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2020 – today
- 2024
[j1]Alexander Mayr, Philip Stahmann
, Maximilian Nebel, Christian Janiesch:
Still doing it yourself? Investigating determinants for the adoption of intelligent process automation. Electron. Mark. 34(1): 56 (2024)- 2023
- [c12]Alena Rodda, Philip Stahmann:
Towards a Student-Centered Learning Analytics Dashboard: Design, Development and Evaluation. AMCIS 2023 - [c11]Philip Stahmann, Alena Rodda, Christian Janiesch:
The effect of Advanced Analytics Real-Time Dashboards on Cognitive absorption and Task Load of Human End Users. ECIS 2023 - [c10]Philip Stahmann:
A Prototypical Dashboard for Knowledge-Based Expert Systems used for Real-Time Anomaly Handling in Smart Manufacturing. HICSS 2023: 5582-5590 - [c9]Alexander Mayr, Philip Stahmann, Maximilian Nebel, Christian Janiesch:
Unified Theory of Acceptance and Use of Technology (UTAUT) for Intelligent Process Automation. ICIS 2023 - [c8]Philip Stahmann, Laura Sophie Gravemeier, Anke Dittmer, Christian Janiesch, Oliver Thomas:
User-Centered Visual Design of Alarms in Manufacturing Dashboards: Insights on Comprehensibility and Preferences. ICIS 2023 - 2022
- [c7]Philip Stahmann, Jon Oodes, Bodo Rieger:
Improving Machine Self-Diagnosis with an Instance-Based Selector for Real-Time Anomaly Detection Algorithms. ICDSST 2022: 29-43 - [c6]Philip Stahmann, Bodo Rieger:
Towards Design Principles for a Real-Time Anomaly Detection Algorithm Benchmark Suited to Industrie 4.0 Streaming Data. HICSS 2022: 1-7 - [c5]Philip Stahmann, Bodo Rieger:
A Benchmark for Real-Time Anomaly Detection Algorithms Applied in Industry 4.0. LOD (1) 2022: 20-34 - [c4]Philip Stahmann, Maximilian Nebel, Bodo Rieger:
A Real-Time Semantic Anomaly Labeler Capturing Local Data Stream Features to Distinguish Anomaly Types in Production. LOD (1) 2022: 399-413 - 2021
- [c3]Philip Stahmann, Bodo Rieger:
Requirements Identification for Real-Time Anomaly Detection in Industrie 4.0 Machine Groups: A Structured Literature Review. HICSS 2021: 1-10 - [c2]Philip Stahmann, Arne Krüger, Bodo Rieger:
Digital Twins for Real-time Data Analysis in Industrie 4.0: Pathways to Maturity. IN4PL 2021: 123-130
2010 – 2019
- 2019
- [c1]Dennis Horstkemper, Philip Stahmann, Bernd Hellingrath:
Assessing the Suitability of ArchiMate to Model Industry 4.0 Production Systems. IIAI-AAI 2019: 827-832
Coauthor Index
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