Advances in Design Science Research
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ItemTowards Ontology-Based Design Science Research for Knowledge Accumulation and Evolution( 2019-01-08)The potential of design science research (DSR) to contribute to real-world problems solving and innovation has been considered as an opportunity for IS researchers to demonstrate the relevance and significance of DSR paradigm. While most DSR studies have been informed on single design and development projects, future research needs to consider knowledge sharing and accumulation across multiple projects. This paper argues for combining the forces of design science research and ontology studies to foster knowledge creation and evolution. We propose a new approach to DSR by adopting ontology engineering as a knowledge sharing mechanism in which researchers assemble knowledge parts throughout the study. We develop a framework for understanding, conducting and evaluating ontology-based design science research, then present the roadmap and guidelines for its conduct and evaluation. This paper concludes with a call for a more collaborative endeavor to design studies in IS research.
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ItemIdentifying Authorship from Linguistic Text Patterns( 2019-01-08)Research that deals with linguistic text patterns is challenging because of the unstructured nature of text. This research presents a methodology to compare texts to identify whether two texts are written by the same or different authors. The methodology includes an algorithm to analyze the proximity of text, which is based upon Zipf’s Law [47][48]. The results have implications for text mining with applications to areas such as forensics, natural language processing, and information retrieval.
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ItemReview Informing the Design of 3D Food Printing for People with Swallowing Disorders: Constructive, Conceptual, and Empirical Problems( 2019-01-08)The aim of this review was to examine 3D food printing literature, its focus on problems and solutions, and its capacity for problem-solving in relation to the provision of texture-modified food for people with swallowing disorders (dysphagia). In June 2016 and 2018 the first and fourth authors searched 4 scientific databases with the key terms in 3D food printing and dysphagia to locate relevant peer reviewed journal articles for review. In total, 16 papers were included, and examined for: (a) problems, solutions, and potential for problem-solving capacity expressed in 3D food printing literature to date, and (b) applications of 3D printed foods in specific populations with swallowing disorders. Future research and development of 3D food printing technologies could consider empirical and conceptual problems, along with the multi-dimensional nature of special nutritional or swallowing needs. Taking these issues into account would facilitate the translation of findings into real-world outcomes and benefits.
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ItemAdvancing Design Science Research with Solution-based Probing( 2019-01-08)We propose solution-based probing as an extension of action design research. The core idea is that researchers bring a prototype solution (probe) into one or more fields and explore to synthesize robust and generalizable design knowledge, along with knowledge of the phenomena and correlations we discover. We believe proposing solutions creates opportunities for researchers to innovate and to document the impact. In addition, solutions can be effective probes for advancing theory, in terms of design theories and in creating exploratory foundations for behavioral and causal theory. We illustrate solution-based probing with four exemplar studies in the areas governance of municipalities, police work in informing citizens, learning in public schools, and naval decision making. We identify critical activities for ideating and initiating solution-based probing and for deriving sustainable solutions and scholarly knowledge from such studies. Finally, we discuss future directions for improving researchers’ ability to conduct high-impact solution-based probing research.
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ItemBeyond Intuition: Towards a Framework for Empirical-Based Design Theory Building in Design Science Research( 2019-01-08)Over the past twenty years, Design Science Research (DSR) has received major attention within the IS domain. Besides constructing and evaluating artefacts, researchers put effort into theorizing on IT design and its effects on users. Here, the development and testing of design theories is of major interest. Yet, design theory studies often lack empirical investigations on the identification of appropriate design features. Whereas in general DSR activities incorporate empirical investigations on many levels, the intertwined development of a theoretical model in connection with design features can further profit from empirical investigations by exploring the design realm of a specific context. We therefore propose a qualitative five-step approach suitable for inducing design features and theoretical constructs by engaging experienced stakeholders. We present a case study on the development of a support system for physiotherapeutic treatments, illustrating the proposed approach.
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ItemExploring Design Science Research Project Characteristics - An Initial Empirical Investigation( 2019-01-08)Design science research (DSR) has gained increased attention in the past decades. This type of research is commonly organized as research projects that need to be managed thoroughly to achieve the intended outcomes. However, very little empirical data are available that provide insights into the nature of DSR projects. This this study aims to bet-ter understand DSR projects as a foundation for further studies. It provides first empirical data about DSR project characteristics that have been collected in eight semi-structured interviews with experienced scholars. The data show that DSR projects are heterogeneous in terms of size, complexity, duration, budget and research outputs. They have in common that they focus on relevance, the design of artifacts, evaluation and the involvement of industry partners. A comparison with related meta-studies reveals that research methods employed in DSR projects differ significantly from the ones identified in the meta-studies.
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