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.

It is the aim of this study to present a framework for the design of technical systems. This can be achieved through a general Design Science, a knowledge system in which products are seen as objects to be developed within engineering design processes. The authors have developed this design science from a division of the knowledge system along two axes. One deals with knowledge about technical systems and design processes while the other presents descriptive statements. Relationships among the various sections of the knowledge system are made clear. Well-known insights into engineering design, the process, its management and its products are placed into new contexts. Particular attention is given to various areas of applicability. Widespread use throughout is made of easily assimilated diagrams and models.

It is 5 years since the publication of the seminal paper on “Design Science in Information Systems Research” by Hevner, March, Park, and Ram in MIS Quarterly and the initiation of the Information Technology and Systems department of the Communications of AIS. These events in 2004 are markers in the move of design science to the forefront of information systems research. A suf cient interval has elapsed since then to allow assessment of from where the eld has come and where it should go. Design science research and behavioral science research started as dual tracks when IS was a young eld. By the 1990s, the in ux of behavioral scientists started to dominate the number of design scientists and the eld moved in that direction. By the early 2000s, design people were having dif culty publishing in mainline IS journals and in being tenured in many universities. Yes, an annual Workshop on Information Technology and Systems (WITS) was established in 1991 in conju- tion with the International Conference on Information Systems (ICIS) and grew each year. But that was the extent of design science recognition. Fortunately, a revival is underway. By 2009, when this foreword was written, the fourth DESRIST c- ference has been held and plans are afoot for the 2010 meeting. Design scientists regained respect and recognition in many venues where they previously had little.

Design research promotes understanding of advanced, cutting-edge information systems through the construction and evaluation of these systems and their components. Since this method of research can produce rigorous, meaningful results in the absence of a strong theory base, it excels in investigating new and even speculative technologies, offering

Designing engineering products technical systems and/or transformation processes requires a range of information, know-how, experience, and engineering analysis, to find an optimal solution. Creativity and open-mindedness can be greatly assisted by systematic design engineering, which will ultimately lead to improved outcomes, documentatio

Consolidating existing knowledge in Design Science, this book proposes a new research method to aid the exploration of design and problem solving within business, science and technology. It seeks to overcome a dichotomy that exists in the field between theory and practice to enable researches to find solutions to problems, rather than focusing on the explanation and exploration of the problems themselves. Currently, researches concentrate on to describing, exploring, explaining and predicting phenomena, and little attention is devoted to prescribing solutions. Herbert Simon proposes the need to develop a Science of the Artificial (Design Science), arguing that our reality is much more artificial than natural. However, the research conducted on the Design Science premises has so far been scattered and erratic in different fields of research, such as management, systems information and engineering. This book aims to address this issue by bringing these fields together and emphasising the need for solutions. This book provides a valuable resource to students and researchers of research methods, information systems, management and management science, and production and operations management.

There is an important overlap between science and design. The most significant technological developments cannot be produced without designers to conceptualize them. By the same token, designers cannot do their job properly without a good understanding of the scientific or technical principles that are being developed within the product. Science in Design: Solidifying Design with Science and Technology reveals the significance of the essential yet understudied intersection of design and scientific academic research and encompasses technological development, scientific principles, and the point of overlap between science and design. Encourages readers to comprehend the role of science in all facets of design Discusses the fundamental involvement of science required for engineering and design irrespective of whether the design is from an individual, business, or social perspective Covers the ontology, characteristics, and application of science in major fields of design education and design research, with an introduction of emerging practices transforming sustainable growth through applied behavioral models Depicts the art and science of material selection using new design techniques and technology advances like augmented reality, AI, and decision-support toolkits This unique book will benefit scientists, technologists, and engineers, as well as designers and professionals, across a variety of industries dealing with scientific analysis of design research methodology, design lifecycle, and problem solving.