International Conference on Business Informatics 2017

Country: Greece

City: Thessaloniki

Abstr. due: 20.03.2017

Dates: 24.07.17 — 27.07.17

Organizing comittee e-mail:

Organizers: IEEE


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) (
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
    Model quality
    Model-driven software development
    Modelling methods
    Models at runtime
    Multilevel modelling

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


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