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

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Disentangling the Problem Space: A Validated Problem Statement for Sustainability Support Systemsgn science research (DSR) methodologies, this paper concentrates on the problem analysis around designing for sustainable behavior, especially by investigating the challenges and potential solutions to resource conservation of energy and water in residential environments. Collaborating with a real e

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A Design-Principle-Friendly Conceptual Model of Observational Crowdsourcingaring their ideas, observations, or knowledge. Existing conceptual frameworks do not reflect all the actors in an OC project and their goals. In addition, they do not consider the dual role of the platform as being a technology provider and also dependent on users for success. We used the structure

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Design Principles for Machine Learning Based Clinical Decision Support Systems: A Design Science Stuheart failure readmissions, combining machine learning, inpatient care process analysis, and user experience design. It introduces three key design principles: contextual integration, actionable insights, and adaptive explanation levels, to support the design of decision support in clinical settings

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