Oliver A. Vetter

According to our database, Oliver A. Vetter authored at least 9 papers between 2022 and 2024.

Collaborative distances:

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

2024

New Game, New Rules? Investor Ecosystem Effects on AI Startup Success.

Paul-Christoph Altunay, Oliver A. Vetter

Proceedings of the 45th International Conference on Information Systems, 2024

Paving the Way to a Green Future With Artificial Intelligence - Exploring Organizational Adoption Factors.

Mariska Fecho, Nihal Wahl, Anette von Ahsen, Oliver A. Vetter

Proceedings of the 57th Hawaii International Conference on System Sciences, 2024

2023

An Ambidextrous Perspective on Machine Learning Development and Operation: The Nexus of Organizational Structure, Tensions, and Tactics.

Oliver A. Vetter, Luisa Pumplun, Timo Koppe

Proceedings of the 27th Pacific Asia Conference on Information Systems, 2023

A User-Centric Approach to Explainable AI in Corporate Performance Management.

Oliver A. Vetter, Alexander Efremov

Proceedings of the 27th Pacific Asia Conference on Information Systems, 2023

Designing the Organizational Metaverse for Effective Socialization.

Miriam Gräf, Anne Zöll, Nihal Wahl, Sara Ellenrieder, Florentina Hager, Timo Sturm, Oliver A. Vetter

Proceedings of the 27th Pacific Asia Conference on Information Systems, 2023

Machine Learning Developments as Stimuli for Organizational Learning.

Oliver A. Vetter, Timo Sturm, Mariska Fecho, Peter Buxmann

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

As Much Art as Science - Examining the Realization of Business Models Driven by Machine Learning Through a Dynamic Capabilities Perspective.

Oliver A. Vetter, Maren F. Mehler, Peter Buxmann

Proceedings of the 31st European Conference on Information Systems, 2023

How Much Are Machine Assistants Worth? Willingness to Pay for Machine Learning-Based Software Testing.

Maren F. Mehler, Oliver A. Vetter

Proceedings of the 31st European Conference on Information Systems, 2023

2022

What constitutes a machine-learning-driven business model? A taxonomy of B2B start-ups with machine learning at their core.

Oliver A. Vetter, Felix Sebastian Hoffmann, Luisa Pumplun, Peter Buxmann

Proceedings of the 30th European Conference on Information Systems, 2022