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This book is an introductory text on design science, intended to support both graduate students and researchers in structuring, undertaking and presenting design science work. It builds on established design science methods as well as recent work on presenting design science studies and ethical principles for design science, and also offers novel instruments for visualizing the results, both in the form of process diagrams and through a canvas format. While the book does not presume any prior knowledge of design science, it provides readers with a thorough understanding of the subject and enables them to delve into much deeper detail, thanks to extensive sections on further reading. Design science in information systems and technology aims to create novel artifacts in the form of models, methods, and systems that support people in developing, using and maintaining IT solutions. This work focuses on design science as applied to information systems and technology, but it also includes examples from, and perspectives of, other fields of human practice. Chapter 1 provides an overview of design science and outlines its ties with empirical research. Chapter 2 discusses the various types and forms of knowledge that can be used and produced by design science research, while Chapter 3 presents a brief overview of common empirical research strategies and methods. Chapter 4 introduces a methodological framework for supporting researchers in doing design science research as well as in presenting their results. This framework includes five core activities, which are described in detail in Chapters 5 to 9. Chapter 10 discusses how to communicate design science results, while Chapter 11 compares the proposed methodological framework with methods for systems development and shows how they can be combined. Chapter 12 discusses how design science relates to research paradigms, in particular to positivism and interpretivism, and Chapter 13 discusses ethical issues and principles for design science research. The new Chapter 14 showcases a study on digital health consultations and illustrates the whole process in one comprehensive example. Also added to this 2nd edition are a number of sections on practical guidelines for carrying out basic design science tasks, a discussion on design thinking and its relationship to design science, and the description of artefact classifications. Eventually, both the references in each chapter and the companion web site were updated to reflect recent findings.

Information systems --- Computer. Automation --- database management --- software engineering

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This book explores how novel digital services, including e-services, digital platforms and mobile apps, are increasingly being innovated through open processes. It investigates how and why organizations invite external developers to participate in their innovation, often catalyzed by contests and the provision of open data, with the aim of designing digital services that go beyond the capability of the organizations themselves. Taking a contest driven approach to innovation, the book provides an accessible yet comprehensive introduction to the area of open digital innovation. It offers an analysis of key scientific principles underlying open innovation and based on these provides practical tools for improving the digital innovation process. Furthermore, the book introduces instruments for managing innovation contests, in particular for overcoming innovation barriers and for harnessing the power of motivating factors. It serves as a text for graduate and undergraduate courses in digital innovation and entrepreneurship, but is also a valuable resource for managers as well as policy makers in the field of open digital innovation.

Public economics --- Production management --- Business management --- Programming --- Information systems --- ICT (informatie- en communicatietechnieken) --- MIS (management informatie systeem) --- bedrijfseconomie --- ondernemingsstrategieën --- dienstverlenende bedrijven --- informatiesystemen --- ondernemen --- informatica management

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This book constitutes the refereed proceedings of the 34th International Conference on Conceptual Modeling, ER 2015, held in Stockholm, Sweden, in October 2015. The 26 full and 19 short papers presented were carefully reviewed and selected from 131 submissions. The papers are organized in topical sections on business process and goal models, ontology-based models and ontology patterns, constraints, normalization, interoperability and integration, collaborative modeling, variability and uncertainty modeling, modeling and visualization of user generated content, schema discovery and evolution, process and text mining, domain-based modeling, data models and semantics, and applications of conceptual modeling.

Information retrieval --- Complex analysis --- Mathematical statistics --- Computer science --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- patroonherkenning --- factoranalyse --- datamining --- complexe analyse (wiskunde) --- informatiesystemen --- database management --- algoritmen --- data acquisition