This book constitutes the refereed proceedings of the 8th International Conference on Electronic Government and the Information Systems Perspective, EGOVIS 2019, held in Linz, Austria, in August 2019. The 17 full papers presented were carefully reviewed and selected from 25 submissions. The papers are organized in the following topical sections: open data and open innovation; data-driven approaches in e-government; e-government cases - data and knowledge management; e-government theoretical background; and digitalization and transparency.

This two-volume set LNCS 11588 and 11589 constitutes the refereed proceedings of the 6th International Conference on Business, Government, and Organizations, HCIBGO 2019, held in July 2019 as part of HCI International 2019 in Orlando, FL, USA. HCII 2019 received a total of 5029 submissions, of which 1275 papers and 209 posters were accepted for publication after a careful reviewing process. The 63 papers presented in these two volumes are organized in topical sections named: Electronic, Mobile and Ubiquitous Commerce, eBanking and Digital Money, Consumer Behaviour, Business Information Systems, Dashboards and Visualization, Social Media and Big Data Analytics in B

This book makes an important contribution to the recent evolution in Information and Communication Technologies (ICT) that are human-centred and socially desirable, environmentally sustainable, and ethically acceptable. It introduces the concept of moral, equitable and environmental limits in the ICT domain and proposes a Slow Tech approach to face the challenges of these limits, laying out a set of principles that can be applied in real-life business settings. With the launch of the United Nations Sustainable Development Goals and the growing interest in the circular economy, Slow Tech and ICT - A Responsible, Sustainable and Ethical Approach is a timely tool for forward-thinking businesses.

This book constitutes revised selected papers from the 9th International Workshop on Enterprise Applications, Markets and Services in the Finance Industry, FinanceCom 2018, held in Manchester, UK, in June 2018. The 11 papers presented in this volume were carefully reviewed and selected from 18 submissions. They were organized in topical sections named: financial innovation; market data analytics; and semantic modelling.

This book presents and analyzes the concept of online brand communities, an emerging and exciting topic in marketing and eCommerce. First, it lays out the foundations like the evolution of the Web and the so-called Social Web, its utility for users and businesses, and the evolution of the marketing mind-set to adapt the Social Web. On this basis, the book then presents a detailed analysis of online brand communities, examining the concept of virtual community with a specific focus on virtual brand communities. In this context the book also explores recent trends related to branding and brand management. Next, it proposes a classification system for online brand communities, taking into account questions like the motivating factors for consumers to join, participate and stay in a community. The process of value creation in communities is examined from both business and consumer perspectives. The book draws to a close with a brief presentation of the process broadly accepted for the successful development of online brand communities.

This book constitutes the refereed proceedings of the 5th Conference on AElectronic Governance and Open Society: Challenges in Eurasia, EGOSE 2018, held in St. Petersburg, Russia, in November 2018. The 36 revised full papers were carefully reviewed and selected from 98 submissions. The papers are organized in topical sections on smart city infrastructure, policy; digital privacy, rights,security;data science, machine learning, algorithms, computational linguistics; digital public administration, economy, policy; digital services, values, inclusion; digital democracy, participation, security, communities, social media, activism; social media discourse analysis; digital data, policy modeling; digital government, administration, communication.

This book constitutes the refereed proceedings of the 15th International Conference on Economics of Grids, Clouds, Systems, and Services, GECON 2018, held in Pisa, Italy, in September 2018. The 21 full papers and 9 short papers presented together with 1 invited talk were carefully reviewed and selected from 40 submissions.This GECON 2018 proceedings was structured in three special sessions on selected topics, namely: IT service ecosystems enabled through emerging digital technologies; machine learning, cognitive systems and data science for system management; and blockchain technologies and economics.

This book constitutes revised selected papers from two workshops held at the 18th European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2018, in Dublin, Ireland, in September 2018, namely: MIDAS 2018 - Third Workshop on Mining Data for Financial Applications and PAP 2018 - Second International Workshop on Personal Analytics and Privacy. The 12 papers presented in this volume were carefully reviewed and selected from a total of 17 submissions.

This book integrates the basic theories (GST and Parson's AGIL framework), applying them to the components of social systems, state-run and business firms. China's development experience offers a valuable case study that can provide readers deeper insights into this comparatively young discipline, and into China. Though the discipline of systems engineering and its application to hardware engineering system are well established, social systems engineering is an emerging discipline still being explored. This book may be the first English-language publication on this promising subject.

This book highlights the emerging field of intelligent computing and developing smart systems. It includes chapters discussing the outcome of challenging research related to distributed computing, smart machines and their security related research, and also covers next-generation communication techniques and the networking technologies that have the potential to build the future communication infrastructure. Bringing together computing, communications and other aspects of intelligent and smart computing, it contributes to developing a roadmap for future research on intelligent systems.

This book provides specialists and executives with a clear, yet practical set of recommendations to meet the challenges of digital transformation and ensure long-term success as a leader in a primarily digital business world. The authors describe the fundamental principles of digitization and its economic opportunities and risks, integrating them into a framework of classic and new management methods. The book also explores how increasing digitization - not only of communication, but of complete value chains - has led to a need to establish a digital business leadership. Digitization is changing people and markets: it causes the upheaval of entire industries, creates new digital-centric companies, and forces established companies to cope with the transformation activities associated with these digitization processes. New approaches and methods have to be learned, tried and tested patterns of thinking have to be explored, and last but not least, innovation activities have to be understood as continuous necessities. At the same time, digital business offers considerable opportunities for renewing competitive advantages, improving existing process structures and realigning products, services and business models.

This book discusses digitalization trends and their concrete applications in business and societal contexts. It summarizes new findings from research, teaching and management activities comprising digital transformation, e-business, the representation of knowledge, human-computer interaction and business optimization. The trends discussed include artificial intelligence, virtual reality, robotics, blockchain, and many more. Professors and researchers who conduct research and teach at the interface between academia and business present the latest advances in their field. The book adopts the philosophy of applied sciences and combines both rigorous research and practical applications. As such, it addresses the needs of both professors and researchers, who are constantly seeking inspiration, and of managers seeking to tap the potential of the latest trends to take their business to the next level. Readers will find answers to pressing questions that arise in their daily work.

This book examines how digital technologies enable collaboration as a way for individuals, teams and businesses to connect, create value, and harness new opportunities. Digital technologies have brought the world closer together but also created new barriers and divides. While it is now possible to connect almost instantly and seamlessly across the globe, collaboration comes at a cost; it requires new skills and hidden 'collaboration work', and the need to renegotiate the fair distribution of value in multi-stakeholder network arrangements. Presenting state-of-the-art research, case studies, and leading voices in the field, the book provides academics and professionals with insights into the diverse powers of collaboration in the digital age, spanning collaboration among professionals, organisations, and consumers. It brings together contributions from scholars interested in the collaboration of teams, cooperatives, projects, and new cooperative systems, covering a range of sectors from the sharing economy, health care, large project businesses to public sector collaboration.

Discover the true value of Developer Relations as you learn to build and maintain positive relationships with your developer community. Use the principles laid out in this book to walk through your company goals and discover how you can formulate a plan tailored to your specific needs. First you will understand the value of a technical community: why you need to foster a community and how to do it. Then you will learn how to be involved in community building on a daily basis: finding the right audience, walking the tightrope between representing the company and building a personal brand, in-person events, and more. Featuring interviews with Developer Relations professionals from many successful companies including Red Hat, Google, Chef, Docker, Mozilla, SparkPost, Heroku, Twilio, CoreOS, and more, and with a foreword by Jono Bacon, The Business Value of Developer Relations is the perfect book for anyone who is working in the tech industry and wants to understand where DevRel is now and how to get involved. Don't get left behind - join the community today. What You'll Learn Define community and sell community to your company Find, build, and engage with the community Determine how and when to hire community managers Build your own personal brand Who This Book Is For Any business leaders/owners/stakeholders in the tech industry, tech evangelists, community managers or developer advocates.

This book constitutes revised selected papers from the 16th Workshop on e-Business, WeB 2017, which took place in Seoul, South Korea, in December 2017. The purpose of WeB is to provide an open forum for e-Business researchers and practitioners world-wide, to share topical research findings, explore novel ideas, discuss success stories and lessons learned, map out major challenges, and collectively chart future directions for e-Business. The WeB 2017 theme was "Digital transformation: challenges and opportunities". The 11 papers presented in this volume were carefully reviewed and selected from 43 submissions. These are original research articles with a broad coverage of behavioral issues on consumers, citizens, businesses, industries and governments, ranging from technical to strategic issues.

This book explains how to teach better and presents the latest research on processing educational data and presents traditional statistical techniques as well as probabilistic, interval, and fuzzy approaches. Teaching is a very rewarding activity; it is also a very difficult one - because it is largely an art. There is a lot of advice on teaching available, but it is usually informal and is not easy to follow. To remedy this situation, it is reasonable to use techniques specifically designed to handle such imprecise knowledge: the fuzzy logic techniques. Since there are a large number of statistical studies of different teaching techniques, the authors combined statistical and fuzzy approaches to process the educational data in order to provide insights into improving all the stages of the education process: from forming a curriculum to deciding in which order to present the material to grading the assignments and exams. The authors do not claim to have solved all the problems of education. Instead they show, using numerous examples, that an innovative combination of different uncertainty techniques can improve teaching. The book offers teachers and instructors valuable advice and provides researchers in pedagogical and fuzzy areas with techniques to further advance teaching.

This third volume of the best-selling "Data Model Resource Book" series revolutionizes the data modeling discipline by answering the question "How can you save significant time while improving the quality of any type of data modeling effort?" In contrast to the first two volumes, this new volume focuses on the fundamental, underlying patterns that affect over 50 percent of most data modeling efforts. These patterns can be used to considerably reduce modeling time and cost, to jump-start data modeling efforts, as standards and guidelines to increase data model consistency and quality, and as an objective source against which an enterprise can evaluate data models. Praise for The Data Model Resource Book, Volume 3 "Len and Paul look beneath the superficial issues of data modeling and have produced a work that is a must for every serious designer and manager of an IT project." -Bill Inmon, World-renowned expert, speaker, and author on data warehousing and widely recognized as the "father of data warehousing" "The Data Model Resource Book, Volume 3: Universal Patterns for Data Modeling is a great source for reusable patterns you can use to save a tremendous amount of time, effort, and cost on any data modeling effort. Len Silverston and Paul Agnewhave provided an indispensable reference of very high-quality patterns for the most foundational types of datamodel structures. This book represents a revolutionary leap in moving the data modeling profession forward." -Ron Powell, Cofounder and Editorial Director of the Business Intelligence Network "After we model a Customer, Product, or Order, there is still more about each of these that remains to be captured, such as roles they play, classifications in which they belong, or states in which they change. The Data Model Resource Book, Volume 3: Universal Patterns for Data Modeling clearly illustrates these common structures. Len Silverston and Paul Agnew have created a valuable addition to our field, allowing us to improve the consistency and quality of our models by leveraging the many common structures within this text." -Steve Hoberman, Best-Selling Author of Data Modeling Made Simple "The large national health insurance company I work at has actively used these data patterns and the (Universal Data Models) UDM, ahead of this book, through Len Silverston's UDM Jump Start engagement. The patterns have found their way into the core of our Enterprise Information Model, our data warehouse designs, and progressively into key business function databases. We are getting to reuse the patterns across projects and are reaping benefits in understanding, flexibility, and time-to-market. Thanks so much." -David Chasteen, Enterprise Information Architect "Reusing proven data modeling design patterns means exactly that. Data models become stable, but remain very flexible to accommodate changes. We have had the fortune of having Len and Paul share the patterns that are described in this book via our engagements with Universal Data Models, LLC. These data modeling design patterns have helped us to focus on the essential business issues because we have leveraged these reusable building blocks for many of the standard design problems. These design patterns have also helped us to evaluate the quality of data models for their intended purpose. Many times there are a lot of enhancements required. Too often the very specialized business-oriented data model is also implemented physically. This may have significant drawbacks to flexibility. I'm looking forward to increasing the data modeling design pattern competence within Nokia with the help of this book." -Teemu Mattelmaki, Chief Information Architect, Nokia "Once again, Len Silverston, this time together with Paul Agnew, has made a valuable contribution to the body of knowledge about datamodels, and the act of building sound data models. As a professional data modeler, and teacher of data modeling for almost three decades, I have always been aware that I had developed some familiar mental "patterns" which I acquired very early in my data modeling experience. When teaching data modeling, we use relatively simple workshops, but they are carefully designed so the students will see and acquire a lot of these basic "patterns" - templates that they will recognize and can use to interpret different subject matter into data model form quickly and easily. I've always used these patterns in the course of facilitating data modeling sessions; I was able to recognize "Ah, this is just like ...," and quickly apply a pattern that I'd seen before. But, in all this time, I've never sat down and clearly categorized and documented what each of these "patterns" actually was in such a way that they could be easily and clearly communicated to others; Len and Paul have done exactly that. As in the other Data Model Resource Books, the thinking and writing is extraordinarily clear and understandable. I personally would have been very proud to have authored this book, and I sincerely applaud Len and Paul for another great contribution to the art and science of data modeling. It will be of great value to any data modeler." -William G. Smith, President, William G. Smith & Associates, www.williamgsmith.com "Len Silverston and Paul Agnew's book, Universal Patterns for Data Modeling, is essential reading for anyone undertaking commercial datamodeling. With this latest volume that compiles and insightfully describes fundamental, universal data patterns, The Data Model Resource Book series represents the most important contribution to the data modeling discipline in the last decade." -Dr. Graeme Simsion, Author of Data Modeling Essentials and Data Modeling Theory and Practice "Volume 3 of this trilogy is a most welcome addition to Len Silverston's two previous books in this area. Guidance has existed for some time for those who desire to use pattern-based analysis to jump-start their data modeling efforts. Guidance exists for those who want to use generalized and industry-specific data constructs to leverage their efforts. What has been missing is guidance to those of us needing guidance to complete the roughly one-third of data models that are not generalized or industry-specific. This is where the magic of individual organizational strategies must manifest itself, and Len and Paul have done so clearly and articulately in a manner that complements the first two volumes of The Data Model Resource Book. By adding this book to Volumes 1 and 2 you will be gaining access to some of the most integrated data modeling guidance available on the planet." -Dr. Peter Aiken, Author of XML in Data Management and data management industry leader VCU/Data Blueprint

This book constitutes revised selected papers from the 6th International Conference on Operations Research and Enterprise Systems, ICORES 2017, held in Porto, Portugal, in February 2017. The 15 papers presented in this volume were carefully reviewed and selected from a total of 90 submissions. They are organized in topical sections named: methodologies and technologies; and applications.

Das Buch bietet fur den deutschsprachigen Bereich erstmals eine wirtschaftliche und technische Betrachtung und Analyse eines immer wichtiger werdenden Modells der Softwareentwicklung und -lizenzierung. Es gibt zunachst eine Ubersicht uber den deutschen Softwaremarkt, stellt dann die verschiedenen Erscheinungsformen von Open-Source-Software (OSS) dar, beleuchtet die technischen Aspekte der Erstellung und des Einsatzes von OSS und analysiert sowohl die Motivation von Privatpersonen als auch von Unternehmen OSS zu entwickeln und einzusetzen. Insbesondere werden auch die wettbewerbsstrategischen und die betriebswirtschaftlichen Dimensionen dieser sich rasch ausbreitenden Vorgehensweise erortert. Darauf aufbauend werden die wirtschaftlichen Auswirkungen von OSS auf die deutsche Softwareindustrie sowie wirtschaftspolitische Aspekte von OSS untersucht.

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This book addresses several important aspects of complex automated negotiations and introduces a number of modern approaches for facilitating agents to conduct complex negotiations. It demonstrates that autonomous negotiation is one of the most important areas in the field of autonomous agents and multi-agent systems. Further, it presents complex automated negotiation scenarios that involve negotiation encounters that may have, for instance, a large number of agents, a large number of issues with strong interdependencies and/or real-time constraints.

This book constitutes extended and revised papers from the 19th International Conference on Enterprise Information Systems, ICEIS 2017, held in Porto, Portugal, in April 2017. The 28 papers presented in this volume were carefully reviewed and selected for inclusion in this book from a total of 318 submissions. They were organized in topical sections named: databases and information systems integration; artificial intelligence and decision support systems; information systems analysis and specification; software agents and internet computing; human-computer interaction; and enterprise architecture.

This book adopts an international perspective to examine how the online sale of insurance challenges the insurance regulation and the insurance contract, with a focus on insurance sales, consumer protection, cyber risks and privacy, as well as dispute resolution. Today insurers, policyholders, intermediaries and regulators interact in an increasingly online world with profound implications for what has up to now been a traditionally operating industry. While the growing threats to consumer and business data from cyber attacks constitute major sources of risk for insurers, at the same time cyber insurance has become the fastest growing commercial insurance product in many jurisdictions. Scholars and practitioners from Europe, the United States and Asia review these topics from the viewpoints of insurers, policyholders and insurance intermediaries. In some cases, existing insurance regulations appear readily adaptable to the online world, such as prohibitions on deceptive marketing of insurance products and unfair commercial practices, which can be applied to advertising through social media, such as Facebook and Twitter, as well as to traditional written material. In other areas, current regulatory and business practices are proving to be inadequate to the task and new ones are emerging. For example, the insurance industry and insurance supervisors are exploring how to review, utilize, profit from and regulate the explosive growth of data mining and predictive analytics ("big data"), which threaten long-standing privacy protection and insurance risk classification laws. This book's ambitious international scope matches its topics. The online insurance market is cross-territorial and cross-jurisdictional with insurers often operating internationally and as part of larger financial-services holding companies. The authors' exploration of these issues from the vantage points of some of the world's largest insurance markets - the U.S., Europe and Japan - provides a comparative framework, which is necessary for the understanding of online insurance.

This book presents high-quality original contributions on the fashion supply chain. A wide spectrum of application domains are covered, processing of big data coming from digital and social media channels, fashion new product development, fashion design, fashion marketing and communication strategy, business models and entrepreneurship, e-commerce and omni-channel management, corporate social responsibility, new materials for fashion product, wearable technologies. The contents are based on presentations delivered at IT4Fashion 2016, the 6th International Conference in Business Models and ICT Technologies for the Fashion Supply Chain, which was held in Florence, Italy, in April 2016. This conference series represents a targeted response to the growing need for research that reports and debates supply chain business models and technologies applied to the fashion industry, with the aim of increasing knowledge in the area of product lifecycle management and supply chain management in that industry.

This volume focuses on the theory and practice of data stream management, and the novel challenges this emerging domain poses for data-management algorithms, systems, and applications. The collection of chapters, contributed by authorities in the field, offers a comprehensive introduction to both the algorithmic/theoretical foundations of data streams, as well as the streaming systems and applications built in different domains. A short introductory chapter provides a brief summary of some basic data streaming concepts and models, and discusses the key elements of a generic stream query processing architecture. Subsequently, Part I focuses on basic streaming algorithms for some key analytics functions (e.g., quantiles, norms, join aggregates, heavy hitters) over streaming data. Part II then examines important techniques for basic stream mining tasks (e.g., clustering, classification, frequent itemsets). Part III discusses a number of advanced topics on stream processing algorithms, and Part IV focuses on system and language aspects of data stream processing with surveys of influential system prototypes and language designs. Part V then presents some representative applications of streaming techniques in different domains (e.g., network management, financial analytics). Finally, the volume concludes with an overview of current data streaming products and new application domains (e.g. cloud computing, big data analytics, and complex event processing), and a discussion of future directions in this exciting field. The book provides a comprehensive overview of core concepts and technological foundations, as well as various systems and applications, and is of particular interest to students, lecturers and researchers in the area of data stream management.

This book constitutes the proceedings of the Third International Conference on Smart Grid and Innovative Frontiers in Telecommunications, SmartGIFT, held in Auckland, New Zealand, in April 2018. The 28 revised full papers presented were carefully reviewed and selected from 44 submissions. They focus on smart grid as the next generation of electrical grid, which will enable the smart integration of conventional, renewable and distributed power generation, energy storage, transmission and distribution, and demand management. The benefits of smart grid include enhanced reliability and resilience, higher intelligence and optimized control, decentralized operation, higher operational efficiency, more efficient demand management, and better power quality.