- The AI Transformation? Unpacking the Impact of AI on Incumbent Business Models. 32nd European Conference on Information Systems (ECIS), 2024 more…
- Orchestration logics for artificial intelligence platforms: From raw data to industry‐specific applications. Information Systems Journal, 2024 more…
- Streamlining the Operation of AI Systems: Examining MLOps Maturity at an Automotive Firm. 57th Hawaii International Conference on System Sciences, 2024 more…
- Deploying AI Applications to Multiple Environments: Coping with Environmental, Data, and Predictive Variety. 43rd International Conference on Information Systems, 2022Copenhagen, Denmark more…
- Where to Start with AI?— Identifying and Prioritizing Use Cases for Health Insurance. 55th Hawaii International Conference on System Sciences, 2022Maui, Hawaii, USA more…
- Value Drivers of Artificial Intelligence. Americas Conference on Information Systems (AMCIS) 2022, 2022Minneapolis, USA more…
- Organizational Capabilities for AI Implementation—Coping with Inscrutability and Data Dependency in AI. Information Systems Frontiers, 2022 more…
- AI Startup Business Models. Business & Information Systems Engineering , 2021 more…
- The Algorithmic Customer: A Classification Framework for Software Buying Agents. 11th SERVSIG Conference - High Tech and High Touch: The Future of Human Service, 2020Brisbane, Australia more…
- When Algorithms Go Shopping: Analyzing Business Models for Highly Autonomous Consumer Buying Agents". 15th International Conference on Wirtschaftsinformatik, 2020Potsdam, Germany more…
Michael Weber, M.Sc.
Postadresse
Friedrich-Ludwig-Bauer-Str. 5
85748 Garching b. München
- Raum: 5933.02.212B
- mic.weber@tum.de
Educational Background
- M.SC. in Information Systems (Technische Universität München)
- Visiting Graduate Student (Queensland University of Technology)
- B.SC. in Informatics (Technische Universität München)
Work Experience
- SAP University Competence Center (Technische Universität München)
- mgm technology partners GmbH
Research Interests
- Scaling AI Implementation in Organizations
- AI-based Products and Business Models