Lorenz Baum

Lorenz Baum completed his bachelor’s and master’s degrees in Business Information Systems at the Technical University of Darmstadt, Germany. He wrote his theses on the topics “Development of an Alexa Skill in the Context of E-Commerce and Customer Service” and “Proposing a Maturity Model for Assessing Companies’ AI Strategy”. In 2019, he spent a semester abroad at the Department for Industrial Engineering and Management at Aalto University near Helsinki in Finland. He received awards by receiving the Deutschlandstipendium 2018 and 2019 and by winning 1st place at the AiTalents Challenge 2020 of the Frankfurt TechQuartier.

Since October 2021, Lorenz Baum has been a doctoral student and research assistant at the Chair of Information Systems and Information Management with Prof. Dr. Oliver Hinz. He is part of the interdisciplinary research project PERISCOPE. Additionally, he supports teaching in courses like Digital Business, Business Information Systems 2, and Social Network Analysis.

His research interests in the field of Information Systems include privacy-friendly business models, human behavior in online communities, and the management of artificial intelligence – with a special focus on the human-centric design of AI systems as well as on the potential of business models that derive value through artificial intelligence.

During his tenure as a research assistant, he also fulfilled the role of peer reviewer for a number of esteemed international journals and conferences, including Electronic Markets – The International Journal on Networked Business, the International Conference on Information Systems (ICIS, certificate), the European Conference on Information Systems (ECIS), the International Conference on Wirtschaftsinformatik (WI), the Pacific-Asia Conference on Information Systems (PACIS), and the Americas’ Conference on Information Systems (AMCIS).

• Management of Artificial Intelligence
• Data science and machine learning in a business context
• Potentials of AI-based business models
• Privacy-friendly business models
• Human behavior in online communities

• Best Complete Paper in Track: “Understanding (X)AI in Healthcare: Patients’ Perspective on Global and Local Explanations”, Pacific-Asia Conference on Information Systems (PACIS) 2024, Ho Chi Minh City, Vietnam. aisel.aisnet.org/pacis2024/track11_healthit/track11_healthit/10/

Current involvement in lectures:

• Summer term 2024: Social Network Analysis - Exercise with Python for SNA, Chair of Information Systems and Information Management of Prof. Dr. Oliver Hinz, Master’s program, 80 participants, student module evaluation: 5.4 out of 6.
• Summer term 2024: Business Informatics 2 - Exercise with Python, Chair of Information Systems and Information Management of Prof. Dr. Oliver Hinz, Bachelor’s program, 200 participants.

Past involvement in lectures:

• Winter term 2023/2024: Digital Business - Exercise, Chair of Information Systems and Information Management of Prof. Dr. Oliver Hinz, Bachelor’s program, 280 participants, student module evaluation: 4.9 out of 6.
• Winter term 2022/2023: Digital Business - Exercise, Chair of Information Systems and Information Management of Prof. Dr. Oliver Hinz, Bachelor’s program, 360 participants, student module evaluation: 4.9 out of 6.
• Summer term 2022: Business Informatics 2 - Exercise with Python, Chair of Information Systems and Information Management of Prof. Dr. Oliver Hinz, Bachelor’s program, 300 participants, student module evaluation: 4.9 out of 6.
• Winter term 2021/2022: Digital Business - Exercise, Chair of Information Systems and Information Management of Prof. Dr. Oliver Hinz, Bachelor’s program, 280 participants, student module evaluation: 5.2 out of 6.
• Winter term 2021/2022: Business Informatics 2 - Organization, Chair of Information Systems and Information Management of Prof. Dr. Oliver Hinz, Bachelor’s program, 250 participants, student module evaluation: 4.8 out of 6.

Bachelor:

• Impacts of Advances in Artificial (General) Intelligence on Organizational Knowledge Creation (Bachelor)
• Perceptions of Influencer Marketing on Two Short Video Platforms – A Quantitative Analysis (Bachelor)
• Recommender Systems for Sustainable Alternatives: Collecting Customer Preferences (Bachelor)
• Preparation of a field experiment to explore online response behavior: Developing a method for generating question-answer pairs (Bachelor)
• What is Cunningham’s Law? - A Literature Review (Bachelor)

Master:

• Erhöhung der Erklärbarkeit von KI: Einsatz und Evaluation von XAI-Methoden (Master)
• XAI – Anwendungsfälle und Konzepte für das Personalwesen (Master)
• Explainable AI in der Medizin – Wahrnehmung und Bewertung lokaler und globaler Erklärbarkeit durch Patient:innen (Master)
• Der Einfluss von Präferenz-Ähnlichkeiten auf das Nutzungsverhalten auf digitalen Plattformen: Eine Analyse mittels Web Scraping auf der Gaming-Plattform Steam (Master)
• Investigation of Consumer Preferences for Privacy Friendly Platform Business Models (Master)
• A Taxonomy of Privacy-Friendly Platform Business Models – The Case of Digital Labor Platforms (Master)
• Cunningham’s Law – A field experiment on online-response behavior (Master)
• Cunningham’s Law: Der Einfluss von fehlerhaften Nutzerbeiträgen auf das Antwortverhalten in Online-Communities (Master)

Seminar:

• Erfolg mit künstlicher Intelligenz: KMUs und große Unternehmen (Bachelor Seminar)
• KI-basierte Geschäftsmodelle im medizinischen Umfeld (Bachelor Seminar)
• XAI in Dentistry: Design and Implementation of an Experiment (Bachelor Seminar)