Jessica Ochmann, M.Sc.

©Giulia Iannicelli/FAU
CV
Jessica Ochmann studied social economics at the Friedrich-Alexander-University Erlangen-Nuremberg from 2011 to 2014 and completed her Master in Marketing at the FAU in 2017. Since the combination of research and practice has always been very important to her, she also gained extensive practical experience in Global Marketing at Siemens AG. During an internship at Deutsche Telekom, she was also able to accompany the digital transformation of companies.
Following her master’s thesis entitled “Development and Evaluation of a Role Model in the Networking of Existing Production Systems to Build Data-Driven Business Models”, Jessica Ochmann decided to analyze the challenges posed by increasing digitization in greater depth and joined the Chair of Information Systems, especially Digitization in Business and Society as a doctoral student.
Her research focuses on the management of knowledge in the context of digitization. At the same time, she deals with E-HRM and the changes resulting from innovative technologies for recruiting.
2021
- Ochmann J., Zilker S., Laumer S.:
The evaluation of the black box problem for AI-based recommendations: An interview-based study
Proceedings of the 16. Internationale Tagung Wirtschaftsinformatik
BibTeX: Download
2020
- Laumer S., Ochmann J.:
Künstliche Intelligenz, Chatbots und Rekrutierung: Die Sicht der Kandidaten
(2020)
BibTeX: Download
(Techreport) - Ochmann J., Laumer S.:
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
BibTeX: Download - Ochmann J., Michels L., Zilker S., Tiefenbeck V., Laumer S.:
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
BibTeX: Download - Ochmann J., Zilker S., Laumer S.:
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
BibTeX: Download
2019
- Ochmann J., Laumer S.:
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
BibTeX: Download - Ochmann J., Laumer S., Franke J.:
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
BibTeX: Download
2018
- Koschate-Fischer N., Ochmann J.:
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
BibTeX: Download
- Jessica Ochmann, Sandra Zilker, Sven Laumer: Nominierung für Best Paper Awards (WI21 - 16. Internationale Tagung Wirtschaftsinformatik) – 2021