22nd IEEE International Conference on Business Informatics

CBI 2020


Databases & Information Systems Information Theory



22nd IEEE International Conference on Business Informatics (IEEE CBI 2020) June 22–24, 2020, Antwerp, Belgium
The IEEE Conference Series on Business Informatics is the leading international forum for state-of-the-art research in Business Informatics. The 22nd IEEE CBI 2020, held in the city of Antwerp, calls for submissions in the multidisciplinary field of Business Informatics, and welcomes a multitude of theoretical and practical perspectives and mind-sets on today’s challenges of the digital transformation.
Call for Papers
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 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 conference organization accounts for this challenge by involving renowned track chairs and program committee members from different fields and disciplines.
List of Tracks
Enterprise Modelling, Engineering and Architecture
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
Submission
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. Further information for submission: https://www.cbi-series.org/2020/
Accepted papers will be published as IEEE proceedings and submitted for integration into the IEEE Digital Library.
Important Dates
Abstract submission: 28.02.2020
Full paper submission: 15.03.2020
Notification of acceptance: 27.04.2020
Camera ready copies: 10.05.2020
Enterprise Modelling, Engineering and Architecture
Track Co-Chairs
Peter Fettke, Saarland University, Germany
Frederik Gailly, Ghent University, Belgium
Topics
Methods for Enterprise Modelling, Engineering and Architecture Management
Enterprise and Business Transformation
Business-IT Alignment
Enterprise Architecture Management and Governance
Languages and Tools
Reference Models and Ontologies
Business Process Analysis, Modelling and Execution
Information Systems Engineering
Track Co-Chairs
Wided Guédria, LIST, Luxembourg
Elena Kornyshova, CEDRIC Conservatoire National des Arts et Métiers, France
​Topics
Requirements Engineering
Method Engineering
Software Testing
Information Security and Risk
Human-Computer Interaction
Social Computing and Social Network Analysis
User-Centered Approaches
Collaborative Computing
Model-driven approaches to IS engineering
Domain Specific Models and Languages
IS Engineering in the Public Domain
Empirical Approaches to IS Engineering
Artificial Intelligence for Business
Co-Chairs
Jos van Hillegersberg, University of Twente, Netherlands
Carsten Felden, University of Resources Freiberg, Germany
Topics
Ranking and prediction algorithms
Business value of recommendation and retrieval systems
Evaluation of recommendation, personalization and retrieval systems
Conversational and interactive approaches
Knowledge-based techniques
Group recommendations
Case studies and novel application domains
Information Management
Track Co-Chairs
Ilias O. Pappas, Norwegian University of Science and Technology, Norway University of Agder, Norway
Hans Weigand, University of Tilburg, The Netherlands
Topics
IT Strategy and Business/IT Alignment
IT Management in the Digital Age
IT Governance, Risk, and Compliance
IT Organization and Agile IT Setups
Enterprise Architecture Management
Project and Project Portfolio Management
IT Sourcing and Cloud Computing
IT Performance Measurement and Value of IT
IT Innovation Management
Innovative Models and Tools for Strategic IT Management
Big Data Infrastructure
Metadata Governance and Data Quality Strategies
Blockchain governance
Business Analytics and Business Data Engineering
Track Co-Chairs
Kevin J Lu, Brunel University London, UK
Ann-Kristin Cordes, University of Münster, Germany
Topics
Advanced analytics, prediction, causal forecasting, and visualization
Big data veracity and quality, uncertainty and risk management
Business data integration
Business models for innovative use of big data
Corporate Knowledge Management
Decision making, forecasting, and fraud detection using big data
Social media analytics for business data engineering
Decision Support Systems
Knowledge Management
Information and Value Management
Open Data
Innovative Applications of Business Intelligence,cand Big Data
Strategic Management of Business Intelligence, Business Analytics and Big Data
Industry 4.0 (Industry Applications)
Track Co-Chairs
Christian Janiesch, University of Würzburg, Germany
Önder Gürcan, LICIA/CEA, France
Topics
I4.0 Architectures
Enterprise Interoperability and Integration
Modelling Languages for I4.0
Managing Evolution and Variability
Business Intelligence and Data Analytics for I4.0
Web Technologies for I4.0
Interoperability of Legacy Systems
DevOps for Production Systems
Decision Support for Design-time and Run-time
Human-Machine Interactions in I4.0
Empirical studies: Case Studies, Experience Reports, Experiments, …
Business Innovations and Digital Transformation
Track Co-Chairs
Anne-Laure Mention, RMIT University, Australia
Topics
Approaches to leveraging digital technologies for service innovation and competitive advantage
Integrating business models with enterprise models
Interaction between business model innovation and service innovation
Theories, methods and tools for designing innovation in business models and services
Digital transformation and disruptive business innovation
Technology-enabled new business models
Challenges in digital transformation
Data-Driven Business Applications
Track Co-Chairs
Jeffrey Parsons, University of Newfoundland, Canada
Martin Matzner, University of Erlangen-Nürnberg, Germany
Topics
Data-centric business models
Business Value Creation from Big Data
Big Data as a Service
Consumerization of Big Data Analysis
Big Data Analytics for Small Business Enterprises (SMEs)
Data-Driven Applications in Business, Finance, Transportation, Retailing, Telecomm.
General Topics
Track Co-Chairs
Jaap Gordijn, VU Amsterdam, The Netherlands
Stephan Aier, University of St. Gallen, Switzerland
Topics
The General Topics track intends to solicit submissions not covered by other CBI 2020 tracks or having a cross-thematic scope in the field of Business Informatics. Please check the topics of the other CBI 2020 tracks before submitting your paper to the General Topics track. Possible topics include, but are not limited to:
Methodological Reflections and Research Methods
Digital Work and Life
Service Science and Engineering
Human-Computer-Interaction and User Interfaces
Learning and Teaching Business Informatics