Univ.-Prof. Dipl.-Wirt.-Inf. Dr. Stefan Thalmann
He is professor for business analytics and data science at the University of Graz. Prof. Thalmann is the director of the Center for Business Analytics and Data Science and leads the Information Systems group of the Institute for Operations and Information Systems. Stefan Thalmann holds a habilitation degree (venia legendi), a Ph.D. in Information Systems from the Universtity of Innsbruck and a master’s degree in information systems from the Martin Luther University of Halle-Wittenberg. During his academic career, he was employed at the Martin-Luther-University of Halle-Wittenberg (Germany), Graz University of Technology (Austria), the University of Innsbruck (Austria), the Free University of Bolzano (Italy) and the FH Kufstein (Austria). He worked as AREA manager for the Pro2Future GmbH and as senior researcher for the Know-Center GmbH. Further, he was a visiting researcher at the Learning Technology Research Institute of the London Metropolitan University (UK) and at the Information Technology Research Institute of the University of Jyväskylä (Finland).
Prof. Thalmann´s research interests include Business Analytics, Data Driven Decision Support, Adoption and Auditing of AI, Explainable AI and Knowledge Protection.
Links:
- https://at.linkedin.com/in/stefan-thalmann-3b076785
- https://www.researchgate.net/profile/Stefan_Thalmann
- https://scholar.google.com/citations?user=NBCVqm4AAAAJ&hl=en
- https://www.xing.com/profile/Stefan_Thalmann
Short-CV
Since 2018 | Professor for Business Analytics and Data Science at the Karl-Franzens University of Graz. |
2016 - 2018 | Assistant professor at the Graz University of Technology, Institute for Interactive Systems and Data Science. |
2017 - 2018 | Area manager for the area “Cognitive Decision Support” at the Comet Competence Center “Pro2Future”. |
2016 - 2018 | Senior researcher at the Comet Competence Center “Know Center”. |
2011 - 2018 | Lecturer at University of applied sciences Kufstein Tirol, Austria, for Knowledge Management in the master program „Enterprise Resource Planning Systems and Business Process Management”. |
2011 - 2017 | Assistant professor at the University of Innsbruck, School of Management, Department of Information Systems, Production and Logistics Management, Information Systems. |
2012 - 2014 | Contract professor at the Free University of Bolzano, Italy for „Data and Information Management“ in the bachelor program “Tourism, Sport and Event Management”. |
2007 - 2011 | Research assistant at the University of Innsbruck, School of Management, Department of Information Systems, Production and Logistics Management, Information Systems. |
2011 | Visiting researcher at the University of Jyväskylä (Finnland). |
2008 | Visiting researcher at the London Metropolitan University (UK). |
2006 - 2007 | Research assistant at the Martin-Luther-University, Halle-Wittenberg, Chair for Information Systems, Information Management. |
Projekte und Publikationen
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Otrel-Cass, Kathrin Marie
Cybersecurity-Kompetenz-Entwicklung für Jugendliche mithilfe intelligenter Lernsoftware
Laufzeit: 01.01.2020 - 31.03.2022GeldgeberIn: Länder (inkl. deren Stiftungen und Einrichtungen)
Drittmittelprojekt (§§ 26-28 UG) (abgeschlossen) -
DIGITAL? SICHER!
Laufzeit: 01.01.2020 - 31.03.2022 GeldgeberIn: Länder (inkl. deren Stiftungen und Einrichtungen)
Weiteres Projekt (abgeschlossen) > Drittmittelprojekt -
Thalmann, Stefan; Ilvonen, Ilona
Why Should We Investigate Knowledge Risks Incidents? - Lessons from Four Cases..
In: Hawaii International Conference on System Sciences (Hg.): Proceedings of the 53rd Hawaii International Conference on System Sciences | 2020. . Scholar Space. 2020. 4940-4949..
Forschung: Beitrag in Sammelwerk/Buch > Originalbeitrag/Fachbeitrag -
Suschnigg, Josef; Ziessler, Florian; Brillinger, Markus; Vukovic, Matej; Mangler, Jürgen; Schreck, Tobias; Thalmann, Stefan
Industrial Production Process Improvement by a Process Engine Visual Analytics Dashboard..
In: Hawaii International Conference on System Sciences (Hg.): Proceedings of the 53rd Hawaii International Conference on System Sciences | 2020. . Scholar Space. 2020. 1320-1329..
Forschung: Beitrag in Sammelwerk/Buch > Originalbeitrag/Fachbeitrag -
Thalmann, Stefan, Fessl, Angela; Pammer-Schindler, Viktoria
How Large Manufacturing Firms Understand the Impact of Digitization: A Learning Perspective..
In: Hawaii International Conference on System Sciences (Hg.): Proceedings of the 53rd Hawaii International Conference on System Sciences | 2020. . Scholar Space. 2020. 4806-4815..
Forschung: Beitrag in Sammelwerk/Buch > Originalbeitrag/Fachbeitrag -
Zeiringer, Johannes und Thalmann, Stefan
Knowledge Risks in Digital Supply Chains: A Literature Review . Berlin. GITO mbH Verlag für Industrielle Informationstechnik und Organisation. 2020..
Forschung: Andere Veröffentlichung > Wissenschaftliche Veröffentlichung -
Suschnigg,Josef; Mutlu, Belgin; Fuchs, Anna Katharina; Sabol, Vedran; Thalmann, Stefan Thalmann; Schreck,Tobias
Exploration of Anomalies in Cyclic Multivariate Industrial Time Series Data for Condition Monitoring..
In: BigVis 2020 (Hg.): Proceedings of BigVis. Kopenhagen, Dänemark. . 2020. ..
Forschung: Beitrag in Sammelwerk/Buch > Originalbeitrag/Fachbeitrag -
Gashi, Milot, Thalmann, Stefan
Taking Complexity into Account: A Structured Literature Review on Multi-component Systems in the Context of Predictive Maintenance..
In: Themistocleous M.und Papadaki M. (Hg.): Information Systems. EMCIS 2019. Lecture Notes in Business Information Processing. Basel. Springer Nature Switzerland. 2020. 31-44..
Forschung: Beitrag in Sammelwerk/Buch > Konferenzbeitrag (Full Paper) -
Königstorfer, Florian; Thalmann, Stefan
Applications of Artificial Intelligence in commercial banks – A research agenda for behavioral finance..
In: Journal of Behavioral and Experimental Finance . 27. 2020. . doi:10.1016/j.jbef.2020.100352.
Forschung: Beitrag in Zeitschrift > Originalbeitrag/Fachbeitrag -
North, Klaus; Barbosa de Carvalho, Armindo; Alessio, Maria; Durst, Susanne; Carvalho, João Alvaro; Gräslund, Karin; Thalmann, Stefan
Information and knowledge risks in supply chain interactions of SMEs. An exploratory study...
In: Peter Heisig, Ronald Orth, Jakob Michael; Schönborn, Stefan Thalmann (Hg.): Wissensmanagement in digitalenArbeitswelten: AktuelleAnsätze und Perspektiven. Bonn. Köllen Druck+Verlag GmbH. 2020. 161-171..
Forschung: Beitrag in Sammelwerk/Buch > Originalbeitrag/Fachbeitrag -
Rene Kaiser, Stefan Thalmann, Viktoria Pammer-Schindler
An investigation of knowledge protection practices in inter-organisational collaboration: protecting specialised engineering knowledge with a practice based on grey-box modelling..
In: VINE Journal of Information and Knowledge Management Systems. Vol. ahead-of-print , No.ahead-of-print. 2020. Ahead of print. doi:10.1108/VJIKMS-11-2019-0180.
Forschung: Beitrag in Zeitschrift > Originalbeitrag/Fachbeitrag -
Zeiringer, Johannes Paul; Thalmann, Stefan
Knowledge Risks in Digital Supply Chains: A Literature Review..
In: (Hg.): Entwicklungen, Chancen und Herausforderungen der DigitalisierungBand 1: Proceedings der 15. Internationalen Tagung Wirtschaftsinformatik 2020. Berlin. GITO mbH Verlag für Industrielle Informationstechnik und Organisation. 2020. ..
Forschung: Beitrag in Sammelwerk/Buch > Originalbeitrag/Fachbeitrag -
Koutroulis, Georgios; Santos, Tiago; Wiedemann, Michael; Faistauer, Christian; Kern, Roman; Thalmann, Stefan
Enhanced Active Learning of Convolutional Neural Networks: A Case Study for Defect Classification in the Semiconductor Industry..
In: Fred, Ana; Filipe, Joaquim (Hg.): IC3K 2020 Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, Volume 1: KDIR. Setabal, Portugal. Science and Technology Publications, Lda . 2020. 269-276..
Forschung: Beitrag in Sammelwerk/Buch > Konferenzbeitrag (Full Paper) -
Königstorfer, Florian; Stefan Thalmann
Applications of Artificial Intelligence in commercial banks – A research agenda for behavioral finance..
In: Journal of Behavioral and Experimental Finance . 27. 2020. 100352. doi:10.1016/j.jbef.2020.100352.
Forschung: Beitrag in Zeitschrift > Originalbeitrag/Fachbeitrag -
Thalmann, Stefan; Fruwirth, Michael
To Sell or Not to Sell: Knowledge Risks in Data-Driven Business Models. München. 14.12.2019..
Forschung: Vortrag > Beitrag -
Thalmann, Stefan
Panel: Artificial Intelligence in a data-society: friend or enemy? Rhodos. 23.10.2019..
Forschung: Vortrag > Beitrag -
Thalmann, Stefan
KeyNote: Managing Knowledge Risks in Data-Centric Collaborations. Rhodos. 23.10.2019..
Forschung: Vortrag > Hauptbeitrag -
VOIL - Virtual Open Innovation Lab
Laufzeit: 01.10.2019 - 30.09.2021 GeldgeberIn: EU (Europäische Kommission)
Weiteres Projekt (abgeschlossen) > Drittmittelprojekt -
Thalmann, Stefan
Data-Driven Process Management to Enable Adaptive Production Systems . Berlin. 01.07.2019..
Transfer: Vortrag > Hauptbeitrag -
Thalmann, Stefan; Kerschbaumer, René; Foscht, Thomas;
Business Analytics as Part of Marketing Education in Business Schools Settings. Adelphi, Maryland, USA. 04.06.2019..
Forschung: Vortrag > Beitrag -
SmartRegulation: Knowledge Risks in Digital Supply Chains
Laufzeit: 01.05.2019 - 30.04.2023 GeldgeberIn: sonstige
Weiteres Projekt (abgeschlossen) > Universitätsintern finanziertes Projekt -
Thalmann, Stefan
Information and knowledge risks in supply chain interactions of SMEs. Potsdam. 21.03.2019..
Forschung: Vortrag > Hauptbeitrag -
Data-driven Business
Laufzeit: 01.01.2019 - 31.12.2020 GeldgeberIn: Unternehmen
Weiteres Projekt (abgeschlossen) > Drittmittelprojekt -
Peter Egger, Dominik Geringer, Gerwald Gindra-Vady, Christina Gruber, Elisabeth Paar, Lukas Reiter, Karl Stöger, Stefan Thalmann
Challenges of a Digital Single Market from an Austrian perspective – towards Smart Regulations..
In: Austrian Law Journal. 1. 2019. 37-53..
Forschung: Beitrag in Zeitschrift > Originalbeitrag/Fachbeitrag -
Tobias Ley; Ronald Maier; Stefan Thalmann; Lena Waizenegger; Kai Pata; Adolfo Ruiz-Calleja
A knowledge appropriation model to connect scaffolded learning and knowledge maturation in workplace learning settings..
In: Vocations and Learning. 12. 2019. 1-22..
Forschung: Beitrag in Zeitschrift > Originalbeitrag/Fachbeitrag