Process Selection in RPA Projects - Towards a Quantifiable Method of Decision Making. - Jonas Wanner; Adrian Hofmann; Marcus Fischer; Florian Imgrund; Christian Janiesch; Jerome Geyer-Klingeberg (ICIS, 2019)

Two-Sided Digital Markets: Disruptive Chance Meets Chicken or Egg Causality Dilemma. - Jonas Wanner; Carsten Bauer; Christian Janiesch (CBI (1), 2019)

Machine Learning und Complex Event Processing: Effiziente Echtzeitauswertung am Beispiel Smart Factory. - Jonas Wanner; Christopher Wissuchek; Christian Janiesch (Wirtschaftsinformatik, 2019)

Verwendung binärer Datenwerte für eine KI-gestützte Instandhaltung 4.0. - Jonas Wanner; Lukas-Valentin Herm; Dennis Hartel; Christian Janiesch (HMD Prax. Wirtsch., 2019)

Bridging the Architectural Gap in Smart Homes Between User Control and Digital Automation. - Lukas-Valentin Herm; Jonas Wanner; Christian Janiesch (DESRIST, 2020)

How Much is the Black Box? The Value of Explainability in Machine Learning Models. - Jonas Wanner; Lukas-Valentin Herm; Christian Janiesch (ECIS, 2020)

White, Grey, Black: Effects of XAI Augmentation on the Confidence in AI-based Decision Support Systems. - Jonas Wanner; Lukas-Valentin Herm; Kai Heinrich; Christian Janiesch; Patrick Zschech (ICIS, 2020)

How Much AI Do You Require? Decision Factors for Adopting AI Technology. - Jonas Wanner; Kai Heinrich; Christian Janiesch; Patrick Zschech (ICIS, 2020)

A Moral Consensus Mechanism for Autonomous Driving: Towards a Law-compliant Basis of Logic Programming. - Jonas Wanner; Lukas-Valentin Herm; Marvin Langer; Florian Imgrund; Christian Janiesch (Wirtschaftsinformatik (Zentrale Tracks), 2020)

Machine Learning and Complex Event Processing. A Review of Real-time Data Analytics for the Industrial Internet of Things. - Jonas Wanner; Christopher Wissuchek; Christian Janiesch (Enterp. Model. Inf. Syst. Archit. Int. J. Concept. Model., 2020)

Do you really want to know why? Effects of AI-based DSS Advice on Human Decisions. - Jonas Wanner (AMCIS, 2021)

Design Principles for Shared Maintenance Analytics in Fleet Management. - Christian Janiesch; Jonas Wanner; Lukas-Valentin Herm (DESRIST, 2021)

I Don't Get IT, but IT seems Valid! The Connection between Explainability and Comprehensibility in (X)AI Research. - Lukas-Valentin Herm; Jonas Wanner; Franz Seubert; Christian Janiesch (ECIS, 2021)

Adoption Barriers of AI: a Context-Specific Acceptance Model for Industrial Maintenance. - Jonas Wanner; Laurell Popp; Kevin Fuchs; Kai Heinrich; Lukas-Valentin Herm; Christian Janiesch (ECIS, 2021)

Stop Ordering Machine Learning Algorithms by Their Explainability! An Empirical Investigation of the Tradeoff Between Performance and Explainability. - Jonas Wanner; Lukas-Valentin Herm; Kai Heinrich; Christian Janiesch (I3E, 2021)

Critical Success Factors for Process Modeling Projects - Analysis of Empirical Evidence. - Florian Imgrund; Lukas-Valentin Herm; Jonas Wanner; Christian Janiesch; Marcus Fischer; Axel Winkelmann (PACIS, 2021)

Applications and Challenges of Task Mining: A Literature Review. - Alexander Mayr; Lukas-Valentin Herm; Jonas Wanner; Christian Janiesch (ECIS, 2022)

A Taxonomy of User-centered Explainable AI Studies. - Lukas-Valentin Herm; Jonas Wanner; Christian Janiesch (PACIS, 2022)

Industry 4.0 Maintenance: An Examination of the Readiness of Germany's Industrial Sector. - Jonas Wanner; Lukas-Valentin Herm; Christian Janiesch; Kevin Fuchs; Axel Winkelmann (CBI (1), 2022)

Artificial Intelligence for Human Decision-Makers: Systematization, Perception, and Adoption of Intelligent Decision Support Systems in Industry 4.0. - Jonas Wanner (2022)

A nascent design theory for explainable intelligent systems. - Lukas-Valentin Herm; Theresa Steinbach; Jonas Wanner; Christian Janiesch (Electron. Mark., 2022)

The effect of transparency and trust on intelligent system acceptance: Evidence from a user-based study. - Jonas Wanner; Lukas-Valentin Herm; Kai Heinrich; Christian Janiesch (Electron. Mark., 2022)

A Taxonomy and Archetypes of Business Analytics in Smart Manufacturing. - Jonas Wanner; Christopher Wissuchek; Giacomo Welsch; Christian Janiesch (ACM SIGMIS Database, 2023)

Stop ordering machine learning algorithms by their explainability! A user-centered investigation of performance and explainability. - Lukas-Valentin Herm; Kai Heinrich; Jonas Wanner; Christian Janiesch (Int. J. Inf. Manag., 2023)