Track 2

Track description

Digital technologies are increasingly permeating all areas of our society and economy and unleash far-reaching innovation and transformation processes, for example, by enabling new approaches to artificial intelligence (AI), new methods of data collection and analysis, as well as the networking of a wide range of partners, or the linking of the physical and digital world. 

Companies are challenged to actively shape the digital transformation to seize resulting opportunities and counter related risks. For instance, to remain competitive in the digital age, established companies must critically question their traditional business models and adapt them to constantly changing conditions. To do so, among other things, they are acquiring methods for the user-centric development of innovative products and services and build skills to design, implement, and further develop their business models.

Companies are also adapting their structures, for example, by establishing new roles such as the Chief Digital Officer (CDO), setting up new organizational units such as Digital Innovation Units, or founding start-ups to translate innovative digital technologies into novel offerings. In this process, new digital forms of collaboration within and across companies, and especially between established companies and startups, are emerging alongside digital innovations. 

This conference track addresses the above-outlined digitalization opportunities and challenges and provides researchers with an interactive forum for presenting and discussing their research findings on digital transformation processes and their impact on the business models of established organizations, as well as on the development and realization of novel digital business models and practices, especially by startups.

The track is open to a wide range of epistemological positions and research methods for the development and discussion of new concepts and theories, along with innovative approaches, methods, and IT artifacts. Concrete use cases are equally of interest as are large-scale empirical contributions that investigate how digital transformation can be shaped or how it affects established organizations and startups and their business models. Literature reviews and taxonomies are supposed to develop innovative conclusions and forward-looking perspectives besides the pure synthesis of the literature.

Paul Drews

Universität Lüneburg

Paul Drews is professor of information systems (in particular digital transformation and information management) at Leuphana University of Lüneburg. He is head of the interdisciplinary digital transformation research center and project manager of the EU funded “Digital Entrepreneurship” project. His research focuses on the digital transformation of organizations and enterprises, the development, diffusion and adoption of IT innovations, the role of the IT function, enterprise architecture, strategic IT and information management, digital entrepreneurship, the scaled use of agile methods and data-driven business models.

Susanne Robra-Bissantz

Technischen Universität Braunschweig

Susanne Robra-Bissantz heads the Institute of Information Systems at the Technical University of Braunschweig. With her team, she conducts research in the area of digital business models and digital services in particular, with a focus on person-centered services, whose interactions and ecosystems she explains and, if meaningfully digital, designs on the basis of service logic. In this environment, she is interested in how collaboration between interacting actors (e.g., between customers and companies or in interest groups) arises and how this is digitally promoted. The Institute presents its research results mainly at national and international conferences (e.g., ECIS, ICIS, AMCIS, GeNeMe, DESRIST). Susanne Robra-Bissantz is a regular reviewer and supporter of the aforementioned conferences, as well as editor of HMD – Praxis der Wirtschaftsinformatik.

Dominik Siemon

LUT University Finnland

Dominik Siemon is an Associate Professor with the Department of Software Engineering, Lappeenranta-Lahti University of Technology (LUT University), Finland. His mainly design-oriented research in the field of information systems addresses collaboration and interaction with intelligent systems, innovation management and creativity. His work has been published in leading conferences, such as the International Conference on Information Systems, and in journals, such as Information Systems Frontiers, Behaviour & Information Technology, AIS Transactions on Human-Computer Interaction, and the Communications of the Association for Information Systems. He serves as Associate Editor for several information systems conferences, such as the International Conference on Information Systems.

Martin Wiener

TU Dresden

Martin Wiener is a Professor of Information Systems and Business Engineering at TU Dresden, and an Affiliated Researcher at the Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg and the Stockholm School of Economics (SSE) Institute for Research in Sweden. His research focuses on the control and governance of digital transformation projects, algorithmic management of workers, and data-driven organizations, and has been published in top-tier IS journals, including Information Systems Research, Journal of Management Information Systems, and MIS Quarterly. Martin currently serves as Associate Editor for Information Systems Research, Information Systems Journal, and Business & Information Systems Engineering, as well as on the Editorial Review Board of the Journal of the Association for Information Systems and Information & Management. He also regularly serves as Track Chair for major international conferences (e.g., ECIS and WI).