Michael Ziegler

Michael Ziegler is a lecturer and researcher at the Institute for Information and Process Management. He is involved in various projects with a focus on process management, web development and data science. Previously, he worked for various companies in diverse industries. He completed an apprenticeship as a mediamatics before studying economics at the University of Zurich and business process management at the FHV. In 2024 he finished his studies of Information Systems at the University of Liechtenstein.

Area of Expertise

• Process management, process modeling
• Data Science / ML / KI
• web development
• database modeling
• Business analysis, requirements engineering
• Project management, project portfolio management

Education

• MSc Information Systems
• M.A. Business Process Management
• B.A. Economics
• Supplementary examination Passerelle
• Professional apprenticeship as mediamatiker (incl. technical vocational baccalaureate)

Professional Experience

• Lecturer and Researcher at the Institute for Information and Process Management (OST)
• Research Associate at the Institute for Information and Process Management (OST)
• Research associate at the Swiss Institute for Entrepreneurship (FHGR)
• Project Manager Business Processes (Thyssenkrupp Presta)
• Segment Manager Private and Investment Clients (Raiffeisen Switzerland)
• Employee project and process management (SGKB)
• Trainee Project Management (Swisscom AG)
• Clerk Disposition Controlling (Lidl Schweiz AG)
• Management Support (Clariden Leu AG)
• Web Developer (2sic Internet Solutions GmbH)

Teaching Experience

• Digitalization and Business Process Engineering (Master level)
• Data Science and AI (Bachelor level)
• Business Processes (Bachelor level)
• Business Process Management Fundamentals (Bachelor level)
• Coach for practical projects (Bachelor level)
• Innovation Management (FHGR, Bachelor level)

Projects

• Research project "Children's rights in your pocket" for the participatory design of a web application, project partners: PH Lucerne, UNICEF Switzerland and Liechtenstein, Paul Schiller Foundation, Federal Social Insurance Office and others.
• Research project "COFUSE" for the co-creation of smart energy services in the heating sector, project partner: St.Galler Stadtwerke

Peer-Reviewed Journal Articles and Conference Proceedings

• BALDAUF, M., INGOLD, S., THOMA, A., DICKENMANN, C., ZIEGLER, M. (2023). Children’s Rights in Your Pocket – Lessons Learned from a Three-Year Case Study on Participatory App Design with Children. Proceedings of the 22nd International Conference on Mobile and Ubiquitous Multimedia. Vienna, Austria:
• STÖCKLER, S., BEKIRI, V., ZIEGLER, M. (2023). Vom belegorientierten zum prozessgetriebenen ERP – Workflow neu gedacht. Proceedings of the SAP Academic Community Conference 2023 DACH. München, Germany: doi:10.14459/2023md1719876
• RISS, U., ZIEGLER, M., SMITH, L. J. (2023). Value Dimensions of Digital Applications and Services: The Example of Voice Assistants. International Journal of Web Engineering and Technology, 18 (4), pp. 319-343. 10.1504/IJWET.2023.136174
• RISS, U., ZIEGLER, M., SMITH, L. J. (2022). Value in Digital Technologies and Services. In Lorna Uden (Ed.), Fifteenth International Conference on Knowledge Management in Organisations. Cham, Germany: Springer CCIS.

Teaching-Related Publications

• ENDL, R., ZIEGLER, M. (2023). Strategische Prozessorganisation bei der Schob AG. Open Education Platform for Management Schools, 316.
• ZIEGLER, M. (2022). Fallstudie zu operativem Prozessmanagement: Steering AG. Open Education Platform for Management Schools, 321.
• ENDL, R., ZIEGLER, M. (2022). Fallstudie zu strategischem Prozessmanagement: MicroElectric AG. Open Education Platform for Management Schools, 312.
• ENDL, R., ZIEGLER, M. (2022). Prozessmodellierung, -analyse und -optimierung bei der Versicherungs AG. Open Education Platform for Management Schools, 315.

Presentations

• GROHER, W., ZIEGLER, M. (2023). IT-Puls: Process Mining in der Praxis. OST-IPM.

Extended Abstracts, Poster Presentations and Workshop Contributions

• TÖDTLI, B., KRAFT, M., ZIEGLER, M., BINDER, P. (2023). Cyberbullying Detection using Machine Learning: Insights from an Applied Research Project. "EXPLORING CRITICAL CHALLENGES FOR THE CHANGING NATURE OF WORK".