredibly powerful software is rapidly developing into the de facto standard for statistical computation, not just in academic circles but also in practice. With R, one can do simulations, find maximum likelihood estimators, compute distributions by inverting transforms, and much more.Trade ReviewFrom the reviews of the second edition:"The book gives a comprehensive survey of non-life insurance mathematics. … Originally written for use with the actuarial science programs at the Universities of Amsterdam and Leuven, it is now in use at many other universities as well as for the non-academic actuarial education program organized by the Dutch Actuarial Society. The methods presented can not only be used in non-life insurance, but also in other branches of actuarial science, as well as in actuarial practice." (Pavel Stoynov, Zentralblatt MATH, Vol. 1148, 2008)“This book gives an introduction to non-life insurance mathematics. … Throughout the book, the software R is used for the implementation of the techniques presented. One finds also many exercises with hints for their solution in an appendix.” (F. Hofbauer, Monatshefte für Mathematik, Vol. 161 (1), August, 2010)Table of ContentsUtility theory and insurance.- The individual risk model.- Collective risk models.- Ruin theory.- Premium principles and risk measures.- Bonus-malus systems.- Ordering of risks.- Credibility theory.- Generalized linear models.- IBNR techniques.- More on GLMs.- The 'R' in Modern ART.- Hints for the exercises.- Notes and references.

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Book SynopsisSoftware product line engineering has proven to be the methodology for developing a diversity of software products and software intensive systems at lower costs, in shorter time, and with higher quality. In this book, Pohl and his co-authors present a framework for software product line engineering which they have developed based on their academic as well as industrial experience gained in projects over the last eight years. They do not only detail the technical aspect of the development, but also an integrated view of the business, organisation and process aspects are given. In addition, they explicitly point out the key differences of software product line engineering compared to traditional single software system development, as the need for two distinct development processes for domain and application engineering respectively, or the need to define and manage variability. Table of ContentsPart I Introduction Introduction to Software Product Line Engineering. - A Framework for Software Product Line Engineering. - Overview on the Example Domain: Home Automation Part II Variability Principles of Variability. - Documenting Variability in Requirements. - Documenting Variability in Design. - Documenting Variability in Realisation Part III Domain Engineering Product Management. - Domain Requirements Engineering. - Domain Design. - Domain Realisation. - Domain Testing. - Using COTS Components as Domain Artefacts Part IV Application Engineering Application Requirements Engineering. - Application Design. - Application Realisation. - Application Testing Part V Organisation Aspects Organisation. - Transition Process Part VI Experiences Experiences with Software Product Lines Appendix

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Book SynopsisFor over a decade, software process improvement (SPI) has been promoted as an approach to improve systematically the way software is developed and managed. Mostly this research and the relevant experience reports have focused on large software companies. This book collects the main results from four Norwegian industrial research and development projects on SPI carried out between 1996 and 2005. It concentrates on small and medium-sized companies, typically characterized by fast-changing environments.Trade ReviewFrom the reviews: "The continuous improvement of software processes has been a managerial focus for several decades. This book, written by Norwegian academics, ‘mainly targets researchers and graduate students in empirical software engineering.’ … The papers are varied and well written … . Academics in both information technology and software engineering will find a basis for further research projects in this title." (David Bellin, Computing Reviews, December, 2006)Table of ContentsSoftware Process Improvement – General Principles and Methods.- Lessons Learned and Recommendations from Two Large Norwegian SPI Programmes.- Improvisation in Small Software Organizations.- An Empirical Investigation of the Key Factors for Success in Software Process Improvement.- Evidence-Based Software Engineering for Practitioners.- Challenges and Recommendations when Increasing the Realism of Controlled Software Engineering Experiments.- Knowledge Management for SPI.- Postmortem Reviews: Purpose and Approaches in Software Engineering.- Value-Based Knowledge Management – the Contribution of Postmortem Reviews and Process Workshops.- A Dynamic Model of Software Engineering Knowledge Creation.- An Empirical Study of an Informal Knowledge Repository in a Medium-Sized Software Consulting Company.- An Empirical Study on the Utility of Formal Routines to Transfer Knowledge and Experience.- Process Modelling and Electronic Process Guides.- Tailoring RUP to a Defined Project Type: A Case Study.- A Workshop-Oriented Approach for Defining Electronic Process Guides – A Case Study.- Empirical Investigation on Factors Affecting Software Developer Acceptance and Utilization of Electronic Process Guides.- Six Theses on Software Process Research.- Estimation Methods.- A Review of Studies on Expert Estimation of Software Development Effort.- Reuse of Software Development Experiences – A Case Study.- Effort Estimation of Use Cases for Incremental Large-Scale Software Development.- Empirical Studies in OO and Component-based Systems.- Experiences from Introducing UML-based Development in a Large Safety-Critical Project.- An Empirical Study on Off-the-Shelf Component Usage in Industrial Projects.- Evaluating the Effect of a Delegated versus Centralized Control Style on the Maintainability of Object-Oriented Software.

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Book SynopsisAs a software architect you work in a wide-ranging and dynamic environment. You have to understand the needs of your customer, design architectures that satisfy both functional and non-functional requirements, and lead development teams in implementing the architecture. And it is an environment that is constantly changing: trends such as cloud computing, service orientation, and model-driven procedures open up new architectural possibilities. This book will help you to develop a holistic architectural awareness and knowledge base that extends beyond concrete methods, techniques, and technologies. It will also help you to acquire or expand the technical, methodological, and social competences that you need. The authors place the spotlight on you, the architect, and offer you long-term architectural orientation. They give you numerous guidelines, checklists, and best practices to support you in your practical work. "Software Architecture" offers IT students, software developers, and software architects a holistic and consistent orientation across relevant topics. The book also provides valuable information and suggestions for system architects and enterprise architects, since many of the topics presented are also relevant for their work. Furthermore, IT project leads and other IT managers can use the book to acquire an enhanced understanding of architecture. Further information is available at www.software-architecture-book.org.Trade Review"Among the numerous books on the theory and practice of software architecture, we are extremely fortunate to have one that takes a broader perspective on this complex topic, covering not only the requisite technical tricks of the trade, but also the additional challenges arising from the social, business, and cultural contexts that must be fully accounted for in the design process. For seasoned professionals this text will serve as a very handy reference, while, for aspiring architects, it will uncover and explain (perhaps for the first time) the full set of skills required to do the job." - Bran Selic, Malina Software Corp., Ottawa, ON, Canada“I am really looking forward to the latest edition of this book. I can highly recommend it for anyone who needs to deal with the topic of software architecture. It provides a comprehensive starting point for conscious architectural thinking.” - Karin Dürmeyer, IBM Distinguished Engineer, IBM IOT Northeast IT Architect Profession Leader "The book provides an excellent, structured, and fundamental but equally comprehensive orientation in the complex topic of software architecture. I like the fact that instead of looking at specific technologies, it focuses more on concepts and explicitly considers the people and social aspects." - Bernd Oestereich (oose)Table of ContentsIntroduction.- Architecture Orientation Framework.- Architectures and Architecture Disciplines (WHAT).- Architecture Perspectives (WHERE).- Architecture Requirements (WHY).- Architecture Means (WITH WHAT).- Architecture Means (WITH WHAT).- Architecture Method (HOW).-

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Book SynopsisThe present volume aims to provide an overview of the current understanding of the so-called Critical Infrastructure (CI), and particularly the Critical Information Infrastructure (CII), which not only forms one of the constituent sectors of the overall CI, but also is unique in providing an element of interconnection between sectors as well as often also intra-sectoral control mechanisms. The 14 papers of this book present a collection of pieces of scientific work in the areas of critical infrastructure protection. In combining elementary concepts and models with policy-related issues on one hand and placing an emphasis on the timely area of control systems, the book aims to highlight some of the key issues facing the research community.Table of ContentsOverview of Critical Information Infrastructure Protection.-The Art of CIIP Strategy: Tacking Stock of Content and Processes.-Infrastructure Sectors and the Information Infrastructure.-Understanding Cyber Threats and Vulnerabilities. Modelling Approaches.-Anomaly Detection in Water Management Systems.-Security Aspects of SCADA and DCS Environments.-SCADA Protocol Vulnerabilities.-Protection of SCADA Communication Channels.-Cyber Vulnerability in Power Systems Operation and Control.-Sector-Specific Information Infrastructure Issues in the Oil, Gas, and Petrochemical Sector.-Telecommunications.-Financial Services Industry.-Transportation.The Art of CIIP Strategy: Tacking Stock of Content and Processes.-Infrastructure Sectors and the Information Infrastructure.-Understanding Cyber Threats and Vulnerabilities. Modelling Approaches.-Anomaly Detection in Water Management Systems.-Security Aspects of SCADA and DCS Environments.-SCADA Protocol Vulnerabilities.-Protection of SCADA Communication Channels.-Cyber Vulnerability in Power Systems Operation and Control.-Sector-Specific Information Infrastructure Issues in the Oil, Gas, and Petrochemical Sector.-Telecommunications.-Financial Services Industry.-Transportation.

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Book SynopsisWhile standardization has empowered the software industry to substantially scale software development and to provide affordable software to a broad market, it often does not address smaller market segments, nor the needs and wishes of individual customers. Software product lines reconcile mass production and standardization with mass customization in software engineering. Ideally, based on a set of reusable parts, a software manufacturer can generate a software product based on the requirements of its customer. The concept of features is central to achieving this level of automation, because features bridge the gap between the requirements the customer has and the functionality a product provides. Thus features are a central concept in all phases of product-line development. The authors take a developer’s viewpoint, focus on the development, maintenance, and implementation of product-line variability, and especially concentrate on automated product derivation based on a user’s feature selection. The book consists of three parts. Part I provides a general introduction to feature-oriented software product lines, describing the product-line approach and introducing the product-line development process with its two elements of domain and application engineering. The pivotal part II covers a wide variety of implementation techniques including design patterns, frameworks, components, feature-oriented programming, and aspect-oriented programming, as well as tool-based approaches including preprocessors, build systems, version-control systems, and virtual separation of concerns. Finally, part III is devoted to advanced topics related to feature-oriented product lines like refactoring, feature interaction, and analysis tools specific to product lines. In addition, an appendix lists various helpful tools for software product-line development, along with a description of how they relate to the topics covered in this book. To tie the book together, the authors use two running examples that are well documented in the product-line literature: data management for embedded systems, and variations of graph data structures. They start every chapter by explicitly stating the respective learning goals and finish it with a set of exercises; additional teaching material is also available online. All these features make the book ideally suited for teaching – both for academic classes and for professionals interested in self-study.Trade Review“The book provides a systematic introduction to feature-oriented software product lines, and leads the reader to more advanced topics in its second half. The authors distill the concepts and principles underlying the field with remarkable clarity, providing a much-needed foundation for the field. They also illustrate these concepts and principles using concrete examples, showcasing languages, tools, and systems from both industrial practice and latest research. (…) There is no better team than these four authors to write about feature-oriented software product lines. The authors have made fundamental scientific and engineering contributions to the field.” from the foreword by Krzysztof Czarnecki, University of Waterloo, CanadaTable of ContentsPart I Software Product Lines.- Software Product Lines.- A Development Process for Feature-Oriented Product Lines.- Part II Variability Implementation.- Basic Concepts, Classification, and Quality Criteria.- Classic, Language-Based Variability Mechanisms.- Classic, Tool-Driven Variability Mechanisms.- Advanced, Language-Based Variability Mechanisms.- Advanced, Tool-Driven Variability Mechanisms.- Part III Advanced Topics.- Refactoring of Software Product Lines.- Feature Interactions.- Analysis of Software Product Lines.- Tool Support.

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Book SynopsisAs a software architect you work in a wide-ranging and dynamic environment. You have to understand the needs of your customer, design architectures that satisfy both functional and non-functional requirements, and lead development teams in implementing the architecture. And it is an environment that is constantly changing: trends such as cloud computing, service orientation, and model-driven procedures open up new architectural possibilities. This book will help you to develop a holistic architectural awareness and knowledge base that extends beyond concrete methods, techniques, and technologies. It will also help you to acquire or expand the technical, methodological, and social competences that you need. The authors place the spotlight on you, the architect, and offer you long-term architectural orientation. They give you numerous guidelines, checklists, and best practices to support you in your practical work. "Software Architecture" offers IT students, software developers, and software architects a holistic and consistent orientation across relevant topics. The book also provides valuable information and suggestions for system architects and enterprise architects, since many of the topics presented are also relevant for their work. Furthermore, IT project leads and other IT managers can use the book to acquire an enhanced understanding of architecture. Further information is available at www.software-architecture-book.org.Trade Review"Among the numerous books on the theory and practice of software architecture, we are extremely fortunate to have one that takes a broader perspective on this complex topic, covering not only the requisite technical tricks of the trade, but also the additional challenges arising from the social, business, and cultural contexts that must be fully accounted for in the design process. For seasoned professionals this text will serve as a very handy reference, while, for aspiring architects, it will uncover and explain (perhaps for the first time) the full set of skills required to do the job." - Bran Selic, Malina Software Corp., Ottawa, ON, Canada“I am really looking forward to the latest edition of this book. I can highly recommend it for anyone who needs to deal with the topic of software architecture. It provides a comprehensive starting point for conscious architectural thinking.” - Karin Dürmeyer, IBM Distinguished Engineer, IBM IOT Northeast IT Architect Profession Leader "The book provides an excellent, structured, and fundamental but equally comprehensive orientation in the complex topic of software architecture. I like the fact that instead of looking at specific technologies, it focuses more on concepts and explicitly considers the people and social aspects." - Bernd Oestereich (oose)Table of ContentsIntroduction.- Architecture Orientation Framework.- Architectures and Architecture Disciplines (WHAT).- Architecture Perspectives (WHERE).- Architecture Requirements (WHY).- Architecture Means (WITH WHAT).- Architecture Means (WITH WHAT).- Architecture Method (HOW).-

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Book Synopsis​Die Behandlungsplanung in der Notaufnahme von Krankenhäusern ist ein hoch dynamischer Prozess, der immer wieder zu langen Wartezeiten führt. Christoph Niemann stellt mit seinem Modell der marktbasierten Verhandlungen ein dezentrales System vor, in dem Softwareagenten den Behandlungsplan koordinieren. Die Planung berücksichtigt die Dringlichkeit der Behandlung und führt zu verkürzter Wartezeit für die einzelnen Patienten. Das System automatisiert einen großen Teil der Planung, so dass von den Leistungserbringern weniger Koordinationstätigkeit erwartet wird.Table of Contents​Multiagentensystem.- Ubiquitous Computing.- Softwareagenten.- Marktbasierte Koordination.- Patientensteuerung in der Notaufnahmen.

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Book SynopsisThough customer orientation is recommended in Business Process Management, current modeling methods still have a strong focus on the company’s processes. To ensure a long-lasting requirement of a firm’s service, one should consider the customer activities in order to offer an added value that effectively addresses his or her needs. Thus, the customers’ perspective and their process chains before, during and after the interaction need to be captured in Business Process Management. Michael Hewing takes a design-oriented research approach to show how the integration of well-grounded marketing methods enables the visualization and analysis of the customer’s point of view in Business Process Management. By enhancing this method, information on usage processes as well as on the value-in-use can be provided for a comprehensive and process-based customer management.Table of ContentsReflections on the Customer’s Perspective in Marketing and Business Process Management.- A comprehensive Literature Review on Customer Processes in Business Process Management.- Development and Evaluation of a customer-oriented Process Modeling Method.

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Book SynopsisDas Buch vermittelt einen grundlegenden und praktischen Einstieg in die Lebensversicherungsmathematik. Es ist einerseits mathematisch stringent und andererseits praktisch anschaulich. Dadurch wird eine intuitive und sichere Einführung in die versicherungsmathematische Analyse von klassischen Lebensversicherungsprodukten ermöglicht. Eine Vielzahl praktischer Beispiele, Abbildungen und Anwendungen macht das Buch anschaulich und interessant.Mit der vorliegenden zweiten Auflage wurden eine gründliche Überarbeitung sowie eine umfangreiche Erweiterung vorgenommen. Insbesondere wurden die einschlägigen Gesetzesnovellen für die versicherungsmathematische Praxis berücksichtigt. Außerdem wurden 90 Aufgaben mit Lösungen in das Buch aufgenommen.Table of ContentsEinleitung.- Elementare Finanzmathematik.- Biometrische Rechnungsgrundlagen.- Beitragsberechnung.- Deckungsrückstellungen.- Ergebnisanalyse.- Rückversicherung.- Lösungen.

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Book SynopsisDie Sozialwissenschaftler Florian G. Hartmann und Daniel Lois erklären in diesem Essential Schritt für Schritt und auf Nachvollziehbarkeit bedacht, wie im Rahmen einer quantitativen Untersuchung Hypothesen überprüft werden. Dabei werden methodische und statistische Grundbegriffe besprochen und komplexere Sachverhalte anhand von alltagsnahen Beispielen erläutert. Die Autoren schöpfen bei den Erklärungen aus ihrer Lehr- und Forschungstätigkeit und berücksichtigen die Erfahrungen ihres eigenen Studiums.Table of ContentsHypothesen: Definition, Ableitung und Formulierung.- Forschungsdesign.- Stichprobenziehung.- Datenerhebung, -aufbereitung und Hypothesentest.

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Book SynopsisDas vorliegende Lehrbuch behandelt die Grundlagen aus dem Bereich der Analysis und linearen Algebra, die für ein Bachelorstudium der Wirtschaftswissenschaften Voraussetzung sind. Die Inhalte und deren Darstellung resultieren aus der langjährigen Erfahrung, die der Autor mit dem entsprechenden Erstsemester-Kurs an der HTW Berlin gemacht hat. Das oberste Ziel ist eine klare, einfache und anwendungsorientierte Darstellung. Das Lehrbuch richtet sich besonders an Studierende, die aus der Schulzeit ein gespaltenes Verhältnis zur Mathematik mitbringen. Dabei eignet sich das Buch für das Selbststudium sowie als Grundlage für den Dozenten.Ausgehend von angewandten Beispielen werden die wichtigsten Konzepte eingeführt und behandelt. Eine Vielzahl von Multiple-Choice- und Rechenaufgaben beenden jedes Unterkapitel. Für einen Großteil der Aufgaben werden am Ende des Buches ausführliche Lösungen bereitgestellt, die eine Erfolgskontrolle beim Lösen der Aufgaben ermöglichen. Abgerundet wird der Text mit einem kurzen Kapitel über die elementaren Rechengesetze, einer Sammlung aller im Buch enthaltenen wichtigen Formeln und Tatsachen und einer Probeklausur.Trade Review“... Es bietet die schriftliche Fassung eines einführenden Mathematik-Kurses für Betriebswirtschaftler. Der tief gegliederte, übersichtliche Aufbau, die zahlreichen Abbildungen und Tabellen sowie der verständliche Text entsprechen den Erwartungen an ein Lehrbuch. Zahlreiche Aufgaben ermöglichen, den Kenntnisstand zu überprüfen. Insgesamt eine nützliche Hilfe, mathematische Fertigkeiten zu erarbeiten und zu testen, auch im Selbststudium, sowie zur Förderung der mentalen Haltung gegenüber der Wirtschaftsmathematik ...” (Controller Magazin, Jg. 43, Heft 4, Juli-August 2018)Table of Contents

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Book SynopsisFrank Termer untersucht das Phänomen der IT-Agilität erstmals aus einer ganzheitlichen Perspektive und berücksichtigt dabei die Bereiche Technik, Personen, Organisation und Prozesse. Zudem wird deutlich gemacht, dass IT-Agilität als Verhaltensweise zu verstehen ist, welche sich nur durch Berücksichtigung einer zeitlichen Dimension erfassen lässt. Ein Kausalmodell zur IT-Agilität, welches auf dem Resource-based View basiert, wird mittels Strukturgleichungsmodellierung empirisch überprüft und die Ergebnisse durch eine Delphi-Studie abgesichert. Es werden konkrete Aussagen zu Determinanten und Wirkbeziehungen gemacht, die das Management der IT-Agilität ermöglichen. Table of ContentsVerhaltenswissenschaftliche Betrachtung von IT-Agilität.- Theoretische Fundierung mittels Resource-based

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Book SynopsisDas Fachbuch zeigt, wie die Zero-Outage-Methode zu mehr Stabilität im Betrieb, mehr Zuverlässigkeit in Projekten und letztlich zu einer größeren Kundenzufriedenheit führt. Es verdeutlicht, weshalb klare Standards bei Plattformen, Prozessen und Personal unverzichtbar sind, um eine hohe ICT-Qualität von Ende zu Ende sicherzustellen und worauf es bei Changes – den häufigsten Ursachen für IT-Ausfälle – ankommt. Zudem erfahren die Leser, wie man Störungen schnellstmöglich behebt und dauerhaft abstellt und warum die Zusammenarbeit von ICT-Anbietern künftig nur mit einem gemeinsamen Qualitätsstandard gelingen kann. So dient dieses Buch als praxisnahe Anleitung, die eigene ICT-Welt noch ausfallsicherer und leistungsfähiger zu machen. Dazu teilen die Autoren ihre wichtigsten Erkenntnisse im Qualitätsmanagement und geben einen exklusiven Einblick in ihr – über viele Jahre erprobtes und kontinuierlich weiterentwickeltes – Erfolgsrezept: den Zero-Outage-Ansatz.Table of ContentsEinleitung – Zero Outage als Maxime in der IT.- Qualität aus unterschiedlichen Blickwinkeln.- ISO, ITIL & Co. – Basis und Orientierung schaffen.- Qualität im Fokus – zwischen Trend und Tagesgeschäft.- Den Kompass nach Norden ausrichten: die vier Eckpfeiler des Quality Management.- Qualität im Betrieb: Zero Outage sorgt für Ausfallsicherheit und Nachhaltigkeit.- Der Zero-Outage-Bebauungsplan: Stein auf Stein zur Qualität.- Qualität in Projekten: durch Standards und Transparenz zum Erfolg.- Gesetzliche Anforderungen als Grußwort von Dr. Ferri AbolhassanHerausforderung.- Größtmögliche Sicherheit gewährleisten.- Partner und Supplier Management: gemeinsam ans Ziel.- Eine Zero-Outage-Kultur initiieren und reifen lassenGrußwort von Dr. Ferri Abolhassan.

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Book SynopsisDas Buch aus der Chefsache-Reihe zeigt auf, welche Bedeutung und Auswirkungen die digitale Transformation auf unser persönliches, gesellschaftliches und berufliches Umfeld hat. Praxisnah lernt der Leser Chancen und Perspektiven kennen, die so offen sind, dass er sie jederzeit für sich adaptieren kann. Es geht um Projekte, Maschinen, Prozesse, Kompetenzen, Führung und vor allem um Menschen. So wird ebenfalls aufgezeigt, wie es bei all der Technologie- und Prozessorientierung gelingt, den Rollen und Bedürfnissen von Führungskräften und Mitarbeitern neu gerecht zu werden. Ihr Reisebegleiter für den digitalen Weg.Trade Review“… nicht nur informierend und orientierend, sondern auch meinungsbildend. ... Der Band vermittelt in einer tief gegliederten Struktur einen breiten Themenüberblick. Ein besonderer Akzent liegt auf Kunden- und Mitarbeiterbelangen. Die Autoren behandeln die Digitalisierung abwägend und vielfach auch hinterfragend.” (Controller Magazin, Jg. 44, Heft 4, Juli – August 2019)“... Das Buch liefert theoretisches Grundlagenwissen, gesellschaftliche Einordnung, Impulse für die Strategieentwicklung und Unternehmensführung sowie praktische Ansätze für die digitale Transformation in der eigenen Firma. ... Reinnarth etwa beschreibt Mega-Trends und erläutert, wie diese die Digitalisierung beeinflussen ...” (Lebensmittel Zeitung, Heft 4, Januar 2019)“… Der besondere Charme des Buches liegt in den Perspektiven der vier Autoren, die aus ihrer praktischen Erfahrung heraus ganz unterschiedliche Aspekte von Digitalisierung und Consumer Centricity beleuchten. ... Gezielte Fragestellungen dienen dem Leser als Anregung, die relevanten Themen im eigenen Unternehmen zu identifizieren und anzugehen …” (Deutsches Business TV, deutsches-business.tv, 30. Juli 2018)“... Die vier Autoren beleuchten aus ihrer praktischen Erfahrung heraus ganz unterschiedliche Aspekte von Digitalisierung und Verbraucher – Zentralität.” (WiM - Wirtschaft in Mittelfranken, Heft 10, 2018)Table of ContentsMegatrends zur Digitalisierung.- Die strategische Ordnung für die digitale Transformation.- Was bedeutet die Digitalisierung für die Unternehmenskultur und für die Menschen, die in ihr zuhause sind?.- Markenführung in digitalen Welten.

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Book Synopsis​Das Buch enthält Fallstudien zur deskriptiven und induktiven Statistik, welche auf die Bachelor-Ausbildung in der Betriebswirtschaft ausgerichtet sind. Für die fachlichen Grundlagen wird auf eine prägnante Liste einschlägiger Werke verwiesen. Ziel der Fallstudien ist es, den gesamten in einer Lehrveranstaltung erlernten Stoff adäquat anzuwenden. Hiermit soll ein fundiertes, nachhaltiges Gesamtverständnis erreicht und die Einübung von Transfers realisiert werden. Den Fallstudien liegen, zum Download vorgehaltene, realistische Datensets in einem Umfang zugrunde, der die Anwendung von Unterstützungssystemen erforderlich macht. Dazu ist die Verwendung von Microsoft Excel vorgesehen. In jeder Fallstudie werden sukzessive Lösungshinweise angeboten, um einen möglichst großen Lerneffekt zu erzielen. Das Lehrbuch richtet sich in erster Linie an Studierende in der Examensvorbereitung und kann auch als Klausurenkurs genutzt werden. Einzelne Fallstudien können aber auch veranstaltungsbegleitend zum Abschluss eines Themenbereiches, wie z. B. der deskriptiven Statistik bearbeitet werden. Table of ContentsEinordnung.- Themengebiete der Fallstudien.- Fallstudie Produktmanagement.- Fallstudie Fernbuslinienunternehmen.- Fallstudie Warendisposition Handelsunternehmen.- Fallstudie Organisationsanalyse Versicherungsdienstleister.- Allgemeine Empfehlungen zur Herangehensweise an Datenstudien.

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