scholarly journals Toward replication study types for design science research

2021 ◽  
pp. 026839622110064
Author(s):  
Alfred Benedikt Brendel ◽  
Tim-Benjamin Lembcke ◽  
Jan Muntermann ◽  
Lutz M Kolbe

In design science research, two important challenges exist to achieve greater influence in research and practice: (1) foster frequent reuse of artifacts and design theories and (2) increase knowledge accumulation in the field. In this article, we argue that replication studies could support the accumulation and development of design theories to reach a state that encourages reuse of artifacts and design theories. However, it is unclear precisely how replication relates to design science research—that is, what outcomes replication produces and how researchers should apply it within design science research. This study proposes three overarching research questions ( Does the artifact provide utility? Is the design theory complete? What design theory components fit a larger context?) and eight categories for replication studies in design science research (Test, Redesign, Justification, Adaptation, Explanation, Update, Recreation, and Meta-Replication). We offer guidance to researchers, editors, and reviewers on how to conduct replication studies in design science research and why such studies are so critical. Our goal is to provide “food for thought” on the significance of design science research replication studies and, in turn, help facilitate their widespread implementation and publication. We conclude our study by highlighting areas for further discussion and investigation, such as defining replication procedures and conceptualizing genuine replication goals within design science research.

2020 ◽  
Author(s):  
NH Thuan ◽  
Andreas Drechsler ◽  
Pedro Antunes

© 2019 by the Association for Information Systems. Posing research questions represents a fundamental step to guide and direct how researchers develop knowledge in research. In design science research (DSR), researchers need to pose research questions to define the scope and the modes of inquiry, characterize the artifacts, and communicate the contributions. Despite the importance of research questions, research provides few guidelines on how to construct suitable DSR research questions. We fill this gap by exploring ways of constructing DSR research questions and analyzing the research questions in a sample of 104 DSR publications. We found that about two-thirds of the analyzed DSR publications actually used research questions to link their problem statements to research approaches and that most questions focused on solving problems. Based on our analysis, we derive a typology of DSR question formulation to provide guidelines and patterns that help researchers formulate research questions when conducting their DSR projects.


Author(s):  
NH Thuan ◽  
Andreas Drechsler ◽  
Pedro Antunes

© 2019 by the Association for Information Systems. Posing research questions represents a fundamental step to guide and direct how researchers develop knowledge in research. In design science research (DSR), researchers need to pose research questions to define the scope and the modes of inquiry, characterize the artifacts, and communicate the contributions. Despite the importance of research questions, research provides few guidelines on how to construct suitable DSR research questions. We fill this gap by exploring ways of constructing DSR research questions and analyzing the research questions in a sample of 104 DSR publications. We found that about two-thirds of the analyzed DSR publications actually used research questions to link their problem statements to research approaches and that most questions focused on solving problems. Based on our analysis, we derive a typology of DSR question formulation to provide guidelines and patterns that help researchers formulate research questions when conducting their DSR projects.


Author(s):  
Michael A. Nees

Despite over 25 years of intensive work in the field, sonification research and practice continue to be hindered by a lack of theory. In part, sonification theory has languished, because the requirements of a theory of sonification have not been clearly articulated. As a design science, sonification deals with artifacts—artificially created sounds and the tools for creating the sounds. Design fields require theoretical approaches that are different from theory-building in natural sciences. Gregor and Jones [1] described eight general components of design theories: (1) purposes and scope; (2) constructs; (3) principles of form and function; (4) artifact mutability; (5) testable propositions; (6) justificatory knowledge; (7) principles of implementation; and (8) expository instantiations. In this position paper, I examine these components as they relate to the field of sonification and use these components to clarify requirements for a theory of sonification. The current status of theory in sonification is assessed as it relates to each component, and, where possible, recommendations are offered for practices that can advance theory and theoretically-motivated research and practice in the field of sonification.


Author(s):  
Sivaramalingam Kirushanth ◽  
Boniface Kabaso

Concept Knowledge (C-K) theory has been used in engineering and science-based research for more than a decade. Design of an Information Technology (IT) artefact is mostly pragmatic in nature. Design Science Research (DSR) methodology applied and studied in many Information Systems (IS) research. Many sub design decisions involved through the design of an IT artefact from a concept (idea) to a working prototype. A DSR artefact is based on a combination of decisions made during several sub-design stages. Artefacts are built based on the selection of elements in each sub-design space. Recording the design decisions on each sub-design space would be beneficial for future researchers. By knowing the design decisions on each sub-design space, researchers would be able to try different combinations of the design. C-K theory provides the ability to capture the design processes’ several sub-design spaces. In this paper, we discuss the DSR research methodology by looking at the stages proposed in the literature, and the application of C-K theory in an IT-based DSR. This paper also proposed a C-K theory-based protocol called Concept Tree for tracking and reporting artefact design steps. The application of C-K theory in DSR is exhibited using the implementation of the Concept Tree for a prototype design IT artefact.


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