Philip Stahmann

21 papers C 2Journal 3Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Drivers, Barriers, and Paradoxical Tensions of Data Analytics Use in German Large Manufacturing Companies. IEEE Access Philip Stahmann, Christian Janiesch
2025	—	`conf`	AI-as-a-Service Mediation: How Ordinary Companies Become AIaaS-powered Service Providers. ECIS Alexander Van Der Staay, Mihael Markic, Philip Stahmann, Maximilian Nebel, Charlotte Knickrehm, Jens Poeppelbuss, Christian Janiesch
2025	J	`jnl`	AI-based real-time anomaly detection in industrial engineering: A structured literature review, taxonomy, and research agenda. Comput. Ind. Eng. Philip Stahmann, Maximilian Nebel, Christian Janiesch
2025	—	`conf`	Archetype Discovery from Taxonomies: A Method to Cluster Small Datasets of Categorical Data. HICSS Lars Lenssen, Philip Stahmann, Christian Janiesch, Erich Schubert
2025	—	`conf`	Hybrid Intelligence in Action: A Taxonomy of Human-AI Interaction. ECIS Seyyid Ahmed Ciftci, Philip Stahmann, Christian Janiesch
2025	—	`conf`	Leveraging Generative Artificial Intelligence for Design Thinking in Creative Processes: A Literature Review. HICSS Hendrik Zemke, Philip Stahmann, Christian Janiesch
2025	—	`conf`	Opportunities and Challenges for AI-supported Business Intelligence Systems - A Delphi Study. HICSS Philip Stahmann, Jannis Röver, Seyyid A. Ciftci, Alena Rodda, Christian Janiesch
2024	—	`conf`	Development and Future Research Directions of AI-Based Anomaly Detection in Smart Manufacturing: A Bibliometric Analysis. Wirtschaftsinformatik Maximilian Nebel, Philip Stahmann, Christian Janiesch
2024	J	`jnl`	Still doing it yourself? Investigating determinants for the adoption of intelligent process automation. Electron. Mark. Alexander Mayr, Philip Stahmann, Maximilian Nebel, Christian Janiesch
2023	—	`conf`	A Prototypical Dashboard for Knowledge-Based Expert Systems used for Real-Time Anomaly Handling in Smart Manufacturing. HICSS Philip Stahmann
2023	—	`conf`	The effect of Advanced Analytics Real-Time Dashboards on Cognitive absorption and Task Load of Human End Users. ECIS Philip Stahmann, Alena Rodda, Christian Janiesch
2023	—	`conf`	Towards a Student-Centered Learning Analytics Dashboard: Design, Development and Evaluation. AMCIS Alena Rodda, Philip Stahmann
2023	C	`conf`	Unified Theory of Acceptance and Use of Technology (UTAUT) for Intelligent Process Automation. ICIS Alexander Mayr, Philip Stahmann, Maximilian Nebel, Christian Janiesch
2023	C	`conf`	User-Centered Visual Design of Alarms in Manufacturing Dashboards: Insights on Comprehensibility and Preferences. ICIS Philip Stahmann, Laura Sophie Gravemeier, Anke Dittmer, Christian Janiesch, Oliver Thomas
2022	—	`conf`	A Benchmark for Real-Time Anomaly Detection Algorithms Applied in Industry 4.0. LOD (1) Philip Stahmann, Bodo Rieger
2022	—	`conf`	A Real-Time Semantic Anomaly Labeler Capturing Local Data Stream Features to Distinguish Anomaly Types in Production. LOD (1) Philip Stahmann, Maximilian Nebel, Bodo Rieger
2022	—	`conf`	Improving Machine Self-Diagnosis with an Instance-Based Selector for Real-Time Anomaly Detection Algorithms. ICDSST Philip Stahmann, Jon Oodes, Bodo Rieger
2022	—	`conf`	Towards Design Principles for a Real-Time Anomaly Detection Algorithm Benchmark Suited to Industrie 4.0 Streaming Data. HICSS Philip Stahmann, Bodo Rieger
2021	—	`conf`	Digital Twins for Real-time Data Analysis in Industrie 4.0: Pathways to Maturity. IN4PL Philip Stahmann, Arne Krüger, Bodo Rieger
2021	—	`conf`	Requirements Identification for Real-Time Anomaly Detection in Industrie 4.0 Machine Groups: A Structured Literature Review. HICSS Philip Stahmann, Bodo Rieger
2019	—	`conf`	Assessing the Suitability of ArchiMate to Model Industry 4.0 Production Systems. IIAI-AAI Dennis Horstkemper, Philip Stahmann, Bernd Hellingrath