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Lukas-Valentin Herm
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Stop ordering machine learning algorithms by their explainability! A user-centered investigation of performance and explainability
LV Herm, K Heinrich, J Wanner, C Janiesch
International Journal of Information Management 69, 102538, 2023
1832023
The effect of transparency and trust on intelligent system acceptance: Evidence from a user-based study
J Wanner, LV Herm, K Heinrich, C Janiesch
Electronic Markets 32 (4), 2079-2102, 2022
1822022
A framework for implementing robotic process automation projects
LV Herm, C Janiesch, A Helm, F Imgrund, A Hofmann, A Winkelmann
Information Systems and E-Business Management 21, 1-35, 2023
1502023
A consolidated framework for implementing robotic process automation projects
LV Herm, C Janiesch, A Helm, F Imgrund, K Fuchs, A Hofmann, ...
International Conference on Business Process Management, 471-488, 2020
792020
Impact Of Explainable AI On Cognitive Load: Insights From An Empirical Study
LV Herm
European Conference on Information Systems, 2023
672023
From symbolic RPA to intelligent RPA: challenges for developing and operating intelligent software robots
LV Herm, C Janiesch, HA Reijers, F Seubert
International conference on business process management, 289-305, 2021
652021
White, Grey, Black: Effects of XAI Augmentation on the Confidence in AI-based Decision Support Systems
J Wanner, LV Herm, K Heinrich, C Janiesch, P Zschech
International Conference on Information Systems (ICIS), 2020
502020
I Don’t Get It, but It Seems Valid! The Connection Between Explainability and Comprehensibility in (X)AI Research
LV Herm, J Wanner, F Seubert, C Janiesch
European Conference on Information Systems (2021), 2021
412021
A nascent design theory for explainable intelligent systems
LV Herm, T Steinbach, J Wanner, C Janiesch
Electronic Markets 32 (4), 2185–2205, 2022
332022
How Much Is the Black Box? The Value of Explainability in Machine Learning Models
J Wanner, LV Herm, C Janiesch
European Conference on Information Systems (ECIS), 2020
292020
A social evaluation of the perceived goodness of explainability in machine learning
J Wanner, LV Herm, K Heinrich, C Janiesch
Journal of Business Analytics 5 (1), 29-50, 2022
272022
Stop ordering machine learning algorithms by their explainability! An empirical investigation of the tradeoff between performance and explainability
J Wanner, LV Herm, K Heinrich, C Janiesch
Conference on e-Business, e-Services and e-Society, 245-258, 2021
272021
A framework of cost drivers for robotic process automation projects
B Axmann, H Harmoko, LV Herm, C Janiesch
International Conference on Business Process Management, 7-22, 2021
272021
Adoption Barriers of AI: A context-specific acceptance model for industrial maintenance
J Wanner, L Popp, K Fuchs, K Heinrich, LV Herm, C Janiesch
European Conference on Information Systems (2021), 2021
192021
Towards an Implementation of Blockchain-based Collaboration Platforms in Supply Chain Networks: A Requirements Analysis
LV Herm, C Janiesch
Hawaii International Conference on System Sciences, 2021
152021
Countering the fear of black-boxed AI in maintenance: towards a smart colleague
J Wanner, LV Herm, C Janiesch
Pre-ICIS SIGDSA Symposium, 13, 2019
132019
Der Einfluss von menschlichen Denkmustern auf künstliche Intelligenz–Eine strukturierte Untersuchung von kognitiven Verzerrungen
LV Herm, C Janiesch, P Fuchs
HMD Praxis der Wirtschaftsinformatik 59 (2), 556-571, 2022
122022
Applications and Challenges of Task Mining: A Literature Review
A Mayr, LV Herm, J Wanner, C Janiesch
European Conference on Information Systems, 2022
122022
Managing RPA implementation projects - A framework applied at SYSTHEMIS AG
LV Herm, C Janiesch, T Steinbach, D Wüllner
Robotic Process Automation, 27-46, 2021
122021
A Taxonomy of User-centered Explainable AI Studies
LV Herm, J Wanner, C Janiesch
Pacific Asia Conference on Information Systems, 2022
102022
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