Machine Learning Approaches along the Radiology Value Chain - Rethinking Value Propositions. - Peter Hofmann 001; Severin Oesterle; Paul Rust; Nils Urbach (ECIS, 2019)

Developing Purposeful AI Use Cases - A Structured Method and Its Application in Project Management. - Peter Hofmann 001; Jan Jöhnk; Dominik Protschky; Nils Urbach (Wirtschaftsinformatik (Zentrale Tracks), 2020)

Robotic process automation. - Peter Hofmann 001; Caroline Samp; Nils Urbach (Electron. Mark., 2020)

KI-Anwendungsfälle zielgerichtet identifizieren. - Peter Hofmann 001; Jan Jöhnk; Dominik Protschky; Philipp Stähle; Nils Urbach; Christoph Buck 001 (Wirtschaftsinformatik Manag., 2020)

Gateways to Artificial Intelligence: Developing a Taxonomy for AI Service Platforms. - Flora Geske; Peter Hofmann 001; Luis Lämmermann; Vincent Schlatt; Nils Urbach (ECIS, 2021)

Innovating with Artificial Intelligence: Capturing the Constructive Functional Capabilities of Deep Generative Learning. - Peter Hofmann 001; Timon Rückel; Nils Urbach (HICSS, 2021)

Data-driven Applications to Foster Absorptive Capacity: A Literature-based Conceptualization. - Peter Hofmann 001; Philipp Stähle; Christoph Buck 001; Harald Thorwarth (HICSS, 2021)

Designing and Managing Artificial Intelligence-Enabled Information Systems - Peter Hofmann 001 (2021)

How Can Organizations Design Purposeful Human-AI Interactions: A Practical Perspective From Existing Use Cases and Interviews. - Silvana Hinsen; Peter Hofmann 001; Jan Jöhnk; Nils Urbach (HICSS, 2022)

Fairness, integrity, and privacy in a scalable blockchain-based federated learning system. - Timon Rückel; Johannes Sedlmeir; Peter Hofmann 001 (Comput. Networks, 2022)

Task delegation from AI to humans: A principal-agent perspective. - Tobias Guggenberger; Luis Lämmermann; Nils Urbach; Anna Michaela Walter; Peter Hofmann 001 (ICIS, 2023)

Reporting in large-scale agile organizations: insights and recommendations from a case study in software development. - Moritz Schüll; Peter Hofmann 001; Pascal Philipp; Nils Urbach (Inf. Syst. E Bus. Manag., 2023)

From Data to Value: Revisiting Business Value Research in the Context of Data-Driven Insight Initiatives. - Daniel Feulner; Peter Hofmann 001; Nils Urbach (ECIS, 2024)

Teaming Up with Intelligent Agents - A Work System Perspective on the Collaboration with Intelligent Agents. - Aaron Jakob; Moritz Schüll; Peter Hofmann 001; Nils Urbach (ECIS, 2024)

Managing artificial intelligence applications in healthcare: Promoting information processing among stakeholders. - Luis Lämmermann; Peter Hofmann 001; Nils Urbach (Int. J. Inf. Manag., 2024)

The Impact of Resource Allocation on the Machine Learning Lifecycle. - Sebastian Duda; Peter Hofmann 001; Nils Urbach; Fabiane Völter; Amelie Zwickel (Bus. Inf. Syst. Eng., 2024)

Harmonisierung und integrative Implementierung traditioneller Geschäftsstrategien mit digitalen Transformationsinitiativen. - Valentin Mayer; Peter Hofmann 001; Tobias Guggenberger; Nils Urbach (Wirtschaftsinformatik Manag., 2024)

AI-enabled information systems: Teaming up with intelligent agents in networked business. - Peter Hofmann 001; Nils Urbach; Julia Lanzl; Kevin C. Desouza (Electron. Mark., 2024)

What Gets Measured Gets Improved: Monitoring Machine Learning Applications in Their Production Environments. - Dominik Protschky; Luis Lämmermann; Peter Hofmann 001; Nils Urbach (IEEE Access, 2025)