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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. Lastly, Chapter 13 discusses ethical issues and principles for design science research.
Computer science. --- Software engineering. --- Computers. --- Sociology. --- Computer Science. --- Software Engineering. --- Models and Principles. --- Knowledge - Discourse. --- Computer software engineering --- Engineering --- Informatics --- Science --- Design. --- Engineering & Applied Sciences. --- Social theory --- Social sciences --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic brains --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Cybernetics --- Machine theory --- Calculators --- Cyberspace
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1 Introduction.- 2 Knowledge Types and Forms.- 3 Research Strategies and Methods.- 4 A Method Framework for Design Science Research.- 5 Explicate Problem.- 6 Define Requirements.- 7 Design and Develop Artefact.- 8 Demonstrate Artefact.- 9 Evaluate Artefact.- 10 Communicate Artefact Knowledge.- 11 Systems Development and the Method Framework for Design Science Research.- 12 Research Paradigms.- 13 Ethics and Design Science. 14 Digital Consultations - a Case Study.
Information systems --- Computer. Automation --- database management --- software engineering --- Design. --- Design --- Research. --- Creation (Literary, artistic, etc.)
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1 Introduction.- 2 Knowledge Types and Forms.- 3 Research Strategies and Methods.- 4 A Method Framework for Design Science Research.- 5 Explicate Problem.- 6 Define Requirements.- 7 Design and Develop Artefact.- 8 Demonstrate Artefact.- 9 Evaluate Artefact.- 10 Communicate Artefact Knowledge.- 11 Systems Development and the Method Framework for Design Science Research.- 12 Research Paradigms.- 13 Ethics and Design Science. 14 Digital Consultations - a Case Study.
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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. Lastly, Chapter 13 discusses ethical issues and principles for design science research.
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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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The objective of this e-book is to try to clarify the connection between the notions of goal and business process. The issue is a follow-up to the discussions at the Workshop on Goal-Oriented Business Process Modelling held in London on 2 September 2002. The papers cover a wide spectrum of topics, related to the notions of goals in the business process domain.
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This book constitutes the proceedings of the 27th International Conference on Advanced Information Systems Engineering, CAiSE 2015, held in Stockholm, Sweden, in June 2015. The 31 papers presented in this volume were carefully reviewed and selected from 236 submissions. They were organized in topical sections named: social and collaborative computing; business process modeling and languages; high volume and complex information management; requirements elicitation and management; enterprise data management; model conceptualisation and evolution; process mining, monitoring and predicting; intra- and inter-organizational process engineering; process compliance and alignment; enterprise IT integration and management; and service science and computing. The book also contains the abstracts of 3 keynote speeches and 5 tutorials, presented at the conference.
Computer Science. --- Information Systems Applications (incl. Internet). --- Software Engineering. --- Database Management. --- Business Information Systems. --- Computer Appl. in Administrative Data Processing. --- Computer science. --- Software engineering. --- Database management. --- Information systems. --- Management information systems. --- Informatique --- Génie logiciel --- Bases de données --- Informatique de gestion --- Gestion --- Engineering & Applied Sciences --- Computer Science --- Information storage and retrieval systems --- Systèmes d'information --- Application software. --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- Data base management --- Data services (Database management) --- Database management services --- DBMS (Computer science) --- Generalized data management systems --- Services, Database management --- Systems, Database management --- Systems, Generalized database management --- Electronic data processing --- Computer software engineering --- Engineering --- Computer-based information systems --- EIS (Information systems) --- Executive information systems --- MIS (Information systems) --- Sociotechnical systems --- Information resources management --- Management --- Informatics --- Science --- Communication systems --- Computer-aided 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.
Business. --- Entrepreneurship. --- Management information systems. --- Service industries. --- Computers. --- Business and Management. --- Business Information Systems. --- Information Systems and Communication Service. --- Services. --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic brains --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer-based information systems --- EIS (Information systems) --- Executive information systems --- MIS (Information systems) --- Entrepreneur --- Intrapreneur --- Trade --- Computer systems --- Cybernetics --- Machine theory --- Calculators --- Cyberspace --- Industries --- Sociotechnical systems --- Information resources management --- Management --- Capitalism --- Business incubators --- Economics --- Commerce --- Industrial management --- Communication systems --- Information systems.
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System Design --- Mathematical models --- Computer simulation
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