Author of the publication

Adoption Barriers of AI: A Context-Specific Acceptance Model for Industrial Maintenance

, , , , and . 29h European Conference on Information Systems (ECIS), page 1-13. AIS Virtual Conference Series, AIS, (2021)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Artificial Intelligence for Human Decision-Makers: Systematization, Perception, and Adoption of Intelligent Decision Support Systems in Industry 4.0.. Julius Maximilians University Würzburg, Germany, (2022)A Social Evaluation of the Perceived Goodness of Explainability in Machine Learning, , , and . Journal of Business Analytics, 5 (1): 29-50 (2022)The Effect of Transparency and Trust on Intelligent System Acceptance: Evidence from a User-based Study, , , and . Electronic Markets, 32 (4): 2185-2205 (2022)Stop Ordering Machine Learning Algorithms by their Explainability! A User-Centered Investigation of Performance and Explainability, , , and . International Journal of Information Management, (2023)A Moral Consensus Mechanism for Autonomous Driving: Towards a Law-compliant Basis of Logic Programming., , , , and . Wirtschaftsinformatik (Zentrale Tracks), page 17-32. GITO Verlag, (2020)Design Principles for Shared Maintenance Analytics in Fleet Management., , and . DESRIST, volume 12807 of Lecture Notes in Computer Science, page 236-247. Springer, (2021)Stop Ordering Machine Learning Algorithms by Their Explainability! An Empirical Investigation of the Tradeoff Between Performance and Explainability., , , and . I3E, volume 12896 of Lecture Notes in Computer Science, page 245-258. Springer, (2021)Industry 4.0 Maintenance: An Examination of the Readiness of Germany's Industrial Sector., , , , and . CBI (1), page 216-224. IEEE, (2022)Critical Success Factors for Process Modeling Projects - Analysis of Empirical Evidence., , , , , and . PACIS, page 201. (2021)Applications and Challenges of Task Mining: A Literature Review., , , and . ECIS, (2022)