A Process for Reviewing Design Science Research Papers to Enhance Content Knowledge & Research Opportunities

• URL: http://arxiv.org/abs/2408.07230v1
• Date: Wed, 24 Jul 2024 17:40:00 GMT
• Title: A Process for Reviewing Design Science Research Papers to Enhance Content Knowledge & Research Opportunities
• Authors: Kweku-Muata Osei-Bryson,
• Abstract summary: Most published Information Systems research are of the behavioral science research (BSR) category rather than the design science research (DSR) category. This is due in part to the BSR orientation of many IS doctoral programs, which often do not involve much technical courses. We present a process for reviewing DSR papers that has as its objectives: enhancing technical content knowledge, increasing knowledge and understanding of approaches to designing and evaluating IS/IT artifacts, and facilitating the identification of new DSR opportunities.
• Score: 4.73194777046253
• License: http://creativecommons.org/publicdomain/zero/1.0/
• Abstract: Most published Information Systems research are of the behavioral science research (BSR) category rather than the design science research (DSR) category. This is due in part to the BSR orientation of many IS doctoral programs, which often do not involve much technical courses. This includes IS doctoral programs that train Information and Communication Technologies for Development (ICT4D) researchers. Without such technical knowledge many doctoral and postdoctoral researchers will not feel confident in engaging in DSR research. Given the importance of designing artifacts that are appropriate for a given context, an important question is how can ICT4D and other IS researchers increase their IS technical content knowledge and intimacy with the DSR process. In this paper we present, a process for reviewing DSR papers that has as its objectives: enhancing technical content knowledge, increasing knowledge and understanding of approaches to designing and evaluating IS/IT artifacts, and facilitating the identification of new DSR opportunities. This process has been applied for more than a decade at a USA research university.

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