Václav Pechtor
Václav Pechtor
ZHAW
School of Management and Law
Institute of Information Systems
Theaterstrasse 17
8400 Winterthur
Work at ZHAW
Position
Researcher
Professional development teaching
CAS Data Competence for Business
Experience
- Researcher
ZHAW School of Management and Law
08 / 2022 - today - Head of Data Analytics, AI & Robotics
Kanton Luzern
11 / 2021 - 07 / 2023 - Head of SAP & Analytics
Kanton Luzern
02 / 2020 - 09 / 2021 - Business Analyst/Consultant Robotics
Würth ITensis AG
04 / 2018 - 01 / 2020 - Team Leader SAP Development & Support
Würth ITensis AG
01 / 2016 - 03 / 2018 - Business Consultant
Würth ITensis AG
01 / 2014 - 12 / 2015
Network
ORCID digital identifier
Publications
Book chapters, peer-reviewed
Pechtor, V. (2025). Agile Methoden zur Einführung von KI im öffentlichen Sektor. In Y. Hegele & A. Stoll (eds.), Agiles Arbeiten im öffentlichen Sektor : Erfahrungen aus Deutschland, Österreich und der Schweiz (pp. 141–166). Springer. https://doi.org/10.1007/978-3-658-48296-1_7
Written conference contributions, peer-reviewed
- Pechtor, V. (2024). Towards explainable public sector AI : an exploration of neuro-symbolic AI and enterprise modeling [Conference paper]. In J. P. A. Almeida, C. Di Ciccio, & C. Kalloniatis (Eds.), Advanced information systems engineering workshops (pp. 109–114). Springer. https://doi.org/10.1007/978-3-031-61003-5_10
- Pechtor, V., & Basl, J. (2023). Unraveling the processes and challenges of artificial intelligence implementation in the Swiss public sector : a toe framework analysis [Conference paper]. In P. Doucek, M. Sonntag, & L. Nedomova (Eds.), Proceedings of the 31st Interdisciplinary Information Management Talks (IDIMT) (pp. 203–216). Trauner. https://doi.org/10.35011/IDIMT-2023-203
- Pechtor, V., & Basl, J. (2022). Analysis of suitable frameworks for artificial intelligence adoption in the public sector [Conference paper]. In G. Chroust, P. Doucek, & V. Oškrdal (Eds.), IDIMT-2022 : digitalization of society, business and management in a pandemic : 30th Interdisciplinary Information Management Talks, Sept. 7-9, 2022, Prague, Czech Republic (pp. 67–74). Trauner Verlag. https://doi.org/10.35011/IDIMT-2022-67