Augmenting medical diagnosis decisions? An investigation into physicians’ decision-making process with artificial intelligence E Jussupow, K Spohrer, A Heinzl, J Gawlitza Information Systems Research 32 (3), 713-735, 2021 | 269 | 2021 |
Why are we averse towards algorithms? A comprehensive literature review on algorithm aversion E Jussupow, I Benbasat, A Heinzl | 261 | 2020 |
Identity threats as a reason for resistance to artificial intelligence: survey study with medical students and professionals E Jussupow, K Spohrer, A Heinzl JMIR formative research 6 (3), e28750, 2022 | 42 | 2022 |
Good, bad, or both? Measurement of physician’s ambivalent attitudes towards AI SB Maier, E Jussupow, A Heinzl | 25 | 2019 |
Radiologists’ usage of diagnostic AI systems: The role of diagnostic self-efficacy for sensemaking from confirmation and disconfirmation E Jussupow, K Spohrer, A Heinzl Business & Information Systems Engineering 64 (3), 293-309, 2022 | 23 | 2022 |
Is this system biased?–How users react to gender bias in an explainable AI system E Jussupow, M Martínez, M MA, A Heinzl 42nd International Conference on Information Systems, 2021 | 11* | 2021 |
When AI joins the team: a literature review on intragroup processes and their effect on team performance in team-AI collaboration D Zercher, E Jussupow, A Heinzl | 10 | 2023 |
Why are we averse towards algorithms? A comprehensive literature review on algorithm aversion. Research Papers. 168 E Jussupow, I Benbasat, A Heinzl | 6 | 2020 |
AI CHANGES WHO WE ARE–DOESN’T IT? INTELLIGENT DECISION SUPPORT AND PHYSICIANS’PROFESSIONAL IDENTIY E Jussupow, K Spohrer, J Dibbern, A Heinzl | 6 | 2018 |
Designing a Mobile Application for Ad-Hoc Tumor Board Scheduling. O Aydinguel, E Jussupow, K Spohrer, A Heinzl ECIS, 70, 2018 | 2 | 2018 |
All just in your head? Unraveling the side effects of generative AI disclosure in creative task K Bauer, E Jussupow, R Heigl, B Vogt, O Hinz Unraveling the Side Effects of Generative AI Disclosure in Creative Task …, 2024 | 1 | 2024 |
How the application of machine learning systems changes business processes: A multiple case study PC Kunz, E Jussupow, K Spohrer, A Heinzl ECIS Research-in-Progress Papers 2022, 1-11, 2022 | 1 | 2022 |
I am; we are-conceptualizing professional identity threats from emerging technologies E Jussupow, K Spohrer, A Heinzl, C Link AISeL, 2018 | 1 | 2018 |
Study 2: All in your head? E Jussupow, B Vogt, R Heigl, K Bauer OSF, 2024 | | 2024 |
Understanding the underlying mechanisms of how AI advice influences medical decisions using think aloud protocols. S Gaube, E Jussupow OSF, 2023 | | 2023 |
Using eye tracking to understand the underlying mechanisms of how AI advice influences medical decision-making E Kokje, F Hauser, L Grabinger, J Mottok, E Jussupow, S Gaube OSF, 2023 | | 2023 |
When Every Minute Matters-Using Predictive Analytics of Intervention Durations to Support Hospital Scheduling. L Oberste, O Aydingül, E Jussupow, A Heinzl PACIS, 221, 2021 | | 2021 |
Three essays on the challenges of artificial intelligence in shifting expertise and decision making in medical work E Jussupow | | 2021 |
Advice taking artificial intelligence E Jussupow, I Benbasat OSF, 2019 | | 2019 |
Conceptualizing user choice as motivational factor in ad-hoc tumor board scheduling applications O Aydingül, E Jussupow, K Spohrer, A Heinzl Leuphana Universität Lüneburg 2, 671-682, 2018 | | 2018 |