How Artificial Intelligence Challenges Tailorable Technology Design : Insights from a Design Study on Individualized Bladder Monitoring
| Title: | How Artificial Intelligence Challenges Tailorable Technology Design : Insights from a Design Study on Individualized Bladder Monitoring |
|---|---|
| Authors: | Fechner, Pascal; König, Fabian; Lockl, Jannik; Röglinger, Maximilian |
| Publication Year: | 2024 |
| Collection: | Bayreuth University: EPub Bayreuth |
| Subject Terms: | 004 Informatik; 330 Wirtschaft |
| Document Type: | article in journal/newspaper |
| File Description: | application/pdf |
| Language: | German; English |
| ISSN: | 1867-0202 |
| Relation: | https://epub.uni-bayreuth.de/id/eprint/7997/1/s12599-024-00872-9.pdf; Fechner, Pascal; König, Fabian; Lockl, Jannik; Röglinger, Maximilian: How Artificial Intelligence Challenges Tailorable Technology Design : Insights from a Design Study on Individualized Bladder Monitoring. In: Business & Information Systems Engineering. Bd. 66 (2024) Heft 3 . - S. 357-376. ISSN 1867-0202 DOI der Verlagsversion: https://doi.org/10.1007/s12599-024-00872-9 |
| Availability: | https://epub.uni-bayreuth.de/id/eprint/7997/ |
| Rights: | cc_by_4 ; http://creativecommons.org/licenses/by/4.0/ ; info:eu-repo/semantics/openAccess |
| Accession Number: | edsbas.9330CFCA |
| Database: | BASE |