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CBI 2020 : 22nd IEEE International Conference on Business Informatics | |||||||||||||||||
Link: https://www.uantwerpen.be/en/conferences/business-informatics/call-for-papers/ | |||||||||||||||||
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Call For Papers | |||||||||||||||||
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 |
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