Business Informatics is the scientific discipline targeting information processes and related phenomena in their socio-economical business context, including companies, organisations, administrations and society in general. As a field of study, it endeavours to take a systematic and analytic approach in adopting a multi-disciplinary orientation that draws theories and practices from the fields of management science, organisational science, computer science, systems engineering, information systems, information management, social science, and economics information science. The IEEE CBI 2017 is aimed at creating a forum for researchers and practitioners from the fields that contribute to the construction, use and maintenance of information systems and the organisational context in which they are embedded. To this end, CBI 2017 welcomes submissions from the diverse spectrum of fields that underpin the field of ‘business informatics’. Submissions may fall into one of three categories:
Research papers describing original research contributions (theoretical, methodological or conceptual).
Practice papers discussing problems or challenges that organisations (private or public) face, relate them to the wider domain and provide useful insights to practitioners from similar organisations and contexts.
Visionary papers introducing new ideas and directions for research by analysing the current state of the art, identifying the gaps and issues that need to addressed, introducing an approach as a potential means to bridge the gaps.
Best papers will be invited for a special issue of the Journal of Complex Systems Informatics and Modeling Quarterly (CSIMQ) (https://csimq-journals.rtu.lv).
Workshops and a Doctoral Consortium will complement the main conference.
The following are given as indicative and submissions may not be limited to these.
TRACK: Data Analytics
Business Intelligence
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
Information retrieval, information filtering and recommender systems
Social media analytics for business data engineering
Decision Information Systems
Knowledge Management
Information and Value Management
TRACK: Business Process Management
Business Process Analysis
Business Process Execution
Business Process Matching
Business Process Modelling
Complex Event Processing
Compliance of Business Processes
Monitoring of Business Processes
Similarity of Business Processes
Business Process Engineering and Reengineering
Process Mining
TRACK: Business Innovation
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
TRACK: Enterprise Modelling
Advanced modelling environments
Economics of conceptual modelling
Meta-modelling
Model quality
Model-driven software development
Modelling methods
Models at runtime
Multilevel modelling
Patterns
TRACK: Enterprise Architecture and Enterprise Engineering
Agile methods for Enterprise Engineering & Architecture
Business Rules
Enterprise & Business transformation
Enterprise Architecture Languages, Methods, Management and Governance
Enterprise Modelling and Simulation
Enterprise Ontology
Methods for enterprise & business transformation
TRACK: Industry services
Business models for industrial service
Industrial service reference models
IT systems for industrial service support
Planning approaches and business processes for industrial service
Remote service concepts and tools
Service data analytics and reliability engineering
Service for industrial software
TRACK: Information Systems Engineering
Requirements Engineering
Method Engineering
Software Testing
Information Security and Risk
Human-Computer Interaction
Social Computing and Social Network Analysis
User-Centred Approaches
Collaborative Computing
TRACK: Business Informatics Infrastructures
Cyber-Physical Systems
Web Information Systems
Grid Computing and Cloud Computing
Internet of Things
Pervasive and Mobile Computing
TRACK: ‘Smartness’ in Systems
Smart factories (industry 4.0, Factories of the Future)
Smart government
Smart transportation
Smart education and training
Smart health care
Smart homes
Smart energy
Smart city operations
TRACK: Reflective Research and Practice
Research Methodologies in Information Science
Impact of Information on the Enterprise and the Individual
Lifecycle Models
Design Science and Rationale