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
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 Hegele, Y. and Stoll, A. (eds) Agiles Arbeiten im öffentlichen Sektor : Erfahrungen aus Deutschland, Österreich und der Schweiz. Cham: Springer, pp. 141–166. doi: 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', in Almeida, J. P. A., Di Ciccio, C., and Kalloniatis, C. (eds) Advanced information systems engineering workshops. Cham: Springer, pp. 109–114. doi: 10.1007/978-3-031-61003-5_10.
- Pechtor, V. and Basl, J. (2023) 'Unraveling the processes and challenges of artificial intelligence implementation in the Swiss public sector : a toe framework analysis', in Doucek, P., Sonntag, M., and Nedomova, L. (eds) Proceedings of the 31st Interdisciplinary Information Management Talks (IDIMT). Linz: Trauner, pp. 203–216. doi: 10.35011/IDIMT-2023-203.
- Pechtor, V. and Basl, J. (2022) 'Analysis of suitable frameworks for artificial intelligence adoption in the public sector', in Chroust, G., Doucek, P., and Oškrdal, V. (eds) IDIMT-2022 : digitalization of society, business and management in a pandemic : 30th Interdisciplinary Information Management Talks, Sept. 7-9, 2022, Prague, Czech Republic. Linz: Trauner, pp. 67–74. doi: 10.35011/IDIMT-2022-67.