Michael Harr

Michael Harr is a doctoral researcher and research assistant at the University of Duisburg-Essen, affiliated with the Faculty of Computer Science and the Chair of Business Informatics and Integrated Information Systems. His work focuses on artificial intelligence, digital transformation of HR management, enterprise systems, new work arrangements, and digital communication. He has published extensively on these topics in leading journals and conferences.

Education:

• M.Sc. in Business Information Systems (2020-2023), University of Duisburg-Essen
• B.Sc. in Business Information Systems (2016-2020), University of Duisburg-Essen

His research explores the intersection of AI and human-centric systems, including studies on retail service robots, intelligent HRIS, generative AI in MOOCs, and user annoyances in voice assistants. Recent publications analyze digital communication trends and digitalization challenges in the construction sector.

Publications: Harr has contributed to key areas such as retail automation, HRIS optimization, and AI-driven e-learning, with a focus on practical applications and theoretical frameworks.

Supervised Theses:

• Exploring ChatGPT for MOOCs
• AI in Knowledge Management
• Technostress and Quiet Quitting
• Taxonomy of AI Recruitment Tools
• Talent Recruitment on Social Networks

Labs and Teams: Harr is involved in the Retail Artificial Intelligence Lab (retAIL) and SAP Innovation Lab, contributing to projects on digital transformation and enterprise systems.