Advances in Design Science Research
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ItemA Framework of Design Method Corroboration( 2023-01-03)Practitioners design artifacts of different kinds. Researchers and practitioners both create methods for designing such artifacts. The question arises whether those methods are actually valid and useful. In this conceptual paper, we argue that there is a need for “method corroboration”—the deliberate and reflected use and possible validation of a design method. We present a literature review of method corroboration in the IS and more specifically in the DSR literature. The findings are summarized as a conceptual model outlining eight strategies of method use, which are then condensed into a 2-by-2 framework of method corroboration. The results of this paper present insight into the current state of method corroboration in the DSR field and provide guidance for working with design methods in research and practice.
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ItemSharing Design Knowledge Through Codification in Interdisciplinary DSR Collaborations( 2023-01-03)The goals of design science research (DSR) projects are to generate novel and useful artifacts and to produce rigorous and generalizable design knowledge. Often, DSR projects are conducted in collaborative, interdisciplinary project teams. Different disciplinary approaches to codifying design knowledge result in challenging project interactions. To study this situation, we analyze design knowledge codification in interdisciplinary teams over time. We gain insights from a survey of recent DSR papers that have been published in the AIS Senior Scholars’ Basket. We then present a detailed case study of a longitudinal project that brought to light issues of sharing design knowledge across disciplinary borders. Drawing from the survey and case study, we provide actionable guidance on how to effectively codify and share design knowledge to support researchers and practitioners to build useful artifacts and to make interdisciplinary design knowledge contributions reusable and applicable.
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ItemThe Beauty of Messiness: A Flexible Tool for Design Principle Projects( 2023-01-03)Abstracting and formalizing knowledge collected throughout a design science research (DSR) project is important to inform the design of future artifacts. Design principles are one of the prevailing forms to capture design-relevant knowledge and guide both research and practice to build new artifacts. Although today’s DSR projects are often agile and creative, they require a minimum structure to ensure rigor. In this paper, we set out to master the tradeoff between creative messiness and fully standardized design endeavors by presenting a situational tool in the form of a card deck. We report on the building of a design tool and its demonstration via two illustrative examples. Overall, we complement the valuable body of DSR frameworks and introduce a flexible and configurable tool capable of taking into account specific project situations.
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ItemUse Your Data: Design and Evaluation of a Card-Based Ideation Tool for Data-Driven Services( 2023-01-03)Using data can significantly improve service design and development. However, for businesses, developing data-driven services can be challenging. To address this, we have developed the Data Service Cards (DSCs), a card-based tool to inspire the design of data-driven services. This paper presents two cycles of a design science research (DSR) project, focusing on the second cycle of redesign and evaluation of the DSCs. We conducted a two-step evaluation, including surveys and external expert ratings of data-driven service ideas. Survey results indicate that the DSCs are a valuable tool for developing data-driven services and external experts consider services designed using DSCs to be of higher quality. With the DSCs, we provide practitioners with a tool that facilitates and improves service design and supports digital transformation. Further, we contribute to DSR literature with a rigorous experimental procedure and to service innovation by supporting the early stages of data-driven service innovation.
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ItemPresentation of Design Science Research in Information Systems and Engineering Disciplines - Empirical Investigation of Common Structures and Differences( 2023-01-03)Design Science Research is a research paradigm suitable for application-oriented disciplines that develop (construct) artifacts as solutions to practical problems. Design Science Research is known to be a mainstream research paradigm in engineering and other disciplines. In recent years, Design Science Research (DSR) has become an established research approach in the field of Information Systems (IS). Nevertheless, there is an ongoing debate about the methodology and guidelines for Design Science Research in Information Systems (IS-DSR). This paper proposes to gather and leverage insights from other design disciplines, such as engineering, to provide clarity and inspiration for IS-DSR and to work towards a common understanding of design science research across disciplines. This paper provides results of an initial empirical analysis of research literature from engineering disciplines. The results provide suggestions for validating DSR results and contribute to the understanding of research guidelines for DSR. In addition, a novel, fine-grained, and operational framework for analyzing DSR papers and projects is presented. The third contribution is a proposal to develop a common basic schema for design science research, analogous to the standard IMRaD schema for empirical research. Based on the analysis of samples of papers, this paper proposes IDEaD as the standard scheme for Design Science Research, i.e., Introduction, Description, Evaluation, and Discussion.
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ItemDesign Principles for Blockchain-based Applications in Green Bond Reporting( 2023-01-03)Emerging sustainable capital markets are crucial in reaching global climate goals. These markets’ credibility depends on the trustworthiness of data used to report the green impact of projects financed by sustainable financial instruments such as green bonds. To ensure credibility and thereby support these types of markets, the information systems field has the potential to create designs that leverage emerging technologies (in our case, blockchain) for green bond reporting. In this paper, we employ a design science research method to derive a set of design principles. These design principles discuss the most relevant blockchain concepts and reflect the characteristics of today’s green bond process. Through an artificial evaluation and demonstration of the design principles, we report on how to make informed design decisions to develop blockchain applications for green bond reporting. These findings are also significant for practitioners to develop new services or re-design current processes.