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Titlebook: Design Science Research for a Resilient Future; 19th International C Munir Mandviwalla,Matthias Söllner,Tuure Tuunanen Conference proceedin

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楼主: iniquity
发表于 2025-3-25 04:05:45 | 显示全部楼层
https://doi.org/10.1007/978-3-030-89082-7in navigating complex problem spaces, particularly those related to sustainability in IS. We provide a detailed account of our problem-analysis process and offer insights into the role of continuous problem refinement in DSR.
发表于 2025-3-25 09:36:16 | 显示全部楼层
Saša Bosančić,Folke Brodersen,Boris Trauet between the two parties, ultimately failing the negotiations. Finally, we discuss implications and future research on AI reliance in multi-party settings and highlight that this study should serve as a starting point in investigating AI reliance in multi-party settings.
发表于 2025-3-25 15:05:48 | 显示全部楼层
Classifying Typefaces according to DIN, DSR projects. We further present a dual-use of design knowledge framework that shows pathways and re(use) of knowledge in DSR. We think that this typology is a useful theoretical contribution that can benefit both academics and practitioners conducting DSR projects.
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Disentangling the Problem Space: A Validated Problem Statement for Sustainability Support Systemsin navigating complex problem spaces, particularly those related to sustainability in IS. We provide a detailed account of our problem-analysis process and offer insights into the role of continuous problem refinement in DSR.
发表于 2025-3-26 03:10:28 | 显示全部楼层
Conceptualizing Multi-party AI Reliance for Design Researcht between the two parties, ultimately failing the negotiations. Finally, we discuss implications and future research on AI reliance in multi-party settings and highlight that this study should serve as a starting point in investigating AI reliance in multi-party settings.
发表于 2025-3-26 07:52:43 | 显示全部楼层
A Typology of Knowledge Creation in Design Science Research Projects DSR projects. We further present a dual-use of design knowledge framework that shows pathways and re(use) of knowledge in DSR. We think that this typology is a useful theoretical contribution that can benefit both academics and practitioners conducting DSR projects.
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Design Principles for Machine Learning Based Clinical Decision Support Systems: A Design Science Stu. The research, while focused on a specific healthcare context, offers a model for integrating technical precision and user-centric design in inpatient care processes, suggesting broader applications and future research directions in diverse healthcare environments.
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