Luisa Pumplun

19 papers C 1Journal 4Unranked 14
YearRankTypeTitle / Venue / Authors
2025 — conf
Rethinking Knowledge Brokerage: A Case Study of a Large Language Model in R&D.
ECIS
Julian Wohlschlegel, Ekaterina Jussupow, Luisa Pumplun, Janek Dittrich
2024 — conf
A Design Science Approach Towards Fair Data Donation.
ECIS
Luisa Pumplun, Amina Wagner, Timo Koppe, Melanie Reuter-Oppermann
2023 — conf
An Ambidextrous Perspective on Machine Learning Development and Operation: The Nexus of Organizational Structure, Tensions, and Tactics.
PACIS
Oliver A. Vetter, Luisa Pumplun, Timo Koppe
2023 J jnl
Bringing Machine Learning Systems into Clinical Practice: A Design Science Approach to Explainable Machine Learning-Based Clinical Decision Support Systems.
J. Assoc. Inf. Syst.
Luisa Pumplun, Felix Peters, Joshua F. Gawlitza, Peter Buxmann
2023 J jnl
Gender disparities in esports - An explanatory mixed-methods approach.
Comput. Hum. Behav.
Bastian Kordyaka, Luisa Pumplun, Marlies Brunnhofer, Björn Kruse, Samuli Laato
2023 J jnl
Machine learning advice in managerial decision-making: The overlooked role of decision makers' advice utilization.
J. Strateg. Inf. Syst.
Timo Sturm, Luisa Pumplun, Jin P. Gerlach, Martin Kowalczyk, Peter Buxmann
2023 C conf
Promoting Learning Through Explainable Artificial Intelligence: An Experimental Study in Radiology.
ICIS
Sara Ellenrieder, Emma Marlene Kallina, Luisa Pumplun, Joshua Felix Gawlitza, Sebastian Ziegelmayer, Peter Buxmann
2022 — conf
Acting Egoistically in a Crisis: How Emotions Shape Data Donations.
HICSS
Luisa Pumplun, Amina Wagner, Christian Olt, Anne Zöll, Peter Buxmann
2022 — conf
Empowering Citizen Science Through Digital Technologies: New Participatory Approaches to Data Collection, Sharing, and Analysis.
MuC (Workshopband)
Luisa Pumplun, Amina Wagner, Tobias Störzinger, Mariska Fecho, Peter Buxmann, Catrin Misselhorn
2022 — conf
What constitutes a machine-learning-driven business model? A taxonomy of B2B start-ups with machine learning at their core.
ECIS
Oliver A. Vetter, Felix Sebastian Hoffmann, Luisa Pumplun, Peter Buxmann
2021 J jnl
Coordinating Human and Machine Learning for Effective Organizational Learning.
MIS Q.
Timo Sturm, Jin P. Gerlach, Luisa Pumplun, Neda Mesbah, Felix Peters, Christoph Tauchert, Ning Nan, Peter Buxmann
2021 — conf
Machine Learning Systems in Clinics - How Mature Is the Adoption Process in Medical Diagnostics?
HICSS
Luisa Pumplun, Mariska Fecho, Nihal Wahl-Islam, Peter Buxmann
2021 — conf
Next Frontiers in Emergency Medical Services in Germany: Identifying Gaps between Academia and Practice.
HICSS
Melanie Reuter-Oppermann, Clemens Wolff, Luisa Pumplun
2021 — conf
Smart Car Service Adoption: Investigating the Role of Information Privacy.
PACIS
Luisa Pumplun, Jennifer Wiefel, Katharina Wächter, Niklas Barth, Peter Buxmann
2020 — conf
"Hello, I'm here to help you" - Medical care where it is needed most: Seniors' acceptance of health chatbots.
ECIS
Neda Mesbah, Luisa Pumplun
2020 — conf
Context-Aware Cyber-Physical Assistance Systems in Industrial Systems: A Human Activity Recognition Approach.
ICHMS
Elisa Roth, Mirco Möncks, Thomas Bohné, Luisa Pumplun
2020 — conf
Intelligent Systems and Hospitals: Joint Forces in the Name of Health?
Wirtschaftsinformatik (Zentrale Tracks)
Luisa Pumplun, Peter Buxmann
2020 — conf
Opening the Black Box: Consumer's Willingness to Pay for Transparency of Intelligent Systems.
ECIS
Felix Peters, Luisa Pumplun, Peter Buxmann
2019 — conf
A New Organizational Chassis for Artificial Intelligence - Exploring Organizational Readiness Factors.
ECIS
Luisa Pumplun, Christoph Tauchert, Margareta Heidt