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Jonas Wanner
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2020 – today
- 2023
- [j6]Jonas Wanner, Christopher Wissuchek, Giacomo Welsch, Christian Janiesch:
A Taxonomy and Archetypes of Business Analytics in Smart Manufacturing. ACM SIGMIS Database 54(1): 11-45 (2023) - [j5]Lukas-Valentin Herm, Kai Heinrich, Jonas Wanner, Christian Janiesch:
Stop ordering machine learning algorithms by their explainability! A user-centered investigation of performance and explainability. Int. J. Inf. Manag. 69: 102538 (2023) - 2022
- [b1]Jonas Wanner:
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 - [j4]Jonas Wanner, Lukas-Valentin Herm, Kai Heinrich, Christian Janiesch:
The effect of transparency and trust on intelligent system acceptance: Evidence from a user-based study. Electron. Mark. 32(4): 2079-2102 (2022) - [j3]Lukas-Valentin Herm, Theresa Steinbach, Jonas Wanner, Christian Janiesch:
A nascent design theory for explainable intelligent systems. Electron. Mark. 32(4): 2185-2205 (2022) - [c17]Alexander Mayr, Lukas-Valentin Herm, Jonas Wanner, Christian Janiesch:
Applications and Challenges of Task Mining: A Literature Review. ECIS 2022 - [c16]Lukas-Valentin Herm, Jonas Wanner, Christian Janiesch:
A Taxonomy of User-centered Explainable AI Studies. PACIS 2022: 9 - [c15]Jonas Wanner, Lukas-Valentin Herm, Christian Janiesch, Kevin Fuchs, Axel Winkelmann:
Industry 4.0 Maintenance: An Examination of the Readiness of Germany's Industrial Sector. CBI (1) 2022: 216-224 - [i2]Lukas-Valentin Herm, Kai Heinrich, Jonas Wanner, Christian Janiesch:
Stop ordering machine learning algorithms by their explainability! A user-centered investigation of performance and explainability. CoRR abs/2206.10610 (2022) - 2021
- [c14]Jonas Wanner:
Do you really want to know why? Effects of AI-based DSS Advice on Human Decisions. AMCIS 2021 - [c13]Christian Janiesch, Jonas Wanner, Lukas-Valentin Herm:
Design Principles for Shared Maintenance Analytics in Fleet Management. DESRIST 2021: 236-247 - [c12]Lukas-Valentin Herm, Jonas Wanner, Franz Seubert, Christian Janiesch:
I Don't Get IT, but IT seems Valid! The Connection between Explainability and Comprehensibility in (X)AI Research. ECIS 2021 - [c11]Jonas Wanner, Laurell Popp, Kevin Fuchs, Kai Heinrich, Lukas-Valentin Herm, Christian Janiesch:
Adoption Barriers of AI: a Context-Specific Acceptance Model for Industrial Maintenance. ECIS 2021 - [c10]Jonas Wanner, Lukas-Valentin Herm, Kai Heinrich, Christian Janiesch:
Stop Ordering Machine Learning Algorithms by Their Explainability! An Empirical Investigation of the Tradeoff Between Performance and Explainability. I3E 2021: 245-258 - [c9]Florian Imgrund, Lukas-Valentin Herm, Jonas Wanner, Christian Janiesch, Marcus Fischer, Axel Winkelmann:
Critical Success Factors for Process Modeling Projects - Analysis of Empirical Evidence. PACIS 2021: 201 - [i1]Jonas Wanner, Christopher Wissuchek, Giacomo Welsch, Christian Janiesch:
A Taxonomy and Archetypes of Business Analytics in Smart Manufacturing. CoRR abs/2110.06124 (2021) - 2020
- [j2]Jonas Wanner, Christopher Wissuchek, Christian Janiesch:
Machine Learning and Complex Event Processing. A Review of Real-time Data Analytics for the Industrial Internet of Things. Enterp. Model. Inf. Syst. Archit. Int. J. Concept. Model. 15: 1:1-1:27 (2020) - [c8]Lukas-Valentin Herm, Jonas Wanner, Christian Janiesch:
Bridging the Architectural Gap in Smart Homes Between User Control and Digital Automation. DESRIST 2020: 376-381 - [c7]Jonas Wanner, Lukas-Valentin Herm, Christian Janiesch:
How Much is the Black Box? The Value of Explainability in Machine Learning Models. ECIS 2020 - [c6]Jonas Wanner, Lukas-Valentin Herm, Kai Heinrich, Christian Janiesch, Patrick Zschech:
White, Grey, Black: Effects of XAI Augmentation on the Confidence in AI-based Decision Support Systems. ICIS 2020 - [c5]Jonas Wanner, Kai Heinrich, Christian Janiesch, Patrick Zschech:
How Much AI Do You Require? Decision Factors for Adopting AI Technology. ICIS 2020 - [c4]Jonas Wanner, Lukas-Valentin Herm, Marvin Langer, Florian Imgrund, Christian Janiesch:
A Moral Consensus Mechanism for Autonomous Driving: Towards a Law-compliant Basis of Logic Programming. Wirtschaftsinformatik (Zentrale Tracks) 2020: 17-32
2010 – 2019
- 2019
- [j1]Jonas Wanner, Lukas-Valentin Herm, Dennis Hartel, Christian Janiesch:
Verwendung binärer Datenwerte für eine KI-gestützte Instandhaltung 4.0. HMD Prax. Wirtsch. 56(6): 1268-1281 (2019) - [c3]Jonas Wanner, Adrian Hofmann, Marcus Fischer, Florian Imgrund, Christian Janiesch, Jerome Geyer-Klingeberg:
Process Selection in RPA Projects - Towards a Quantifiable Method of Decision Making. ICIS 2019 - [c2]Jonas Wanner, Carsten Bauer, Christian Janiesch:
Two-Sided Digital Markets: Disruptive Chance Meets Chicken or Egg Causality Dilemma. CBI (1) 2019: 335-344 - [c1]Jonas Wanner, Christopher Wissuchek, Christian Janiesch:
Machine Learning und Complex Event Processing: Effiziente Echtzeitauswertung am Beispiel Smart Factory. Wirtschaftsinformatik 2019: 47-61
Coauthor Index
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last updated on 2024-08-05 21:23 CEST by the dblp team
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