Peter Hofmann

According to our database, Peter Hofmann authored at least 15 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

AI-enabled information systems: Teaming up with intelligent agents in networked business.

Peter Hofmann, Nils Urbach, Julia Lanzl, Kevin C. Desouza

Electron. Mark., December, 2024

The Impact of Resource Allocation on the Machine Learning Lifecycle.

Sebastian Duda, Peter Hofmann, Nils Urbach, Fabiane Völter, Amelie Zwickel

Bus. Inf. Syst. Eng., April, 2024

Managing artificial intelligence applications in healthcare: Promoting information processing among stakeholders.

Luis Lämmermann, Peter Hofmann, Nils Urbach

Int. J. Inf. Manag., 2024

2023

Reporting in large-scale agile organizations: insights and recommendations from a case study in software development.

Moritz Schüll, Peter Hofmann, Pascal Philipp, Nils Urbach

Inf. Syst. E Bus. Manag., September, 2023

Task delegation from AI to humans: A principal-agent perspective.

Tobias Guggenberger, Luis Lämmermann, Nils Urbach, Anna Michaela Walter, Peter Hofmann

Proceedings of the 44th International Conference on Information Systems, 2023

2022

Fairness, integrity, and privacy in a scalable blockchain-based federated learning system.

Timon Rückel, Johannes Sedlmeir, Peter Hofmann

Comput. Networks, 2022

How Can Organizations Design Purposeful Human-AI Interactions: A Practical Perspective From Existing Use Cases and Interviews.

Silvana Hinsen, Peter Hofmann, Jan Jöhnk, Nils Urbach

Proceedings of the 55th Hawaii International Conference on System Sciences, 2022

2021

Designing and Managing Artificial Intelligence-Enabled Information Systems

Peter Hofmann

PhD thesis, 2021

Data-driven Applications to Foster Absorptive Capacity: A Literature-based Conceptualization.

Peter Hofmann, Philipp Stähle, Christoph Buck, Harald Thorwarth

Proceedings of the 54th Hawaii International Conference on System Sciences, 2021

Innovating with Artificial Intelligence: Capturing the Constructive Functional Capabilities of Deep Generative Learning.

Peter Hofmann, Timon Rückel, Nils Urbach

Proceedings of the 54th Hawaii International Conference on System Sciences, 2021

Gateways to Artificial Intelligence: Developing a Taxonomy for AI Service Platforms.

Flora Geske, Peter Hofmann, Luis Lämmermann, Vincent Schlatt, Nils Urbach

Proceedings of the 29th European Conference on Information Systems, 2021

2020

KI-Anwendungsfälle zielgerichtet identifizieren.

Peter Hofmann, Jan Jöhnk, Dominik Protschky, Philipp Stähle, Nils Urbach, Christoph Buck

Wirtschaftsinformatik Manag., 2020

Robotic process automation.

Peter Hofmann, Caroline Samp, Nils Urbach

Electron. Mark., 2020

Developing Purposeful AI Use Cases - A Structured Method and Its Application in Project Management.

Peter Hofmann, Jan Jöhnk, Dominik Protschky, Nils Urbach

Proceedings of the Entwicklungen, 2020

2019

Machine Learning Approaches along the Radiology Value Chain - Rethinking Value Propositions.

Peter Hofmann, Severin Oesterle, Paul Rust, Nils Urbach

Proceedings of the 27th European Conference on Information Systems, 2019