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2020 – today
- 2024
[c8]Mariska Fecho, Nihal Wahl, Anette von Ahsen, Oliver A. Vetter:
Paving the Way to a Green Future With Artificial Intelligence - Exploring Organizational Adoption Factors. HICSS 2024: 821-830- 2023
- [c7]Maren F. Mehler, Oliver A. Vetter:
How Much Are Machine Assistants Worth? Willingness to Pay for Machine Learning-Based Software Testing. ECIS 2023 - [c6]Oliver A. Vetter, Maren F. Mehler, Peter Buxmann:
As Much Art as Science - Examining the Realization of Business Models Driven by Machine Learning Through a Dynamic Capabilities Perspective. ECIS 2023 - [c5]Oliver A. Vetter, Timo Sturm, Mariska Fecho, Peter Buxmann:
Machine Learning Developments as Stimuli for Organizational Learning. ICIS 2023 - [c4]Oliver A. Vetter, Luisa Pumplun, Timo Koppe:
An Ambidextrous Perspective on Machine Learning Development and Operation: The Nexus of Organizational Structure, Tensions, and Tactics. PACIS 2023: 40 - [c3]Miriam Gräf, Anne Zöll, Nihal Wahl, Sara Ellenrieder, Florentina Hager, Timo Sturm, Oliver A. Vetter:
Designing the Organizational Metaverse for Effective Socialization. PACIS 2023: 46 - [c2]Oliver A. Vetter, Alexander Efremov:
A User-Centric Approach to Explainable AI in Corporate Performance Management. PACIS 2023: 70 - 2022
- [c1]Oliver A. Vetter, Felix Sebastian Hoffmann, Luisa Pumplun, Peter Buxmann:
What constitutes a machine-learning-driven business model? A taxonomy of B2B start-ups with machine learning at their core. ECIS 2022
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