Jonas Wanner

Orcid: 0000-0002-0118-7757

According to our database1, Jonas Wanner authored at least 24 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Bibliography

2023
Stop ordering machine learning algorithms by their explainability! A user-centered investigation of performance and explainability.
Int. J. Inf. Manag., April, 2023

A Taxonomy and Archetypes of Business Analytics in Smart Manufacturing.
ACM SIGMIS Database, February, 2023

2022
The effect of transparency and trust on intelligent system acceptance: Evidence from a user-based study.
Electron. Mark., December, 2022

A nascent design theory for explainable intelligent systems.
Electron. Mark., December, 2022

Artificial Intelligence for Human Decision-Makers: Systematization, Perception, and Adoption of Intelligent Decision Support Systems in Industry 4.0.
PhD thesis, 2022

Industry 4.0 Maintenance: An Examination of the Readiness of Germany's Industrial Sector.
Proceedings of the 24th IEEE Conference on Business Informatics, 2022

A Taxonomy of User-centered Explainable AI Studies.
Proceedings of the 26th Pacific Asia Conference on Information Systems, 2022

Applications and Challenges of Task Mining: A Literature Review.
Proceedings of the 30th European Conference on Information Systems, 2022

2021
Critical Success Factors for Process Modeling Projects - Analysis of Empirical Evidence.
Proceedings of the 25th Pacific Asia Conference on Information Systems, 2021

Stop Ordering Machine Learning Algorithms by Their Explainability! An Empirical Investigation of the Tradeoff Between Performance and Explainability.
Proceedings of the Responsible AI and Analytics for an Ethical and Inclusive Digitized Society, 2021

Adoption Barriers of AI: a Context-Specific Acceptance Model for Industrial Maintenance.
Proceedings of the 29th European Conference on Information Systems, 2021

I Don't Get IT, but IT seems Valid! The Connection between Explainability and Comprehensibility in (X)AI Research.
Proceedings of the 29th European Conference on Information Systems, 2021

Design Principles for Shared Maintenance Analytics in Fleet Management.
Proceedings of the Next Wave of Sociotechnical Design, 2021

Do you really want to know why? Effects of AI-based DSS Advice on Human Decisions.
Proceedings of the 27th Americas Conference on Information Systems, 2021

2020
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., 2020

A Moral Consensus Mechanism for Autonomous Driving: Towards a Law-compliant Basis of Logic Programming.
Proceedings of the Entwicklungen, 2020

How Much AI Do You Require? Decision Factors for Adopting AI Technology.
Proceedings of the 41st International Conference on Information Systems, 2020

White, Grey, Black: Effects of XAI Augmentation on the Confidence in AI-based Decision Support Systems.
Proceedings of the 41st International Conference on Information Systems, 2020

How Much is the Black Box? The Value of Explainability in Machine Learning Models.
Proceedings of the 28th European Conference on Information Systems, 2020

Bridging the Architectural Gap in Smart Homes Between User Control and Digital Automation.
Proceedings of the Designing for Digital Transformation. Co-Creating Services with Citizens and Industry, 2020

2019
Verwendung binärer Datenwerte für eine KI-gestützte Instandhaltung 4.0.
HMD Prax. Wirtsch., 2019

Machine Learning und Complex Event Processing: Effiziente Echtzeitauswertung am Beispiel Smart Factory.
Proceedings of the Human Practice. Digital Ecologies. Our Future. 14. Internationale Tagung Wirtschaftsinformatik (WI 2019), 2019

Two-Sided Digital Markets: Disruptive Chance Meets Chicken or Egg Causality Dilemma.
Proceedings of the 21st IEEE Conference on Business Informatics, 2019

Process Selection in RPA Projects - Towards a Quantifiable Method of Decision Making.
Proceedings of the 40th International Conference on Information Systems, 2019


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