Dominik Gisa worked for more than five years as a product manager after collecting practical experience in his industrial engineering studies at the computer vision company Basler AG. As a product manager, he was responsible for numerous product launches and the development and market introduction of a new product platform. Looking to enhance and update his theoretical background, he started as a research associate at the Science-to-Business Marketing Research Centre in June 2021. He officially began his PhD in collaboration with the University of Twente in March 2022, researching how universities can empower SMEs in their AI adoption.

Curriculum Vitae:

• 2015-2021 - Product Manager at Basler AG
• 2016 - Master of Science in Industrial Engineering at the FH Wedel
• 2014-2015 - Business Development Trainee at Basler AG
• 2014 - Bachelor of Engineering in Industrial Engineering at the Wirtschaftsakademie Schleswig Holstein (Duale Hochschule SH)
• 2011-2014 - Dual Student at Basler AG

Presentations

1. Lappenküper, Dominik & Harms, Rainer (2024): AI Adoption in SMEs - Motivation, Barriers, Capabilities, and Environment. Presentation at the European Academy of Management (EURAM) Conference, Bath, United Kingdom.
2. Lappenküper, Dominik & Harms, Rainer (2024): Companies Leveraging University-Industry Engagement in the Adoption of Artificial Intelligence. Presentation at the Research and Development (R&D) Management Conference, Stockholm, Sweden.
3. Lappenküper, Dominik (2023): A Specification and Development Approach to AI-augmented Innovation Capabilities in Manufacturing Companies. Presentation at the Journal of Product Innovation Management (JPIM) Research Forum in New Orleans, United States of America.
4. Lappenküper, Dominik & Harms, Rainer (2022): Artificial Intelligence Adoption Inside Businesses - A Bibliometric Analysis. Presentation at the Research in Entrepreneurship and Small Business (RENT) Conference, Naples, Italy.
5. Lappenküper, Dominik & Harms, Rainer (2022): Business adoption of artificial intelligence - A bibliometric analysis. Presentation at the G-Forum, Dreseden, Germany.