Description
The IEEE Conference Series on Business Informatics is the leading international forum for state-of-the-art research in Business Informatics. IEEE CBI 2019 in Moscow calls for submissions in the multidisciplinary field of Business Informatics, and welcomes a multitude of theoretical and practical lenses, perspectives and mindsets on today’s challenges of the digital transformation.
IEEE CBI 2019 encourages a broad understanding of Business Informatics research and intends to further its many different facets, theoretical foundation and experiential body of knowledge. The CBI series has proven a fertile ground for research with high impact, and a hub for multidisciplinary research with contributions from Management Science, Organization Science, Economics, Information Systems, Computer Science, and Informatics. Based on integrative socio-technical and socio-economical views, Business Informatics advances our knowledge and design for future challenges of the digital transformation.
The CBI series aims at creating a forum for researchers and practitioners from various fields and backgrounds that contribute to the construction, use and maintenance of information systems and their organizational use contexts. A dedicated goal of the CBI series of conferences is to bring together researchers from different fields and disciplines to stimulate discussion, synergy and collaboration. Accordingly, the CBI conferences use a format that enables in depth discussions among researchers during the conference. The benefits of such a cross-disciplinary conception are contrasted by a challenge: Authors who submit a paper take the risk to be assessed by standards that are different from those they are used to in their own research communities. The CBI’s organization accounts for this challenge by the various tracks covering different fields, their track chairs and program committee members and program chairs. Tracks are not only intended to represent a certain subject area, but also to include papers from different communities.
Call for paper
Call for paper description
The IEEE CBI series encourages a broad understanding of Business Informatics research, and intends to further its many different facets, theoretical foundations and experiential body of knowledge. In doing so, the CBI series has proven to be a fertile ground for research with high impact, and a hub for multidisciplinary research with contributions from Management Science, Organization Science, Economics, Information Systems, Computer Science, and Informatics.
In line with this, the CBI series aims to provide a forum for researchers and practitioners from various fields and backgrounds that contribute to the construction, use and maintenance of information systems and their organizational use contexts. A dedicated goal of the CBI series of conferences is to bring together researchers from different fields and disciplines to stimulate discussion, synergy and collaboration. Accordingly, CBI conferences use a format that enables in depth discussions among researchers during the conference. The benefits of such a crossdisciplinary conception are contrasted by a challenge: Authors who submit a paper take the risk to be assessed by standards that are different from those they are used to in their own research communities. The conference organisation accounts for this challenge by involving renowned track chairs and programme committee members from different fields and disciplines.
Author guidelines
Manuscripts must be in English and are restricted to 10 pages in IEEE 2-coloumn template (A4).
In the submission form, select the conference track that best fits with your manuscript’s topic, or choose “General Topics” if not covered by the tracks.
Review process is double-blind; your names and affiliations must not be explicitly listed in the manuscript. However, you should keep all cited references in the submission’s bibliography intact.
Topics of submission
Enterprise Modelling, Engineering and Architecture
Business Process Management
Information Systems Engineering
Artificial intelligence for Business
Information management
Business Analytics and Business Data Engineering
Industry 4.0 (Industry Applications)
Business Innovations and Digital transformation
Data-Driven Business Applications
General Topics
Doctoral School