Chair of Electronic Finance and Digital Markets

Chair of Electronic Finance and Digital Markets


Welcome

to the website of the Chair of Electronic Finance and Digital Markets (Faculty of Business and Economics) at the University of Göttingen.

The chair is concerned with questions related to the support of managerial decision-making by extracting useful pieces of information from large and unstructured data sources, and the management of opportunities and challenges in the context of the digitalization of business. Here, the focus is on application domains at the intersection of information systems and finance.

The chair also offers a wide range of courses at the Bachelor, Master, and Ph.D. level. At the undergraduate level, we offer courses related to the design and management of financial information systems as well as an introduction to corporate finance. For master´s students, we teach courses on business intelligence, market microstructure and electronic securities trading. Finally, doctoral courses on theory development complement our teaching approaches.

The main research areas include (big) data analytics and managerial decision support, the development and execution of digital business strategies, as well as the conceptual and methodological foundations of theory development in information systems research. Our research is characterized by an array of methods and paradigms, in which we apply methods from qualitative, quantitative and design-oriented research.


News

New publication in the conference proceedings of the European Conference on Information Systems (ECIS)

The research article “Detecting Herding Behavior Using Topic Mining: The Case of Financial Analysts“ from Matthias Palmer, Dr. Matthias Eickhoff and Prof. Dr. Jan Muntermann has been accepted for the ECIS 2018.

New research paper in Decision Support Systems (DSS)

The following paper has been accepted for publication in the journal 'Decision Support Systems': Siering, M., Muntermann, J., and Rajagopalan, B. “Explaining and predicting online review helpfulness: The role of content and reviewer-related signals"