Research Seminar: Inference to the Best Explanation: “Sherlock Holmes-Style” Reasoning in Qualitative Research
Prof Dr Daniel Schlagwein will be at the HSG in HS2024 as a visiting professor of the SoM. In this context, he is offering a research seminar on "Inference to the Best Explanation: 'Sherlock Holmes-Style' Reasoning in Qualitative Research", to which HSG-researchers interested in the topic are invited. The workshop addresses the (mis-)representation and (in-)consistency in reasoning processes in research papers.
Research Talk: Digital Nomadism and Its Implications for Nation-States, Organizations, and Local Communities
Working from home or from anywhere in the world - the number of "global nomads" has increased significantly since the Covid pandemic at the latest. What opportunities and problems arise for the global nomads themselves, and what for society, companies and countries? Prof Dr Daniel Schlagwein from the University of Sydney addresses these issues in his research and presents the latest findings.
Dr. Niclas Kannengiesser: Practitioner Motives to Use Different Hyperparameter Optimization Methods
Dr. Niclas Kannengiesser is a postdoctoral researcher with the critical information systems infrastructures research group at the KIT and currently a visiting researcher at the University of Zurich. In his presentation, he will deal with the topic of Automated Machine Learning (AutoML) - a topic that can also be exciting from a business perspective. He will show how practitioners can benefit from AutoML and provide an outlook on decentralized machine learning processes and the role of AutoML in such processes.
Prof. Dr. Kevin Bauer: Knowing (not) to know: XAI, task delegation, and human metaknowledge
Kevin Bauer is Assistant Professor of E-Business and E-Government at the University of Mannheim, and starting in 2025, he will be Professor for Game-Theoretic and Causal AI in Business and Economics at Goethe University Frankfurt. In his talk, Kevin Bauer presents the findings of a paper that explores whether Explainable AI (XAI) can improve human metaknowledge and thereby enhance delegation efficiency in human-AI collaborations.
Prof. Dr. Roman Rietsche: Information Sharing in the Metaverse: Bystander Effects and the Moderating Role of Immersiveness
Prof. Dr. Roman Rietsche is Professor for Information Systems and AI at the Berner Fachhochschule. Previously he was part of the IWI-Team as a Research Assistant, Postdoc and Project Manager. In his research talk he presents the results of a controlled laboratory experiment investigating the exchange of information in cyber-physical spaces, such as the Metaverse.
Prof. Dr. Isabel Fischer: Navigating Resistance in Disruptive Contexts: Using Action Design Research to Develop an AI-Based Formative Feedback Tool
Isabel Fischer is an Associate Professor (Reader) of Responsible Digital Innovation and Education at the University of Warwick in the UK. In her Research Talk she explores the use of Action Design Research (ADR) to develop an in-house AI-based formative feedback tool over four iterative cycles between 2019 and 2024.
Dr. Edona Elshan: Future Nostalgia: Balancing Innovation and Legacy Systems in Low-Code Integration
The rapid development of digital technologies requires the renewal of fundamental IT infrastructures to maintain competitiveness. In her research, Edona Elshan analyses the integration of low-code development platforms (LCDPs) into existing IT landscapes and addresses the various obstacles.
Prof. Dr. Thomas Hess (LMU): Beyond the Digital Transformation? Towards an Integrated Model of Digital Change of Companies
Thomas Hess is Full Professor of Information Systems and Management at the LMU Munich School of Management and director of the Institute for Digital Management and New Media. His research focuses on the potential of digital technologies for the value creation and the management structure of companies. In his research talk, he presents the results of an interpretative case study, on the basis of which the process of digital change of a European media group was analyzed.