Luisa Pumplun
Luisa Pumplun
Data science at Merck Group; former Postdoc at Software & Digital Business Group, Technical
Verified email at - Homepage
Cited by
Cited by
A new organizational chassis for artificial intelligence-exploring organizational readiness factors
L Pumplun, C Tauchert, M Heidt
Coordinating Human and Machine Learning for Effective Organizational Learning.
T Sturm, JP Gerlach, L Pumplun, N Mesbah, F Peters, C Tauchert, N Nan, ...
MIS quarterly 45 (3), 2021
Adoption of machine learning systems for medical diagnostics in clinics: qualitative interview study
L Pumplun, M Fecho, N Wahl, F Peters, P Buxmann
Journal of Medical Internet Research 23 (10), e29301, 2021
Context-aware cyber-physical assistance systems in industrial systems: A human activity recognition approach
E Roth, M Möncks, T Bohné, L Pumplun
2020 IEEE International Conference on Human-Machine Systems (ICHMS), 1-6, 2020
Machine learning systems in clinics–how mature is the adoption process in medical diagnostics?
L Pumplun, M Fecho, N Wahl-Islam, P Buxmann
Opening the Black Box: Consumer's Willingness to Pay for Transparency of Intelligent Systems
F Peters, L Pumplun, P Buxmann
Hello, I'm here to help you
N Mesbah, L Pumplun
medical care where it is needed most: seniors’ acceptance of health chatbots …, 2020
& Buxmann, P.(2021). Coordinating Human and Machine Learning for Effective Organizational Learning
T Sturm, JP Gerlach, L Pumplun, N Mesbah, F Peters, C Tauchert
MIS quarterly 45 (3), 0
Bringing machine learning systems into clinical practice: A design science approach to explainable machine learning-based clinical decision support systems
L Pumplun, F Peters, JF Gawlitza, P Buxmann
Journal of the Association for Information Systems 24 (4), 953-979, 2023
What constitutes a machine-learning-driven business model? A taxonomy of B2B start-ups with machine learning at their core
OA Vetter, FS Hoffmann, L Pumplun, P Buxmann
“Hello, I'm here to help you”–Medical care where it is needed most: Seniors’ acceptance of health chatbots
N Mesbah, L Pumplun
Machine learning advice in managerial decision-making: The overlooked role of decision makers’ advice utilization
T Sturm, L Pumplun, JP Gerlach, M Kowalczyk, P Buxmann
The Journal of Strategic Information Systems 32 (4), 101790, 2023
Künstliche Intelligenz im Enterprise Service Management
A Engelbrecht, L Pumplun, C Bauer, K Vida
Künstliche Intelligenz: Mit Algorithmen zum wirtschaftlichen Erfolg, 149-163, 2021
Subjective Decisions in Developing Augmented Intelligence
T Bohné, LT Brokop, JN Engel, L Pumplun
Judgment in Predictive Analytics, 27-52, 2023
Next Frontiers in Emergency Medical Services in Germany: Identifying Gaps between Academia and Practice
M Reuter-Oppermann, C Wolff, L Pumplun
Acting Egoistically in a Crisis: How Emotions Shape Data Donations
L Pumplun, A Wagner, C Olt, A Zöll, P Buxmann
Intelligent Systems and Hospitals: Joint Forces in the Name of Health?
L Pumplun, P Buxmann
Wirtschaftsinformatik (Zentrale Tracks), 680-686, 2020
Smart Car Service Adoption: Investigating the Role of Information Privacy.
L Pumplun, J Wiefel, K Wächter, N Barth, P Buxmann
PACIS, 60, 2021
A Design Science Approach Towards Fair Data Donation
L Pumplun, A Wagner, T Koppe, M Reuter-Oppermann
Promoting Learning Through Explainable Artificial Intelligence: An Experimental Study in Radiology
S Ellenrieder, EM Kallina, L Pumplun, JF Gawlitza, S Ziegelmayer, ...
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