Jessica Ochmann, M.Sc.
CV
Jessica Ochmann studied social economics at FAU (2011 – 2014) and holds a M.Sc. in Marketing from FAU (2014 – 2017).
Next to her studies, she gained practical experience as a working student for Siemens in the Marketing Intelligence department and as an IT consulting intern at Deutsche Telekom. In her thesis internship at T-Systems Multimedia Solutions, she applied her academic knowledge in an IT business context and developed a business transformation framework.
Following this approach of conducting impactful research at the intersection of academia and practice, she is currently interested in the behavioral effects of implementing disruptive novel technologies such as artificial intelligence (AI) in organizations. Her work focuses, in particular, on the acceptance of AI-based decision-making and the ethical dimensions of human-AI interaction. In addition, she works on digital nudging in the consumer and organizational domain and investigates the impact of different nudging approaches on human behavior and fairness perceptions.
Publications
2022
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Empowering Consumers to Make Environmentally Sustainable Online Shopping Decisions: A Digital Nudging Approach
HICSS 2022 (, 3. January 2022 - 7. January 2022)
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The Acceptance of AI-based Recommendations: An Elaboration Likelihood Perspective
17. Internationale Tagung Wirtschaftsinformatik (, 21. February 2022 - 23. February 2022)
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Just like you like it - The effects of transparency and decision outcome on the evaluation of human and algorithmic decision-making.
17. Internationale Tagung Wirtschaftsinformatik (Nürnberg, 21. February 2022 - 23. February 2022)
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2021
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Is It All About Transparency? The Effectiveness and Ethics of a Digital Salience Nudge
Proceedings of the 2021 European Conference on Information Systems (Marrackech, Morocco, 14. June 2021 - 16. June 2021)
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The evaluation of the black box problem for AI-based recommendations: An interview-based study
Proceedings of the 16. Internationale Tagung Wirtschaftsinformatik
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2020
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Künstliche Intelligenz, Chatbots und Rekrutierung: Die Sicht der Kandidaten
(2020)
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(Techreport) - , :
AI Recruitment: Explaining job seekers' acceptance of automation in human resource management
15th International Conference on Wirtschaftsinformatik (Potsdam, 8. March 2020 - 11. March 2020)
In: Proceedings of the 15th International Conference on Wirtschaftsinformatik 2020
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The influence of algorithm aversion and anthropomorphic agent design on the acceptance of AI-based job recommendations
Proceedings of the 41st International Conference on Information Systems (ICIS) (Hyderabad, Indien)
In: International Conference on Information Systems (ICIS) (ed.): Proceedings of the 41st International Conference on Information Systems (ICIS) 2020
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Job Seekers' Artificial Intelligence-related Black Box Concerns
Proceedings of the 2020 on Computers and People Research Conference (SIGMIS-CPR'20). (New York, NY, USA,)
In: Association for Computing Machinery (ed.): Proceedings of the 2020 on Computers and People Research Conference 2020
DOI: 10.1145/3378539.3393841
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2019
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Fairness as a determinant of AI Adoption in Recruiting: An interview-based study
DIGIT 2019 (München, 15. December 2019 - 15. December 2019)
In: Proceedings of DIGIT 2019 2019
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The power of knowledge: A literature review on socio-technical perspectives on organizational knowledge management
Proceedings of the 2019 Americas Conference on Information Systems (Cancun, Mexico)
In: Americas Conference on Information Systems (AMCIS) (ed.): Proceedings of the 2019 Americas Conference on Information Systems 2019
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2018
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Erlösmodelle für datenzentrische Dienstleistungen
In: Manfred Bruhn, Karsten Hadwich (ed.): Service Business Development: Methoden-Erlösmodelle-Marketinginstrumente, Wiesbaden: Springer Gabler, 2018, p. 169-186
DOI: 10.1007/978-3-658-22424-0_8
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Awards
- : HERMANN-GUTMANN-PREIS 2021 für besondere wisschenschaftliche Leistungen (Friedrich-Alexander-Universität Erlangen-Nürnberg) – 2021
- , , , , : Best Full Research Paper - Runner-up award (European Conference on Information Systems (ECIS)) – 2021
- , , : Nominierung für Best Paper Awards (WI21 - 16. Internationale Tagung Wirtschaftsinformatik) – 2021