2023

Fecho, Mariska ; Zöll, Anne (2023)
The Power of Trust: Designing Trustworthy Machine Learning Systems in Healthcare.
International Conference on Information Systems. Hyderabad, India (10.12.2023-13.12.2023)
Konferenzveröffentlichung, Bibliographie

Vetter, Oliver A. ; Sturm, Timo ; Fecho, Mariska ; Buxmann, Peter (2023)
Machine Learning Developments as Stimuli for Organizational Learning.
International Conference on Information Systems (ICIS). Hyderabad, Indien (10.12.2023-13.12.2023)
Konferenzveröffentlichung, Bibliographie

Fecho, Mariska ; Wahl, Nihal (2023)
Organizational Adoption of Green Artificial Intelligence: An Institutional Perspective.
Pacific Asia Conference on Information Systems (PACIS). Nanchang, China (08.07.2023-12.07.2023)
Konferenzveröffentlichung, Bibliographie

2022

Pumplun, Luisa ; Wagner, Amina ; Störzinger, Tobias ; Fecho, Mariska ; Buxmann, Peter ; Misselhorn, Catrin (2022)
Empowering Citizen Science Through Digital Technologies: New Participatory Approaches to Data Collection, Sharing, and Analysis.
Mensch und Computer 22: Facing Realities.
Konferenzveröffentlichung, Bibliographie

Fecho, Mariska ; Wiefel, Jennifer (2022)
Trust Transfer towards Autonomous Vehicles: The Role of Vendor’s Innovativeness.
Pacific Asia Conference on Information Systems 2022. Taipei-Sydney (05.07.2022-09.07.2022)
Konferenzveröffentlichung, Bibliographie

2021

Pumplun, Luisa ; Fecho, Mariska ; Wahl, Nihal ; Peters, Felix ; Buxmann, Peter (2021)
Adoption of Machine Learning Systems for Medical Diagnostics in Clinics: A Qualitative Interview Study.
In: Journal of Medical Internet Research, 23 (10)
doi: 10.2196/29301
Artikel, Bibliographie

Pumplun, Luisa ; Fecho, Mariska ; Islam, Nihal ; Buxmann, Peter (2021)
Machine Learning Systems in Clinics – How Mature Is the Adoption Process in Medical Diagnostics?
54th Hawaii International Conference on System Sciences. virtual Conference (05.01.2021-08.01.2021)
Konferenzveröffentlichung, Bibliographie

Sturm, Timo ; Fecho, Mariska ; Buxmann, Peter (2021)
To Use or Not to Use Artificial Intelligence? A Framework for the Ideation and Evaluation of Problems to Be Solved with Artificial Intelligence.
54th Hawaii International Conference on System Sciences. virtual Conference (05.01.2021-08.01.2021)
Konferenzveröffentlichung, Bibliographie