A New Organizational Chassis for Artificial Intelligence - Exploring Organizational Readiness Factors. - Luisa Pumplun; Christoph Tauchert; Margareta Heidt (ECIS, 2019)

"Hello, I'm here to help you" - Medical care where it is needed most: Seniors' acceptance of health chatbots. - Neda Mesbah; Luisa Pumplun (ECIS, 2020)

Opening the Black Box: Consumer's Willingness to Pay for Transparency of Intelligent Systems. - Felix Peters; Luisa Pumplun; Peter Buxmann (ECIS, 2020)

Context-Aware Cyber-Physical Assistance Systems in Industrial Systems: A Human Activity Recognition Approach. - Elisa Roth; Mirco Möncks; Thomas Bohné; Luisa Pumplun (ICHMS, 2020)

Intelligent Systems and Hospitals: Joint Forces in the Name of Health? - Luisa Pumplun; Peter Buxmann (Wirtschaftsinformatik (Zentrale Tracks), 2020)

Machine Learning Systems in Clinics - How Mature Is the Adoption Process in Medical Diagnostics? - Luisa Pumplun; Mariska Fecho; Nihal Wahl-Islam; Peter Buxmann (HICSS, 2021)

Next Frontiers in Emergency Medical Services in Germany: Identifying Gaps between Academia and Practice. - Melanie Reuter-Oppermann; Clemens Wolff; Luisa Pumplun (HICSS, 2021)

Smart Car Service Adoption: Investigating the Role of Information Privacy. - Luisa Pumplun; Jennifer Wiefel; Katharina Wächter; Niklas Barth; Peter Buxmann (PACIS, 2021)

Coordinating Human and Machine Learning for Effective Organizational Learning. - Timo Sturm; Jin P. Gerlach; Luisa Pumplun; Neda Mesbah; Felix Peters; Christoph Tauchert; Ning Nan; Peter Buxmann (MIS Q., 2021)

What constitutes a machine-learning-driven business model? A taxonomy of B2B start-ups with machine learning at their core. - Oliver A. Vetter; Felix Sebastian Hoffmann; Luisa Pumplun; Peter Buxmann (ECIS, 2022)

Acting Egoistically in a Crisis: How Emotions Shape Data Donations. - Luisa Pumplun; Amina Wagner; Christian Olt; Anne Zöll; Peter Buxmann (HICSS, 2022)

Empowering Citizen Science Through Digital Technologies: New Participatory Approaches to Data Collection, Sharing, and Analysis. - Luisa Pumplun; Amina Wagner; Tobias Störzinger; Mariska Fecho; Peter Buxmann; Catrin Misselhorn (MuC (Workshopband), 2022)

Promoting Learning Through Explainable Artificial Intelligence: An Experimental Study in Radiology. - Sara Ellenrieder; Emma Marlene Kallina; Luisa Pumplun; Joshua Felix Gawlitza; Sebastian Ziegelmayer; Peter Buxmann (ICIS, 2023)

An Ambidextrous Perspective on Machine Learning Development and Operation: The Nexus of Organizational Structure, Tensions, and Tactics. - Oliver A. Vetter; Luisa Pumplun; Timo Koppe (PACIS, 2023)

Bringing Machine Learning Systems into Clinical Practice: A Design Science Approach to Explainable Machine Learning-Based Clinical Decision Support Systems. - Luisa Pumplun; Felix Peters; Joshua F. Gawlitza; Peter Buxmann (J. Assoc. Inf. Syst., 2023)

Gender disparities in esports - An explanatory mixed-methods approach. - Bastian Kordyaka; Luisa Pumplun; Marlies Brunnhofer; Björn Kruse; Samuli Laato (Comput. Hum. Behav., 2023)

Machine learning advice in managerial decision-making: The overlooked role of decision makers' advice utilization. - Timo Sturm; Luisa Pumplun; Jin P. Gerlach; Martin Kowalczyk; Peter Buxmann (J. Strateg. Inf. Syst., 2023)

A Design Science Approach Towards Fair Data Donation. - Luisa Pumplun; Amina Wagner; Timo Koppe; Melanie Reuter-Oppermann (ECIS, 2024)