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

使長(zhǎng)胖

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.

Junction

Sa?a Bosan?i?,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.

為寵愛(ài)

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.

Complement

Notorious

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.

implore

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.

周興旺

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.

Trigger-Point

attenuate

locus-ceruleus

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.