Digital Transformation & Business Models
Track description
Information and communication 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 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 digital transformation from the perspective of individuals, (working) groups, organizations, networks, industries and society as a whole. We support a broad spectrum of epistemological positions and research methods to develop novel theories and IT artifacts.
We particularly welcome contributions that provide insights into the mechanisms of digital transformation, questioning existing theories and IT artifacts of business informatics or further developing them conceptually. Concrete use cases of disruptive change processes in organizations are of interest as well as 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.
Possible topics
Information and communication 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 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 digital transformation from the perspective of individuals, (working) groups, organizations, networks, industries and society as a whole. We support a broad spectrum of epistemological positions and research methods to develop novel theories and IT artifacts.
● Digitization of business models and value propositions
● Theories and IT artifacts for digital transformation
● Organizational development for digital transformation
● Interaction of IT artifacts and organizational change
● Shapeability, emergence and risk of the digital transformation
● Strategies for the digital transformation
● Competitive advantages through digital transformation
● Digital transformation at the individual level
● Cultural aspects and effects of the digital transformation
Fast Track Review for the journal "Electronic Markets
For selected, accepted contributions of this track there is the possibility of a Fast Track Review for the journal "Electronic Markets - The International Journal on Networked Business" http://www.electronicmarkets.org/
Track Chairs
Prof. Dr. Daniel Beverungen is head of the Chair of Business Information Systems, in particular Business Information Systems, at the University of Paderborn. His research focuses on service research, business process management, information modelling and the design of innovative information systems in general. He is co-editor of the journal Business & Information Systems Engineering (BISE) and guest editor for the Information Systems Journal (ISJ) and other journals. From 2016 - 2018 he served as president of the Special Interest Group on Services (SIGSVC) in the Association for Information Systems (AIS).
Dr. Christiane Lehrer is Assistant Professor of Business Informatics at Copenhagen Business School. She was previously an assistant professor at the University of St. Gallen. Her research focuses on IT-supported innovation in companies, user behavior and human-centered design of information systems. Her work has been published in the Journal of Management Information Systems, European Journal of Information Systems, Electronic Markets and Business & Information Systems Engineering. Christiane Lehrer is also a member of the editorial board of Electronic Markets.
Prof. Dr. Thomas Hess is head of the Institute for Information Systems and New Media at the LMU Munich. His areas of expertise are digital transformations of companies, use of digital technologies by companies and management of media, internet and IT companies. Through his activities on the Supervisory Board of Bechtle AG (MDax), the Internet Business Cluster and various consulting projects, he works in a very practice-oriented manner. His career: Diploma in Business Informatics, TU Darmstadt, PhD 1995 University of St. Gallen, Habilitation 2001 University of Göttingen, Professor from 2001 LMU Munich and in between two years as assistant to the Executive Board at Bertelsmann. Most recently, Thomas Hess published the book "Strategically Managing Digital Transformation".
Dr. Martin Adam is a post-doctoral lecturer at the Department of Information Systems & Electronic Services at the TU Darmstadt. His research interests include Artificial Intelligence and User Decision-Making. His work has been published in journals such as Communications of the Association for Information Systems, Decision Support Systems and Electronic Markets as well as in the proceedings of scientific conferences such as ICIS and ECIS.
Associate Editors
- Prof. Dr. Rainer Alt, Universität Leipzig
- Prof. Dr. Mathias Eggert, FH Aachen
- Prof. Dr. Reinhard Jung, Universität St. Gallen
- Prof. Dr. Franz Lehner, Universität Passau
- Prof. Dr. Christian Matt, Universität Bern
- Prof. Dr. José Parra-Moyano, Copenhagen Business School
- Prof. Dr. Hans Peter Rauer, FH Bielefeld
- Prof. Dr. Gerhard Satzger, KIT
- Prof. Dr. Martin Spann, LMU
- Prof. Dr. Frédéric Thiesse, Universität Würzburg
- Prof. Dr. Thomas Widjaja, Universität Passau
- Prof. Dr. Steffen Zimmermann, Universität Ulm
- Dr. Sebastian Bräuer, Universität Hildesheim
- Dr. Arne Buchwald, Vlerick Business School
- Dr. Antonia Köster, Universität Potsdam
- Dr. Hendrik Scholta, Universität Münster
- Dr. Martin Semmann, Universität, Hamburg
- Dr. Markus Siepermann, TU Dortmund
- Dr. Dennis Steininger, Universität Augsburg
- Dr. Benjamin van Giffen, Universität St. Gallen
- Dr. Dirk Werth, AWS-Institut für digitale Produkte und Prozesse gGmbH