The DSR grid: six core dimensions for effectively planning and communicating design science research projects

Brocke, Jan vom; Maedche, Alexander

doi:10.1007/s12525-019-00358-7

Cited by 77 publications

(30 citation statements)

References 22 publications

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“…For this study, a DSR approach was applied and the process steps of Peffers et al [10] adapted. The objective is to obtain new design knowledge for a class of IT artifacts [11] which also can be utilized by future DSR and information systems (IS) research as input knowledge [12]. The overarching objective is hence to provide an innovative solution to a real-world problem [12] and produce a contribution to the knowledge base [11].…”

Section: Design Science Research Frameworkmentioning

confidence: 99%

AI-Assisted and Explainable Hate Speech Detection for Social Media Moderators – A Design Science Approach

Bunde¹

2021

Proceedings of the Annual Hawaii International Conference on System Sciences

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To date, the detection of hate speech is still primarily carried out by humans, yet there is great potential for combining human expertise with automated approaches. However, identified challenges include low levels of agreement between humans and machines due to the algorithms' missing expertise of, e.g., cultural, and social structures. In this work, a design science approach is used to derive design knowledge and develop an artifact, through which humans are integrated in the process of detecting and evaluating hate speech. For this purpose, explainable artificial intelligence (XAI) is utilized: the artifact will provide explanative information, why the deep learning model predicted whether a text contains hate. Results show that the instantiated design knowledge in form of a dashboard is perceived as valuable and that XAI features increase the perception of the artifact's usefulness, ease of use, trustworthiness as well as the intention to use it.

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Section: Design Science Research Frameworkmentioning

confidence: 99%

AI-Assisted and Explainable Hate Speech Detection for Social Media Moderators – A Design Science Approach

Bunde¹

2021

Proceedings of the Annual Hawaii International Conference on System Sciences

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“…DSR aims to generate prescriptive knowledge about the design of IS artefacts, such as software instantiations, methods, models, and constructs (Hevner, March, Park, & Ram, 2004), and two types of contributions are identified: contributions to design artefacts and contributions to design theory (vom Brocke & Maedche, 2019). While contributions to design artefacts are made through conducting design processes in search of solutions to problems (Hevner et al, 2004), contributions to design theory are made through theorising about such processes (Gregor & Jones, 2007).…”

Section: Information Systems Designmentioning

confidence: 99%

Advancing a NeuroIS research agenda with four areas of societal contributions

Brocke

Hevner

Léger

et al. 2020

European Journal of Information Systems

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On the 10th anniversary of the NeuroIS field, we reflect on accomplishments but, more importantly, on the future of the field. This commentary presents our thoughts on a future NeuroIS research agenda with the potential for high impact societal contributions. Four key areas for future information systems (IS) research are: (1) IS design, (2) IS use, (3) emotion research, and (4) neuro-adaptive systems. We reflect on the challenges of each area and provide specific research questions that serve as important directions for advancing the NeuroIS field. The research agenda supports fellow researchers in planning, conducting, publishing, and reviewing high impact studies that leverage the potential of neuroscience knowledge and tools to further information systems research. ARTICLE HISTORY

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“…Furthermore, our DSR project can be positioned in the DSR grid of vom Brocke and Maedche, 53 meeting all six core dimensions (Table 4).…”

Section: Discussionmentioning

confidence: 99%

“…49,50 To enhance rigor, this study adhered to the following DSR perspectives: (a) the information systems (IS) artifact types of March and Smith 51 to identify design artifacts, (b) the DSR methodology of Peffers et al 20 to structure our design process (Figure 2), (c) the IS design theory components of Walls et al 45 to identify our process and product requirements and evaluation criteria, and (d) the DSR criteria of Hevner 52 for our evaluation phase. Also the DSR grid of vom Brocke and Maedche 53 was considered.…”

Section: Defining the Research Phasesmentioning

confidence: 99%

Developing a tool for process‐oriented appraisals and rewards: Design science research

Shafagatova

Looy

2020

J Software Evolu Process

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While business process management (BPM) has become a recognized discipline, managers are still challenged to achieve an appropriate alignment between BPM their BPM needs and other management practices in the organization. Specifically, the aligned behavior and performance of employees and teams are crucial to reap the full benefits of BPM. To help managers face such alignment challenges, we have developed a qualitative decision support tool, called “process‐oriented appraisals and rewards” (POAR), by combining design‐science research with a strong qualitative approach. Our study contributes to the BPM and human resource management (HRM) disciplines by extending multifaceted knowledge, while also offering a practical tool for managers to support their decision making regarding a BPM‐HRM alignment.

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The DSR grid: six core dimensions for effectively planning and communicating design science research projects

Cited by 77 publications

References 22 publications

AI-Assisted and Explainable Hate Speech Detection for Social Media Moderators – A Design Science Approach

AI-Assisted and Explainable Hate Speech Detection for Social Media Moderators – A Design Science Approach

Advancing a NeuroIS research agenda with four areas of societal contributions

Developing a tool for process‐oriented appraisals and rewards: Design science research

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