Track 7: Digital Business Models and Digital Entrepreneurship
Digital technologies permeate all areas of our society. Objects become “smart” by adding information technology to them. Increasingly large and diverse amounts of data are available to document, analyze and predict events. Newer methods of artificial intelligence make it possible to transfer tasks previously reserved for humans to machines and information systems, but also create completely new tasks.
Such changes can have many implications. Customers and employees can change their behavior. Organizations rethink their market position, adapt their structures, e.g. with internal start-ups and establish new roles, such as that of a chief digital officer. In particular, companies must critically review their business models or, in parallel, establish new lines of business in order to remain competitive. On the one hand, a successful digital transformation can lead to more economic growth, among other things, while on the other hand it is important to counteract or avoid unintended risks.
This conference track provides a framework for the presentation, discussion and development of innovative ideas on the digital transformation of existing companies as well as for the establishment of new companies. In doing so, we support a wide range of epistemological positions and research methods to develop and discuss novel theories and IT artifacts.
We particularly welcome contributions that provide insights into the impact mechanisms of digital transformation, questioning existing theories and IT artifacts of business informatics or further developing them conceptually. Concrete use cases are as much of interest as large-scale empirical contributions that examine how technological developments affect the design of business models. All parts of a business model - product or service, customer relationship, resources, and cost and revenue model - are of equal interest. The structural embedding of digitization initiatives in companies and industries and their management are also of interest. In addition to processing of literature, literature analyses and taxonomies must also necessarily develop innovative ideas and concrete perspectives for digital transformation or the establishment of new companies.
- Digitization of business models and value propositions
- Digital services, value creation with digitally networked products
- Theories and IT artifacts for digital transformation
- Organizational development for digital transformation
- Interplay of IT artifacts and organizational change
- Digital Ventures
- Organization and embedding of internal start-ups and labs.
- Shapeability, emergence and risk of digital transformation
- Strategies for digital transformation
- Digital innovations
- Management of digitalization programs
- Competitive advantages through digital transformation
Prof. Dr. Daniel Beverungen Paderborn University
Daniel Beverungen is a Full Professor for Information Systems at the University of Paderborn, Germany. His main research interests comprise service science management and engineering, business process management, information modelling, and the design and emergence of information systems. His work has been published in peer-reviewed academic journals and presented at all major Information Systems conferences. He is a member of the editorial board for the journal Business & Information Systems Engineering, a guest editor for the Information Systems Journal and other journals, and has been serving as a chair, associate editor, and reviewer for various academic conferences and journals. He is the academic head of the Service Science Competence Center at the European Research Center for Information Systems (ERCIS) and a steering committee member at the Software Innovation Campus Paderborn (SICP).
Prof. Dr. Peter Buxmann Technische Universität Darmstadt
Peter Buxmann is Head of the Software & Digital Business Group at Technische Universität Darmstadt. Furthermore, he is member in numerous management and supervisory committees , including the Advisory Board of the Weizenbaum Institute for the Networked Society – The German Internet Institute in Berlin. His research focuses on the digitalization of business and society, methods and applications of artificial intelligence, as well as the tensions between data economy and privacy. His research has been published in leading journals such as MIS Quarterly, Information Systems Research, Journal of Information Technology, European Journal on Information Systems, Information Systems Journal among others. His h index is 43.
Prof. Dr. Thomas Hess Ludwig-Maximilians-Universität München
Prof. Dr. Thomas Hess is Director of the Institute for Information Systems and New Media at LMU Munich. His research focuses on the intersection between management and digitization, the digitization of media companies, and AI-based information systems. His work has been published in the Journal of Management Information Systems, the European Journal of Information Systems and the journal “Business & Information Systems Engineering”, among others. He is co-editor of the Journal of Management Information Systems and of Electronic Markets. Thomas Hess is a member of the Board of Directors of the Bavarian Research Institute for Digital Transformation (BIDT) and co-chairman of the Internet Business Cluster (IBC). He is associated with practice as a member of the supervisory board of an MDAX company, among other things.
- Martin Adam (Technische Universität Darmstadt)
- Christian Bartelheimer (Universität Paderborn)
- Alexander Benlian (Technische Universität Darmstadt)
- Antonia Köster (Weizenbaum Institute for the Networked Society & University of Potsdam)
- Johann Kranz (LMU München)
- Dennis Kundisch (Universität Paderborn)
- Christiane Lehrer (CBS)
- Peter Loos (Universität des Saarlandes)
- Christian Matt (Universität Bern)
- Jan Recker (Universität Hamburg)
- Markus Siepermann (TH Mittelhessen)
- Dennis Steininger (Universität Augsburg)
- Frank Teuteberg (Universität Osnabrück)
- Ferdinand Thies (University of Liechtenstein)
- Frédéric Thiesse (Universität Würzburg)
- Daniel Veit (Universität Augsburg)
- Thomas Widjaja (Universität Passau)